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/><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand:  &lt;a href=&quot;http://www.stats.govt.nz/Census/2013-census/data-tables/regional-summary-tables-part-1.aspx&quot;&gt;" /></Indicator><Indicator id="i2131" name="Māori (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2131&amp;id=11710&amp;norefer=true" ias:uid="11710" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="Māori (%)" precision="1"><Value for="TA1">44.5</Value><Value for="TA10">NaN</Value><Value for="TA11">16.6</Value><Value for="TA12">21.2</Value><Value for="TA13">24.3</Value><Value for="TA15">14.8</Value><Value for="TA16">21.3</Value><Value for="TA17">13.8</Value><Value for="TA18">27.2</Value><Value for="TA19">32.6</Value><Value for="TA2">26.2</Value><Value for="TA20">41.8</Value><Value for="TA21">29.0</Value><Value for="TA22">18.2</Value><Value for="TA23">17.1</Value><Value 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for="TA54">17.8</Value><Value for="TA55">9.8</Value><Value for="TA56">9.3</Value><Value for="TA57">13.4</Value><Value for="TA58">7.3</Value><Value for="TA59">7.4</Value><Value for="TA6">NaN</Value><Value for="TA60">8.5</Value><Value for="TA62">7.0</Value><Value for="TA63">7.3</Value><Value for="TA64">7.4</Value><Value for="TA65">6.7</Value><Value for="TA66">6.3</Value><Value for="TA67">59.3</Value><Value for="TA68">6.5</Value><Value for="TA69">7.5</Value><Value for="TA7">10.7</Value><Value for="TA70">5.4</Value><Value for="TA71">7.7</Value><Value for="TA72">10.0</Value><Value for="TA73">10.0</Value><Value for="TA74">10.8</Value><Value for="TA75">15.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">14.9</ComparisonValue><Property name="dc:title" value="Percentage Population by Ethnicity" /><Property name="dc:description" value="NZ Census population by Territorial Authority, broken down by sex and ethnicity" 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value="count" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand:  &lt;a href=&quot;http://www.stats.govt.nz/Census/2013-census/data-tables/regional-summary-tables-part-1.aspx&quot;&gt;" /></Indicator><Indicator id="i2133" name="Asian (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2133&amp;id=11712&amp;norefer=true" ias:uid="11712" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="Asian (%)" precision="1"><Value for="TA1">2.2</Value><Value for="TA10">NaN</Value><Value for="TA11">2.6</Value><Value for="TA12">2.5</Value><Value for="TA13">3.8</Value><Value for="TA15">3.9</Value><Value for="TA16">13.8</Value><Value for="TA17">2.7</Value><Value for="TA18">2.4</Value><Value for="TA19">3.1</Value><Value for="TA2">3.5</Value><Value for="TA20">2.5</Value><Value for="TA21">3.5</Value><Value for="TA22">5.1</Value><Value for="TA23">5.6</Value><Value for="TA24">6.3</Value><Value for="TA25">2.3</Value><Value for="TA26">2.4</Value><Value for="TA27">2.5</Value><Value for="TA28">2.4</Value><Value for="TA29">1.7</Value><Value for="TA3">2.0</Value><Value for="TA30">4.3</Value><Value for="TA31">3.5</Value><Value for="TA32">1.4</Value><Value for="TA33">4.0</Value><Value for="TA34">2.2</Value><Value for="TA35">2.2</Value><Value for="TA36">2.9</Value><Value for="TA37">2.9</Value><Value for="TA38">1.6</Value><Value for="TA39">1.8</Value><Value for="TA4">NaN</Value><Value for="TA40">9.7</Value><Value for="TA41">2.1</Value><Value for="TA42">3.4</Value><Value for="TA43">3.3</Value><Value for="TA44">6.4</Value><Value for="TA45">6.0</Value><Value for="TA46">11.7</Value><Value for="TA47">15.7</Value><Value for="TA48">2.4</Value><Value for="TA49">1.3</Value><Value for="TA5">NaN</Value><Value for="TA50">2.1</Value><Value for="TA51">2.0</Value><Value for="TA52">4.4</Value><Value for="TA53">2.9</Value><Value for="TA54">2.2</Value><Value for="TA55">2.3</Value><Value for="TA56">1.8</Value><Value for="TA57">2.8</Value><Value for="TA58">2.3</Value><Value for="TA59">1.7</Value><Value for="TA6">NaN</Value><Value for="TA60">9.4</Value><Value for="TA62">3.2</Value><Value for="TA63">4.0</Value><Value for="TA64">2.3</Value><Value for="TA65">4.4</Value><Value for="TA66">2.8</Value><Value for="TA67">0.5</Value><Value for="TA68">3.1</Value><Value for="TA69">1.6</Value><Value for="TA7">23.1</Value><Value for="TA70">6.8</Value><Value for="TA71">6.2</Value><Value for="TA72">2.0</Value><Value for="TA73">3.9</Value><Value for="TA74">1.8</Value><Value for="TA75">3.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">11.8</ComparisonValue><Property name="dc:title" value="Percentage Population by Ethnicity" /><Property name="dc:description" value="NZ Census population by Territorial Authority, broken down by sex and ethnicity" /><Property name="dc:subject" value="Percentage Population by Ethnicity" /><Property name="dc:subject.keyword" value="population, ethnicity, ethnic, indigenous, migration, race" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/04/2013" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="count" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand:  &lt;a href=&quot;http://www.stats.govt.nz/Census/2013-census/data-tables/regional-summary-tables-part-1.aspx&quot;&gt;" /></Indicator><Indicator id="i2134" name="MELAA (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2134&amp;id=11713&amp;norefer=true" ias:uid="11713" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="Middle Eastern, Latin American and African (%)" precision="1"><Value for="TA1">0.4</Value><Value for="TA10">NaN</Value><Value for="TA11">0.3</Value><Value for="TA12">0.2</Value><Value for="TA13">0.4</Value><Value for="TA15">0.6</Value><Value for="TA16">2.0</Value><Value for="TA17">0.4</Value><Value for="TA18">0.2</Value><Value for="TA19">0.3</Value><Value for="TA2">0.4</Value><Value for="TA20">0.3</Value><Value for="TA21">0.5</Value><Value for="TA22">0.3</Value><Value for="TA23">0.7</Value><Value for="TA24">0.6</Value><Value for="TA25">0.2</Value><Value for="TA26">0.1</Value><Value for="TA27">0.2</Value><Value for="TA28">0.4</Value><Value for="TA29">0.1</Value><Value for="TA3">0.3</Value><Value for="TA30">0.5</Value><Value for="TA31">0.5</Value><Value for="TA32">0.3</Value><Value for="TA33">0.5</Value><Value for="TA34">0.1</Value><Value for="TA35">0.3</Value><Value for="TA36">0.1</Value><Value for="TA37">0.4</Value><Value for="TA38">0.1</Value><Value for="TA39">0.3</Value><Value for="TA4">NaN</Value><Value for="TA40">1.3</Value><Value for="TA41">0.1</Value><Value for="TA42">0.4</Value><Value for="TA43">0.4</Value><Value for="TA44">0.7</Value><Value for="TA45">1.0</Value><Value for="TA46">1.1</Value><Value for="TA47">2.5</Value><Value for="TA48">0.3</Value><Value for="TA49">0.2</Value><Value for="TA5">NaN</Value><Value for="TA50">0.2</Value><Value for="TA51">0.3</Value><Value for="TA52">0.5</Value><Value for="TA53">0.6</Value><Value for="TA54">0.7</Value><Value for="TA55">0.4</Value><Value for="TA56">0.3</Value><Value for="TA57">0.5</Value><Value for="TA58">0.6</Value><Value for="TA59">0.2</Value><Value for="TA6">NaN</Value><Value for="TA60">1.0</Value><Value for="TA62">0.6</Value><Value for="TA63">0.9</Value><Value for="TA64">0.5</Value><Value for="TA65">0.5</Value><Value for="TA66">0.5</Value><Value for="TA67">0.0</Value><Value for="TA68">0.4</Value><Value for="TA69">0.3</Value><Value for="TA7">1.9</Value><Value for="TA70">2.7</Value><Value for="TA71">1.0</Value><Value for="TA72">0.4</Value><Value for="TA73">0.6</Value><Value for="TA74">0.2</Value><Value for="TA75">0.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.2</ComparisonValue><Property name="dc:title" value="Percentage Population by Ethnicity" /><Property name="dc:description" value="NZ Census population by Territorial Authority, broken down by sex and ethnicity" /><Property name="dc:subject" value="Percentage Population by Ethnicity" /><Property name="dc:subject.keyword" value="population, ethnicity, ethnic, indigenous, migration, race" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/04/2013" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="count" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand:  &lt;a href=&quot;http://www.stats.govt.nz/Census/2013-census/data-tables/regional-summary-tables-part-1.aspx&quot;&gt;" /></Indicator><Indicator id="i2135" name="New Zealander (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2135&amp;id=11714&amp;norefer=true" ias:uid="11714" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="New Zealander (%)" precision="1"><Value for="TA1">1.6</Value><Value for="TA10">NaN</Value><Value for="TA11">2.0</Value><Value for="TA12">1.8</Value><Value for="TA13">1.7</Value><Value for="TA15">1.8</Value><Value for="TA16">1.6</Value><Value for="TA17">1.9</Value><Value for="TA18">2.1</Value><Value for="TA19">1.4</Value><Value for="TA2">2.0</Value><Value for="TA20">1.5</Value><Value for="TA21">1.9</Value><Value for="TA22">2.0</Value><Value for="TA23">1.7</Value><Value for="TA24">1.7</Value><Value for="TA25">1.7</Value><Value for="TA26">1.2</Value><Value for="TA27">1.3</Value><Value for="TA28">1.5</Value><Value for="TA29">1.2</Value><Value for="TA3">1.7</Value><Value for="TA30">1.8</Value><Value for="TA31">2.1</Value><Value for="TA32">2.0</Value><Value for="TA33">2.0</Value><Value for="TA34">2.1</Value><Value for="TA35">1.8</Value><Value for="TA36">1.4</Value><Value for="TA37">1.9</Value><Value for="TA38">2.4</Value><Value for="TA39">2.7</Value><Value for="TA4">NaN</Value><Value for="TA40">2.1</Value><Value for="TA41">2.0</Value><Value for="TA42">1.8</Value><Value for="TA43">2.2</Value><Value for="TA44">1.3</Value><Value for="TA45">1.9</Value><Value for="TA46">1.6</Value><Value for="TA47">1.8</Value><Value for="TA48">2.1</Value><Value for="TA49">2.3</Value><Value for="TA5">NaN</Value><Value for="TA50">2.3</Value><Value for="TA51">2.4</Value><Value for="TA52">2.1</Value><Value for="TA53">2.5</Value><Value for="TA54">1.8</Value><Value for="TA55">2.6</Value><Value for="TA56">2.5</Value><Value for="TA57">3.3</Value><Value for="TA58">1.9</Value><Value for="TA59">2.1</Value><Value for="TA6">NaN</Value><Value for="TA60">1.9</Value><Value for="TA62">2.2</Value><Value for="TA63">1.7</Value><Value for="TA64">2.2</Value><Value for="TA65">2.1</Value><Value for="TA66">2.0</Value><Value for="TA67">3.7</Value><Value for="TA68">1.9</Value><Value for="TA69">2.4</Value><Value for="TA7">1.1</Value><Value for="TA70">2.1</Value><Value for="TA71">2.1</Value><Value for="TA72">2.1</Value><Value for="TA73">2.5</Value><Value for="TA74">1.8</Value><Value for="TA75">2.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.6</ComparisonValue><Property name="dc:title" value="Percentage Population by Ethnicity" /><Property name="dc:description" value="NZ Census population by Territorial Authority, broken down by sex and ethnicity" /><Property name="dc:subject" value="Percentage Population by Ethnicity" /><Property name="dc:subject.keyword" value="population, ethnicity, ethnic, indigenous, migration, race" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/04/2013" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="count" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand:  &lt;a href=&quot;http://www.stats.govt.nz/Census/2013-census/data-tables/regional-summary-tables-part-1.aspx&quot;&gt;" /></Indicator><Indicator id="i2136" name="Other ethnicity (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2136&amp;id=11715&amp;norefer=true" ias:uid="11715" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="Other ethnicity (%)" precision="1"><Value for="TA1">0.1</Value><Value for="TA10">NaN</Value><Value for="TA11">0.1</Value><Value for="TA12">0.0</Value><Value for="TA13">0.0</Value><Value for="TA15">0.0</Value><Value for="TA16">0.1</Value><Value for="TA17">0.0</Value><Value for="TA18">0.0</Value><Value for="TA19">0.0</Value><Value for="TA2">0.0</Value><Value for="TA20">0.0</Value><Value for="TA21">0.0</Value><Value for="TA22">0.0</Value><Value for="TA23">0.0</Value><Value for="TA24">0.0</Value><Value for="TA25">0.0</Value><Value for="TA26">0.0</Value><Value for="TA27">0.0</Value><Value for="TA28">0.1</Value><Value for="TA29">0.0</Value><Value for="TA3">0.1</Value><Value for="TA30">0.0</Value><Value for="TA31">0.1</Value><Value for="TA32">0.0</Value><Value for="TA33">0.0</Value><Value for="TA34">0.0</Value><Value for="TA35">0.1</Value><Value for="TA36">0.1</Value><Value for="TA37">0.0</Value><Value for="TA38">0.1</Value><Value for="TA39">0.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.1</Value><Value for="TA41">0.1</Value><Value for="TA42">0.0</Value><Value for="TA43">0.0</Value><Value for="TA44">0.1</Value><Value for="TA45">0.0</Value><Value for="TA46">0.1</Value><Value for="TA47">0.1</Value><Value for="TA48">0.0</Value><Value for="TA49">0.0</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">0.0</Value><Value for="TA52">0.0</Value><Value for="TA53">0.0</Value><Value for="TA54">0.1</Value><Value for="TA55">0.1</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">0.1</Value><Value for="TA59">0.0</Value><Value for="TA6">NaN</Value><Value for="TA60">0.1</Value><Value for="TA62">0.0</Value><Value for="TA63">0.0</Value><Value for="TA64">0.0</Value><Value for="TA65">0.1</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.0</Value><Value for="TA69">0.0</Value><Value for="TA7">0.1</Value><Value for="TA70">0.0</Value><Value for="TA71">0.0</Value><Value for="TA72">0.0</Value><Value for="TA73">0.0</Value><Value for="TA74">0.0</Value><Value for="TA75">0.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">0.0</ComparisonValue><Property name="dc:title" value="Percentage Population by Ethnicity" /><Property name="dc:description" value="NZ Census population by Territorial Authority, broken down by sex and ethnicity" /><Property name="dc:subject" value="Percentage Population by Ethnicity" /><Property name="dc:subject.keyword" value="population, ethnicity, ethnic, indigenous, migration, race" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/04/2013" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="count" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand:  &lt;a href=&quot;http://www.stats.govt.nz/Census/2013-census/data-tables/regional-summary-tables-part-1.aspx&quot;&gt;" /></Indicator></Theme><Theme id="VulnerablePopulations" ias:uid="655" name="Vulnerable Populations" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i1428" name="Percentage single person households 65 years and over" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=1428&amp;id=13115&amp;norefer=true" ias:uid="13115" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Percentage single person households 65 years and over" precision="1"><Value for="TA1">11.3</Value><Value for="TA10">NaN</Value><Value for="TA11">14.8</Value><Value for="TA12">14.4</Value><Value for="TA13">7.2</Value><Value for="TA15">12.6</Value><Value for="TA16">8.9</Value><Value for="TA17">10.9</Value><Value for="TA18">9.3</Value><Value for="TA19">11.0</Value><Value for="TA2">12.0</Value><Value for="TA20">9.7</Value><Value for="TA21">10.8</Value><Value for="TA22">10.2</Value><Value for="TA23">13.2</Value><Value for="TA24">10.1</Value><Value for="TA25">10.8</Value><Value for="TA26">13.2</Value><Value for="TA27">11.6</Value><Value for="TA28">10.9</Value><Value for="TA29">11.7</Value><Value for="TA3">13.2</Value><Value for="TA30">11.2</Value><Value for="TA31">14.9</Value><Value for="TA32">11.1</Value><Value for="TA33">12.2</Value><Value for="TA34">11.9</Value><Value for="TA35">10.7</Value><Value for="TA36">10.0</Value><Value for="TA37">15.6</Value><Value for="TA38">12.2</Value><Value for="TA39">10.4</Value><Value for="TA4">NaN</Value><Value for="TA40">10.5</Value><Value for="TA41">11.7</Value><Value for="TA42">15.9</Value><Value for="TA43">16.8</Value><Value for="TA44">6.7</Value><Value for="TA45">11.0</Value><Value for="TA46">9.9</Value><Value for="TA47">7.0</Value><Value for="TA48">14.4</Value><Value for="TA49">12.5</Value><Value for="TA5">NaN</Value><Value for="TA50">12.6</Value><Value for="TA51">10.5</Value><Value for="TA52">12.2</Value><Value for="TA53">12.4</Value><Value for="TA54">11.4</Value><Value for="TA55">11.2</Value><Value for="TA56">11.7</Value><Value for="TA57">11.1</Value><Value for="TA58">10.4</Value><Value for="TA59">9.8</Value><Value for="TA6">NaN</Value><Value for="TA60">10.9</Value><Value for="TA62">5.5</Value><Value for="TA63">10.8</Value><Value for="TA64">14.1</Value><Value for="TA65">9.7</Value><Value for="TA66">13.9</Value><Value for="TA67">9.1</Value><Value for="TA68">14.9</Value><Value for="TA69">11.5</Value><Value for="TA7">7.7</Value><Value for="TA70">5.1</Value><Value for="TA71">12.1</Value><Value for="TA72">12.0</Value><Value for="TA73">8.0</Value><Value for="TA74">14.0</Value><Value for="TA75">12.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">10.0</ComparisonValue><Property name="dc:title" value="Percentage single person households 65 years and over" /><Property name="dc:description" value="Provides data on percentage of single person households (occupied dwellings) aged over sixty five years on census night of the year stated and who lived alone in their own home." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="measure" value="percentage of households of theTA stated" /><Property name="numerator" value="number of people aged over sixty-five years on census night of the year stated in the TA stated who lived alone in their own home" /><Property name="denominator" value="Total number of households (occupied dwellings) on the Census night of the year stated" /></Indicator><Indicator id="i2347" name="Percentage single person households 85 years and over" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2347&amp;id=13116&amp;norefer=true" ias:uid="13116" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Percentage single person households 85 years and over" precision="1"><Value for="TA1">1.5</Value><Value for="TA10">NaN</Value><Value for="TA11">2.7</Value><Value for="TA12">2.0</Value><Value for="TA13">1.1</Value><Value for="TA15">2.5</Value><Value for="TA16">1.8</Value><Value for="TA17">1.7</Value><Value for="TA18">1.3</Value><Value for="TA19">1.3</Value><Value for="TA2">2.2</Value><Value for="TA20">1.6</Value><Value for="TA21">2.0</Value><Value for="TA22">1.8</Value><Value for="TA23">2.9</Value><Value for="TA24">1.8</Value><Value for="TA25">1.8</Value><Value for="TA26">1.3</Value><Value for="TA27">1.7</Value><Value for="TA28">1.6</Value><Value for="TA29">1.6</Value><Value for="TA3">2.0</Value><Value for="TA30">2.2</Value><Value for="TA31">3.0</Value><Value for="TA32">1.6</Value><Value for="TA33">2.5</Value><Value for="TA34">2.2</Value><Value for="TA35">1.8</Value><Value for="TA36">1.6</Value><Value for="TA37">2.9</Value><Value for="TA38">1.9</Value><Value for="TA39">1.9</Value><Value for="TA4">NaN</Value><Value for="TA40">2.1</Value><Value for="TA41">2.0</Value><Value for="TA42">2.5</Value><Value for="TA43">3.8</Value><Value for="TA44">0.9</Value><Value for="TA45">2.0</Value><Value for="TA46">1.6</Value><Value for="TA47">1.1</Value><Value for="TA48">2.8</Value><Value for="TA49">1.4</Value><Value for="TA5">NaN</Value><Value for="TA50">2.2</Value><Value for="TA51">2.0</Value><Value for="TA52">2.4</Value><Value for="TA53">2.4</Value><Value for="TA54">2.5</Value><Value for="TA55">1.4</Value><Value for="TA56">1.4</Value><Value for="TA57">1.6</Value><Value for="TA58">1.7</Value><Value for="TA59">1.6</Value><Value for="TA6">NaN</Value><Value for="TA60">2.1</Value><Value for="TA62">0.8</Value><Value for="TA63">2.1</Value><Value for="TA64">2.9</Value><Value for="TA65">1.5</Value><Value for="TA66">3.1</Value><Value for="TA67">0.0</Value><Value for="TA68">2.8</Value><Value for="TA69">2.1</Value><Value for="TA7">1.5</Value><Value for="TA70">0.9</Value><Value for="TA71">2.4</Value><Value for="TA72">1.9</Value><Value for="TA73">1.1</Value><Value for="TA74">3.0</Value><Value for="TA75">2.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.9</ComparisonValue><Property name="dc:title" value="Percentage single person households 85 years and over" /><Property name="dc:description" value="Provides data on percentage of the single person households (occupied dwellings)  aged over eighty five years on census night of the year" /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="measure" value="percentage of households of theTA stated" /><Property name="numerator" value="number of people aged over eighty five years on census night of the year stated in the TA stated who lived alone in their own home" /><Property name="denominator" value="Total number of households (occupied dwellings) on the Census night of the year stated" /></Indicator><Indicator id="i2305" name="Percentage population under 5 years" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2305&amp;id=12496&amp;norefer=true" ias:uid="12496" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Percentage population under 5 years" precision="1"><Value for="TA1">7.7</Value><Value for="TA10">NaN</Value><Value for="TA11">5.6</Value><Value for="TA12">7.4</Value><Value for="TA13">8.4</Value><Value for="TA15">7.8</Value><Value for="TA16">7.6</Value><Value for="TA17">7.2</Value><Value for="TA18">7.9</Value><Value for="TA19">9.2</Value><Value for="TA2">7.3</Value><Value for="TA20">8.4</Value><Value for="TA21">7.9</Value><Value for="TA22">6.9</Value><Value for="TA23">7.0</Value><Value for="TA24">8.4</Value><Value for="TA25">8.4</Value><Value for="TA26">9.5</Value><Value for="TA27">8.2</Value><Value for="TA28">8.8</Value><Value for="TA29">8.4</Value><Value for="TA3">7.4</Value><Value for="TA30">8.1</Value><Value for="TA31">6.9</Value><Value for="TA32">7.0</Value><Value for="TA33">6.8</Value><Value for="TA34">6.9</Value><Value for="TA35">7.7</Value><Value for="TA36">8.8</Value><Value for="TA37">7.0</Value><Value for="TA38">7.9</Value><Value for="TA39">7.3</Value><Value for="TA4">NaN</Value><Value for="TA40">6.9</Value><Value for="TA41">7.7</Value><Value for="TA42">7.0</Value><Value for="TA43">6.2</Value><Value for="TA44">9.6</Value><Value for="TA45">7.4</Value><Value for="TA46">7.9</Value><Value for="TA47">6.5</Value><Value for="TA48">7.1</Value><Value for="TA49">6.8</Value><Value for="TA5">NaN</Value><Value for="TA50">7.0</Value><Value for="TA51">6.8</Value><Value for="TA52">6.2</Value><Value for="TA53">6.3</Value><Value for="TA54">5.9</Value><Value for="TA55">6.1</Value><Value for="TA56">6.9</Value><Value for="TA57">6.0</Value><Value for="TA58">6.8</Value><Value for="TA59">7.5</Value><Value for="TA6">NaN</Value><Value for="TA60">6.3</Value><Value for="TA62">7.1</Value><Value for="TA63">6.2</Value><Value for="TA64">6.2</Value><Value for="TA65">6.3</Value><Value for="TA66">6.3</Value><Value for="TA67">8.3</Value><Value for="TA68">5.7</Value><Value for="TA69">5.6</Value><Value for="TA7">7.6</Value><Value for="TA70">6.5</Value><Value for="TA71">5.7</Value><Value for="TA72">7.2</Value><Value for="TA73">6.8</Value><Value for="TA74">6.7</Value><Value for="TA75">7.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Percentage population under 5 years" /><Property name="dc:description" value="Provides data on percentage of the usual resident population who were aged under five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, child, children, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="measure" value="percentage of total population of the DHB stated" /><Property name="numerator" value="number of children aged under five years on census night of the year stated in the DHB stated" /><Property name="denominator" value="total population on census night of the year stated in the DHB stated" /></Indicator><Indicator id="i2305" name="Percentage population under 5 years" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2305&amp;id=12497&amp;norefer=true" ias:uid="12497" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Percentage population under 5 years" precision="1"><Value for="TA1">7.0</Value><Value for="TA10">NaN</Value><Value for="TA11">5.3</Value><Value for="TA12">6.3</Value><Value for="TA13">8.0</Value><Value for="TA15">7.0</Value><Value for="TA16">7.4</Value><Value for="TA17">6.8</Value><Value for="TA18">7.6</Value><Value for="TA19">7.8</Value><Value for="TA2">6.8</Value><Value for="TA20">8.1</Value><Value for="TA21">7.0</Value><Value for="TA22">6.0</Value><Value for="TA23">6.7</Value><Value for="TA24">8.0</Value><Value for="TA25">7.7</Value><Value for="TA26">8.8</Value><Value for="TA27">8.0</Value><Value for="TA28">8.2</Value><Value for="TA29">8.1</Value><Value for="TA3">7.2</Value><Value for="TA30">7.4</Value><Value for="TA31">6.6</Value><Value for="TA32">6.7</Value><Value for="TA33">6.2</Value><Value for="TA34">7.2</Value><Value for="TA35">7.6</Value><Value for="TA36">7.6</Value><Value for="TA37">6.3</Value><Value for="TA38">6.6</Value><Value for="TA39">6.4</Value><Value for="TA4">NaN</Value><Value for="TA40">6.7</Value><Value for="TA41">7.3</Value><Value for="TA42">6.3</Value><Value for="TA43">5.7</Value><Value for="TA44">8.7</Value><Value for="TA45">6.7</Value><Value for="TA46">7.6</Value><Value for="TA47">6.2</Value><Value for="TA48">6.2</Value><Value for="TA49">6.6</Value><Value for="TA5">NaN</Value><Value for="TA50">6.5</Value><Value for="TA51">6.5</Value><Value for="TA52">5.9</Value><Value for="TA53">5.6</Value><Value for="TA54">5.3</Value><Value for="TA55">5.7</Value><Value for="TA56">6.4</Value><Value for="TA57">6.0</Value><Value for="TA58">6.7</Value><Value for="TA59">6.7</Value><Value for="TA6">NaN</Value><Value for="TA60">6.2</Value><Value for="TA62">7.1</Value><Value for="TA63">6.4</Value><Value for="TA64">5.4</Value><Value for="TA65">6.3</Value><Value for="TA66">5.6</Value><Value for="TA67">8.3</Value><Value for="TA68">5.5</Value><Value for="TA69">5.8</Value><Value for="TA7">7.2</Value><Value for="TA70">5.7</Value><Value for="TA71">5.2</Value><Value for="TA72">7.0</Value><Value for="TA73">7.2</Value><Value for="TA74">6.3</Value><Value for="TA75">6.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Percentage population under 5 years" /><Property name="dc:description" value="Provides data on percentage of the usual resident population who were aged under five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, child, children, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="measure" value="percentage of total population of the DHB stated" /><Property name="numerator" value="number of children aged under five years on census night of the year stated in the DHB stated" /><Property name="denominator" value="total population on census night of the year stated in the DHB stated" /></Indicator><Indicator id="i2305" name="Percentage population under 5 years" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2305&amp;id=12498&amp;norefer=true" ias:uid="12498" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Percentage population under 5 years" precision="1"><Value for="TA1">7.1</Value><Value for="TA10">NaN</Value><Value for="TA11">4.9</Value><Value for="TA12">6.5</Value><Value for="TA13">7.4</Value><Value for="TA15">7.1</Value><Value for="TA16">7.8</Value><Value for="TA17">6.7</Value><Value for="TA18">8.2</Value><Value for="TA19">8.1</Value><Value for="TA2">7.2</Value><Value for="TA20">7.9</Value><Value for="TA21">7.2</Value><Value for="TA22">6.0</Value><Value for="TA23">6.9</Value><Value for="TA24">7.6</Value><Value for="TA25">7.3</Value><Value for="TA26">8.8</Value><Value for="TA27">6.9</Value><Value for="TA28">8.0</Value><Value for="TA29">8.5</Value><Value for="TA3">6.3</Value><Value for="TA30">7.4</Value><Value for="TA31">6.7</Value><Value for="TA32">7.2</Value><Value for="TA33">6.9</Value><Value for="TA34">7.5</Value><Value for="TA35">7.9</Value><Value for="TA36">8.5</Value><Value for="TA37">6.7</Value><Value for="TA38">7.2</Value><Value for="TA39">6.6</Value><Value for="TA4">NaN</Value><Value for="TA40">7.0</Value><Value for="TA41">7.3</Value><Value for="TA42">6.1</Value><Value for="TA43">5.8</Value><Value for="TA44">8.6</Value><Value for="TA45">6.8</Value><Value for="TA46">7.4</Value><Value for="TA47">6.0</Value><Value for="TA48">6.2</Value><Value for="TA49">6.6</Value><Value for="TA5">NaN</Value><Value for="TA50">6.6</Value><Value for="TA51">5.8</Value><Value for="TA52">6.1</Value><Value for="TA53">6.2</Value><Value for="TA54">5.9</Value><Value for="TA55">6.4</Value><Value for="TA56">7.0</Value><Value for="TA57">6.3</Value><Value for="TA58">6.5</Value><Value for="TA59">5.9</Value><Value for="TA6">NaN</Value><Value for="TA60">6.1</Value><Value for="TA62">6.8</Value><Value for="TA63">7.4</Value><Value for="TA64">5.8</Value><Value for="TA65">6.6</Value><Value for="TA66">5.9</Value><Value for="TA67">6.0</Value><Value for="TA68">5.9</Value><Value for="TA69">5.9</Value><Value for="TA7">7.2</Value><Value for="TA70">7.2</Value><Value for="TA71">5.3</Value><Value for="TA72">6.6</Value><Value for="TA73">7.3</Value><Value for="TA74">6.5</Value><Value for="TA75">6.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Percentage population under 5 years" /><Property name="dc:description" value="Provides data on percentage of the usual resident population who were aged under five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, child, children, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="measure" value="percentage of total population of the DHB stated" /><Property name="numerator" value="number of children aged under five years on census night of the year stated in the DHB stated" /><Property name="denominator" value="total population on census night of the year stated in the DHB stated" /></Indicator><Indicator id="i2306" name="Percentage population 65 years and over" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2306&amp;id=12499&amp;norefer=true" ias:uid="12499" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Percentage population 65 years and over" precision="1"><Value for="TA1">12.5</Value><Value for="TA10">NaN</Value><Value for="TA11">20.5</Value><Value for="TA12">14.6</Value><Value for="TA13">9.3</Value><Value for="TA15">14.0</Value><Value for="TA16">10.0</Value><Value for="TA17">13.2</Value><Value for="TA18">9.5</Value><Value for="TA19">9.8</Value><Value for="TA2">14.1</Value><Value for="TA20">10.9</Value><Value for="TA21">12.2</Value><Value for="TA22">14.4</Value><Value for="TA23">17.2</Value><Value for="TA24">10.6</Value><Value for="TA25">11.4</Value><Value for="TA26">9.1</Value><Value for="TA27">12.4</Value><Value for="TA28">11.7</Value><Value for="TA29">11.6</Value><Value for="TA3">13.3</Value><Value for="TA30">12.4</Value><Value for="TA31">15.3</Value><Value for="TA32">12.1</Value><Value for="TA33">14.9</Value><Value for="TA34">14.2</Value><Value for="TA35">12.4</Value><Value for="TA36">9.9</Value><Value for="TA37">16.0</Value><Value for="TA38">12.9</Value><Value for="TA39">12.4</Value><Value for="TA4">NaN</Value><Value for="TA40">11.2</Value><Value for="TA41">13.0</Value><Value for="TA42">18.5</Value><Value for="TA43">22.3</Value><Value for="TA44">6.8</Value><Value for="TA45">11.9</Value><Value for="TA46">10.5</Value><Value for="TA47">8.6</Value><Value for="TA48">15.5</Value><Value for="TA49">14.3</Value><Value for="TA5">NaN</Value><Value for="TA50">14.7</Value><Value for="TA51">13.1</Value><Value for="TA52">14.3</Value><Value for="TA53">15.5</Value><Value for="TA54">15.3</Value><Value for="TA55">14.9</Value><Value for="TA56">13.0</Value><Value for="TA57">12.4</Value><Value for="TA58">13.3</Value><Value for="TA59">12.2</Value><Value for="TA6">NaN</Value><Value for="TA60">13.7</Value><Value for="TA62">8.3</Value><Value for="TA63">16.4</Value><Value for="TA64">17.6</Value><Value for="TA65">12.0</Value><Value for="TA66">17.6</Value><Value for="TA67">6.3</Value><Value for="TA68">19.4</Value><Value for="TA69">17.7</Value><Value for="TA7">10.0</Value><Value for="TA70">9.8</Value><Value for="TA71">13.3</Value><Value for="TA72">12.8</Value><Value for="TA73">11.0</Value><Value for="TA74">15.1</Value><Value for="TA75">13.9</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue></Indicator><Indicator id="i2306" name="Percentage population 65 years and over" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2306&amp;id=12500&amp;norefer=true" ias:uid="12500" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Percentage population 65 years and over" precision="1"><Value for="TA1">13.8</Value><Value for="TA10">NaN</Value><Value for="TA11">21.2</Value><Value for="TA12">17.1</Value><Value for="TA13">9.7</Value><Value for="TA15">15.6</Value><Value for="TA16">10.1</Value><Value for="TA17">14.2</Value><Value for="TA18">10.3</Value><Value for="TA19">12.6</Value><Value for="TA2">14.9</Value><Value for="TA20">11.4</Value><Value for="TA21">13.6</Value><Value for="TA22">15.6</Value><Value for="TA23">17.4</Value><Value for="TA24">11.1</Value><Value for="TA25">12.6</Value><Value for="TA26">12.4</Value><Value for="TA27">13.9</Value><Value for="TA28">12.0</Value><Value for="TA29">12.1</Value><Value for="TA3">14.9</Value><Value for="TA30">12.9</Value><Value for="TA31">15.6</Value><Value for="TA32">13.3</Value><Value for="TA33">15.4</Value><Value for="TA34">15.1</Value><Value for="TA35">13.2</Value><Value for="TA36">10.5</Value><Value for="TA37">17.3</Value><Value for="TA38">14.4</Value><Value for="TA39">13.4</Value><Value for="TA4">NaN</Value><Value for="TA40">11.5</Value><Value for="TA41">13.9</Value><Value for="TA42">20.0</Value><Value for="TA43">23.3</Value><Value for="TA44">7.9</Value><Value for="TA45">12.5</Value><Value for="TA46">10.9</Value><Value for="TA47">8.4</Value><Value for="TA48">16.9</Value><Value for="TA49">15.0</Value><Value for="TA5">NaN</Value><Value for="TA50">16.3</Value><Value for="TA51">13.6</Value><Value for="TA52">14.5</Value><Value for="TA53">16.2</Value><Value for="TA54">14.9</Value><Value for="TA55">15.6</Value><Value for="TA56">13.5</Value><Value for="TA57">12.3</Value><Value for="TA58">14.4</Value><Value for="TA59">13.9</Value><Value for="TA6">NaN</Value><Value for="TA60">13.5</Value><Value for="TA62">9.0</Value><Value for="TA63">16.3</Value><Value for="TA64">18.3</Value><Value for="TA65">13.0</Value><Value for="TA66">19.2</Value><Value for="TA67">7.8</Value><Value for="TA68">20.0</Value><Value for="TA69">17.4</Value><Value for="TA7">9.9</Value><Value for="TA70">8.6</Value><Value for="TA71">13.4</Value><Value for="TA72">13.4</Value><Value for="TA73">11.6</Value><Value for="TA74">16.8</Value><Value for="TA75">14.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue></Indicator><Indicator id="i2306" name="Percentage population 65 years and over" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2306&amp;id=12501&amp;norefer=true" ias:uid="12501" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Percentage population 65 years and over" precision="1"><Value for="TA1">18.0</Value><Value for="TA10">NaN</Value><Value for="TA11">26.9</Value><Value for="TA12">21.9</Value><Value for="TA13">11.8</Value><Value for="TA15">18.0</Value><Value for="TA16">11.4</Value><Value for="TA17">16.2</Value><Value for="TA18">13.1</Value><Value for="TA19">15.8</Value><Value for="TA2">18.1</Value><Value for="TA20">13.6</Value><Value for="TA21">17.0</Value><Value for="TA22">19.3</Value><Value for="TA23">19.3</Value><Value for="TA24">13.8</Value><Value for="TA25">15.3</Value><Value for="TA26">17.5</Value><Value for="TA27">17.2</Value><Value for="TA28">14.1</Value><Value for="TA29">15.5</Value><Value for="TA3">20.0</Value><Value for="TA30">15.5</Value><Value for="TA31">18.6</Value><Value for="TA32">17.3</Value><Value for="TA33">16.8</Value><Value for="TA34">16.2</Value><Value for="TA35">14.7</Value><Value for="TA36">13.2</Value><Value for="TA37">19.3</Value><Value for="TA38">17.6</Value><Value for="TA39">15.8</Value><Value for="TA4">NaN</Value><Value for="TA40">13.3</Value><Value for="TA41">17.0</Value><Value for="TA42">23.8</Value><Value for="TA43">25.3</Value><Value for="TA44">10.3</Value><Value for="TA45">14.5</Value><Value for="TA46">12.8</Value><Value for="TA47">9.5</Value><Value for="TA48">19.1</Value><Value for="TA49">18.7</Value><Value for="TA5">NaN</Value><Value for="TA50">19.5</Value><Value for="TA51">18.0</Value><Value for="TA52">17.5</Value><Value for="TA53">20.5</Value><Value for="TA54">19.5</Value><Value for="TA55">16.7</Value><Value for="TA56">16.0</Value><Value for="TA57">15.5</Value><Value for="TA58">17.6</Value><Value for="TA59">16.8</Value><Value for="TA6">NaN</Value><Value for="TA60">15.0</Value><Value for="TA62">10.8</Value><Value for="TA63">16.8</Value><Value for="TA64">20.5</Value><Value for="TA65">15.9</Value><Value for="TA66">22.3</Value><Value for="TA67">12.0</Value><Value for="TA68">22.1</Value><Value for="TA69">21.3</Value><Value for="TA7">11.5</Value><Value for="TA70">10.8</Value><Value for="TA71">14.9</Value><Value for="TA72">15.7</Value><Value for="TA73">13.6</Value><Value for="TA74">19.0</Value><Value for="TA75">16.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue></Indicator><Indicator id="i2307" name="Percentage population 85 years and over" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2307&amp;id=12502&amp;norefer=true" ias:uid="12502" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Percentage population 85 years and over" precision="1"><Value for="TA1">1.0</Value><Value for="TA10">NaN</Value><Value for="TA11">1.9</Value><Value for="TA12">1.4</Value><Value for="TA13">0.8</Value><Value for="TA15">1.4</Value><Value for="TA16">1.1</Value><Value for="TA17">1.7</Value><Value for="TA18">0.8</Value><Value for="TA19">0.6</Value><Value for="TA2">1.5</Value><Value for="TA20">1.0</Value><Value for="TA21">1.0</Value><Value for="TA22">1.2</Value><Value for="TA23">1.8</Value><Value for="TA24">1.0</Value><Value for="TA25">0.9</Value><Value for="TA26">0.3</Value><Value for="TA27">1.0</Value><Value for="TA28">1.3</Value><Value for="TA29">0.9</Value><Value for="TA3">1.1</Value><Value for="TA30">1.4</Value><Value for="TA31">1.6</Value><Value for="TA32">1.3</Value><Value for="TA33">1.8</Value><Value for="TA34">1.3</Value><Value for="TA35">1.4</Value><Value for="TA36">0.8</Value><Value for="TA37">1.9</Value><Value for="TA38">1.3</Value><Value for="TA39">1.3</Value><Value for="TA4">NaN</Value><Value for="TA40">1.4</Value><Value for="TA41">1.5</Value><Value for="TA42">1.9</Value><Value for="TA43">2.4</Value><Value for="TA44">0.5</Value><Value for="TA45">1.2</Value><Value for="TA46">1.2</Value><Value for="TA47">1.0</Value><Value for="TA48">1.6</Value><Value for="TA49">1.4</Value><Value for="TA5">NaN</Value><Value for="TA50">1.1</Value><Value for="TA51">1.3</Value><Value for="TA52">1.7</Value><Value for="TA53">1.6</Value><Value for="TA54">1.3</Value><Value for="TA55">1.2</Value><Value for="TA56">1.2</Value><Value for="TA57">1.1</Value><Value for="TA58">1.0</Value><Value for="TA59">1.0</Value><Value for="TA6">NaN</Value><Value for="TA60">1.6</Value><Value for="TA62">0.6</Value><Value for="TA63">1.8</Value><Value for="TA64">2.0</Value><Value for="TA65">0.8</Value><Value for="TA66">2.1</Value><Value for="TA67">0.4</Value><Value for="TA68">2.2</Value><Value for="TA69">1.5</Value><Value for="TA7">1.2</Value><Value for="TA70">0.9</Value><Value for="TA71">1.6</Value><Value for="TA72">1.2</Value><Value for="TA73">0.8</Value><Value for="TA74">1.5</Value><Value for="TA75">1.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue></Indicator><Indicator id="i2307" name="Percentage population 85 years and over" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2307&amp;id=12503&amp;norefer=true" ias:uid="12503" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Percentage population 85 years and over" precision="1"><Value for="TA1">1.2</Value><Value for="TA10">NaN</Value><Value for="TA11">2.2</Value><Value for="TA12">1.7</Value><Value for="TA13">0.9</Value><Value for="TA15">1.6</Value><Value for="TA16">1.2</Value><Value for="TA17">1.7</Value><Value for="TA18">1.0</Value><Value for="TA19">0.9</Value><Value for="TA2">1.6</Value><Value for="TA20">1.1</Value><Value for="TA21">1.2</Value><Value for="TA22">1.3</Value><Value for="TA23">2.1</Value><Value for="TA24">1.1</Value><Value for="TA25">1.2</Value><Value for="TA26">0.7</Value><Value for="TA27">1.3</Value><Value for="TA28">1.3</Value><Value for="TA29">0.9</Value><Value for="TA3">1.3</Value><Value for="TA30">1.6</Value><Value for="TA31">1.8</Value><Value for="TA32">1.4</Value><Value for="TA33">1.9</Value><Value for="TA34">1.5</Value><Value for="TA35">1.4</Value><Value for="TA36">1.0</Value><Value for="TA37">2.1</Value><Value for="TA38">1.4</Value><Value for="TA39">1.5</Value><Value for="TA4">NaN</Value><Value for="TA40">1.4</Value><Value for="TA41">1.6</Value><Value for="TA42">2.2</Value><Value for="TA43">2.9</Value><Value for="TA44">0.6</Value><Value for="TA45">1.4</Value><Value for="TA46">1.2</Value><Value for="TA47">1.0</Value><Value for="TA48">2.0</Value><Value for="TA49">1.7</Value><Value for="TA5">NaN</Value><Value for="TA50">1.5</Value><Value for="TA51">1.5</Value><Value for="TA52">1.9</Value><Value for="TA53">1.7</Value><Value for="TA54">1.2</Value><Value for="TA55">1.6</Value><Value for="TA56">1.4</Value><Value for="TA57">1.3</Value><Value for="TA58">1.2</Value><Value for="TA59">1.2</Value><Value for="TA6">NaN</Value><Value for="TA60">1.8</Value><Value for="TA62">0.6</Value><Value for="TA63">1.9</Value><Value for="TA64">2.2</Value><Value for="TA65">1.1</Value><Value for="TA66">2.1</Value><Value for="TA67">0.0</Value><Value for="TA68">2.2</Value><Value for="TA69">1.7</Value><Value for="TA7">1.2</Value><Value for="TA70">0.8</Value><Value for="TA71">1.7</Value><Value for="TA72">1.3</Value><Value for="TA73">0.9</Value><Value for="TA74">2.2</Value><Value for="TA75">1.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue></Indicator><Indicator id="i2307" name="Percentage population 85 years and over" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2307&amp;id=12504&amp;norefer=true" ias:uid="12504" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Percentage population 85 years and over" precision="1"><Value for="TA1">1.5</Value><Value for="TA10">NaN</Value><Value for="TA11">2.8</Value><Value for="TA12">2.1</Value><Value for="TA13">1.2</Value><Value for="TA15">2.2</Value><Value for="TA16">1.5</Value><Value for="TA17">1.9</Value><Value for="TA18">1.3</Value><Value for="TA19">1.2</Value><Value for="TA2">2.2</Value><Value for="TA20">1.3</Value><Value for="TA21">1.6</Value><Value for="TA22">1.8</Value><Value for="TA23">2.7</Value><Value for="TA24">1.5</Value><Value for="TA25">1.6</Value><Value for="TA26">1.2</Value><Value for="TA27">1.5</Value><Value for="TA28">1.6</Value><Value for="TA29">1.4</Value><Value for="TA3">1.9</Value><Value for="TA30">1.9</Value><Value for="TA31">2.5</Value><Value for="TA32">1.5</Value><Value for="TA33">2.4</Value><Value for="TA34">2.1</Value><Value for="TA35">1.6</Value><Value for="TA36">1.3</Value><Value for="TA37">2.7</Value><Value for="TA38">1.6</Value><Value for="TA39">1.7</Value><Value for="TA4">NaN</Value><Value for="TA40">1.9</Value><Value for="TA41">2.1</Value><Value for="TA42">2.8</Value><Value for="TA43">3.7</Value><Value for="TA44">0.8</Value><Value for="TA45">1.9</Value><Value for="TA46">1.5</Value><Value for="TA47">1.1</Value><Value for="TA48">2.6</Value><Value for="TA49">1.7</Value><Value for="TA5">NaN</Value><Value for="TA50">1.8</Value><Value for="TA51">2.0</Value><Value for="TA52">2.6</Value><Value for="TA53">2.3</Value><Value for="TA54">2.0</Value><Value for="TA55">1.8</Value><Value for="TA56">1.6</Value><Value for="TA57">1.5</Value><Value for="TA58">1.6</Value><Value for="TA59">1.6</Value><Value for="TA6">NaN</Value><Value for="TA60">2.1</Value><Value for="TA62">0.7</Value><Value for="TA63">2.1</Value><Value for="TA64">2.8</Value><Value for="TA65">1.2</Value><Value for="TA66">2.6</Value><Value for="TA67">0.5</Value><Value for="TA68">2.8</Value><Value for="TA69">2.1</Value><Value for="TA7">1.4</Value><Value for="TA70">0.9</Value><Value for="TA71">2.1</Value><Value for="TA72">1.8</Value><Value for="TA73">1.0</Value><Value for="TA74">2.7</Value><Value for="TA75">2.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue></Indicator><Indicator id="i2308" name="Number of children under 5 years" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2308&amp;id=12505&amp;norefer=true" ias:uid="12505" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Number of children under 5 years" precision="1"><Value for="TA1">4212.0</Value><Value for="TA10">NaN</Value><Value for="TA11">1410.0</Value><Value for="TA12">1287.0</Value><Value for="TA13">4365.0</Value><Value for="TA15">2289.0</Value><Value for="TA16">8889.0</Value><Value for="TA17">2808.0</Value><Value for="TA18">729.0</Value><Value for="TA19">2163.0</Value><Value for="TA2">4953.0</Value><Value for="TA20">792.0</Value><Value for="TA21">2478.0</Value><Value for="TA22">2610.0</Value><Value for="TA23">6399.0</Value><Value for="TA24">5412.0</Value><Value for="TA25">2748.0</Value><Value for="TA26">660.0</Value><Value for="TA27">753.0</Value><Value for="TA28">3852.0</Value><Value for="TA29">747.0</Value><Value for="TA3">1284.0</Value><Value for="TA30">5427.0</Value><Value for="TA31">3696.0</Value><Value for="TA32">903.0</Value><Value for="TA33">4500.0</Value><Value for="TA34">615.0</Value><Value for="TA35">2130.0</Value><Value for="TA36">1263.0</Value><Value for="TA37">3024.0</Value><Value for="TA38">1185.0</Value><Value for="TA39">1872.0</Value><Value for="TA4">NaN</Value><Value for="TA40">5097.0</Value><Value for="TA41">1368.0</Value><Value for="TA42">2097.0</Value><Value for="TA43">2622.0</Value><Value for="TA44">4527.0</Value><Value for="TA45">2673.0</Value><Value for="TA46">7542.0</Value><Value for="TA47">10638.0</Value><Value for="TA48">1605.0</Value><Value for="TA49">462.0</Value><Value for="TA5">NaN</Value><Value for="TA50">612.0</Value><Value for="TA51">2811.0</Value><Value for="TA52">2586.0</Value><Value for="TA53">2478.0</Value><Value for="TA54">204.0</Value><Value for="TA55">588.0</Value><Value for="TA56">891.0</Value><Value for="TA57">465.0</Value><Value for="TA58">675.0</Value><Value for="TA59">2748.0</Value><Value for="TA6">NaN</Value><Value for="TA60">20283.0</Value><Value for="TA62">1944.0</Value><Value for="TA63">1572.0</Value><Value for="TA64">2580.0</Value><Value for="TA65">234.0</Value><Value for="TA66">447.0</Value><Value for="TA67">60.0</Value><Value for="TA68">1152.0</Value><Value for="TA69">813.0</Value><Value for="TA7">88464.0</Value><Value for="TA70">1110.0</Value><Value for="TA71">6483.0</Value><Value for="TA72">1239.0</Value><Value for="TA73">1950.0</Value><Value for="TA74">831.0</Value><Value for="TA75">3495.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of children under 5 years" /><Property name="dc:description" value="Provides data on number of children in the usual resident population who were aged under five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, child, children, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /></Indicator><Indicator id="i2308" name="Number of children under 5 years" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2308&amp;id=12506&amp;norefer=true" ias:uid="12506" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Number of children under 5 years" precision="1"><Value for="TA1">3909.0</Value><Value for="TA10">NaN</Value><Value for="TA11">1365.0</Value><Value for="TA12">1122.0</Value><Value for="TA13">4584.0</Value><Value for="TA15">2133.0</Value><Value for="TA16">9585.0</Value><Value for="TA17">2895.0</Value><Value for="TA18">690.0</Value><Value for="TA19">1755.0</Value><Value for="TA2">5055.0</Value><Value for="TA20">765.0</Value><Value for="TA21">2280.0</Value><Value for="TA22">2502.0</Value><Value for="TA23">6930.0</Value><Value for="TA24">5280.0</Value><Value for="TA25">2559.0</Value><Value for="TA26">609.0</Value><Value for="TA27">720.0</Value><Value for="TA28">3651.0</Value><Value for="TA29">684.0</Value><Value for="TA3">1308.0</Value><Value for="TA30">5238.0</Value><Value for="TA31">3645.0</Value><Value for="TA32">864.0</Value><Value for="TA33">4236.0</Value><Value for="TA34">636.0</Value><Value for="TA35">2007.0</Value><Value for="TA36">1029.0</Value><Value for="TA37">2685.0</Value><Value for="TA38">969.0</Value><Value for="TA39">1674.0</Value><Value for="TA4">NaN</Value><Value for="TA40">5208.0</Value><Value for="TA41">1284.0</Value><Value for="TA42">1881.0</Value><Value for="TA43">2622.0</Value><Value for="TA44">4218.0</Value><Value for="TA45">2577.0</Value><Value for="TA46">7422.0</Value><Value for="TA47">11106.0</Value><Value for="TA48">1392.0</Value><Value for="TA49">468.0</Value><Value for="TA5">NaN</Value><Value for="TA50">576.0</Value><Value for="TA51">2898.0</Value><Value for="TA52">2526.0</Value><Value for="TA53">2367.0</Value><Value for="TA54">192.0</Value><Value for="TA55">549.0</Value><Value for="TA56">843.0</Value><Value for="TA57">507.0</Value><Value for="TA58">705.0</Value><Value for="TA59">2883.0</Value><Value for="TA6">NaN</Value><Value for="TA60">21480.0</Value><Value for="TA62">2394.0</Value><Value for="TA63">1749.0</Value><Value for="TA64">2325.0</Value><Value for="TA65">240.0</Value><Value for="TA66">402.0</Value><Value for="TA67">51.0</Value><Value for="TA68">1110.0</Value><Value for="TA69">957.0</Value><Value for="TA7">94077.0</Value><Value for="TA70">1302.0</Value><Value for="TA71">6186.0</Value><Value for="TA72">1173.0</Value><Value for="TA73">2046.0</Value><Value for="TA74">759.0</Value><Value for="TA75">3234.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of children under 5 years" /><Property name="dc:description" value="Provides data on number of children in the usual resident population who were aged under five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, child, children, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /></Indicator><Indicator id="i2308" name="Number of children under 5 years" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2308&amp;id=12507&amp;norefer=true" ias:uid="12507" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Number of children under 5 years" precision="1"><Value for="TA1">3951.0</Value><Value for="TA10">NaN</Value><Value for="TA11">1293.0</Value><Value for="TA12">1149.0</Value><Value for="TA13">4713.0</Value><Value for="TA15">2235.0</Value><Value for="TA16">11091.0</Value><Value for="TA17">3102.0</Value><Value for="TA18">753.0</Value><Value for="TA19">1779.0</Value><Value for="TA2">5520.0</Value><Value for="TA20">699.0</Value><Value for="TA21">2370.0</Value><Value for="TA22">2616.0</Value><Value for="TA23">7866.0</Value><Value for="TA24">4956.0</Value><Value for="TA25">2379.0</Value><Value for="TA26">558.0</Value><Value for="TA27">582.0</Value><Value for="TA28">3471.0</Value><Value for="TA29">669.0</Value><Value for="TA3">1188.0</Value><Value for="TA30">5445.0</Value><Value for="TA31">3828.0</Value><Value for="TA32">921.0</Value><Value for="TA33">5106.0</Value><Value for="TA34">678.0</Value><Value for="TA35">2100.0</Value><Value for="TA36">1002.0</Value><Value for="TA37">2808.0</Value><Value for="TA38">1011.0</Value><Value for="TA39">1809.0</Value><Value for="TA4">NaN</Value><Value for="TA40">5586.0</Value><Value for="TA41">1233.0</Value><Value for="TA42">1821.0</Value><Value for="TA43">2856.0</Value><Value for="TA44">4431.0</Value><Value for="TA45">2718.0</Value><Value for="TA46">7236.0</Value><Value for="TA47">11493.0</Value><Value for="TA48">1449.0</Value><Value for="TA49">540.0</Value><Value for="TA5">NaN</Value><Value for="TA50">624.0</Value><Value for="TA51">2736.0</Value><Value for="TA52">2832.0</Value><Value for="TA53">2676.0</Value><Value for="TA54">210.0</Value><Value for="TA55">672.0</Value><Value for="TA56">933.0</Value><Value for="TA57">525.0</Value><Value for="TA58">744.0</Value><Value for="TA59">2925.0</Value><Value for="TA6">NaN</Value><Value for="TA60">20958.0</Value><Value for="TA62">3030.0</Value><Value for="TA63">2289.0</Value><Value for="TA64">2541.0</Value><Value for="TA65">276.0</Value><Value for="TA66">441.0</Value><Value for="TA67">36.0</Value><Value for="TA68">1218.0</Value><Value for="TA69">1050.0</Value><Value for="TA7">102357.0</Value><Value for="TA70">2040.0</Value><Value for="TA71">6360.0</Value><Value for="TA72">1113.0</Value><Value for="TA73">2160.0</Value><Value for="TA74">783.0</Value><Value for="TA75">3498.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of children under 5 years" /><Property name="dc:description" value="Provides data on number of children in the usual resident population who were aged under five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, child, children, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /></Indicator><Indicator id="i2309" name="Number of people 65 years and over" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2309&amp;id=12508&amp;norefer=true" ias:uid="12508" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Number of people 65 years and over" precision="1"><Value for="TA1">6828.0</Value><Value for="TA10">NaN</Value><Value for="TA11">5154.0</Value><Value for="TA12">2556.0</Value><Value for="TA13">4833.0</Value><Value for="TA15">4134.0</Value><Value for="TA16">11670.0</Value><Value for="TA17">5133.0</Value><Value for="TA18">885.0</Value><Value for="TA19">2289.0</Value><Value for="TA2">9564.0</Value><Value for="TA20">1032.0</Value><Value for="TA21">3843.0</Value><Value for="TA22">5457.0</Value><Value for="TA23">15681.0</Value><Value for="TA24">6822.0</Value><Value for="TA25">3744.0</Value><Value for="TA26">636.0</Value><Value for="TA27">1131.0</Value><Value for="TA28">5160.0</Value><Value for="TA29">1032.0</Value><Value for="TA3">2313.0</Value><Value for="TA30">8391.0</Value><Value for="TA31">8181.0</Value><Value for="TA32">1554.0</Value><Value for="TA33">9909.0</Value><Value for="TA34">1260.0</Value><Value for="TA35">3426.0</Value><Value for="TA36">1416.0</Value><Value for="TA37">6942.0</Value><Value for="TA38">1944.0</Value><Value for="TA39">3168.0</Value><Value for="TA4">NaN</Value><Value for="TA40">8253.0</Value><Value for="TA41">2328.0</Value><Value for="TA42">5517.0</Value><Value for="TA43">9444.0</Value><Value for="TA44">3240.0</Value><Value for="TA45">4326.0</Value><Value for="TA46">10032.0</Value><Value for="TA47">14097.0</Value><Value for="TA48">3501.0</Value><Value for="TA49">978.0</Value><Value for="TA5">NaN</Value><Value for="TA50">1284.0</Value><Value for="TA51">5406.0</Value><Value for="TA52">5955.0</Value><Value for="TA53">6129.0</Value><Value for="TA54">531.0</Value><Value for="TA55">1434.0</Value><Value for="TA56">1674.0</Value><Value for="TA57">960.0</Value><Value for="TA58">1314.0</Value><Value for="TA59">4500.0</Value><Value for="TA6">NaN</Value><Value for="TA60">44427.0</Value><Value for="TA62">2274.0</Value><Value for="TA63">4176.0</Value><Value for="TA64">7386.0</Value><Value for="TA65">444.0</Value><Value for="TA66">1251.0</Value><Value for="TA67">45.0</Value><Value for="TA68">3894.0</Value><Value for="TA69">2553.0</Value><Value for="TA7">115845.0</Value><Value for="TA70">1677.0</Value><Value for="TA71">15231.0</Value><Value for="TA72">2205.0</Value><Value for="TA73">3147.0</Value><Value for="TA74">1881.0</Value><Value for="TA75">6912.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of people 65 years and over" /><Property name="dc:description" value="Provides data on the number of people in the usual resident population who were aged over sixty five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /></Indicator><Indicator id="i2309" name="Number of people 65 years and over" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2309&amp;id=12509&amp;norefer=true" ias:uid="12509" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Number of people 65 years and over" precision="1"><Value for="TA1">7692.0</Value><Value for="TA10">NaN</Value><Value for="TA11">5502.0</Value><Value for="TA12">3051.0</Value><Value for="TA13">5580.0</Value><Value for="TA15">4764.0</Value><Value for="TA16">13137.0</Value><Value for="TA17">6045.0</Value><Value for="TA18">939.0</Value><Value for="TA19">2853.0</Value><Value for="TA2">11058.0</Value><Value for="TA20">1074.0</Value><Value for="TA21">4407.0</Value><Value for="TA22">6519.0</Value><Value for="TA23">18078.0</Value><Value for="TA24">7299.0</Value><Value for="TA25">4194.0</Value><Value for="TA26">861.0</Value><Value for="TA27">1248.0</Value><Value for="TA28">5331.0</Value><Value for="TA29">1026.0</Value><Value for="TA3">2709.0</Value><Value for="TA30">9102.0</Value><Value for="TA31">8634.0</Value><Value for="TA32">1722.0</Value><Value for="TA33">10593.0</Value><Value for="TA34">1344.0</Value><Value for="TA35">3495.0</Value><Value for="TA36">1428.0</Value><Value for="TA37">7356.0</Value><Value for="TA38">2115.0</Value><Value for="TA39">3480.0</Value><Value for="TA4">NaN</Value><Value for="TA40">8901.0</Value><Value for="TA41">2457.0</Value><Value for="TA42">5979.0</Value><Value for="TA43">10746.0</Value><Value for="TA44">3855.0</Value><Value for="TA45">4812.0</Value><Value for="TA46">10641.0</Value><Value for="TA47">15030.0</Value><Value for="TA48">3816.0</Value><Value for="TA49">1062.0</Value><Value for="TA5">NaN</Value><Value for="TA50">1449.0</Value><Value for="TA51">6069.0</Value><Value for="TA52">6228.0</Value><Value for="TA53">6879.0</Value><Value for="TA54">540.0</Value><Value for="TA55">1515.0</Value><Value for="TA56">1785.0</Value><Value for="TA57">1032.0</Value><Value for="TA58">1503.0</Value><Value for="TA59">5967.0</Value><Value for="TA6">NaN</Value><Value for="TA60">47196.0</Value><Value for="TA62">3018.0</Value><Value for="TA63">4467.0</Value><Value for="TA64">7848.0</Value><Value for="TA65">495.0</Value><Value for="TA66">1383.0</Value><Value for="TA67">48.0</Value><Value for="TA68">4050.0</Value><Value for="TA69">2898.0</Value><Value for="TA7">128544.0</Value><Value for="TA70">1965.0</Value><Value for="TA71">15855.0</Value><Value for="TA72">2259.0</Value><Value for="TA73">3294.0</Value><Value for="TA74">2034.0</Value><Value for="TA75">7323.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of people 65 years and over" /><Property name="dc:description" value="Provides data on the number of people in the usual resident population who were aged over sixty five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /></Indicator><Indicator id="i2309" name="Number of people 65 years and over" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2309&amp;id=12510&amp;norefer=true" ias:uid="12510" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Number of people 65 years and over" precision="1"><Value for="TA1">10047.0</Value><Value for="TA10">NaN</Value><Value for="TA11">7053.0</Value><Value for="TA12">3891.0</Value><Value for="TA13">7503.0</Value><Value for="TA15">5685.0</Value><Value for="TA16">16152.0</Value><Value for="TA17">7554.0</Value><Value for="TA18">1197.0</Value><Value for="TA19">3477.0</Value><Value for="TA2">13920.0</Value><Value for="TA20">1215.0</Value><Value for="TA21">5577.0</Value><Value for="TA22">8439.0</Value><Value for="TA23">22110.0</Value><Value for="TA24">8985.0</Value><Value for="TA25">5013.0</Value><Value for="TA26">1116.0</Value><Value for="TA27">1449.0</Value><Value for="TA28">6132.0</Value><Value for="TA29">1224.0</Value><Value for="TA3">3795.0</Value><Value for="TA30">11370.0</Value><Value for="TA31">10662.0</Value><Value for="TA32">2199.0</Value><Value for="TA33">12459.0</Value><Value for="TA34">1455.0</Value><Value for="TA35">3906.0</Value><Value for="TA36">1563.0</Value><Value for="TA37">8112.0</Value><Value for="TA38">2460.0</Value><Value for="TA39">4332.0</Value><Value for="TA4">NaN</Value><Value for="TA40">10611.0</Value><Value for="TA41">2871.0</Value><Value for="TA42">7152.0</Value><Value for="TA43">12423.0</Value><Value for="TA44">5334.0</Value><Value for="TA45">5835.0</Value><Value for="TA46">12600.0</Value><Value for="TA47">18216.0</Value><Value for="TA48">4452.0</Value><Value for="TA49">1542.0</Value><Value for="TA5">NaN</Value><Value for="TA50">1857.0</Value><Value for="TA51">8463.0</Value><Value for="TA52">8112.0</Value><Value for="TA53">8907.0</Value><Value for="TA54">693.0</Value><Value for="TA55">1752.0</Value><Value for="TA56">2142.0</Value><Value for="TA57">1287.0</Value><Value for="TA58">2028.0</Value><Value for="TA59">8379.0</Value><Value for="TA6">NaN</Value><Value for="TA60">51066.0</Value><Value for="TA62">4827.0</Value><Value for="TA63">5202.0</Value><Value for="TA64">9000.0</Value><Value for="TA65">660.0</Value><Value for="TA66">1680.0</Value><Value for="TA67">72.0</Value><Value for="TA68">4602.0</Value><Value for="TA69">3807.0</Value><Value for="TA7">163158.0</Value><Value for="TA70">3036.0</Value><Value for="TA71">17898.0</Value><Value for="TA72">2655.0</Value><Value for="TA73">4029.0</Value><Value for="TA74">2289.0</Value><Value for="TA75">8292.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of people 65 years and over" /><Property name="dc:description" value="Provides data on the number of people in the usual resident population who were aged over sixty five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /></Indicator><Indicator id="i2310" name="Number of people 85 years and over" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2310&amp;id=12511&amp;norefer=true" ias:uid="12511" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Number of people 85 years and over" precision="1"><Value for="TA1">546.0</Value><Value for="TA10">NaN</Value><Value for="TA11">483.0</Value><Value for="TA12">249.0</Value><Value for="TA13">420.0</Value><Value for="TA15">402.0</Value><Value for="TA16">1308.0</Value><Value for="TA17">642.0</Value><Value for="TA18">78.0</Value><Value for="TA19">129.0</Value><Value for="TA2">999.0</Value><Value for="TA20">90.0</Value><Value for="TA21">309.0</Value><Value for="TA22">471.0</Value><Value for="TA23">1617.0</Value><Value for="TA24">663.0</Value><Value for="TA25">285.0</Value><Value for="TA26">24.0</Value><Value for="TA27">90.0</Value><Value for="TA28">564.0</Value><Value for="TA29">81.0</Value><Value for="TA3">198.0</Value><Value for="TA30">966.0</Value><Value for="TA31">855.0</Value><Value for="TA32">171.0</Value><Value for="TA33">1167.0</Value><Value for="TA34">114.0</Value><Value for="TA35">372.0</Value><Value for="TA36">114.0</Value><Value for="TA37">825.0</Value><Value for="TA38">198.0</Value><Value for="TA39">330.0</Value><Value for="TA4">NaN</Value><Value for="TA40">1008.0</Value><Value for="TA41">273.0</Value><Value for="TA42">558.0</Value><Value for="TA43">1023.0</Value><Value for="TA44">240.0</Value><Value for="TA45">438.0</Value><Value for="TA46">1122.0</Value><Value for="TA47">1635.0</Value><Value for="TA48">369.0</Value><Value for="TA49">96.0</Value><Value for="TA5">NaN</Value><Value for="TA50">99.0</Value><Value for="TA51">528.0</Value><Value for="TA52">714.0</Value><Value for="TA53">615.0</Value><Value for="TA54">45.0</Value><Value for="TA55">117.0</Value><Value for="TA56">159.0</Value><Value for="TA57">84.0</Value><Value for="TA58">99.0</Value><Value for="TA59">372.0</Value><Value for="TA6">NaN</Value><Value for="TA60">5193.0</Value><Value for="TA62">156.0</Value><Value for="TA63">459.0</Value><Value for="TA64">825.0</Value><Value for="TA65">30.0</Value><Value for="TA66">150.0</Value><Value for="TA67">3.0</Value><Value for="TA68">444.0</Value><Value for="TA69">222.0</Value><Value for="TA7">13293.0</Value><Value for="TA70">150.0</Value><Value for="TA71">1878.0</Value><Value for="TA72">210.0</Value><Value for="TA73">225.0</Value><Value for="TA74">192.0</Value><Value for="TA75">810.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of people 85 years and over" /><Property name="dc:description" value="Provides data on number of people in the usual resident population who were aged over eighty five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /></Indicator><Indicator id="i2310" name="Number of people 85 years and over" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2310&amp;id=12512&amp;norefer=true" ias:uid="12512" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Number of people 85 years and over" precision="1"><Value for="TA1">654.0</Value><Value for="TA10">NaN</Value><Value for="TA11">564.0</Value><Value for="TA12">297.0</Value><Value for="TA13">531.0</Value><Value for="TA15">495.0</Value><Value for="TA16">1593.0</Value><Value for="TA17">741.0</Value><Value for="TA18">87.0</Value><Value for="TA19">195.0</Value><Value for="TA2">1152.0</Value><Value for="TA20">108.0</Value><Value for="TA21">396.0</Value><Value for="TA22">561.0</Value><Value for="TA23">2181.0</Value><Value for="TA24">744.0</Value><Value for="TA25">387.0</Value><Value for="TA26">48.0</Value><Value for="TA27">114.0</Value><Value for="TA28">582.0</Value><Value for="TA29">75.0</Value><Value for="TA3">234.0</Value><Value for="TA30">1125.0</Value><Value for="TA31">1005.0</Value><Value for="TA32">186.0</Value><Value for="TA33">1314.0</Value><Value for="TA34">135.0</Value><Value for="TA35">357.0</Value><Value for="TA36">129.0</Value><Value for="TA37">900.0</Value><Value for="TA38">207.0</Value><Value for="TA39">390.0</Value><Value for="TA4">NaN</Value><Value for="TA40">1101.0</Value><Value for="TA41">285.0</Value><Value for="TA42">645.0</Value><Value for="TA43">1329.0</Value><Value for="TA44">306.0</Value><Value for="TA45">549.0</Value><Value for="TA46">1188.0</Value><Value for="TA47">1773.0</Value><Value for="TA48">459.0</Value><Value for="TA49">117.0</Value><Value for="TA5">NaN</Value><Value for="TA50">129.0</Value><Value for="TA51">666.0</Value><Value for="TA52">828.0</Value><Value for="TA53">711.0</Value><Value for="TA54">42.0</Value><Value for="TA55">156.0</Value><Value for="TA56">183.0</Value><Value for="TA57">105.0</Value><Value for="TA58">120.0</Value><Value for="TA59">516.0</Value><Value for="TA6">NaN</Value><Value for="TA60">6246.0</Value><Value for="TA62">201.0</Value><Value for="TA63">507.0</Value><Value for="TA64">930.0</Value><Value for="TA65">42.0</Value><Value for="TA66">153.0</Value><Value for="TA67">0.0</Value><Value for="TA68">453.0</Value><Value for="TA69">276.0</Value><Value for="TA7">15288.0</Value><Value for="TA70">186.0</Value><Value for="TA71">2025.0</Value><Value for="TA72">210.0</Value><Value for="TA73">252.0</Value><Value for="TA74">261.0</Value><Value for="TA75">927.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of people 85 years and over" /><Property name="dc:description" value="Provides data on number of people in the usual resident population who were aged over eighty five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /></Indicator><Indicator id="i2310" name="Number of people 85 years and over" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=2310&amp;id=12513&amp;norefer=true" ias:uid="12513" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Number of people 85 years and over" precision="1"><Value for="TA1">861.0</Value><Value for="TA10">NaN</Value><Value for="TA11">738.0</Value><Value for="TA12">378.0</Value><Value for="TA13">750.0</Value><Value for="TA15">687.0</Value><Value for="TA16">2067.0</Value><Value for="TA17">870.0</Value><Value for="TA18">114.0</Value><Value for="TA19">270.0</Value><Value for="TA2">1710.0</Value><Value for="TA20">114.0</Value><Value for="TA21">513.0</Value><Value for="TA22">780.0</Value><Value for="TA23">3069.0</Value><Value for="TA24">1008.0</Value><Value for="TA25">513.0</Value><Value for="TA26">78.0</Value><Value for="TA27">129.0</Value><Value for="TA28">675.0</Value><Value for="TA29">114.0</Value><Value for="TA3">351.0</Value><Value for="TA30">1422.0</Value><Value for="TA31">1413.0</Value><Value for="TA32">192.0</Value><Value for="TA33">1749.0</Value><Value for="TA34">186.0</Value><Value for="TA35">432.0</Value><Value for="TA36">159.0</Value><Value for="TA37">1152.0</Value><Value for="TA38">225.0</Value><Value for="TA39">474.0</Value><Value for="TA4">NaN</Value><Value for="TA40">1491.0</Value><Value for="TA41">354.0</Value><Value for="TA42">834.0</Value><Value for="TA43">1836.0</Value><Value for="TA44">432.0</Value><Value for="TA45">753.0</Value><Value for="TA46">1434.0</Value><Value for="TA47">2142.0</Value><Value for="TA48">615.0</Value><Value for="TA49">141.0</Value><Value for="TA5">NaN</Value><Value for="TA50">174.0</Value><Value for="TA51">918.0</Value><Value for="TA52">1182.0</Value><Value for="TA53">1017.0</Value><Value for="TA54">72.0</Value><Value for="TA55">183.0</Value><Value for="TA56">219.0</Value><Value for="TA57">126.0</Value><Value for="TA58">189.0</Value><Value for="TA59">822.0</Value><Value for="TA6">NaN</Value><Value for="TA60">7302.0</Value><Value for="TA62">321.0</Value><Value for="TA63">654.0</Value><Value for="TA64">1206.0</Value><Value for="TA65">48.0</Value><Value for="TA66">195.0</Value><Value for="TA67">3.0</Value><Value for="TA68">585.0</Value><Value for="TA69">372.0</Value><Value for="TA7">19578.0</Value><Value for="TA70">246.0</Value><Value for="TA71">2556.0</Value><Value for="TA72">303.0</Value><Value for="TA73">306.0</Value><Value for="TA74">327.0</Value><Value for="TA75">1155.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Number of people 85 years and over" /><Property name="dc:description" value="Provides data on number of people in the usual resident population who were aged over eighty five years on census night of the year stated." /><Property name="dc:subject" value="vulnerable population" /><Property name="dc:subject.keyword" value="population, vulnerable, old, aging, elderly, census ,  demographic, demography, age" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="30th September 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="District Health Board" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /></Indicator></Theme><Indicator id="i1999" name="Usual Resident Population (Count)" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=1999&amp;id=11217&amp;norefer=true" ias:uid="11217" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Usual Resident Population (Count)" precision="1"><Value for="TA1">54576.0</Value><Value for="TA10">NaN</Value><Value for="TA11">25176.0</Value><Value for="TA12">17475.0</Value><Value for="TA13">51843.0</Value><Value for="TA15">29469.0</Value><Value for="TA16">116604.0</Value><Value for="TA17">38958.0</Value><Value for="TA18">9279.0</Value><Value for="TA19">23472.0</Value><Value for="TA2">68094.0</Value><Value for="TA20">9456.0</Value><Value for="TA21">31521.0</Value><Value for="TA22">37995.0</Value><Value for="TA23">91143.0</Value><Value for="TA24">64473.0</Value><Value for="TA25">32865.0</Value><Value for="TA26">6975.0</Value><Value for="TA27">9147.0</Value><Value for="TA28">43971.0</Value><Value for="TA29">8913.0</Value><Value for="TA3">17457.0</Value><Value for="TA30">67428.0</Value><Value for="TA31">53658.0</Value><Value for="TA32">12828.0</Value><Value for="TA33">66603.0</Value><Value for="TA34">8886.0</Value><Value for="TA35">27537.0</Value><Value for="TA36">14292.0</Value><Value for="TA37">43266.0</Value><Value for="TA38">15099.0</Value><Value for="TA39">25578.0</Value><Value for="TA4">NaN</Value><Value for="TA40">73965.0</Value><Value for="TA41">17859.0</Value><Value for="TA42">29823.0</Value><Value for="TA43">42447.0</Value><Value for="TA44">47370.0</Value><Value for="TA45">36372.0</Value><Value for="TA46">95490.0</Value><Value for="TA47">163824.0</Value><Value for="TA48">22617.0</Value><Value for="TA49">6849.0</Value><Value for="TA5">NaN</Value><Value for="TA50">8742.0</Value><Value for="TA51">41352.0</Value><Value for="TA52">41568.0</Value><Value for="TA53">39555.0</Value><Value for="TA54">3480.0</Value><Value for="TA55">9624.0</Value><Value for="TA56">12891.0</Value><Value for="TA57">7776.0</Value><Value for="TA58">9885.0</Value><Value for="TA59">36903.0</Value><Value for="TA6">NaN</Value><Value for="TA60">324081.0</Value><Value for="TA62">27291.0</Value><Value for="TA63">25443.0</Value><Value for="TA64">41964.0</Value><Value for="TA65">3717.0</Value><Value for="TA66">7101.0</Value><Value for="TA67">717.0</Value><Value for="TA68">20088.0</Value><Value for="TA69">14466.0</Value><Value for="TA7">1160271.0</Value><Value for="TA70">17040.0</Value><Value for="TA71">114342.0</Value><Value for="TA72">17172.0</Value><Value for="TA73">28713.0</Value><Value for="TA74">12459.0</Value><Value for="TA75">49830.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Census Population" /><Property name="dc:description" value="Provides data on usual resident population on census night of the year stated." /><Property name="dc:subject" value="population, population change" /><Property name="dc:subject.keyword" value="census , population, population change" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="20th March 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="dc:description" value="Gives the total number of people whose usual residence was the region stated on census night in the year stated." /></Indicator><Indicator id="i1999" name="Usual Resident Population (Count)" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=1999&amp;id=11218&amp;norefer=true" ias:uid="11218" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Usual Resident Population (Count)" precision="1"><Value for="TA1">55845.0</Value><Value for="TA10">NaN</Value><Value for="TA11">25938.0</Value><Value for="TA12">17856.0</Value><Value for="TA13">57585.0</Value><Value for="TA15">30483.0</Value><Value for="TA16">129588.0</Value><Value for="TA17">42501.0</Value><Value for="TA18">9078.0</Value><Value for="TA19">22644.0</Value><Value for="TA2">74463.0</Value><Value for="TA20">9438.0</Value><Value for="TA21">32418.0</Value><Value for="TA22">41826.0</Value><Value for="TA23">103881.0</Value><Value for="TA24">65898.0</Value><Value for="TA25">33300.0</Value><Value for="TA26">6924.0</Value><Value for="TA27">8976.0</Value><Value for="TA28">44463.0</Value><Value for="TA29">8484.0</Value><Value for="TA3">18135.0</Value><Value for="TA30">70839.0</Value><Value for="TA31">55359.0</Value><Value for="TA32">12957.0</Value><Value for="TA33">68901.0</Value><Value for="TA34">8892.0</Value><Value for="TA35">26484.0</Value><Value for="TA36">13572.0</Value><Value for="TA37">42636.0</Value><Value for="TA38">14712.0</Value><Value for="TA39">26067.0</Value><Value for="TA4">NaN</Value><Value for="TA40">77727.0</Value><Value for="TA41">17631.0</Value><Value for="TA42">29865.0</Value><Value for="TA43">46197.0</Value><Value for="TA44">48546.0</Value><Value for="TA45">38415.0</Value><Value for="TA46">97701.0</Value><Value for="TA47">179466.0</Value><Value for="TA48">22626.0</Value><Value for="TA49">7098.0</Value><Value for="TA5">NaN</Value><Value for="TA50">8892.0</Value><Value for="TA51">44625.0</Value><Value for="TA52">42888.0</Value><Value for="TA53">42549.0</Value><Value for="TA54">3621.0</Value><Value for="TA55">9702.0</Value><Value for="TA56">13224.0</Value><Value for="TA57">8403.0</Value><Value for="TA58">10476.0</Value><Value for="TA59">42834.0</Value><Value for="TA6">NaN</Value><Value for="TA60">348456.0</Value><Value for="TA62">33642.0</Value><Value for="TA63">27372.0</Value><Value for="TA64">42867.0</Value><Value for="TA65">3801.0</Value><Value for="TA66">7206.0</Value><Value for="TA67">609.0</Value><Value for="TA68">20223.0</Value><Value for="TA69">16647.0</Value><Value for="TA7">1304958.0</Value><Value for="TA70">22959.0</Value><Value for="TA71">118683.0</Value><Value for="TA72">16839.0</Value><Value for="TA73">28437.0</Value><Value for="TA74">12108.0</Value><Value for="TA75">50328.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Census Population" /><Property name="dc:description" value="Provides data on usual resident population on census night of the year stated." /><Property name="dc:subject" value="population, population change" /><Property name="dc:subject.keyword" value="census , population, population change" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="20th March 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="dc:description" value="Gives the total number of people whose usual residence was the region stated on census night in the year stated." /></Indicator><Indicator id="i1999" name="Usual Resident Population (Count)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=1999&amp;id=11219&amp;norefer=true" ias:uid="11219" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Usual Resident Population (Count)" precision="1"><Value for="TA1">55734.0</Value><Value for="TA10">NaN</Value><Value for="TA11">26178.0</Value><Value for="TA12">17811.0</Value><Value for="TA13">63378.0</Value><Value for="TA15">31536.0</Value><Value for="TA16">141615.0</Value><Value for="TA17">46668.0</Value><Value for="TA18">9141.0</Value><Value for="TA19">22071.0</Value><Value for="TA2">76995.0</Value><Value for="TA20">8907.0</Value><Value for="TA21">32907.0</Value><Value for="TA22">43692.0</Value><Value for="TA23">114789.0</Value><Value for="TA24">65280.0</Value><Value for="TA25">32691.0</Value><Value for="TA26">6363.0</Value><Value for="TA27">8436.0</Value><Value for="TA28">43653.0</Value><Value for="TA29">7890.0</Value><Value for="TA3">18963.0</Value><Value for="TA30">73245.0</Value><Value for="TA31">57240.0</Value><Value for="TA32">12720.0</Value><Value for="TA33">74187.0</Value><Value for="TA34">8988.0</Value><Value for="TA35">26577.0</Value><Value for="TA36">11844.0</Value><Value for="TA37">42150.0</Value><Value for="TA38">14019.0</Value><Value for="TA39">27459.0</Value><Value for="TA4">NaN</Value><Value for="TA40">80079.0</Value><Value for="TA41">16854.0</Value><Value for="TA42">30096.0</Value><Value for="TA43">49104.0</Value><Value for="TA44">51717.0</Value><Value for="TA45">40179.0</Value><Value for="TA46">98238.0</Value><Value for="TA47">190956.0</Value><Value for="TA48">23352.0</Value><Value for="TA49">8235.0</Value><Value for="TA5">NaN</Value><Value for="TA50">9528.0</Value><Value for="TA51">47154.0</Value><Value for="TA52">46437.0</Value><Value for="TA53">43416.0</Value><Value for="TA54">3555.0</Value><Value for="TA55">10473.0</Value><Value for="TA56">13371.0</Value><Value for="TA57">8304.0</Value><Value for="TA58">11529.0</Value><Value for="TA59">49989.0</Value><Value for="TA6">NaN</Value><Value for="TA60">341469.0</Value><Value for="TA62">44595.0</Value><Value for="TA63">31041.0</Value><Value for="TA64">43929.0</Value><Value for="TA65">4158.0</Value><Value for="TA66">7536.0</Value><Value for="TA67">600.0</Value><Value for="TA68">20826.0</Value><Value for="TA69">17895.0</Value><Value for="TA7">1415550.0</Value><Value for="TA70">28224.0</Value><Value for="TA71">120246.0</Value><Value for="TA72">16890.0</Value><Value for="TA73">29613.0</Value><Value for="TA74">12033.0</Value><Value for="TA75">51696.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Census Population" /><Property name="dc:description" value="Provides data on usual resident population on census night of the year stated." /><Property name="dc:subject" value="population, population change" /><Property name="dc:subject.keyword" value="census , population, population change" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="20th March 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="dc:description" value="Gives the total number of people whose usual residence was the region stated on census night in the year stated." /></Indicator><Indicator id="i2000" name="Population Change (Percentage)" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2000&amp;id=11220&amp;norefer=true" ias:uid="11220" ias:utime="2001-03-31 00:00:00+12:00" ias:full-name="Population Change (Percentage)" precision="1"><Value for="TA1">2.3</Value><Value for="TA10">NaN</Value><Value for="TA11">3.0</Value><Value for="TA12">2.2</Value><Value for="TA13">11.1</Value><Value for="TA15">3.4</Value><Value for="TA16">11.1</Value><Value for="TA17">9.1</Value><Value for="TA18">-2.2</Value><Value for="TA19">-3.5</Value><Value for="TA2">9.4</Value><Value for="TA20">-0.2</Value><Value for="TA21">2.8</Value><Value for="TA22">10.1</Value><Value for="TA23">14.0</Value><Value for="TA24">2.2</Value><Value for="TA25">1.3</Value><Value for="TA26">-0.7</Value><Value for="TA27">-1.9</Value><Value for="TA28">1.1</Value><Value for="TA29">-4.8</Value><Value for="TA3">3.9</Value><Value for="TA30">5.1</Value><Value for="TA31">3.2</Value><Value for="TA32">1.0</Value><Value for="TA33">3.5</Value><Value for="TA34">0.1</Value><Value for="TA35">-3.8</Value><Value for="TA36">-5.0</Value><Value for="TA37">-1.5</Value><Value for="TA38">-2.6</Value><Value for="TA39">1.9</Value><Value for="TA4">NaN</Value><Value for="TA40">5.1</Value><Value for="TA41">-1.3</Value><Value for="TA42">0.1</Value><Value for="TA43">8.8</Value><Value for="TA44">2.5</Value><Value for="TA45">5.6</Value><Value for="TA46">2.3</Value><Value for="TA47">9.5</Value><Value for="TA48">0.0</Value><Value for="TA49">3.6</Value><Value for="TA5">NaN</Value><Value for="TA50">1.7</Value><Value for="TA51">7.9</Value><Value for="TA52">3.2</Value><Value for="TA53">7.6</Value><Value for="TA54">4.1</Value><Value for="TA55">0.8</Value><Value for="TA56">2.6</Value><Value for="TA57">8.1</Value><Value for="TA58">6.0</Value><Value for="TA59">16.1</Value><Value for="TA6">NaN</Value><Value for="TA60">7.5</Value><Value for="TA62">23.3</Value><Value for="TA63">7.6</Value><Value for="TA64">2.2</Value><Value for="TA65">2.3</Value><Value for="TA66">1.5</Value><Value for="TA67">-15.1</Value><Value for="TA68">0.7</Value><Value for="TA69">15.1</Value><Value for="TA7">12.5</Value><Value for="TA70">34.7</Value><Value for="TA71">3.8</Value><Value for="TA72">-1.9</Value><Value for="TA73">-1.0</Value><Value for="TA74">-2.8</Value><Value for="TA75">1.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">7.8</ComparisonValue><Property name="dc:title" value="Census Population" /><Property name="dc:description" value="Provides data on usual resident population on census night of the year stated." /><Property name="dc:subject" value="population, population change" /><Property name="dc:subject.keyword" value="census , population, population change" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="20th March 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="dc:description" value="Gives the change in total number of people whose usual residence was New Zealand on census night between two census. Note: This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between this census and the last one is seven years. The change in the data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends." /><Property name="dc:measure" value="percentage" /><Property name="dc:numerator" value="Difference between most current and previous census population (eg 2013 population - 2006 population)" /><Property name="dc:denominator" value="Previous cenesus population (eg: in the above example this would be the 2006 population)" /></Indicator><Indicator id="i2000" name="Population Change (Percentage)" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2000&amp;id=11221&amp;norefer=true" ias:uid="11221" ias:utime="2006-03-31 00:00:00+12:00" ias:full-name="Population Change (Percentage)" precision="1"><Value for="TA1">-0.2</Value><Value for="TA10">NaN</Value><Value for="TA11">0.9</Value><Value for="TA12">-0.3</Value><Value for="TA13">10.1</Value><Value for="TA15">3.5</Value><Value for="TA16">9.3</Value><Value for="TA17">9.8</Value><Value for="TA18">0.7</Value><Value for="TA19">-2.5</Value><Value for="TA2">3.4</Value><Value for="TA20">-5.6</Value><Value for="TA21">1.5</Value><Value for="TA22">4.5</Value><Value for="TA23">10.5</Value><Value for="TA24">-0.9</Value><Value for="TA25">-1.8</Value><Value for="TA26">-8.1</Value><Value for="TA27">-6.0</Value><Value for="TA28">-1.8</Value><Value for="TA29">-7.0</Value><Value for="TA3">4.6</Value><Value for="TA30">3.4</Value><Value for="TA31">3.4</Value><Value for="TA32">-1.8</Value><Value for="TA33">7.7</Value><Value for="TA34">1.1</Value><Value for="TA35">0.4</Value><Value for="TA36">-12.7</Value><Value for="TA37">-1.1</Value><Value for="TA38">-4.7</Value><Value for="TA39">5.3</Value><Value for="TA4">NaN</Value><Value for="TA40">3.0</Value><Value for="TA41">-4.4</Value><Value for="TA42">0.8</Value><Value for="TA43">6.3</Value><Value for="TA44">6.5</Value><Value for="TA45">4.6</Value><Value for="TA46">0.5</Value><Value for="TA47">6.4</Value><Value for="TA48">3.2</Value><Value for="TA49">16.0</Value><Value for="TA5">NaN</Value><Value for="TA50">7.2</Value><Value for="TA51">5.7</Value><Value for="TA52">8.3</Value><Value for="TA53">2.0</Value><Value for="TA54">-1.8</Value><Value for="TA55">7.9</Value><Value for="TA56">1.1</Value><Value for="TA57">-1.2</Value><Value for="TA58">10.1</Value><Value for="TA59">16.7</Value><Value for="TA6">NaN</Value><Value for="TA60">-2.0</Value><Value for="TA62">32.6</Value><Value for="TA63">13.4</Value><Value for="TA64">2.5</Value><Value for="TA65">9.4</Value><Value for="TA66">4.6</Value><Value for="TA67">-1.5</Value><Value for="TA68">3.0</Value><Value for="TA69">7.5</Value><Value for="TA7">8.5</Value><Value for="TA70">22.9</Value><Value for="TA71">1.3</Value><Value for="TA72">0.3</Value><Value for="TA73">4.1</Value><Value for="TA74">-0.6</Value><Value for="TA75">2.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.3</ComparisonValue><Property name="dc:title" value="Census Population" /><Property name="dc:description" value="Provides data on usual resident population on census night of the year stated." /><Property name="dc:subject" value="population, population change" /><Property name="dc:subject.keyword" value="census , population, population change" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="20th March 2014" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Quinquennial (although the most recent census was delayed for two years, making the gap between the most recent census (2013) and the previous one (2006) seven years," /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand" /><Property name="dc:description" value="Gives the change in total number of people whose usual residence was New Zealand on census night between two census. Note: This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between this census and the last one is seven years. The change in the data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends." /><Property name="dc:measure" value="percentage" /><Property name="dc:numerator" value="Difference between most current and previous census population (eg 2013 population - 2006 population)" /><Property name="dc:denominator" value="Previous cenesus population (eg: in the above example this would be the 2006 population)" /></Indicator><Indicator id="i2117" name="Population Density per km²" type="numeric" date="1996-2000" href="/metadata/view/indicatorinstance?pid=2117&amp;id=11559&amp;norefer=true" ias:uid="11559" ias:utime="1996-03-06 00:00:00+13:00" ias:full-name="Population Density per km²" precision="1"><Value for="TA1">7.9</Value><Value for="TA10">NaN</Value><Value for="TA11">11.2</Value><Value for="TA12">14.6</Value><Value for="TA13">12.7</Value><Value for="TA15">16.9</Value><Value for="TA16">1113.5</Value><Value for="TA17">25.5</Value><Value for="TA18">4.8</Value><Value for="TA19">13.8</Value><Value for="TA2">24.6</Value><Value for="TA20">2.8</Value><Value for="TA21">4.9</Value><Value for="TA22">17.9</Value><Value for="TA23">604.2</Value><Value for="TA24">26.8</Value><Value for="TA25">7.5</Value><Value for="TA26">356.1</Value><Value for="TA27">3.0</Value><Value for="TA28">5.5</Value><Value for="TA29">2.4</Value><Value for="TA3">5.6</Value><Value for="TA30">12.7</Value><Value for="TA31">505.3</Value><Value for="TA32">3.9</Value><Value for="TA33">30.9</Value><Value for="TA34">4.4</Value><Value for="TA35">8.2</Value><Value for="TA36">2.5</Value><Value for="TA37">19.0</Value><Value for="TA38">3.7</Value><Value for="TA39">10.7</Value><Value for="TA4">NaN</Value><Value for="TA40">217.7</Value><Value for="TA41">4.4</Value><Value for="TA42">28.3</Value><Value for="TA43">52.8</Value><Value for="TA44">266.8</Value><Value for="TA45">68.0</Value><Value for="TA46">254.7</Value><Value for="TA47">543.7</Value><Value for="TA48">9.9</Value><Value for="TA49">5.8</Value><Value for="TA5">NaN</Value><Value for="TA50">3.7</Value><Value for="TA51">4.0</Value><Value for="TA52">95.1</Value><Value for="TA53">3.7</Value><Value for="TA54">1.7</Value><Value for="TA55">1.3</Value><Value for="TA56">3.9</Value><Value for="TA57">0.7</Value><Value for="TA58">1.1</Value><Value for="TA59">14.6</Value><Value for="TA6">NaN</Value><Value for="TA60">223.4</Value><Value for="TA62">3.9</Value><Value for="TA63">4.1</Value><Value for="TA64">15.6</Value><Value for="TA65">0.6</Value><Value for="TA66">2.1</Value><Value for="TA67">0.9</Value><Value for="TA68">3.0</Value><Value for="TA69">1.5</Value><Value for="TA7">170.8</Value><Value for="TA70">1.6</Value><Value for="TA71">36.0</Value><Value for="TA72">2.8</Value><Value for="TA73">1.0</Value><Value for="TA74">10.6</Value><Value for="TA75">134.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Population Density" /><Property name="dc:description" value="New Zealand population density basecd on  usual residence population from the 2001 and 2006 and 2013 National Census and 2013 territorial authority area." /><Property name="dc:subject" value="population size" /><Property name="dc:subject.keyword" value="population" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/10/2006" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Quinquenniel" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="1996,2001, 2006, 2013 Census of Population and Dwellings: &lt;a href=&quot;http://www.stats.govt.nz/census.aspx&quot;&gt;" /><Property name="numerator" value="Total population living within the TA specified" /><Property name="denominator" value="Total area (in square kilometres) of the TA specified" /></Indicator><Indicator id="i2117" name="Population Density per km²" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=2117&amp;id=11560&amp;norefer=true" ias:uid="11560" ias:utime="2001-03-06 00:00:00+13:00" ias:full-name="Population Density per km²" precision="1"><Value for="TA1">8.2</Value><Value for="TA10">NaN</Value><Value for="TA11">11.4</Value><Value for="TA12">14.7</Value><Value for="TA13">16.8</Value><Value for="TA15">16.8</Value><Value for="TA16">1182.7</Value><Value for="TA17">26.5</Value><Value for="TA18">4.6</Value><Value for="TA19">12.9</Value><Value for="TA2">25.1</Value><Value for="TA20">2.7</Value><Value for="TA21">5.0</Value><Value for="TA22">19.4</Value><Value for="TA23">708.0</Value><Value for="TA24">26.8</Value><Value for="TA25">7.4</Value><Value for="TA26">317.2</Value><Value for="TA27">3.0</Value><Value for="TA28">5.2</Value><Value for="TA29">2.2</Value><Value for="TA3">5.6</Value><Value for="TA30">12.9</Value><Value for="TA31">507.1</Value><Value for="TA32">3.9</Value><Value for="TA33">30.2</Value><Value for="TA34">4.1</Value><Value for="TA35">7.7</Value><Value for="TA36">2.1</Value><Value for="TA37">18.2</Value><Value for="TA38">3.4</Value><Value for="TA39">9.7</Value><Value for="TA4">NaN</Value><Value for="TA40">220.3</Value><Value for="TA41">4.1</Value><Value for="TA42">28.0</Value><Value for="TA43">58.0</Value><Value for="TA44">271.1</Value><Value for="TA45">67.4</Value><Value for="TA46">253.7</Value><Value for="TA47">564.7</Value><Value for="TA48">9.8</Value><Value for="TA49">5.8</Value><Value for="TA5">NaN</Value><Value for="TA50">3.7</Value><Value for="TA51">4.3</Value><Value for="TA52">98.2</Value><Value for="TA53">3.8</Value><Value for="TA54">1.7</Value><Value for="TA55">1.2</Value><Value for="TA56">3.7</Value><Value for="TA57">0.7</Value><Value for="TA58">1.1</Value><Value for="TA59">16.6</Value><Value for="TA6">NaN</Value><Value 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value="Statistics New Zealand" /><Property name="dc:date.available" value="1/10/2006" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Quinquenniel" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="1996,2001, 2006, 2013 Census of Population and Dwellings: &lt;a href=&quot;http://www.stats.govt.nz/census.aspx&quot;&gt;" /><Property name="numerator" value="Total population living within the TA specified" /><Property name="denominator" value="Total area (in square kilometres) of the TA specified" /></Indicator><Indicator id="i2117" name="Population Density per km²" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=2117&amp;id=11561&amp;norefer=true" ias:uid="11561" ias:utime="2006-03-07 00:00:00+13:00" ias:full-name="Population Density per km²" 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/><Property name="dc:description" value="New Zealand population density basecd on  usual residence population from the 2001 and 2006 and 2013 National Census and 2013 territorial authority area." /><Property name="dc:subject" value="population size" /><Property name="dc:subject.keyword" value="population" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/10/2006" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Quinquenniel" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="1996,2001, 2006, 2013 Census of Population and Dwellings: &lt;a href=&quot;http://www.stats.govt.nz/census.aspx&quot;&gt;" /><Property name="numerator" value="Total population living within the TA specified" /><Property name="denominator" value="Total 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/><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. 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Individuals with ARF are often severely unwell, in great pain and require hospitalisation." /></Indicator><Indicator id="i1403" name="Rheumatic Fever incidence: CR per 100,000" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=1403&amp;id=12556&amp;norefer=true" ias:uid="12556" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Rheumatic Fever incidence: CR per 100,000" precision="1"><Value for="TA1">16.2</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">NaN</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">13.0</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">5.2</Value><Value for="TA24">12.3</Value><Value for="TA25">18.4</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">18.3</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">11.6</Value><Value for="TA45">NaN</Value><Value for="TA46">10.2</Value><Value for="TA47">NaN</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">2.3</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">23.5</Value><Value for="TA70">NaN</Value><Value for="TA71">NaN</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">NaN</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.6</ComparisonValue><Property name="dc:title" value="Notifiable Diseases" /><Property name="dc:subject" value="Notifiable Diseases" /><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. It illustrates the actual burden within a population and can be used to compare groups with the same age distribution. " /><Property name="dc:numerator" value="Number of  notifications of the specified disease per annum (ESR)" /><Property name="dc:denominator" value="Linear interpolation of the New Zealand population between census years, using optimal polynomial spine smoothed census population 1991-2006, adjusted for age-region-gender-ethnic under-count in 1996, 2001and 2006 censuses. From 2007 onwards the 2006 census results are used in isolation. Caution should therefore be taken when comparing data post 2007 with earlier years. From 2014 onwards population  data from the 2013 census has been used" /><Property name="dc:description" value="Acute rheumatic fever (ARF) is an autoimmune consequence of throat infection with the bacterium group A Streptococcus (GAS), that is, Streptococcus pyogenes. It causes an acute generalised inflammatory response and an illness that affects only certain parts of the body, mainly the heart, joints, brain and skin. Individuals with ARF are often severely unwell, in great pain and require hospitalisation." /></Indicator></Theme><Theme id="7d018b94-3f79-44d5-8b37-31ef59ea7586" ias:uid="1140" name="No heating fuel source" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i1383" name="No Heating Fuel Source (%)" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=1383&amp;id=12493&amp;norefer=true" ias:uid="12493" ias:utime="2001-03-06 00:00:00+13:00" ias:full-name="No Heating Fuel Source (%)" precision="1"><Value for="TA1">5.4</Value><Value for="TA10">NaN</Value><Value for="TA11">3.2</Value><Value for="TA12">2.1</Value><Value for="TA13">2.5</Value><Value for="TA15">1.5</Value><Value for="TA16">3.3</Value><Value for="TA17">1.5</Value><Value for="TA18">1.9</Value><Value for="TA19">1.2</Value><Value for="TA2">4.3</Value><Value for="TA20">1.5</Value><Value for="TA21">1.1</Value><Value for="TA22">2.5</Value><Value for="TA23">3.6</Value><Value for="TA24">1.8</Value><Value for="TA25">2.3</Value><Value for="TA26">1.5</Value><Value for="TA27">3.7</Value><Value for="TA28">1.9</Value><Value for="TA29">1.3</Value><Value for="TA3">3.7</Value><Value for="TA30">1.5</Value><Value for="TA31">1.6</Value><Value for="TA32">0.8</Value><Value for="TA33">1.9</Value><Value for="TA34">0.7</Value><Value for="TA35">1.3</Value><Value for="TA36">0.7</Value><Value for="TA37">1.6</Value><Value for="TA38">0.8</Value><Value for="TA39">1.6</Value><Value for="TA4">NaN</Value><Value for="TA40">1.9</Value><Value for="TA41">0.7</Value><Value for="TA42">1.4</Value><Value for="TA43">1.1</Value><Value for="TA44">2.8</Value><Value for="TA45">1.4</Value><Value for="TA46">1.6</Value><Value for="TA47">2.4</Value><Value for="TA48">0.9</Value><Value for="TA49">0.7</Value><Value for="TA5">NaN</Value><Value for="TA50">0.5</Value><Value for="TA51">1.5</Value><Value for="TA52">2.0</Value><Value for="TA53">1.1</Value><Value for="TA54">0.9</Value><Value for="TA55">1.1</Value><Value for="TA56">0.9</Value><Value for="TA57">1.2</Value><Value for="TA58">0.5</Value><Value for="TA59">0.6</Value><Value for="TA6">NaN</Value><Value for="TA60">1.2</Value><Value for="TA62">0.6</Value><Value for="TA63">0.5</Value><Value for="TA64">0.5</Value><Value for="TA65">0.4</Value><Value for="TA66">0.3</Value><Value for="TA67">3.6</Value><Value for="TA68">0.5</Value><Value for="TA69">0.5</Value><Value for="TA7">4.8</Value><Value for="TA70">1.1</Value><Value for="TA71">0.9</Value><Value for="TA72">0.3</Value><Value for="TA73">0.7</Value><Value for="TA74">0.4</Value><Value for="TA75">0.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator><Indicator id="i1383" name="No Heating Fuel Source (%)" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=1383&amp;id=12494&amp;norefer=true" ias:uid="12494" ias:utime="2006-03-07 00:00:00+13:00" ias:full-name="No Heating Fuel Source (%)" precision="1"><Value for="TA1">4.9</Value><Value for="TA10">NaN</Value><Value for="TA11">2.5</Value><Value for="TA12">1.7</Value><Value for="TA13">1.9</Value><Value for="TA15">1.1</Value><Value for="TA16">2.2</Value><Value for="TA17">1.1</Value><Value for="TA18">1.4</Value><Value for="TA19">0.9</Value><Value for="TA2">3.6</Value><Value for="TA20">1.2</Value><Value for="TA21">0.9</Value><Value for="TA22">2.0</Value><Value for="TA23">2.7</Value><Value for="TA24">1.3</Value><Value for="TA25">1.7</Value><Value for="TA26">1.5</Value><Value for="TA27">3.5</Value><Value for="TA28">1.7</Value><Value for="TA29">1.3</Value><Value for="TA3">3.6</Value><Value for="TA30">1.3</Value><Value for="TA31">1.2</Value><Value for="TA32">0.9</Value><Value for="TA33">1.6</Value><Value for="TA34">0.7</Value><Value for="TA35">1.2</Value><Value for="TA36">0.4</Value><Value for="TA37">1.4</Value><Value for="TA38">0.8</Value><Value for="TA39">0.9</Value><Value for="TA4">NaN</Value><Value for="TA40">1.7</Value><Value for="TA41">0.8</Value><Value for="TA42">1.1</Value><Value for="TA43">1.0</Value><Value for="TA44">2.3</Value><Value for="TA45">1.0</Value><Value for="TA46">1.4</Value><Value for="TA47">2.2</Value><Value for="TA48">0.6</Value><Value for="TA49">0.4</Value><Value for="TA5">NaN</Value><Value for="TA50">0.4</Value><Value for="TA51">1.2</Value><Value for="TA52">1.5</Value><Value for="TA53">0.9</Value><Value for="TA54">0.4</Value><Value for="TA55">1.1</Value><Value for="TA56">0.7</Value><Value for="TA57">0.5</Value><Value for="TA58">0.3</Value><Value for="TA59">0.3</Value><Value for="TA6">NaN</Value><Value for="TA60">0.8</Value><Value for="TA62">0.3</Value><Value for="TA63">0.3</Value><Value for="TA64">0.3</Value><Value for="TA65">0.4</Value><Value for="TA66">0.3</Value><Value for="TA67">2.4</Value><Value for="TA68">0.4</Value><Value for="TA69">0.5</Value><Value for="TA7">4.2</Value><Value for="TA70">0.7</Value><Value for="TA71">0.7</Value><Value for="TA72">0.3</Value><Value for="TA73">0.3</Value><Value for="TA74">0.3</Value><Value for="TA75">0.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator><Indicator id="i1383" name="No Heating Fuel Source (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=1383&amp;id=12495&amp;norefer=true" ias:uid="12495" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="No Heating Fuel Source (%)" precision="1"><Value for="TA1">5.9</Value><Value for="TA10">NaN</Value><Value for="TA11">3.2</Value><Value for="TA12">2.4</Value><Value for="TA13">2.6</Value><Value for="TA15">1.7</Value><Value for="TA16">3.2</Value><Value for="TA17">1.4</Value><Value for="TA18">1.5</Value><Value for="TA19">1.4</Value><Value for="TA2">4.1</Value><Value for="TA20">1.5</Value><Value for="TA21">1.0</Value><Value for="TA22">2.8</Value><Value for="TA23">3.4</Value><Value for="TA24">1.7</Value><Value for="TA25">2.0</Value><Value for="TA26">1.9</Value><Value for="TA27">3.5</Value><Value for="TA28">2.0</Value><Value for="TA29">2.0</Value><Value for="TA3">5.0</Value><Value for="TA30">1.7</Value><Value for="TA31">1.6</Value><Value for="TA32">0.7</Value><Value for="TA33">1.9</Value><Value for="TA34">0.9</Value><Value for="TA35">1.6</Value><Value for="TA36">0.8</Value><Value for="TA37">1.8</Value><Value for="TA38">0.9</Value><Value for="TA39">1.1</Value><Value for="TA4">NaN</Value><Value for="TA40">1.7</Value><Value for="TA41">1.0</Value><Value for="TA42">1.5</Value><Value for="TA43">1.1</Value><Value for="TA44">2.4</Value><Value for="TA45">1.2</Value><Value for="TA46">1.6</Value><Value for="TA47">3.1</Value><Value for="TA48">0.7</Value><Value for="TA49">0.5</Value><Value for="TA5">NaN</Value><Value for="TA50">0.5</Value><Value for="TA51">0.9</Value><Value for="TA52">1.3</Value><Value for="TA53">0.8</Value><Value for="TA54">0.4</Value><Value for="TA55">1.1</Value><Value for="TA56">0.6</Value><Value for="TA57">1.7</Value><Value for="TA58">0.4</Value><Value for="TA59">0.3</Value><Value for="TA6">NaN</Value><Value for="TA60">0.7</Value><Value for="TA62">0.3</Value><Value for="TA63">0.4</Value><Value for="TA64">0.4</Value><Value for="TA65">0.5</Value><Value for="TA66">0.5</Value><Value for="TA67">1.2</Value><Value for="TA68">0.5</Value><Value for="TA69">0.4</Value><Value for="TA7">5.5</Value><Value for="TA70">0.7</Value><Value for="TA71">0.8</Value><Value for="TA72">0.3</Value><Value for="TA73">0.6</Value><Value for="TA74">0.2</Value><Value for="TA75">0.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator></Theme><Theme id="OvecrowdedHouseholdsPrivateOccupiedDwellings" ias:uid="641" name="Household Crowding" xmlns:ias="http://server.instantatlas.com/metadata"><Theme id="PeoplelivinginOvercrowdedHouseholds-Oneormorebedroomsneeded(CNOS)" ias:uid="1151" name="People living in crowded households - one or more bedrooms needed (CNOS)" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2324" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2324&amp;id=13105&amp;norefer=true" ias:uid="13105" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % total stated population" precision="1"><Value for="TA1">13.1</Value><Value for="TA10">NaN</Value><Value for="TA11">5.0</Value><Value for="TA12">5.8</Value><Value for="TA13">8.3</Value><Value for="TA15">6.4</Value><Value for="TA16">10.5</Value><Value for="TA17">4.3</Value><Value for="TA18">6.7</Value><Value for="TA19">10.6</Value><Value for="TA2">7.9</Value><Value for="TA20">12.0</Value><Value for="TA21">7.4</Value><Value for="TA22">7.9</Value><Value for="TA23">6.5</Value><Value for="TA24">11.0</Value><Value for="TA25">12.3</Value><Value for="TA26">16.0</Value><Value for="TA27">15.5</Value><Value for="TA28">13.9</Value><Value for="TA29">14.1</Value><Value for="TA3">6.3</Value><Value for="TA30">10.8</Value><Value for="TA31">7.3</Value><Value for="TA32">4.4</Value><Value for="TA33">5.0</Value><Value for="TA34">3.7</Value><Value for="TA35">5.7</Value><Value for="TA36">10.3</Value><Value for="TA37">6.7</Value><Value for="TA38">6.6</Value><Value for="TA39">4.3</Value><Value for="TA4">NaN</Value><Value for="TA40">6.5</Value><Value for="TA41">4.3</Value><Value for="TA42">7.7</Value><Value for="TA43">4.1</Value><Value for="TA44">14.9</Value><Value for="TA45">6.0</Value><Value for="TA46">10.7</Value><Value for="TA47">7.2</Value><Value for="TA48">5.7</Value><Value for="TA49">2.7</Value><Value for="TA5">NaN</Value><Value for="TA50">3.3</Value><Value for="TA51">3.8</Value><Value for="TA52">4.9</Value><Value for="TA53">4.4</Value><Value for="TA54">3.9</Value><Value for="TA55">3.7</Value><Value for="TA56">3.1</Value><Value for="TA57">3.0</Value><Value for="TA58">3.0</Value><Value for="TA59">3.9</Value><Value for="TA6">NaN</Value><Value for="TA60">6.8</Value><Value for="TA62">2.6</Value><Value for="TA63">4.9</Value><Value for="TA64">3.3</Value><Value for="TA65">2.6</Value><Value for="TA66">2.4</Value><Value for="TA67">3.5</Value><Value for="TA68">3.7</Value><Value for="TA69">2.1</Value><Value for="TA7">14.8</Value><Value for="TA70">4.7</Value><Value for="TA71">4.1</Value><Value for="TA72">2.5</Value><Value for="TA73">2.8</Value><Value for="TA74">3.0</Value><Value for="TA75">4.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">9.3</ComparisonValue><Property name="dc:title" value="People living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require one or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Total number of people who answered the relevant questions used to calculate this data" /></Indicator><Indicator id="i2318" name="Asian" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2318&amp;id=13099&amp;norefer=true" ias:uid="13099" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Asian population" precision="1"><Value for="TA1">12.5</Value><Value for="TA10">NaN</Value><Value for="TA11">22.2</Value><Value for="TA12">8.0</Value><Value for="TA13">8.0</Value><Value for="TA15">15.0</Value><Value for="TA16">16.9</Value><Value for="TA17">15.3</Value><Value for="TA18">8.8</Value><Value for="TA19">13.0</Value><Value for="TA2">14.8</Value><Value for="TA20">13.7</Value><Value for="TA21">13.9</Value><Value for="TA22">33.5</Value><Value for="TA23">23.3</Value><Value for="TA24">19.4</Value><Value for="TA25">17.7</Value><Value for="TA26">2.7</Value><Value for="TA27">7.2</Value><Value for="TA28">13.2</Value><Value for="TA29">0.0</Value><Value for="TA3">10.6</Value><Value for="TA30">26.7</Value><Value for="TA31">14.1</Value><Value for="TA32">5.2</Value><Value for="TA33">14.1</Value><Value for="TA34">9.9</Value><Value for="TA35">8.5</Value><Value for="TA36">4.1</Value><Value for="TA37">10.1</Value><Value for="TA38">5.5</Value><Value for="TA39">16.8</Value><Value for="TA4">NaN</Value><Value for="TA40">13.9</Value><Value for="TA41">4.4</Value><Value for="TA42">6.8</Value><Value for="TA43">10.6</Value><Value for="TA44">14.3</Value><Value for="TA45">14.9</Value><Value for="TA46">15.7</Value><Value for="TA47">15.2</Value><Value for="TA48">9.8</Value><Value for="TA49">3.2</Value><Value for="TA5">NaN</Value><Value for="TA50">3.3</Value><Value for="TA51">11.7</Value><Value for="TA52">20.5</Value><Value for="TA53">12.5</Value><Value for="TA54">0.0</Value><Value for="TA55">7.9</Value><Value for="TA56">8.6</Value><Value for="TA57">4.2</Value><Value for="TA58">3.4</Value><Value for="TA59">10.0</Value><Value for="TA6">NaN</Value><Value for="TA60">16.8</Value><Value for="TA62">9.4</Value><Value for="TA63">14.8</Value><Value for="TA64">11.9</Value><Value for="TA65">8.7</Value><Value for="TA66">9.5</Value><Value for="TA67">0.0</Value><Value for="TA68">5.7</Value><Value for="TA69">1.9</Value><Value for="TA7">19.5</Value><Value for="TA70">18.0</Value><Value for="TA71">12.1</Value><Value for="TA72">4.8</Value><Value for="TA73">5.5</Value><Value for="TA74">0.0</Value><Value for="TA75">11.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">18.3</ComparisonValue><Property name="dc:title" value="People living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require one or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2319" name="European" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2319&amp;id=13100&amp;norefer=true" ias:uid="13100" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % European population" precision="1"><Value for="TA1">6.9</Value><Value for="TA10">NaN</Value><Value for="TA11">3.8</Value><Value for="TA12">3.7</Value><Value for="TA13">4.6</Value><Value for="TA15">3.9</Value><Value for="TA16">4.9</Value><Value for="TA17">2.6</Value><Value for="TA18">3.9</Value><Value for="TA19">5.2</Value><Value for="TA2">4.5</Value><Value for="TA20">5.5</Value><Value for="TA21">3.5</Value><Value for="TA22">3.4</Value><Value for="TA23">3.3</Value><Value for="TA24">5.1</Value><Value for="TA25">4.6</Value><Value for="TA26">8.1</Value><Value for="TA27">7.2</Value><Value for="TA28">6.3</Value><Value for="TA29">7.2</Value><Value for="TA3">3.8</Value><Value for="TA30">4.7</Value><Value for="TA31">4.2</Value><Value for="TA32">2.6</Value><Value for="TA33">3.3</Value><Value for="TA34">3.0</Value><Value for="TA35">3.9</Value><Value for="TA36">5.7</Value><Value for="TA37">4.3</Value><Value for="TA38">3.6</Value><Value for="TA39">3.0</Value><Value for="TA4">NaN</Value><Value for="TA40">3.9</Value><Value for="TA41">2.7</Value><Value for="TA42">4.9</Value><Value for="TA43">3.0</Value><Value for="TA44">5.9</Value><Value for="TA45">3.8</Value><Value for="TA46">5.2</Value><Value for="TA47">3.9</Value><Value for="TA48">3.9</Value><Value for="TA49">1.8</Value><Value for="TA5">NaN</Value><Value for="TA50">2.8</Value><Value for="TA51">3.2</Value><Value for="TA52">3.4</Value><Value for="TA53">2.9</Value><Value for="TA54">3.7</Value><Value for="TA55">3.4</Value><Value for="TA56">2.6</Value><Value for="TA57">2.7</Value><Value for="TA58">2.8</Value><Value for="TA59">3.3</Value><Value for="TA6">NaN</Value><Value for="TA60">4.5</Value><Value for="TA62">2.2</Value><Value for="TA63">2.8</Value><Value for="TA64">2.8</Value><Value for="TA65">1.1</Value><Value for="TA66">1.7</Value><Value for="TA67">4.1</Value><Value for="TA68">2.3</Value><Value for="TA69">1.7</Value><Value for="TA7">5.2</Value><Value for="TA70">3.3</Value><Value for="TA71">3.2</Value><Value for="TA72">1.9</Value><Value for="TA73">2.3</Value><Value for="TA74">2.0</Value><Value for="TA75">3.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.3</ComparisonValue><Property name="dc:title" value="People living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require one or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2320" name="Maori" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2320&amp;id=13101&amp;norefer=true" ias:uid="13101" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Maori population" precision="1"><Value for="TA1">24.3</Value><Value for="TA10">NaN</Value><Value for="TA11">13.7</Value><Value for="TA12">15.7</Value><Value for="TA13">22.9</Value><Value for="TA15">21.8</Value><Value for="TA16">23.0</Value><Value for="TA17">14.5</Value><Value for="TA18">15.7</Value><Value for="TA19">19.1</Value><Value for="TA2">19.9</Value><Value for="TA20">22.2</Value><Value for="TA21">18.2</Value><Value for="TA22">22.0</Value><Value for="TA23">17.5</Value><Value for="TA24">21.1</Value><Value for="TA25">24.4</Value><Value for="TA26">23.4</Value><Value for="TA27">23.3</Value><Value for="TA28">24.2</Value><Value for="TA29">20.6</Value><Value for="TA3">16.7</Value><Value for="TA30">25.7</Value><Value for="TA31">20.9</Value><Value for="TA32">12.6</Value><Value for="TA33">14.3</Value><Value for="TA34">8.6</Value><Value for="TA35">15.1</Value><Value for="TA36">20.8</Value><Value for="TA37">17.0</Value><Value for="TA38">14.8</Value><Value for="TA39">12.3</Value><Value for="TA4">NaN</Value><Value for="TA40">14.1</Value><Value for="TA41">12.2</Value><Value for="TA42">17.2</Value><Value for="TA43">12.8</Value><Value for="TA44">21.4</Value><Value for="TA45">12.5</Value><Value for="TA46">20.9</Value><Value for="TA47">13.2</Value><Value for="TA48">14.6</Value><Value for="TA49">7.1</Value><Value for="TA5">NaN</Value><Value for="TA50">11.1</Value><Value for="TA51">10.9</Value><Value for="TA52">14.2</Value><Value for="TA53">11.9</Value><Value for="TA54">9.3</Value><Value for="TA55">8.9</Value><Value for="TA56">4.4</Value><Value for="TA57">5.9</Value><Value for="TA58">2.0</Value><Value for="TA59">10.4</Value><Value for="TA6">NaN</Value><Value for="TA60">15.0</Value><Value for="TA62">7.1</Value><Value for="TA63">14.6</Value><Value for="TA64">8.6</Value><Value for="TA65">7.6</Value><Value for="TA66">7.5</Value><Value for="TA67">3.1</Value><Value for="TA68">6.9</Value><Value for="TA69">5.8</Value><Value for="TA7">25.4</Value><Value for="TA70">4.3</Value><Value for="TA71">7.7</Value><Value for="TA72">5.5</Value><Value for="TA73">8.4</Value><Value for="TA74">11.5</Value><Value for="TA75">11.1</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">19.9</ComparisonValue><Property name="dc:title" value="People living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require one or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2323" name="Pacific" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2323&amp;id=13104&amp;norefer=true" ias:uid="13104" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Pacific population" precision="1"><Value for="TA1">28.2</Value><Value for="TA10">NaN</Value><Value for="TA11">12.2</Value><Value for="TA12">7.1</Value><Value for="TA13">26.1</Value><Value for="TA15">21.2</Value><Value for="TA16">29.4</Value><Value for="TA17">14.1</Value><Value for="TA18">11.0</Value><Value for="TA19">24.2</Value><Value for="TA2">23.0</Value><Value for="TA20">23.5</Value><Value for="TA21">19.1</Value><Value for="TA22">25.8</Value><Value for="TA23">24.3</Value><Value for="TA24">26.9</Value><Value for="TA25">22.9</Value><Value for="TA26">13.3</Value><Value for="TA27">23.6</Value><Value for="TA28">29.8</Value><Value for="TA29">17.8</Value><Value for="TA3">19.3</Value><Value for="TA30">36.1</Value><Value for="TA31">29.4</Value><Value for="TA32">11.8</Value><Value for="TA33">18.0</Value><Value for="TA34">15.8</Value><Value for="TA35">8.6</Value><Value for="TA36">22.4</Value><Value for="TA37">16.2</Value><Value for="TA38">28.8</Value><Value for="TA39">16.0</Value><Value for="TA4">NaN</Value><Value for="TA40">24.9</Value><Value for="TA41">7.2</Value><Value for="TA42">33.7</Value><Value for="TA43">15.4</Value><Value for="TA44">37.9</Value><Value for="TA45">27.7</Value><Value for="TA46">35.3</Value><Value for="TA47">27.2</Value><Value for="TA48">23.8</Value><Value for="TA49">14.6</Value><Value for="TA5">NaN</Value><Value for="TA50">7.7</Value><Value for="TA51">17.2</Value><Value for="TA52">21.3</Value><Value for="TA53">38.2</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">9.0</Value><Value for="TA57">9.5</Value><Value for="TA58">6.1</Value><Value for="TA59">17.5</Value><Value for="TA6">NaN</Value><Value for="TA60">30.8</Value><Value for="TA62">8.1</Value><Value for="TA63">37.8</Value><Value for="TA64">12.4</Value><Value for="TA65">0.0</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">35.2</Value><Value for="TA69">10.9</Value><Value for="TA7">45.3</Value><Value for="TA70">14.7</Value><Value for="TA71">15.1</Value><Value for="TA72">9.7</Value><Value for="TA73">10.7</Value><Value for="TA74">0.0</Value><Value for="TA75">21.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">39.7</ComparisonValue><Property name="dc:title" value="People living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require one or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2321" name="MELAA" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2321&amp;id=13102&amp;norefer=true" ias:uid="13102" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % MELAA population" precision="1"><Value for="TA1">4.1</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">0.0</Value><Value for="TA13">7.3</Value><Value for="TA15">5.3</Value><Value for="TA16">23.2</Value><Value for="TA17">6.4</Value><Value for="TA18">0.0</Value><Value for="TA19">5.9</Value><Value for="TA2">4.4</Value><Value for="TA20">0.0</Value><Value for="TA21">2.4</Value><Value for="TA22">0.0</Value><Value for="TA23">5.0</Value><Value for="TA24">6.7</Value><Value for="TA25">6.9</Value><Value for="TA26">0.0</Value><Value for="TA27">0.0</Value><Value for="TA28">14.8</Value><Value for="TA29">0.0</Value><Value for="TA3">14.3</Value><Value for="TA30">14.0</Value><Value for="TA31">8.7</Value><Value for="TA32">0.0</Value><Value for="TA33">2.2</Value><Value for="TA34">0.0</Value><Value for="TA35">0.0</Value><Value for="TA36">0.0</Value><Value for="TA37">0.0</Value><Value for="TA38">0.0</Value><Value for="TA39">9.1</Value><Value for="TA4">NaN</Value><Value for="TA40">12.5</Value><Value for="TA41">0.0</Value><Value for="TA42">10.5</Value><Value for="TA43">4.3</Value><Value for="TA44">7.3</Value><Value for="TA45">9.7</Value><Value for="TA46">26.1</Value><Value for="TA47">21.4</Value><Value for="TA48">0.0</Value><Value for="TA49">0.0</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">2.5</Value><Value for="TA52">3.5</Value><Value for="TA53">2.6</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">12.5</Value><Value for="TA59">0.0</Value><Value for="TA6">NaN</Value><Value for="TA60">16.0</Value><Value for="TA62">0.0</Value><Value for="TA63">6.3</Value><Value for="TA64">3.6</Value><Value for="TA65">0.0</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">7.1</Value><Value for="TA69">0.0</Value><Value for="TA7">18.8</Value><Value for="TA70">14.3</Value><Value for="TA71">11.7</Value><Value for="TA72">13.9</Value><Value for="TA73">0.0</Value><Value for="TA74">0.0</Value><Value for="TA75">12.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">17.2</ComparisonValue><Property name="dc:title" value="People living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require one or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Middle Eastern, Latin American or African ethnicity" /></Indicator><Indicator id="i2322" name="Other" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2322&amp;id=13103&amp;norefer=true" ias:uid="13103" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Other ethnicity population" precision="1"><Value for="TA1">1.1</Value><Value for="TA10">NaN</Value><Value for="TA11">0.6</Value><Value for="TA12">2.1</Value><Value for="TA13">1.5</Value><Value for="TA15">1.2</Value><Value for="TA16">3.3</Value><Value for="TA17">3.2</Value><Value for="TA18">6.3</Value><Value for="TA19">0.0</Value><Value for="TA2">1.7</Value><Value for="TA20">0.0</Value><Value for="TA21">1.4</Value><Value for="TA22">1.1</Value><Value for="TA23">2.1</Value><Value for="TA24">2.8</Value><Value for="TA25">2.7</Value><Value for="TA26">9.1</Value><Value for="TA27">0.0</Value><Value for="TA28">2.0</Value><Value for="TA29">0.0</Value><Value for="TA3">1.6</Value><Value for="TA30">1.4</Value><Value for="TA31">2.2</Value><Value for="TA32">0.0</Value><Value for="TA33">1.6</Value><Value for="TA34">0.0</Value><Value for="TA35">0.0</Value><Value for="TA36">0.0</Value><Value for="TA37">2.0</Value><Value for="TA38">1.9</Value><Value for="TA39">0.9</Value><Value for="TA4">NaN</Value><Value for="TA40">1.9</Value><Value for="TA41">0.0</Value><Value for="TA42">0.6</Value><Value for="TA43">1.2</Value><Value for="TA44">1.2</Value><Value for="TA45">1.7</Value><Value for="TA46">4.0</Value><Value for="TA47">3.5</Value><Value for="TA48">0.7</Value><Value for="TA49">0.0</Value><Value for="TA5">NaN</Value><Value for="TA50">1.6</Value><Value for="TA51">1.6</Value><Value for="TA52">1.2</Value><Value for="TA53">2.1</Value><Value for="TA54">0.0</Value><Value for="TA55">1.8</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">1.6</Value><Value for="TA59">2.8</Value><Value for="TA6">NaN</Value><Value for="TA60">4.8</Value><Value for="TA62">1.1</Value><Value for="TA63">1.9</Value><Value for="TA64">2.8</Value><Value for="TA65">4.4</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.8</Value><Value for="TA69">0.0</Value><Value for="TA7">5.6</Value><Value for="TA70">1.4</Value><Value for="TA71">3.4</Value><Value for="TA72">0.9</Value><Value for="TA73">1.1</Value><Value for="TA74">0.0</Value><Value for="TA75">1.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">3.6</ComparisonValue><Property name="dc:title" value="People living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require one or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator></Theme><Theme id="PeoplelivinginOvercrowdedHouseholds-Twoormorebedroomsneeded(CNOS)" ias:uid="1152" name="People living in severely crowded households - two or more bedrooms needed (CNOS)" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2331" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2331&amp;id=13112&amp;norefer=true" ias:uid="13112" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % total stated population" precision="1"><Value for="TA1">4.9</Value><Value for="TA10">NaN</Value><Value for="TA11">1.2</Value><Value for="TA12">1.3</Value><Value for="TA13">2.6</Value><Value for="TA15">1.6</Value><Value for="TA16">3.2</Value><Value for="TA17">0.8</Value><Value for="TA18">1.6</Value><Value for="TA19">2.9</Value><Value for="TA2">2.2</Value><Value for="TA20">3.8</Value><Value for="TA21">2.0</Value><Value for="TA22">2.7</Value><Value for="TA23">1.9</Value><Value for="TA24">3.3</Value><Value for="TA25">3.9</Value><Value for="TA26">6.6</Value><Value for="TA27">5.3</Value><Value for="TA28">4.4</Value><Value for="TA29">4.8</Value><Value for="TA3">1.9</Value><Value for="TA30">3.5</Value><Value for="TA31">2.1</Value><Value for="TA32">0.9</Value><Value for="TA33">1.0</Value><Value for="TA34">0.7</Value><Value for="TA35">1.3</Value><Value for="TA36">3.4</Value><Value for="TA37">1.7</Value><Value for="TA38">1.5</Value><Value for="TA39">1.0</Value><Value for="TA4">NaN</Value><Value for="TA40">1.5</Value><Value for="TA41">0.9</Value><Value for="TA42">2.3</Value><Value for="TA43">0.8</Value><Value for="TA44">5.7</Value><Value for="TA45">1.3</Value><Value for="TA46">3.3</Value><Value for="TA47">1.6</Value><Value for="TA48">1.6</Value><Value for="TA49">0.4</Value><Value for="TA5">NaN</Value><Value for="TA50">0.5</Value><Value for="TA51">0.7</Value><Value for="TA52">1.2</Value><Value for="TA53">1.3</Value><Value for="TA54">0.2</Value><Value for="TA55">0.5</Value><Value for="TA56">0.3</Value><Value for="TA57">0.2</Value><Value for="TA58">0.2</Value><Value for="TA59">0.8</Value><Value for="TA6">NaN</Value><Value for="TA60">1.7</Value><Value for="TA62">0.5</Value><Value for="TA63">1.5</Value><Value for="TA64">0.5</Value><Value for="TA65">0.3</Value><Value for="TA66">0.4</Value><Value for="TA67">0.9</Value><Value for="TA68">0.7</Value><Value for="TA69">0.2</Value><Value for="TA7">5.4</Value><Value for="TA70">1.0</Value><Value for="TA71">0.8</Value><Value for="TA72">0.2</Value><Value for="TA73">0.5</Value><Value for="TA74">0.4</Value><Value for="TA75">0.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">3.0</ComparisonValue><Property name="dc:title" value="People living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require two or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Total number of people who answered the relevant questions used to calculate this data" /></Indicator><Indicator id="i2325" name="Asian" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2325&amp;id=13106&amp;norefer=true" ias:uid="13106" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Asian population" precision="1"><Value for="TA1">2.4</Value><Value for="TA10">NaN</Value><Value for="TA11">4.4</Value><Value for="TA12">1.5</Value><Value for="TA13">2.2</Value><Value for="TA15">4.3</Value><Value for="TA16">4.3</Value><Value for="TA17">0.4</Value><Value for="TA18">2.6</Value><Value for="TA19">1.8</Value><Value for="TA2">3.5</Value><Value for="TA20">7.6</Value><Value for="TA21">3.6</Value><Value for="TA22">13.7</Value><Value for="TA23">8.8</Value><Value for="TA24">7.6</Value><Value for="TA25">1.2</Value><Value for="TA26">2.7</Value><Value for="TA27">0.0</Value><Value for="TA28">1.8</Value><Value for="TA29">0.0</Value><Value for="TA3">0.0</Value><Value for="TA30">9.4</Value><Value for="TA31">4.9</Value><Value for="TA32">0.0</Value><Value for="TA33">3.2</Value><Value for="TA34">5.8</Value><Value for="TA35">0.0</Value><Value for="TA36">0.0</Value><Value for="TA37">1.0</Value><Value for="TA38">2.4</Value><Value for="TA39">1.4</Value><Value for="TA4">NaN</Value><Value for="TA40">1.8</Value><Value for="TA41">0.0</Value><Value for="TA42">1.7</Value><Value for="TA43">2.1</Value><Value for="TA44">3.0</Value><Value for="TA45">1.8</Value><Value for="TA46">3.3</Value><Value for="TA47">3.8</Value><Value for="TA48">1.5</Value><Value for="TA49">0.0</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">4.1</Value><Value for="TA52">5.0</Value><Value for="TA53">1.3</Value><Value for="TA54">0.0</Value><Value for="TA55">2.4</Value><Value for="TA56">3.1</Value><Value for="TA57">0.0</Value><Value for="TA58">0.0</Value><Value for="TA59">4.2</Value><Value for="TA6">NaN</Value><Value for="TA60">4.8</Value><Value for="TA62">1.2</Value><Value for="TA63">2.9</Value><Value for="TA64">0.7</Value><Value for="TA65">5.4</Value><Value for="TA66">2.4</Value><Value for="TA67">0.0</Value><Value for="TA68">1.6</Value><Value for="TA69">0.0</Value><Value for="TA7">5.3</Value><Value for="TA70">4.8</Value><Value for="TA71">3.2</Value><Value for="TA72">0.0</Value><Value for="TA73">0.4</Value><Value for="TA74">0.0</Value><Value for="TA75">2.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.0</ComparisonValue><Property name="dc:title" value="People living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require two or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2326" name="European" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2326&amp;id=13107&amp;norefer=true" ias:uid="13107" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % European population" precision="1"><Value for="TA1">1.9</Value><Value for="TA10">NaN</Value><Value for="TA11">0.8</Value><Value for="TA12">0.5</Value><Value for="TA13">1.0</Value><Value for="TA15">0.5</Value><Value for="TA16">1.1</Value><Value for="TA17">0.3</Value><Value for="TA18">0.4</Value><Value for="TA19">0.9</Value><Value for="TA2">0.8</Value><Value for="TA20">0.9</Value><Value for="TA21">0.8</Value><Value for="TA22">0.7</Value><Value for="TA23">0.6</Value><Value for="TA24">1.1</Value><Value for="TA25">0.8</Value><Value for="TA26">3.1</Value><Value for="TA27">1.9</Value><Value for="TA28">1.5</Value><Value for="TA29">1.1</Value><Value for="TA3">0.9</Value><Value for="TA30">0.9</Value><Value for="TA31">0.9</Value><Value for="TA32">0.5</Value><Value for="TA33">0.5</Value><Value for="TA34">0.3</Value><Value for="TA35">0.7</Value><Value for="TA36">1.1</Value><Value for="TA37">0.8</Value><Value for="TA38">0.4</Value><Value for="TA39">0.6</Value><Value for="TA4">NaN</Value><Value for="TA40">0.7</Value><Value for="TA41">0.2</Value><Value for="TA42">1.1</Value><Value for="TA43">0.4</Value><Value for="TA44">1.6</Value><Value for="TA45">0.6</Value><Value for="TA46">1.2</Value><Value for="TA47">0.5</Value><Value for="TA48">0.7</Value><Value for="TA49">0.1</Value><Value for="TA5">NaN</Value><Value for="TA50">0.2</Value><Value for="TA51">0.5</Value><Value for="TA52">0.6</Value><Value for="TA53">0.5</Value><Value for="TA54">0.2</Value><Value for="TA55">0.4</Value><Value for="TA56">0.2</Value><Value for="TA57">0.1</Value><Value for="TA58">0.1</Value><Value for="TA59">0.6</Value><Value for="TA6">NaN</Value><Value for="TA60">0.8</Value><Value for="TA62">0.3</Value><Value for="TA63">0.6</Value><Value for="TA64">0.4</Value><Value for="TA65">0.1</Value><Value for="TA66">0.2</Value><Value for="TA67">1.2</Value><Value for="TA68">0.3</Value><Value for="TA69">0.1</Value><Value for="TA7">1.2</Value><Value for="TA70">0.5</Value><Value for="TA71">0.5</Value><Value for="TA72">0.1</Value><Value for="TA73">0.3</Value><Value for="TA74">0.2</Value><Value for="TA75">0.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">0.8</ComparisonValue><Property name="dc:title" value="People living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require two or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2327" name="Maori" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2327&amp;id=13108&amp;norefer=true" ias:uid="13108" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Maori population" precision="1"><Value for="TA1">9.9</Value><Value for="TA10">NaN</Value><Value for="TA11">3.9</Value><Value for="TA12">4.8</Value><Value for="TA13">7.9</Value><Value for="TA15">7.2</Value><Value for="TA16">8.7</Value><Value for="TA17">3.7</Value><Value for="TA18">5.3</Value><Value for="TA19">6.2</Value><Value for="TA2">6.4</Value><Value for="TA20">7.7</Value><Value for="TA21">5.1</Value><Value for="TA22">7.8</Value><Value for="TA23">5.5</Value><Value for="TA24">6.5</Value><Value for="TA25">8.6</Value><Value for="TA26">9.5</Value><Value for="TA27">7.8</Value><Value for="TA28">7.8</Value><Value for="TA29">7.5</Value><Value for="TA3">5.7</Value><Value for="TA30">8.5</Value><Value for="TA31">6.7</Value><Value for="TA32">3.0</Value><Value for="TA33">4.0</Value><Value for="TA34">0.5</Value><Value for="TA35">4.3</Value><Value for="TA36">7.4</Value><Value for="TA37">5.3</Value><Value for="TA38">3.2</Value><Value for="TA39">4.8</Value><Value for="TA4">NaN</Value><Value for="TA40">3.7</Value><Value for="TA41">3.2</Value><Value for="TA42">5.0</Value><Value for="TA43">2.9</Value><Value for="TA44">5.9</Value><Value for="TA45">2.4</Value><Value for="TA46">7.4</Value><Value for="TA47">3.0</Value><Value for="TA48">4.9</Value><Value for="TA49">1.2</Value><Value for="TA5">NaN</Value><Value for="TA50">2.6</Value><Value for="TA51">2.2</Value><Value for="TA52">4.4</Value><Value for="TA53">4.1</Value><Value for="TA54">0.6</Value><Value for="TA55">0.9</Value><Value for="TA56">0.9</Value><Value for="TA57">0.5</Value><Value for="TA58">0.4</Value><Value for="TA59">1.8</Value><Value for="TA6">NaN</Value><Value for="TA60">4.5</Value><Value for="TA62">1.8</Value><Value for="TA63">5.7</Value><Value for="TA64">1.7</Value><Value for="TA65">0.0</Value><Value for="TA66">2.1</Value><Value for="TA67">0.0</Value><Value for="TA68">0.4</Value><Value for="TA69">0.8</Value><Value for="TA7">10.0</Value><Value for="TA70">0.3</Value><Value for="TA71">1.7</Value><Value for="TA72">0.0</Value><Value for="TA73">2.2</Value><Value for="TA74">2.1</Value><Value for="TA75">2.1</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">6.8</ComparisonValue><Property name="dc:title" value="People living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require two or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2330" name="Pacific" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2330&amp;id=13111&amp;norefer=true" ias:uid="13111" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Pacific population" precision="1"><Value for="TA1">11.7</Value><Value for="TA10">NaN</Value><Value for="TA11">4.1</Value><Value for="TA12">0.8</Value><Value for="TA13">10.9</Value><Value for="TA15">7.8</Value><Value for="TA16">10.5</Value><Value for="TA17">1.2</Value><Value for="TA18">5.5</Value><Value for="TA19">7.1</Value><Value for="TA2">7.0</Value><Value for="TA20">3.6</Value><Value for="TA21">3.9</Value><Value for="TA22">13.6</Value><Value for="TA23">8.4</Value><Value for="TA24">11.2</Value><Value for="TA25">3.4</Value><Value for="TA26">2.7</Value><Value for="TA27">16.5</Value><Value for="TA28">6.7</Value><Value for="TA29">2.2</Value><Value for="TA3">7.3</Value><Value for="TA30">14.4</Value><Value for="TA31">10.6</Value><Value for="TA32">5.0</Value><Value for="TA33">6.8</Value><Value for="TA34">0.0</Value><Value for="TA35">1.6</Value><Value for="TA36">2.0</Value><Value for="TA37">2.6</Value><Value for="TA38">5.4</Value><Value for="TA39">4.7</Value><Value for="TA4">NaN</Value><Value for="TA40">9.8</Value><Value for="TA41">2.0</Value><Value for="TA42">14.0</Value><Value for="TA43">6.2</Value><Value for="TA44">17.0</Value><Value for="TA45">10.8</Value><Value for="TA46">13.9</Value><Value for="TA47">9.2</Value><Value for="TA48">10.9</Value><Value for="TA49">7.9</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">12.5</Value><Value for="TA52">9.1</Value><Value for="TA53">19.9</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">0.0</Value><Value for="TA59">11.4</Value><Value for="TA6">NaN</Value><Value for="TA60">11.0</Value><Value for="TA62">1.1</Value><Value for="TA63">18.2</Value><Value for="TA64">4.0</Value><Value for="TA65">0.0</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">11.0</Value><Value for="TA69">6.5</Value><Value for="TA7">21.7</Value><Value for="TA70">2.2</Value><Value for="TA71">5.0</Value><Value for="TA72">6.8</Value><Value for="TA73">0.0</Value><Value for="TA74">0.0</Value><Value for="TA75">6.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">18.1</ComparisonValue><Property name="dc:title" value="People living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require two or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2328" name="MELAA" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2328&amp;id=13109&amp;norefer=true" ias:uid="13109" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % MELAA population" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">0.0</Value><Value for="TA13">2.9</Value><Value for="TA15">1.8</Value><Value for="TA16">7.1</Value><Value for="TA17">2.1</Value><Value for="TA18">0.0</Value><Value for="TA19">0.0</Value><Value for="TA2">0.0</Value><Value for="TA20">0.0</Value><Value for="TA21">0.0</Value><Value for="TA22">0.0</Value><Value for="TA23">0.9</Value><Value for="TA24">0.0</Value><Value for="TA25">0.0</Value><Value for="TA26">0.0</Value><Value for="TA27">0.0</Value><Value for="TA28">6.2</Value><Value for="TA29">0.0</Value><Value for="TA3">0.0</Value><Value for="TA30">4.2</Value><Value for="TA31">1.7</Value><Value for="TA32">0.0</Value><Value for="TA33">0.0</Value><Value for="TA34">0.0</Value><Value for="TA35">0.0</Value><Value for="TA36">0.0</Value><Value for="TA37">0.0</Value><Value for="TA38">0.0</Value><Value for="TA39">0.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.9</Value><Value for="TA41">0.0</Value><Value for="TA42">3.5</Value><Value for="TA43">1.7</Value><Value for="TA44">0.9</Value><Value for="TA45">1.7</Value><Value for="TA46">6.2</Value><Value for="TA47">5.0</Value><Value for="TA48">0.0</Value><Value for="TA49">0.0</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">0.0</Value><Value for="TA52">0.0</Value><Value for="TA53">1.3</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">0.0</Value><Value for="TA59">0.0</Value><Value for="TA6">NaN</Value><Value for="TA60">5.3</Value><Value for="TA62">0.0</Value><Value for="TA63">1.1</Value><Value for="TA64">0.0</Value><Value for="TA65">0.0</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.0</Value><Value for="TA69">0.0</Value><Value for="TA7">5.2</Value><Value for="TA70">3.9</Value><Value for="TA71">1.7</Value><Value for="TA72">0.0</Value><Value for="TA73">0.0</Value><Value for="TA74">0.0</Value><Value for="TA75">0.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.5</ComparisonValue><Property name="dc:title" value="People living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require two or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Middle Eastern, Latin American or African ethnicity" /></Indicator><Indicator id="i2329" name="Other " type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2329&amp;id=13110&amp;norefer=true" ias:uid="13110" ias:utime="2013-03-05 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Other ethnicity population" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">0.0</Value><Value for="TA13">0.0</Value><Value for="TA15">0.0</Value><Value for="TA16">0.5</Value><Value for="TA17">0.0</Value><Value for="TA18">0.0</Value><Value for="TA19">0.0</Value><Value for="TA2">0.0</Value><Value for="TA20">0.0</Value><Value for="TA21">1.4</Value><Value for="TA22">0.0</Value><Value for="TA23">0.4</Value><Value for="TA24">0.5</Value><Value for="TA25">0.9</Value><Value for="TA26">9.1</Value><Value for="TA27">0.0</Value><Value for="TA28">0.0</Value><Value for="TA29">0.0</Value><Value for="TA3">0.0</Value><Value for="TA30">0.8</Value><Value for="TA31">0.0</Value><Value for="TA32">0.0</Value><Value for="TA33">0.4</Value><Value for="TA34">0.0</Value><Value for="TA35">0.0</Value><Value for="TA36">0.0</Value><Value for="TA37">1.0</Value><Value for="TA38">0.0</Value><Value for="TA39">0.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">0.0</Value><Value for="TA42">0.0</Value><Value for="TA43">0.3</Value><Value for="TA44">0.5</Value><Value for="TA45">0.0</Value><Value for="TA46">0.9</Value><Value for="TA47">0.3</Value><Value for="TA48">0.0</Value><Value for="TA49">0.0</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">0.3</Value><Value for="TA52">0.0</Value><Value for="TA53">0.5</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">0.0</Value><Value for="TA59">0.5</Value><Value for="TA6">NaN</Value><Value for="TA60">0.9</Value><Value for="TA62">0.3</Value><Value for="TA63">0.0</Value><Value for="TA64">0.5</Value><Value for="TA65">0.0</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.0</Value><Value for="TA69">0.0</Value><Value for="TA7">1.1</Value><Value for="TA70">0.0</Value><Value for="TA71">0.3</Value><Value for="TA72">0.0</Value><Value for="TA73">0.0</Value><Value for="TA74">0.0</Value><Value for="TA75">0.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">0.6</ComparisonValue><Property name="dc:title" value="People living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of people living in overcrowded conditions (by ethnicity) who require two or more bedrooms according to the Canadian National Occupancy Standard (CNOS)" /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator></Theme><Theme id="Childrenunder5yearslivinginOvercrowdedHouseholds-Oneormorebedroomsneeded(CNOS)" ias:uid="1161" name="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2354" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2354&amp;id=13123&amp;norefer=true" ias:uid="13123" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % total stated population under 5" precision="1"><Value for="TA1">25.9</Value><Value for="TA10">NaN</Value><Value for="TA11">12.7</Value><Value for="TA12">12.0</Value><Value for="TA13">13.8</Value><Value for="TA15">12.0</Value><Value for="TA16">15.3</Value><Value for="TA17">6.7</Value><Value for="TA18">8.6</Value><Value for="TA19">18.6</Value><Value for="TA2">14.1</Value><Value for="TA20">21.3</Value><Value for="TA21">14.0</Value><Value for="TA22">15.5</Value><Value for="TA23">11.1</Value><Value for="TA24">17.4</Value><Value for="TA25">20.7</Value><Value for="TA26">25.0</Value><Value for="TA27">28.8</Value><Value for="TA28">24.3</Value><Value for="TA29">24.6</Value><Value for="TA3">13.9</Value><Value for="TA30">19.0</Value><Value for="TA31">14.1</Value><Value for="TA32">9.4</Value><Value for="TA33">8.4</Value><Value for="TA34">8.1</Value><Value for="TA35">9.8</Value><Value for="TA36">17.4</Value><Value for="TA37">13.7</Value><Value for="TA38">13.6</Value><Value for="TA39">7.2</Value><Value for="TA4">NaN</Value><Value for="TA40">11.0</Value><Value for="TA41">7.5</Value><Value for="TA42">17.3</Value><Value for="TA43">8.4</Value><Value for="TA44">19.6</Value><Value for="TA45">10.0</Value><Value for="TA46">16.4</Value><Value for="TA47">10.0</Value><Value for="TA48">9.6</Value><Value for="TA49">8.4</Value><Value for="TA5">NaN</Value><Value for="TA50">7.0</Value><Value for="TA51">7.3</Value><Value for="TA52">8.9</Value><Value for="TA53">8.0</Value><Value for="TA54">9.5</Value><Value for="TA55">11.9</Value><Value for="TA56">6.2</Value><Value for="TA57">7.3</Value><Value for="TA58">5.7</Value><Value for="TA59">6.8</Value><Value for="TA6">NaN</Value><Value for="TA60">11.1</Value><Value for="TA62">3.7</Value><Value for="TA63">9.6</Value><Value for="TA64">6.6</Value><Value for="TA65">4.8</Value><Value for="TA66">5.1</Value><Value for="TA67">NaN</Value><Value for="TA68">8.6</Value><Value for="TA69">4.2</Value><Value for="TA7">22.0</Value><Value for="TA70">5.3</Value><Value for="TA71">6.1</Value><Value for="TA72">5.2</Value><Value for="TA73">5.0</Value><Value for="TA74">6.1</Value><Value for="TA75">8.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">15.5</ComparisonValue><Property name="dc:title" value="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under 5, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2348" name="Asian" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2348&amp;id=13117&amp;norefer=true" ias:uid="13117" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Asian population under 5" precision="1"><Value for="TA1">19.4</Value><Value for="TA10">NaN</Value><Value for="TA11">25.0</Value><Value for="TA12">NaN</Value><Value for="TA13">13.4</Value><Value for="TA15">16.7</Value><Value for="TA16">16.9</Value><Value for="TA17">14.7</Value><Value for="TA18">NaN</Value><Value for="TA19">15.0</Value><Value for="TA2">13.4</Value><Value for="TA20">NaN</Value><Value for="TA21">12.1</Value><Value for="TA22">28.6</Value><Value for="TA23">26.4</Value><Value for="TA24">20.9</Value><Value for="TA25">23.8</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">19.4</Value><Value for="TA29">NaN</Value><Value for="TA3">30.0</Value><Value for="TA30">23.9</Value><Value for="TA31">15.2</Value><Value for="TA32">NaN</Value><Value for="TA33">15.2</Value><Value for="TA34">NaN</Value><Value for="TA35">10.5</Value><Value for="TA36">NaN</Value><Value for="TA37">17.2</Value><Value for="TA38">NaN</Value><Value for="TA39">25.0</Value><Value for="TA4">NaN</Value><Value for="TA40">17.4</Value><Value for="TA41">NaN</Value><Value for="TA42">21.7</Value><Value for="TA43">7.1</Value><Value for="TA44">15.4</Value><Value for="TA45">16.7</Value><Value for="TA46">20.3</Value><Value for="TA47">19.4</Value><Value for="TA48">14.3</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">10.0</Value><Value for="TA52">22.7</Value><Value for="TA53">18.8</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">18.3</Value><Value for="TA62">8.6</Value><Value for="TA63">17.7</Value><Value for="TA64">16.7</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">22.4</Value><Value for="TA70">16.3</Value><Value for="TA71">15.3</Value><Value for="TA72">NaN</Value><Value for="TA73">10.5</Value><Value for="TA74">NaN</Value><Value for="TA75">15.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">20.9</ComparisonValue><Property name="dc:title" value="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under 5, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2349" name="European" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2349&amp;id=13118&amp;norefer=true" ias:uid="13118" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % European population under 5" precision="1"><Value for="TA1">15.8</Value><Value for="TA10">NaN</Value><Value for="TA11">11.0</Value><Value for="TA12">8.0</Value><Value for="TA13">8.0</Value><Value for="TA15">8.1</Value><Value for="TA16">8.5</Value><Value for="TA17">3.6</Value><Value for="TA18">4.7</Value><Value for="TA19">10.8</Value><Value for="TA2">9.0</Value><Value for="TA20">12.0</Value><Value for="TA21">7.8</Value><Value for="TA22">7.8</Value><Value for="TA23">5.7</Value><Value for="TA24">9.3</Value><Value for="TA25">10.9</Value><Value for="TA26">15.3</Value><Value for="TA27">20.3</Value><Value for="TA28">12.8</Value><Value for="TA29">14.0</Value><Value for="TA3">8.8</Value><Value for="TA30">9.8</Value><Value for="TA31">8.5</Value><Value for="TA32">5.6</Value><Value for="TA33">5.6</Value><Value for="TA34">5.7</Value><Value for="TA35">7.5</Value><Value for="TA36">12.4</Value><Value for="TA37">9.4</Value><Value for="TA38">8.1</Value><Value for="TA39">5.4</Value><Value for="TA4">NaN</Value><Value for="TA40">7.2</Value><Value for="TA41">5.0</Value><Value for="TA42">12.5</Value><Value for="TA43">5.9</Value><Value for="TA44">11.2</Value><Value for="TA45">6.7</Value><Value for="TA46">9.8</Value><Value for="TA47">4.9</Value><Value for="TA48">7.1</Value><Value for="TA49">6.0</Value><Value for="TA5">NaN</Value><Value for="TA50">6.0</Value><Value for="TA51">6.5</Value><Value for="TA52">5.8</Value><Value for="TA53">5.7</Value><Value for="TA54">8.8</Value><Value for="TA55">10.7</Value><Value for="TA56">4.9</Value><Value for="TA57">7.4</Value><Value for="TA58">5.6</Value><Value for="TA59">5.8</Value><Value for="TA6">NaN</Value><Value for="TA60">7.7</Value><Value for="TA62">2.9</Value><Value for="TA63">5.7</Value><Value for="TA64">5.7</Value><Value for="TA65">4.0</Value><Value for="TA66">2.4</Value><Value for="TA67">NaN</Value><Value for="TA68">5.7</Value><Value for="TA69">3.8</Value><Value for="TA7">9.2</Value><Value for="TA70">3.7</Value><Value for="TA71">5.1</Value><Value for="TA72">4.2</Value><Value for="TA73">4.1</Value><Value for="TA74">5.2</Value><Value for="TA75">6.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">7.8</ComparisonValue><Property name="dc:title" value="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under 5, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2350" name="Maori" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2350&amp;id=13119&amp;norefer=true" ias:uid="13119" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Maori population under 5" precision="1"><Value for="TA1">33.4</Value><Value for="TA10">NaN</Value><Value for="TA11">20.6</Value><Value for="TA12">19.9</Value><Value for="TA13">26.7</Value><Value for="TA15">25.0</Value><Value for="TA16">25.3</Value><Value for="TA17">17.0</Value><Value for="TA18">14.6</Value><Value for="TA19">23.1</Value><Value for="TA2">22.6</Value><Value for="TA20">30.3</Value><Value for="TA21">24.4</Value><Value for="TA22">30.3</Value><Value for="TA23">20.7</Value><Value for="TA24">25.6</Value><Value for="TA25">30.1</Value><Value for="TA26">27.8</Value><Value for="TA27">31.9</Value><Value for="TA28">31.9</Value><Value for="TA29">31.2</Value><Value for="TA3">24.0</Value><Value for="TA30">32.6</Value><Value for="TA31">26.7</Value><Value for="TA32">18.4</Value><Value for="TA33">16.6</Value><Value for="TA34">14.3</Value><Value for="TA35">19.2</Value><Value for="TA36">23.9</Value><Value for="TA37">21.7</Value><Value for="TA38">24.3</Value><Value for="TA39">12.4</Value><Value for="TA4">NaN</Value><Value for="TA40">16.3</Value><Value for="TA41">14.3</Value><Value for="TA42">21.4</Value><Value for="TA43">15.4</Value><Value for="TA44">25.1</Value><Value for="TA45">16.0</Value><Value for="TA46">25.3</Value><Value for="TA47">16.4</Value><Value for="TA48">15.9</Value><Value for="TA49">14.7</Value><Value for="TA5">NaN</Value><Value for="TA50">14.6</Value><Value for="TA51">15.5</Value><Value for="TA52">16.4</Value><Value for="TA53">12.2</Value><Value for="TA54">17.4</Value><Value for="TA55">19.4</Value><Value for="TA56">4.4</Value><Value for="TA57">8.8</Value><Value for="TA58">NaN</Value><Value for="TA59">12.5</Value><Value for="TA6">NaN</Value><Value for="TA60">18.8</Value><Value for="TA62">11.0</Value><Value for="TA63">17.9</Value><Value for="TA64">11.5</Value><Value for="TA65">16.7</Value><Value for="TA66">13.3</Value><Value for="TA67">NaN</Value><Value for="TA68">6.1</Value><Value for="TA69">5.1</Value><Value for="TA7">30.6</Value><Value for="TA70">5.0</Value><Value for="TA71">9.7</Value><Value for="TA72">9.4</Value><Value for="TA73">7.8</Value><Value for="TA74">15.1</Value><Value for="TA75">13.1</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">24.3</ComparisonValue><Property name="dc:title" value="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under 5, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2353" name="Pacific" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2353&amp;id=13122&amp;norefer=true" ias:uid="13122" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Pacific population under 5" precision="1"><Value for="TA1">39.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">14.3</Value><Value for="TA13">35.5</Value><Value for="TA15">29.6</Value><Value for="TA16">30.0</Value><Value for="TA17">13.6</Value><Value for="TA18">NaN</Value><Value for="TA19">29.7</Value><Value for="TA2">27.5</Value><Value for="TA20">26.1</Value><Value for="TA21">19.4</Value><Value for="TA22">25.0</Value><Value for="TA23">25.2</Value><Value for="TA24">28.1</Value><Value for="TA25">27.9</Value><Value for="TA26">NaN</Value><Value for="TA27">45.5</Value><Value for="TA28">35.6</Value><Value for="TA29">0.0</Value><Value for="TA3">22.6</Value><Value for="TA30">35.6</Value><Value for="TA31">31.7</Value><Value for="TA32">28.6</Value><Value for="TA33">25.0</Value><Value for="TA34">NaN</Value><Value for="TA35">13.6</Value><Value for="TA36">33.3</Value><Value for="TA37">22.2</Value><Value for="TA38">34.3</Value><Value for="TA39">28.6</Value><Value for="TA4">NaN</Value><Value for="TA40">24.0</Value><Value for="TA41">NaN</Value><Value for="TA42">31.4</Value><Value for="TA43">17.0</Value><Value for="TA44">37.4</Value><Value for="TA45">26.7</Value><Value for="TA46">36.6</Value><Value for="TA47">28.8</Value><Value for="TA48">27.3</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">20.0</Value><Value for="TA51">28.6</Value><Value for="TA52">18.4</Value><Value for="TA53">32.7</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">17.7</Value><Value for="TA6">NaN</Value><Value for="TA60">32.1</Value><Value for="TA62">13.0</Value><Value for="TA63">42.4</Value><Value for="TA64">11.1</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">38.5</Value><Value for="TA69">NaN</Value><Value for="TA7">49.1</Value><Value for="TA70">30.0</Value><Value for="TA71">14.7</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">23.1</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">42.2</ComparisonValue><Property name="dc:title" value="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under 5, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2351" name="MELAA" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2351&amp;id=13120&amp;norefer=true" ias:uid="13120" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % MELAA population under 5" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">26.2</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">NaN</Value><Value for="TA24">NaN</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">27.3</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">13.8</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">NaN</Value><Value for="TA46">28.6</Value><Value for="TA47">25.9</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">18.6</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">21.5</Value><Value for="TA70">20.0</Value><Value for="TA71">10.7</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">33.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">20.2</ComparisonValue><Property name="dc:title" value="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under 5, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2352" name="Other" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2352&amp;id=13121&amp;norefer=true" ias:uid="13121" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Other ethnicity population under 5" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">6.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">NaN</Value><Value for="TA24">8.3</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">9.4</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">NaN</Value><Value for="TA46">9.4</Value><Value for="TA47">NaN</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">9.7</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">12.4</Value><Value for="TA70">NaN</Value><Value for="TA71">4.8</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">NaN</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">8.5</ComparisonValue><Property name="dc:title" value="Children under 5 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under 5, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator></Theme><Theme id="Childrenunder5yearslivinginOvercrowdedHouseholds-Twoormorebedroomsneeded(CNOS)" ias:uid="1162" name="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2361" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2361&amp;id=13130&amp;norefer=true" ias:uid="13130" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % total stated population under 5" precision="1"><Value for="TA1">9.9</Value><Value for="TA10">NaN</Value><Value for="TA11">2.3</Value><Value for="TA12">2.5</Value><Value for="TA13">4.4</Value><Value for="TA15">2.6</Value><Value for="TA16">4.7</Value><Value for="TA17">1.3</Value><Value for="TA18">2.6</Value><Value for="TA19">4.2</Value><Value for="TA2">3.6</Value><Value for="TA20">6.2</Value><Value for="TA21">4.3</Value><Value for="TA22">4.5</Value><Value for="TA23">3.3</Value><Value for="TA24">4.9</Value><Value for="TA25">6.2</Value><Value for="TA26">10.1</Value><Value for="TA27">7.5</Value><Value for="TA28">7.9</Value><Value for="TA29">9.6</Value><Value for="TA3">4.7</Value><Value for="TA30">6.4</Value><Value for="TA31">4.0</Value><Value for="TA32">2.4</Value><Value for="TA33">1.8</Value><Value for="TA34">1.4</Value><Value for="TA35">2.8</Value><Value for="TA36">6.7</Value><Value for="TA37">3.1</Value><Value for="TA38">2.5</Value><Value for="TA39">1.6</Value><Value for="TA4">NaN</Value><Value for="TA40">2.7</Value><Value for="TA41">1.1</Value><Value for="TA42">4.3</Value><Value for="TA43">2.3</Value><Value for="TA44">7.1</Value><Value for="TA45">1.7</Value><Value for="TA46">5.1</Value><Value for="TA47">2.2</Value><Value for="TA48">2.7</Value><Value for="TA49">1.8</Value><Value for="TA5">NaN</Value><Value for="TA50">2.0</Value><Value for="TA51">1.1</Value><Value for="TA52">2.3</Value><Value for="TA53">2.2</Value><Value for="TA54">NaN</Value><Value for="TA55">1.9</Value><Value for="TA56">0.8</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">1.5</Value><Value for="TA6">NaN</Value><Value for="TA60">2.7</Value><Value for="TA62">0.8</Value><Value for="TA63">2.9</Value><Value for="TA64">0.9</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">1.9</Value><Value for="TA69">NaN</Value><Value for="TA7">8.3</Value><Value for="TA70">0.6</Value><Value for="TA71">0.9</Value><Value for="TA72">NaN</Value><Value for="TA73">0.4</Value><Value for="TA74">0.8</Value><Value for="TA75">1.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.0</ComparisonValue><Property name="dc:title" value="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which  requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2355" name="Asian" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2355&amp;id=13124&amp;norefer=true" ias:uid="13124" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Asian population under 5" precision="1"><Value for="TA1">6.5</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">10.0</Value><Value for="TA16">3.3</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">9.5</Value><Value for="TA23">9.8</Value><Value for="TA24">5.8</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">6.5</Value><Value for="TA31">4.4</Value><Value for="TA32">NaN</Value><Value for="TA33">3.3</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">2.5</Value><Value for="TA41">NaN</Value><Value for="TA42">8.7</Value><Value for="TA43">NaN</Value><Value for="TA44">4.8</Value><Value for="TA45">NaN</Value><Value for="TA46">4.1</Value><Value for="TA47">4.1</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">3.0</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">4.3</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">5.6</Value><Value for="TA70">NaN</Value><Value for="TA71">3.1</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">7.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.0</ComparisonValue><Property name="dc:title" value="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which  requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2356" name="European" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2356&amp;id=13125&amp;norefer=true" ias:uid="13125" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % European population under 5" precision="1"><Value for="TA1">4.3</Value><Value for="TA10">NaN</Value><Value for="TA11">1.8</Value><Value for="TA12">1.7</Value><Value for="TA13">1.8</Value><Value for="TA15">1.0</Value><Value for="TA16">2.0</Value><Value for="TA17">0.5</Value><Value for="TA18">NaN</Value><Value for="TA19">1.9</Value><Value for="TA2">1.6</Value><Value for="TA20">3.2</Value><Value for="TA21">2.6</Value><Value for="TA22">1.6</Value><Value for="TA23">1.1</Value><Value for="TA24">2.5</Value><Value for="TA25">2.1</Value><Value for="TA26">8.5</Value><Value for="TA27">4.4</Value><Value for="TA28">3.5</Value><Value for="TA29">4.3</Value><Value for="TA3">2.4</Value><Value for="TA30">2.4</Value><Value for="TA31">2.3</Value><Value for="TA32">2.2</Value><Value for="TA33">1.0</Value><Value for="TA34">NaN</Value><Value for="TA35">2.1</Value><Value for="TA36">3.5</Value><Value for="TA37">2.0</Value><Value for="TA38">1.2</Value><Value for="TA39">1.2</Value><Value for="TA4">NaN</Value><Value for="TA40">1.5</Value><Value for="TA41">NaN</Value><Value for="TA42">2.3</Value><Value for="TA43">1.0</Value><Value for="TA44">3.1</Value><Value for="TA45">1.0</Value><Value for="TA46">2.4</Value><Value for="TA47">0.6</Value><Value for="TA48">1.1</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">1.6</Value><Value for="TA51">0.6</Value><Value for="TA52">1.0</Value><Value for="TA53">1.1</Value><Value for="TA54">NaN</Value><Value for="TA55">1.5</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">1.2</Value><Value for="TA6">NaN</Value><Value for="TA60">1.6</Value><Value for="TA62">0.5</Value><Value for="TA63">1.1</Value><Value for="TA64">0.7</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">0.6</Value><Value for="TA69">NaN</Value><Value for="TA7">2.5</Value><Value for="TA70">0.5</Value><Value for="TA71">0.7</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">0.9</Value><Value for="TA75">0.9</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.8</ComparisonValue><Property name="dc:title" value="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which  requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2357" name="Maori" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2357&amp;id=13126&amp;norefer=true" ias:uid="13126" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Maori population under 5" precision="1"><Value for="TA1">13.7</Value><Value for="TA10">NaN</Value><Value for="TA11">4.3</Value><Value for="TA12">5.8</Value><Value for="TA13">9.3</Value><Value for="TA15">5.6</Value><Value for="TA16">9.0</Value><Value for="TA17">4.0</Value><Value for="TA18">5.6</Value><Value for="TA19">6.3</Value><Value for="TA2">6.5</Value><Value for="TA20">8.4</Value><Value for="TA21">8.0</Value><Value for="TA22">8.4</Value><Value for="TA23">6.7</Value><Value for="TA24">7.3</Value><Value for="TA25">9.8</Value><Value for="TA26">11.1</Value><Value for="TA27">8.2</Value><Value for="TA28">10.9</Value><Value for="TA29">12.3</Value><Value for="TA3">9.3</Value><Value for="TA30">12.1</Value><Value for="TA31">8.3</Value><Value for="TA32">5.5</Value><Value for="TA33">4.9</Value><Value for="TA34">NaN</Value><Value for="TA35">6.8</Value><Value for="TA36">10.1</Value><Value for="TA37">6.0</Value><Value for="TA38">3.6</Value><Value for="TA39">3.9</Value><Value for="TA4">NaN</Value><Value for="TA40">4.2</Value><Value for="TA41">2.4</Value><Value for="TA42">4.0</Value><Value for="TA43">5.0</Value><Value for="TA44">5.9</Value><Value for="TA45">2.4</Value><Value for="TA46">9.4</Value><Value for="TA47">4.3</Value><Value for="TA48">6.4</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">6.3</Value><Value for="TA51">2.4</Value><Value for="TA52">6.9</Value><Value for="TA53">5.3</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">3.1</Value><Value for="TA6">NaN</Value><Value for="TA60">5.7</Value><Value for="TA62">3.4</Value><Value for="TA63">4.7</Value><Value for="TA64">3.1</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">NaN</Value><Value for="TA7">12.5</Value><Value for="TA70">NaN</Value><Value for="TA71">2.2</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">2.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">8.3</ComparisonValue><Property name="dc:title" value="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which  requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2360" name="Pacific" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2360&amp;id=13129&amp;norefer=true" ias:uid="13129" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Pacific population under 5" precision="1"><Value for="TA1">20.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">17.2</Value><Value for="TA15">7.4</Value><Value for="TA16">10.4</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">5.1</Value><Value for="TA2">6.4</Value><Value for="TA20">NaN</Value><Value for="TA21">5.6</Value><Value for="TA22">12.5</Value><Value for="TA23">8.6</Value><Value for="TA24">12.3</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">27.3</Value><Value for="TA28">6.9</Value><Value for="TA29">NaN</Value><Value for="TA3">6.5</Value><Value for="TA30">12.4</Value><Value for="TA31">10.1</Value><Value for="TA32">14.3</Value><Value for="TA33">6.3</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">3.7</Value><Value for="TA38">5.7</Value><Value for="TA39">14.3</Value><Value for="TA4">NaN</Value><Value for="TA40">8.4</Value><Value for="TA41">NaN</Value><Value for="TA42">12.9</Value><Value for="TA43">8.5</Value><Value for="TA44">16.1</Value><Value for="TA45">8.0</Value><Value for="TA46">14.4</Value><Value for="TA47">11.0</Value><Value for="TA48">12.1</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">14.3</Value><Value for="TA52">10.5</Value><Value for="TA53">10.2</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">17.7</Value><Value for="TA6">NaN</Value><Value for="TA60">10.6</Value><Value for="TA62">NaN</Value><Value for="TA63">22.0</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">15.4</Value><Value for="TA69">NaN</Value><Value for="TA7">23.0</Value><Value for="TA70">0.0</Value><Value for="TA71">2.9</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">9.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">18.6</ComparisonValue><Property name="dc:title" value="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which  requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2358" name="MELAA" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2358&amp;id=13127&amp;norefer=true" ias:uid="13127" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % MELAA population under 5" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">6.8</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">NaN</Value><Value for="TA24">NaN</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">NaN</Value><Value for="TA46">4.8</Value><Value for="TA47">5.2</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">4.4</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">5.7</Value><Value for="TA70">NaN</Value><Value for="TA71">NaN</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">NaN</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.6</ComparisonValue><Property name="dc:title" value="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which  requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2359" name="Other" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2359&amp;id=13128&amp;norefer=true" ias:uid="13128" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Other ethnicity population under 5" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">NaN</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">NaN</Value><Value for="TA24">NaN</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">NaN</Value><Value for="TA46">NaN</Value><Value for="TA47">NaN</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">2.2</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">3.3</Value><Value for="TA70">NaN</Value><Value for="TA71">NaN</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">NaN</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">2.1</ComparisonValue><Property name="dc:title" value="Children under 5 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 5 years living in overcrowded conditions (by ethnicity) who live in a household which  requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="5/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator></Theme><Theme id="Childrenunder15yearslivinginOvercrowdedHouseholds-Oneormorebedroomsneeded(CNOS)" ias:uid="1163" name="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2368" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2368&amp;id=13137&amp;norefer=true" ias:uid="13137" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % total stated population under 15" precision="1"><Value for="TA1">24.7</Value><Value for="TA10">NaN</Value><Value for="TA11">12.1</Value><Value for="TA12">12.3</Value><Value for="TA13">13.8</Value><Value for="TA15">12.0</Value><Value for="TA16">15.9</Value><Value for="TA17">7.1</Value><Value for="TA18">11.5</Value><Value for="TA19">19.4</Value><Value for="TA2">14.4</Value><Value for="TA20">21.8</Value><Value for="TA21">14.1</Value><Value for="TA22">13.8</Value><Value for="TA23">10.8</Value><Value for="TA24">17.9</Value><Value for="TA25">20.8</Value><Value for="TA26">26.4</Value><Value for="TA27">28.9</Value><Value for="TA28">23.4</Value><Value for="TA29">26.1</Value><Value for="TA3">13.1</Value><Value for="TA30">18.4</Value><Value for="TA31">13.8</Value><Value for="TA32">9.1</Value><Value for="TA33">8.7</Value><Value for="TA34">6.3</Value><Value for="TA35">10.2</Value><Value for="TA36">20.9</Value><Value for="TA37">13.3</Value><Value for="TA38">13.5</Value><Value for="TA39">7.6</Value><Value for="TA4">NaN</Value><Value for="TA40">10.8</Value><Value for="TA41">8.3</Value><Value for="TA42">16.6</Value><Value for="TA43">8.5</Value><Value for="TA44">21.3</Value><Value for="TA45">10.2</Value><Value for="TA46">16.6</Value><Value for="TA47">9.6</Value><Value for="TA48">10.9</Value><Value for="TA49">6.5</Value><Value for="TA5">NaN</Value><Value for="TA50">6.6</Value><Value for="TA51">6.6</Value><Value for="TA52">8.8</Value><Value for="TA53">8.1</Value><Value for="TA54">9.2</Value><Value for="TA55">9.4</Value><Value for="TA56">6.2</Value><Value for="TA57">6.5</Value><Value for="TA58">5.6</Value><Value for="TA59">6.7</Value><Value for="TA6">NaN</Value><Value for="TA60">10.9</Value><Value for="TA62">3.9</Value><Value for="TA63">8.8</Value><Value for="TA64">6.4</Value><Value for="TA65">3.3</Value><Value for="TA66">5.2</Value><Value for="TA67">NaN</Value><Value for="TA68">8.9</Value><Value for="TA69">4.3</Value><Value for="TA7">21.9</Value><Value for="TA70">5.4</Value><Value for="TA71">6.2</Value><Value for="TA72">5.1</Value><Value for="TA73">5.6</Value><Value for="TA74">5.5</Value><Value for="TA75">8.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">15.5</ComparisonValue><Property name="dc:title" value="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed. NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Total number of Children under 5 years who answered the relevant questions used to calculate this data" /><Property name="dc:description" value="Total number of Children under 15 years who answered the relevant questions used to calculate this data" /></Indicator><Indicator id="i2362" name="Asian" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2362&amp;id=13131&amp;norefer=true" ias:uid="13131" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Asian population under 15" precision="1"><Value for="TA1">16.9</Value><Value for="TA10">NaN</Value><Value for="TA11">23.1</Value><Value for="TA12">NaN</Value><Value for="TA13">10.1</Value><Value for="TA15">16.8</Value><Value for="TA16">19.0</Value><Value for="TA17">14.3</Value><Value for="TA18">NaN</Value><Value for="TA19">20.8</Value><Value for="TA2">13.9</Value><Value for="TA20">11.8</Value><Value for="TA21">10.9</Value><Value for="TA22">30.5</Value><Value for="TA23">24.0</Value><Value for="TA24">18.9</Value><Value for="TA25">22.6</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">14.1</Value><Value for="TA29">NaN</Value><Value for="TA3">25.0</Value><Value for="TA30">26.1</Value><Value for="TA31">17.1</Value><Value for="TA32">NaN</Value><Value for="TA33">14.5</Value><Value for="TA34">NaN</Value><Value for="TA35">13.7</Value><Value for="TA36">NaN</Value><Value for="TA37">16.5</Value><Value for="TA38">NaN</Value><Value for="TA39">21.6</Value><Value for="TA4">NaN</Value><Value for="TA40">17.4</Value><Value for="TA41">NaN</Value><Value for="TA42">15.1</Value><Value for="TA43">10.9</Value><Value for="TA44">16.7</Value><Value for="TA45">16.6</Value><Value for="TA46">19.9</Value><Value for="TA47">17.6</Value><Value for="TA48">9.8</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">6.7</Value><Value for="TA52">20.5</Value><Value for="TA53">17.3</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">5.6</Value><Value for="TA6">NaN</Value><Value for="TA60">20.4</Value><Value for="TA62">11.7</Value><Value for="TA63">17.4</Value><Value for="TA64">17.1</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">22.6</Value><Value for="TA70">17.0</Value><Value for="TA71">15.9</Value><Value for="TA72">NaN</Value><Value for="TA73">10.0</Value><Value for="TA74">NaN</Value><Value for="TA75">15.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">21.1</ComparisonValue><Property name="dc:title" value="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed. NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2363" name="European" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2363&amp;id=13132&amp;norefer=true" ias:uid="13132" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % European population under 15" precision="1"><Value for="TA1">14.9</Value><Value for="TA10">NaN</Value><Value for="TA11">10.6</Value><Value for="TA12">8.2</Value><Value for="TA13">8.1</Value><Value for="TA15">8.1</Value><Value for="TA16">8.1</Value><Value for="TA17">4.2</Value><Value for="TA18">6.9</Value><Value for="TA19">11.1</Value><Value for="TA2">8.9</Value><Value for="TA20">12.3</Value><Value for="TA21">7.3</Value><Value for="TA22">6.9</Value><Value for="TA23">5.7</Value><Value for="TA24">9.5</Value><Value for="TA25">10.0</Value><Value for="TA26">16.7</Value><Value for="TA27">19.8</Value><Value for="TA28">11.8</Value><Value for="TA29">16.7</Value><Value for="TA3">9.2</Value><Value for="TA30">9.2</Value><Value for="TA31">8.5</Value><Value for="TA32">5.6</Value><Value for="TA33">6.1</Value><Value for="TA34">4.7</Value><Value for="TA35">7.9</Value><Value for="TA36">14.0</Value><Value for="TA37">9.3</Value><Value for="TA38">8.8</Value><Value for="TA39">5.9</Value><Value for="TA4">NaN</Value><Value for="TA40">7.0</Value><Value for="TA41">5.4</Value><Value for="TA42">12.3</Value><Value for="TA43">6.4</Value><Value for="TA44">10.8</Value><Value for="TA45">6.8</Value><Value for="TA46">9.1</Value><Value for="TA47">4.7</Value><Value for="TA48">8.2</Value><Value for="TA49">4.6</Value><Value for="TA5">NaN</Value><Value for="TA50">5.2</Value><Value for="TA51">6.0</Value><Value for="TA52">6.3</Value><Value for="TA53">5.6</Value><Value for="TA54">8.3</Value><Value for="TA55">8.9</Value><Value for="TA56">5.3</Value><Value for="TA57">6.5</Value><Value for="TA58">5.6</Value><Value for="TA59">5.9</Value><Value for="TA6">NaN</Value><Value for="TA60">7.4</Value><Value for="TA62">3.3</Value><Value for="TA63">5.3</Value><Value for="TA64">5.4</Value><Value for="TA65">1.4</Value><Value for="TA66">3.0</Value><Value for="TA67">NaN</Value><Value for="TA68">6.0</Value><Value for="TA69">4.0</Value><Value for="TA7">8.9</Value><Value for="TA70">3.6</Value><Value for="TA71">4.9</Value><Value for="TA72">4.2</Value><Value for="TA73">4.6</Value><Value for="TA74">3.7</Value><Value for="TA75">6.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">7.7</ComparisonValue><Property name="dc:title" value="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed. NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2364" name="Maori" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2364&amp;id=13133&amp;norefer=true" ias:uid="13133" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Maori population under 15" precision="1"><Value for="TA1">32.8</Value><Value for="TA10">NaN</Value><Value for="TA11">18.1</Value><Value for="TA12">22.1</Value><Value for="TA13">28.0</Value><Value for="TA15">26.9</Value><Value for="TA16">26.9</Value><Value for="TA17">17.3</Value><Value for="TA18">19.6</Value><Value for="TA19">25.6</Value><Value for="TA2">24.6</Value><Value for="TA20">29.4</Value><Value for="TA21">24.6</Value><Value for="TA22">27.6</Value><Value for="TA23">20.7</Value><Value for="TA24">26.6</Value><Value for="TA25">30.6</Value><Value for="TA26">29.5</Value><Value for="TA27">32.6</Value><Value for="TA28">31.6</Value><Value for="TA29">30.6</Value><Value for="TA3">22.6</Value><Value for="TA30">31.9</Value><Value for="TA31">26.0</Value><Value for="TA32">17.2</Value><Value for="TA33">17.4</Value><Value for="TA34">10.4</Value><Value for="TA35">19.8</Value><Value for="TA36">28.8</Value><Value for="TA37">21.9</Value><Value for="TA38">21.1</Value><Value for="TA39">14.9</Value><Value for="TA4">NaN</Value><Value for="TA40">17.5</Value><Value for="TA41">15.2</Value><Value for="TA42">22.2</Value><Value for="TA43">17.4</Value><Value for="TA44">25.8</Value><Value for="TA45">16.1</Value><Value for="TA46">25.5</Value><Value for="TA47">16.1</Value><Value for="TA48">17.4</Value><Value for="TA49">12.0</Value><Value for="TA5">NaN</Value><Value for="TA50">14.5</Value><Value for="TA51">12.9</Value><Value for="TA52">16.8</Value><Value for="TA53">15.0</Value><Value for="TA54">16.9</Value><Value for="TA55">16.0</Value><Value for="TA56">3.9</Value><Value for="TA57">11.4</Value><Value for="TA58">NaN</Value><Value for="TA59">12.2</Value><Value for="TA6">NaN</Value><Value for="TA60">18.4</Value><Value for="TA62">10.0</Value><Value for="TA63">18.2</Value><Value for="TA64">10.4</Value><Value for="TA65">11.8</Value><Value for="TA66">3.9</Value><Value for="TA67">NaN</Value><Value for="TA68">11.0</Value><Value for="TA69">6.7</Value><Value for="TA7">30.9</Value><Value for="TA70">4.1</Value><Value for="TA71">9.6</Value><Value for="TA72">9.5</Value><Value for="TA73">11.1</Value><Value for="TA74">16.0</Value><Value for="TA75">13.9</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">24.8</ComparisonValue><Property name="dc:title" value="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed. NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2367" name="Pacific" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2367&amp;id=13136&amp;norefer=true" ias:uid="13136" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Pacific population under 15" precision="1"><Value for="TA1">35.9</Value><Value for="TA10">NaN</Value><Value for="TA11">14.9</Value><Value for="TA12">8.6</Value><Value for="TA13">31.2</Value><Value for="TA15">30.3</Value><Value for="TA16">31.2</Value><Value for="TA17">19.2</Value><Value for="TA18">NaN</Value><Value for="TA19">29.3</Value><Value for="TA2">28.2</Value><Value for="TA20">26.9</Value><Value for="TA21">22.1</Value><Value for="TA22">33.3</Value><Value for="TA23">26.8</Value><Value for="TA24">31.7</Value><Value for="TA25">26.6</Value><Value for="TA26">15.2</Value><Value for="TA27">32.3</Value><Value for="TA28">36.1</Value><Value for="TA29">23.8</Value><Value for="TA3">21.5</Value><Value for="TA30">40.0</Value><Value for="TA31">34.3</Value><Value for="TA32">11.1</Value><Value for="TA33">23.2</Value><Value for="TA34">NaN</Value><Value for="TA35">5.1</Value><Value for="TA36">34.2</Value><Value for="TA37">21.8</Value><Value for="TA38">38.0</Value><Value for="TA39">19.7</Value><Value for="TA4">NaN</Value><Value for="TA40">26.4</Value><Value for="TA41">NaN</Value><Value for="TA42">37.3</Value><Value for="TA43">19.3</Value><Value for="TA44">40.5</Value><Value for="TA45">30.3</Value><Value for="TA46">38.4</Value><Value for="TA47">30.5</Value><Value for="TA48">30.9</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">7.7</Value><Value for="TA51">21.7</Value><Value for="TA52">23.5</Value><Value for="TA53">39.7</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">15.4</Value><Value for="TA6">NaN</Value><Value for="TA60">33.4</Value><Value for="TA62">5.2</Value><Value for="TA63">41.6</Value><Value for="TA64">11.3</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">45.5</Value><Value for="TA69">NaN</Value><Value for="TA7">49.9</Value><Value for="TA70">12.5</Value><Value for="TA71">18.2</Value><Value for="TA72">NaN</Value><Value for="TA73">17.2</Value><Value for="TA74">NaN</Value><Value for="TA75">23.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">43.4</ComparisonValue><Property name="dc:title" value="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed. NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2365" name="MELAA" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2365&amp;id=13134&amp;norefer=true" ias:uid="13134" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % MELAA population under 15" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">28.2</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">NaN</Value><Value for="TA24">11.1</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">11.1</Value><Value for="TA31">10.0</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">13.9</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">10.0</Value><Value for="TA46">30.6</Value><Value for="TA47">28.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">20.5</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">23.2</Value><Value for="TA70">16.1</Value><Value for="TA71">12.9</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">16.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">21.8</ComparisonValue><Property name="dc:title" value="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed. NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Middle Eastern, Latin American or African ethnicity" /><Property name="dc:description" value="Middle Eastern, Latin American or African ethnicity" /></Indicator><Indicator id="i2366" name="Other" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2366&amp;id=13135&amp;norefer=true" ias:uid="13135" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="One or more bedrooms needed- % Other ethnicity population under 15" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">4.3</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">2.0</Value><Value for="TA24">6.1</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">5.4</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">5.3</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">NaN</Value><Value for="TA46">11.9</Value><Value for="TA47">1.5</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">3.0</Value><Value for="TA6">NaN</Value><Value for="TA60">9.1</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">5.3</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">11.6</Value><Value for="TA70">NaN</Value><Value for="TA71">7.3</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">NaN</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">7.9</ComparisonValue><Property name="dc:title" value="Children under 15 years living in crowded households - one or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires one or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed. NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator></Theme><Theme id="Childrenunder15yearslivinginOvercrowdedHouseholds-Twoormorebedroomsneeded(CNOS)" ias:uid="1164" name="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2375" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2375&amp;id=13144&amp;norefer=true" ias:uid="13144" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % total stated population under 15" precision="1"><Value for="TA1">9.3</Value><Value for="TA10">NaN</Value><Value for="TA11">2.8</Value><Value for="TA12">2.7</Value><Value for="TA13">4.1</Value><Value for="TA15">2.9</Value><Value for="TA16">5.1</Value><Value for="TA17">1.3</Value><Value for="TA18">2.9</Value><Value for="TA19">5.2</Value><Value for="TA2">4.0</Value><Value for="TA20">6.4</Value><Value for="TA21">3.8</Value><Value for="TA22">4.3</Value><Value for="TA23">2.9</Value><Value for="TA24">5.1</Value><Value for="TA25">6.6</Value><Value for="TA26">10.7</Value><Value for="TA27">9.8</Value><Value for="TA28">7.2</Value><Value for="TA29">8.8</Value><Value for="TA3">4.4</Value><Value for="TA30">5.6</Value><Value for="TA31">3.9</Value><Value for="TA32">2.2</Value><Value for="TA33">1.9</Value><Value for="TA34">0.8</Value><Value for="TA35">2.4</Value><Value for="TA36">7.3</Value><Value for="TA37">3.2</Value><Value for="TA38">2.8</Value><Value for="TA39">1.7</Value><Value for="TA4">NaN</Value><Value for="TA40">2.4</Value><Value for="TA41">1.8</Value><Value for="TA42">4.3</Value><Value for="TA43">1.8</Value><Value for="TA44">7.9</Value><Value for="TA45">1.9</Value><Value for="TA46">5.2</Value><Value for="TA47">2.1</Value><Value for="TA48">3.4</Value><Value for="TA49">0.6</Value><Value for="TA5">NaN</Value><Value for="TA50">1.7</Value><Value for="TA51">1.3</Value><Value for="TA52">2.1</Value><Value for="TA53">2.3</Value><Value for="TA54">NaN</Value><Value for="TA55">1.4</Value><Value for="TA56">0.7</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">1.5</Value><Value for="TA6">NaN</Value><Value for="TA60">2.6</Value><Value for="TA62">0.8</Value><Value for="TA63">2.6</Value><Value for="TA64">0.9</Value><Value for="TA65">NaN</Value><Value for="TA66">0.5</Value><Value for="TA67">NaN</Value><Value for="TA68">1.9</Value><Value for="TA69">NaN</Value><Value for="TA7">8.1</Value><Value for="TA70">0.8</Value><Value for="TA71">1.0</Value><Value for="TA72">0.2</Value><Value for="TA73">0.9</Value><Value for="TA74">0.5</Value><Value for="TA75">1.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.9</ComparisonValue><Property name="dc:title" value="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Total number of Children under 5 years who answered the relevant questions used to calculate this data" /><Property name="dc:description" value="Total number of Children under 15 years who answered the relevant questions used to calculate this data" /></Indicator><Indicator id="i2369" name="Asian" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2369&amp;id=13138&amp;norefer=true" ias:uid="13138" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Asian population under 15" precision="1"><Value for="TA1">2.3</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">1.1</Value><Value for="TA15">5.3</Value><Value for="TA16">4.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">1.0</Value><Value for="TA20">11.8</Value><Value for="TA21">NaN</Value><Value for="TA22">9.7</Value><Value for="TA23">7.6</Value><Value for="TA24">5.8</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">7.5</Value><Value for="TA31">7.0</Value><Value for="TA32">NaN</Value><Value for="TA33">1.4</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">1.6</Value><Value for="TA41">NaN</Value><Value for="TA42">2.7</Value><Value for="TA43">1.6</Value><Value for="TA44">4.4</Value><Value for="TA45">NaN</Value><Value for="TA46">4.1</Value><Value for="TA47">3.9</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">4.0</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">4.9</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">5.4</Value><Value for="TA70">1.8</Value><Value for="TA71">3.2</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">5.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.0</ComparisonValue><Property name="dc:title" value="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2370" name="European" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2370&amp;id=13139&amp;norefer=true" ias:uid="13139" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % European population under 15" precision="1"><Value for="TA1">4.1</Value><Value for="TA10">NaN</Value><Value for="TA11">2.4</Value><Value for="TA12">1.5</Value><Value for="TA13">2.0</Value><Value for="TA15">1.2</Value><Value for="TA16">1.9</Value><Value for="TA17">0.6</Value><Value for="TA18">0.8</Value><Value for="TA19">2.1</Value><Value for="TA2">1.8</Value><Value for="TA20">2.1</Value><Value for="TA21">1.7</Value><Value for="TA22">1.5</Value><Value for="TA23">1.2</Value><Value for="TA24">2.2</Value><Value for="TA25">1.8</Value><Value for="TA26">6.3</Value><Value for="TA27">6.7</Value><Value for="TA28">2.6</Value><Value for="TA29">3.1</Value><Value for="TA3">2.7</Value><Value for="TA30">1.9</Value><Value for="TA31">2.0</Value><Value for="TA32">1.4</Value><Value for="TA33">1.1</Value><Value for="TA34">NaN</Value><Value for="TA35">1.7</Value><Value for="TA36">3.0</Value><Value for="TA37">1.9</Value><Value for="TA38">1.3</Value><Value for="TA39">1.0</Value><Value for="TA4">NaN</Value><Value for="TA40">1.3</Value><Value for="TA41">0.4</Value><Value for="TA42">2.6</Value><Value for="TA43">0.9</Value><Value for="TA44">2.9</Value><Value for="TA45">1.0</Value><Value for="TA46">2.3</Value><Value for="TA47">0.6</Value><Value for="TA48">1.7</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">0.6</Value><Value for="TA51">1.0</Value><Value for="TA52">1.1</Value><Value for="TA53">0.8</Value><Value for="TA54">NaN</Value><Value for="TA55">1.3</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">1.2</Value><Value for="TA6">NaN</Value><Value for="TA60">1.4</Value><Value for="TA62">0.5</Value><Value for="TA63">1.0</Value><Value for="TA64">0.7</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">0.8</Value><Value for="TA69">NaN</Value><Value for="TA7">2.3</Value><Value for="TA70">0.4</Value><Value for="TA71">0.7</Value><Value for="TA72">0.3</Value><Value for="TA73">0.6</Value><Value for="TA74">0.3</Value><Value for="TA75">1.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.6</ComparisonValue><Property name="dc:title" value="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2371" name="Maori" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2371&amp;id=13140&amp;norefer=true" ias:uid="13140" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Maori population under 15" precision="1"><Value for="TA1">13.3</Value><Value for="TA10">NaN</Value><Value for="TA11">4.6</Value><Value for="TA12">6.6</Value><Value for="TA13">8.8</Value><Value for="TA15">8.2</Value><Value for="TA16">10.2</Value><Value for="TA17">3.9</Value><Value for="TA18">7.1</Value><Value for="TA19">8.3</Value><Value for="TA2">7.7</Value><Value for="TA20">9.2</Value><Value for="TA21">7.0</Value><Value for="TA22">9.4</Value><Value for="TA23">6.1</Value><Value for="TA24">7.8</Value><Value for="TA25">10.5</Value><Value for="TA26">11.9</Value><Value for="TA27">11.1</Value><Value for="TA28">10.0</Value><Value for="TA29">10.7</Value><Value for="TA3">8.0</Value><Value for="TA30">10.3</Value><Value for="TA31">7.8</Value><Value for="TA32">5.2</Value><Value for="TA33">5.3</Value><Value for="TA34">NaN</Value><Value for="TA35">6.1</Value><Value for="TA36">11.1</Value><Value for="TA37">6.4</Value><Value for="TA38">4.3</Value><Value for="TA39">5.9</Value><Value for="TA4">NaN</Value><Value for="TA40">4.6</Value><Value for="TA41">4.2</Value><Value for="TA42">4.9</Value><Value for="TA43">4.5</Value><Value for="TA44">6.6</Value><Value for="TA45">2.6</Value><Value for="TA46">9.2</Value><Value for="TA47">4.4</Value><Value for="TA48">6.5</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">4.8</Value><Value for="TA51">3.0</Value><Value for="TA52">6.1</Value><Value for="TA53">5.3</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">2.6</Value><Value for="TA6">NaN</Value><Value for="TA60">5.4</Value><Value for="TA62">2.6</Value><Value for="TA63">6.7</Value><Value for="TA64">1.6</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">12.2</Value><Value for="TA70">NaN</Value><Value for="TA71">2.5</Value><Value for="TA72">NaN</Value><Value for="TA73">2.3</Value><Value for="TA74">1.4</Value><Value for="TA75">2.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">8.4</ComparisonValue><Property name="dc:title" value="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2374" name="Pacific" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2374&amp;id=13143&amp;norefer=true" ias:uid="13143" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Pacific population under 15" precision="1"><Value for="TA1">16.2</Value><Value for="TA10">NaN</Value><Value for="TA11">4.3</Value><Value for="TA12">NaN</Value><Value for="TA13">13.3</Value><Value for="TA15">10.6</Value><Value for="TA16">10.6</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">8.4</Value><Value for="TA2">8.4</Value><Value for="TA20">NaN</Value><Value for="TA21">3.9</Value><Value for="TA22">17.5</Value><Value for="TA23">9.5</Value><Value for="TA24">13.0</Value><Value for="TA25">1.8</Value><Value for="TA26">NaN</Value><Value for="TA27">25.8</Value><Value for="TA28">7.4</Value><Value for="TA29">NaN</Value><Value for="TA3">6.3</Value><Value for="TA30">14.1</Value><Value for="TA31">11.6</Value><Value for="TA32">5.6</Value><Value for="TA33">8.3</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">3.5</Value><Value for="TA38">7.0</Value><Value for="TA39">4.9</Value><Value for="TA4">NaN</Value><Value for="TA40">9.9</Value><Value for="TA41">NaN</Value><Value for="TA42">13.5</Value><Value for="TA43">7.8</Value><Value for="TA44">17.4</Value><Value for="TA45">10.6</Value><Value for="TA46">14.3</Value><Value for="TA47">10.9</Value><Value for="TA48">15.5</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">16.7</Value><Value for="TA52">9.8</Value><Value for="TA53">16.5</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">11.5</Value><Value for="TA6">NaN</Value><Value for="TA60">11.5</Value><Value for="TA62">NaN</Value><Value for="TA63">20.0</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">16.7</Value><Value for="TA69">NaN</Value><Value for="TA7">23.2</Value><Value for="TA70">NaN</Value><Value for="TA71">5.9</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">6.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">19.0</ComparisonValue><Property name="dc:title" value="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /><Property name="dc:description" value="Middle Eastern, Latin American or African ethnicity" /><Property name="dc:description" value="Middle Eastern, Latin American or African ethnicity" /></Indicator><Indicator id="i2372" name="MELAA" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2372&amp;id=13141&amp;norefer=true" ias:uid="13141" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % MELAA population under 15" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">NaN</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">NaN</Value><Value for="TA24">NaN</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">NaN</Value><Value for="TA46">5.6</Value><Value for="TA47">5.5</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">5.9</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">6.3</Value><Value for="TA70">NaN</Value><Value for="TA71">NaN</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">NaN</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.2</ComparisonValue><Property name="dc:title" value="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator><Indicator id="i2373" name="Other" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2373&amp;id=13142&amp;norefer=true" ias:uid="13142" ias:utime="2013-03-31 00:00:00+13:00" ias:full-name="Two or more bedrooms needed- % Other ethnicity population under 15" precision="1"><Value for="TA1">NaN</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">NaN</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">NaN</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">NaN</Value><Value for="TA20">NaN</Value><Value for="TA21">NaN</Value><Value for="TA22">NaN</Value><Value for="TA23">NaN</Value><Value for="TA24">NaN</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">NaN</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">NaN</Value><Value for="TA44">NaN</Value><Value for="TA45">NaN</Value><Value for="TA46">2.0</Value><Value for="TA47">NaN</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">NaN</Value><Value for="TA53">NaN</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">2.2</Value><Value for="TA62">NaN</Value><Value for="TA63">NaN</Value><Value for="TA64">NaN</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">2.5</Value><Value for="TA70">NaN</Value><Value for="TA71">NaN</Value><Value for="TA72">NaN</Value><Value for="TA73">NaN</Value><Value for="TA74">NaN</Value><Value for="TA75">NaN</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.8</ComparisonValue><Property name="dc:title" value="Children under 15 years living in severely crowded households - two or more bedrooms needed (CNOS)" /><Property name="dc:description" value="The number of Children under 15 years living in overcrowded conditions (by ethnicity) who live in a household which requires two or more bedrooms according to the Canadian National Occupancy Standard (CNOS). NOTE #1: Where the count was under five, values were suppressed.  NOTE #2: Ethnicity is reported as absolute rather than prioritised, therefore indivioduals eho indicated more than one ethnicity were counted under each of the ethnicities that they stated." /><Property name="dc:subject" value="household crowding" /><Property name="dc:subject.keyword" value="crowding, overcrowding, crowded houses" /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:date.available" value="15/02/2015" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:coverage.spatial" value="Territorial Authority" /><Property name="dc:coverage.temporal" value="5 yearly" /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="public" /><Property name="dc:source" value="Statistics New Zeland" /></Indicator></Theme></Theme></Theme><Theme id="503b6f58-eded-4a2a-b325-3a08bbae4ccb" ias:uid="1548" name="Transport" xmlns:ias="http://server.instantatlas.com/metadata"><Theme id="PercentageofcommutersusingtransportmodesasmainmeansoftraveltoworkonCensusday" ias:uid="1558" name="Percentage of commuters using transport modes as main means of travel to work on Census day" xmlns:ias="http://server.instantatlas.com/metadata"><Theme id="af586106-99ad-4fa0-8775-5ae469c07f9c" ias:uid="1562" name="Walking or jogging" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i3731" name="Total" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3731&amp;id=18854&amp;norefer=true" ias:uid="18854" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Total)" precision="1"><Value for="TA1">10.1</Value><Value for="TA10">NaN</Value><Value for="TA11">11.6</Value><Value for="TA12">11.3</Value><Value for="TA13">5.5</Value><Value for="TA15">9.9</Value><Value for="TA16">6.9</Value><Value for="TA17">6.0</Value><Value for="TA18">10.2</Value><Value for="TA19">9.4</Value><Value for="TA2">6.1</Value><Value for="TA20">11.7</Value><Value for="TA21">8.1</Value><Value for="TA22">5.6</Value><Value for="TA23">4.6</Value><Value for="TA24">5.9</Value><Value for="TA25">8.5</Value><Value for="TA26">9.1</Value><Value for="TA27">10.7</Value><Value for="TA28">7.1</Value><Value for="TA29">12.0</Value><Value for="TA3">9.1</Value><Value for="TA30">5.5</Value><Value for="TA31">6.0</Value><Value for="TA32">8.3</Value><Value for="TA33">7.7</Value><Value for="TA34">9.6</Value><Value for="TA35">14.3</Value><Value for="TA36">14.7</Value><Value for="TA37">7.4</Value><Value for="TA38">10.8</Value><Value for="TA39">7.0</Value><Value for="TA4">NaN</Value><Value for="TA40">8.9</Value><Value for="TA41">11.5</Value><Value for="TA42">8.7</Value><Value for="TA43">4.8</Value><Value for="TA44">3.5</Value><Value for="TA45">5.6</Value><Value for="TA46">4.8</Value><Value for="TA47">16.5</Value><Value for="TA48">7.3</Value><Value for="TA49">6.3</Value><Value for="TA5">NaN</Value><Value for="TA50">8.9</Value><Value for="TA51">8.8</Value><Value for="TA52">10.1</Value><Value for="TA53">10.4</Value><Value for="TA54">14.1</Value><Value for="TA55">14.8</Value><Value for="TA56">9.3</Value><Value for="TA57">18.2</Value><Value for="TA58">13.7</Value><Value for="TA59">4.2</Value><Value for="TA6">NaN</Value><Value for="TA60">5.6</Value><Value for="TA62">8.4</Value><Value for="TA63">8.4</Value><Value for="TA64">8.5</Value><Value for="TA65">28.8</Value><Value for="TA66">11.1</Value><Value for="TA67">21.7</Value><Value for="TA68">10.4</Value><Value for="TA69">12.7</Value><Value for="TA7">4.5</Value><Value for="TA70">16.2</Value><Value for="TA71">11.2</Value><Value for="TA72">10.6</Value><Value for="TA73">12.2</Value><Value for="TA74">10.6</Value><Value for="TA75">6.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">7.1</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3731" name="Total" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3731&amp;id=18855&amp;norefer=true" ias:uid="18855" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Total)" precision="1"><Value for="TA1">8.3</Value><Value for="TA10">NaN</Value><Value for="TA11">10.9</Value><Value for="TA12">9.3</Value><Value for="TA13">4.3</Value><Value for="TA15">8.6</Value><Value for="TA16">6.7</Value><Value for="TA17">4.9</Value><Value for="TA18">9.6</Value><Value for="TA19">7.4</Value><Value for="TA2">5.8</Value><Value for="TA20">10.3</Value><Value for="TA21">7.1</Value><Value for="TA22">4.6</Value><Value for="TA23">4.3</Value><Value for="TA24">5.1</Value><Value for="TA25">7.3</Value><Value for="TA26">9.1</Value><Value for="TA27">7.9</Value><Value for="TA28">6.7</Value><Value for="TA29">9.5</Value><Value for="TA3">8.3</Value><Value for="TA30">5.4</Value><Value for="TA31">5.8</Value><Value for="TA32">8.1</Value><Value for="TA33">7.1</Value><Value for="TA34">7.4</Value><Value for="TA35">11.7</Value><Value for="TA36">14.5</Value><Value for="TA37">7.0</Value><Value for="TA38">10.6</Value><Value for="TA39">5.9</Value><Value for="TA4">NaN</Value><Value for="TA40">9.3</Value><Value for="TA41">9.0</Value><Value for="TA42">8.2</Value><Value for="TA43">4.6</Value><Value for="TA44">3.6</Value><Value for="TA45">4.9</Value><Value for="TA46">4.8</Value><Value for="TA47">18.8</Value><Value for="TA48">6.9</Value><Value for="TA49">5.7</Value><Value for="TA5">NaN</Value><Value for="TA50">8.0</Value><Value for="TA51">8.1</Value><Value for="TA52">10.3</Value><Value for="TA53">9.5</Value><Value for="TA54">13.3</Value><Value for="TA55">12.8</Value><Value for="TA56">6.7</Value><Value for="TA57">15.9</Value><Value for="TA58">10.9</Value><Value for="TA59">4.0</Value><Value for="TA6">NaN</Value><Value for="TA60">5.7</Value><Value for="TA62">6.9</Value><Value for="TA63">7.6</Value><Value for="TA64">7.4</Value><Value for="TA65">25.9</Value><Value for="TA66">9.8</Value><Value for="TA67">18.1</Value><Value for="TA68">10.1</Value><Value for="TA69">10.8</Value><Value for="TA7">4.9</Value><Value for="TA70">14.3</Value><Value for="TA71">11.1</Value><Value for="TA72">9.5</Value><Value for="TA73">11.0</Value><Value for="TA74">8.6</Value><Value for="TA75">5.1</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">7.0</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3731" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3731&amp;id=18856&amp;norefer=true" ias:uid="18856" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Total)" precision="1"><Value for="TA1">7.6</Value><Value for="TA10">NaN</Value><Value for="TA11">10.9</Value><Value for="TA12">9.3</Value><Value for="TA13">3.6</Value><Value for="TA15">7.7</Value><Value for="TA16">6.6</Value><Value for="TA17">4.6</Value><Value for="TA18">8.3</Value><Value for="TA19">6.3</Value><Value for="TA2">5.4</Value><Value for="TA20">9.4</Value><Value for="TA21">6.7</Value><Value for="TA22">4.6</Value><Value for="TA23">4.2</Value><Value for="TA24">5.1</Value><Value for="TA25">6.9</Value><Value for="TA26">7.6</Value><Value for="TA27">7.3</Value><Value for="TA28">5.9</Value><Value for="TA29">7.4</Value><Value for="TA3">8.0</Value><Value for="TA30">5.5</Value><Value for="TA31">5.6</Value><Value for="TA32">6.4</Value><Value for="TA33">6.6</Value><Value for="TA34">7.9</Value><Value for="TA35">10.4</Value><Value for="TA36">12.4</Value><Value for="TA37">6.3</Value><Value for="TA38">9.1</Value><Value for="TA39">5.3</Value><Value for="TA4">NaN</Value><Value for="TA40">8.9</Value><Value for="TA41">9.2</Value><Value for="TA42">7.4</Value><Value for="TA43">5.0</Value><Value for="TA44">3.3</Value><Value for="TA45">4.4</Value><Value for="TA46">4.7</Value><Value for="TA47">21.0</Value><Value for="TA48">7.0</Value><Value for="TA49">5.4</Value><Value for="TA5">NaN</Value><Value for="TA50">6.8</Value><Value for="TA51">7.4</Value><Value for="TA52">9.6</Value><Value for="TA53">8.4</Value><Value for="TA54">11.6</Value><Value for="TA55">10.9</Value><Value for="TA56">8.3</Value><Value for="TA57">15.4</Value><Value for="TA58">9.1</Value><Value for="TA59">3.5</Value><Value for="TA6">NaN</Value><Value for="TA60">4.6</Value><Value for="TA62">5.4</Value><Value for="TA63">7.2</Value><Value for="TA64">7.3</Value><Value for="TA65">19.0</Value><Value for="TA66">8.3</Value><Value for="TA67">15.7</Value><Value for="TA68">9.0</Value><Value for="TA69">9.9</Value><Value for="TA7">5.1</Value><Value for="TA70">14.8</Value><Value for="TA71">11.4</Value><Value for="TA72">8.8</Value><Value for="TA73">8.7</Value><Value for="TA74">7.8</Value><Value for="TA75">5.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">6.8</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3732" name="Male" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3732&amp;id=18857&amp;norefer=true" ias:uid="18857" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Male)" precision="1"><Value for="TA1">8.8</Value><Value for="TA10">NaN</Value><Value for="TA11">9.1</Value><Value for="TA12">9.8</Value><Value for="TA13">4.7</Value><Value for="TA15">9.2</Value><Value for="TA16">5.8</Value><Value for="TA17">5.4</Value><Value for="TA18">9.1</Value><Value for="TA19">7.5</Value><Value for="TA2">4.9</Value><Value for="TA20">9.3</Value><Value for="TA21">5.9</Value><Value for="TA22">4.9</Value><Value for="TA23">3.5</Value><Value for="TA24">5.2</Value><Value for="TA25">5.8</Value><Value for="TA26">6.6</Value><Value for="TA27">10.2</Value><Value for="TA28">5.8</Value><Value for="TA29">10.5</Value><Value for="TA3">7.2</Value><Value for="TA30">4.6</Value><Value for="TA31">4.4</Value><Value for="TA32">7.5</Value><Value for="TA33">6.5</Value><Value for="TA34">7.8</Value><Value for="TA35">12.2</Value><Value for="TA36">14.7</Value><Value for="TA37">6.3</Value><Value for="TA38">9.4</Value><Value for="TA39">6.8</Value><Value for="TA4">NaN</Value><Value for="TA40">8.5</Value><Value for="TA41">9.3</Value><Value for="TA42">6.6</Value><Value for="TA43">3.6</Value><Value for="TA44">2.9</Value><Value for="TA45">4.8</Value><Value for="TA46">4.0</Value><Value for="TA47">15.2</Value><Value for="TA48">5.6</Value><Value for="TA49">5.4</Value><Value for="TA5">NaN</Value><Value for="TA50">6.9</Value><Value for="TA51">7.6</Value><Value for="TA52">7.9</Value><Value for="TA53">9.2</Value><Value for="TA54">12.5</Value><Value for="TA55">10.7</Value><Value for="TA56">7.3</Value><Value for="TA57">14.2</Value><Value for="TA58">12.2</Value><Value for="TA59">3.3</Value><Value for="TA6">NaN</Value><Value for="TA60">4.6</Value><Value for="TA62">9.5</Value><Value for="TA63">7.3</Value><Value for="TA64">6.6</Value><Value for="TA65">22.7</Value><Value for="TA66">8.8</Value><Value for="TA67">18.6</Value><Value for="TA68">7.5</Value><Value for="TA69">9.6</Value><Value for="TA7">3.9</Value><Value for="TA70">13.1</Value><Value for="TA71">9.7</Value><Value for="TA72">8.5</Value><Value for="TA73">11.1</Value><Value for="TA74">9.7</Value><Value for="TA75">4.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">6.1</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3732" name="Male" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3732&amp;id=18858&amp;norefer=true" ias:uid="18858" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Male)" precision="1"><Value for="TA1">7.2</Value><Value for="TA10">NaN</Value><Value for="TA11">8.2</Value><Value for="TA12">8.7</Value><Value for="TA13">3.7</Value><Value for="TA15">7.4</Value><Value for="TA16">5.4</Value><Value for="TA17">4.2</Value><Value for="TA18">8.5</Value><Value for="TA19">6.1</Value><Value for="TA2">4.5</Value><Value for="TA20">8.8</Value><Value for="TA21">5.3</Value><Value for="TA22">3.8</Value><Value for="TA23">3.2</Value><Value for="TA24">4.5</Value><Value for="TA25">5.5</Value><Value for="TA26">6.3</Value><Value for="TA27">7.0</Value><Value for="TA28">5.3</Value><Value for="TA29">8.0</Value><Value for="TA3">6.4</Value><Value for="TA30">4.2</Value><Value for="TA31">4.0</Value><Value for="TA32">6.6</Value><Value for="TA33">5.7</Value><Value for="TA34">6.9</Value><Value for="TA35">9.6</Value><Value for="TA36">14.5</Value><Value for="TA37">5.9</Value><Value for="TA38">9.3</Value><Value for="TA39">5.8</Value><Value for="TA4">NaN</Value><Value for="TA40">8.8</Value><Value for="TA41">7.6</Value><Value for="TA42">6.8</Value><Value for="TA43">4.0</Value><Value for="TA44">3.3</Value><Value for="TA45">4.4</Value><Value for="TA46">3.9</Value><Value for="TA47">17.2</Value><Value for="TA48">5.8</Value><Value for="TA49">4.8</Value><Value for="TA5">NaN</Value><Value for="TA50">5.7</Value><Value for="TA51">6.2</Value><Value for="TA52">8.3</Value><Value for="TA53">7.7</Value><Value for="TA54">11.2</Value><Value for="TA55">9.9</Value><Value for="TA56">5.4</Value><Value for="TA57">13.8</Value><Value for="TA58">9.6</Value><Value for="TA59">2.8</Value><Value for="TA6">NaN</Value><Value for="TA60">4.5</Value><Value for="TA62">7.5</Value><Value for="TA63">6.7</Value><Value for="TA64">5.4</Value><Value for="TA65">20.4</Value><Value for="TA66">8.5</Value><Value for="TA67">14.3</Value><Value for="TA68">7.6</Value><Value for="TA69">7.5</Value><Value for="TA7">4.1</Value><Value for="TA70">11.3</Value><Value for="TA71">9.3</Value><Value for="TA72">8.3</Value><Value for="TA73">9.9</Value><Value for="TA74">6.9</Value><Value for="TA75">3.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.8</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3732" name="Male" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3732&amp;id=18859&amp;norefer=true" ias:uid="18859" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Male)" precision="1"><Value for="TA1">6.8</Value><Value for="TA10">NaN</Value><Value for="TA11">8.1</Value><Value for="TA12">8.5</Value><Value for="TA13">3.3</Value><Value for="TA15">6.5</Value><Value for="TA16">5.4</Value><Value for="TA17">3.9</Value><Value for="TA18">7.5</Value><Value for="TA19">4.7</Value><Value for="TA2">4.2</Value><Value for="TA20">7.2</Value><Value for="TA21">5.1</Value><Value for="TA22">3.7</Value><Value for="TA23">3.1</Value><Value for="TA24">4.7</Value><Value for="TA25">5.4</Value><Value for="TA26">5.6</Value><Value for="TA27">5.6</Value><Value for="TA28">4.7</Value><Value for="TA29">7.1</Value><Value for="TA3">6.5</Value><Value for="TA30">4.3</Value><Value for="TA31">4.1</Value><Value for="TA32">5.2</Value><Value for="TA33">5.4</Value><Value for="TA34">7.4</Value><Value for="TA35">9.1</Value><Value for="TA36">12.8</Value><Value for="TA37">5.4</Value><Value for="TA38">8.1</Value><Value for="TA39">5.3</Value><Value for="TA4">NaN</Value><Value for="TA40">8.5</Value><Value for="TA41">7.4</Value><Value for="TA42">6.0</Value><Value for="TA43">4.1</Value><Value for="TA44">2.9</Value><Value for="TA45">4.0</Value><Value for="TA46">4.0</Value><Value for="TA47">19.5</Value><Value for="TA48">5.4</Value><Value for="TA49">4.9</Value><Value for="TA5">NaN</Value><Value for="TA50">5.1</Value><Value for="TA51">5.5</Value><Value for="TA52">7.8</Value><Value for="TA53">6.8</Value><Value for="TA54">10.7</Value><Value for="TA55">8.2</Value><Value for="TA56">5.7</Value><Value for="TA57">14.1</Value><Value for="TA58">8.5</Value><Value for="TA59">2.6</Value><Value for="TA6">NaN</Value><Value for="TA60">3.7</Value><Value for="TA62">5.5</Value><Value for="TA63">5.9</Value><Value for="TA64">5.6</Value><Value for="TA65">15.9</Value><Value for="TA66">6.2</Value><Value for="TA67">15.0</Value><Value for="TA68">7.1</Value><Value for="TA69">6.5</Value><Value for="TA7">4.5</Value><Value for="TA70">12.1</Value><Value for="TA71">10.2</Value><Value for="TA72">7.3</Value><Value for="TA73">7.8</Value><Value for="TA74">6.2</Value><Value for="TA75">4.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.9</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3733" name="Female" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3733&amp;id=18860&amp;norefer=true" ias:uid="18860" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Female)" precision="1"><Value for="TA1">11.7</Value><Value for="TA10">NaN</Value><Value for="TA11">14.9</Value><Value for="TA12">13.4</Value><Value for="TA13">6.4</Value><Value for="TA15">10.9</Value><Value for="TA16">8.2</Value><Value for="TA17">6.9</Value><Value for="TA18">12.0</Value><Value for="TA19">12.4</Value><Value for="TA2">7.6</Value><Value for="TA20">15.4</Value><Value for="TA21">10.9</Value><Value for="TA22">6.6</Value><Value for="TA23">6.0</Value><Value for="TA24">6.8</Value><Value for="TA25">11.8</Value><Value for="TA26">13.0</Value><Value for="TA27">11.3</Value><Value for="TA28">8.7</Value><Value for="TA29">14.4</Value><Value for="TA3">11.6</Value><Value for="TA30">6.6</Value><Value for="TA31">7.9</Value><Value for="TA32">9.3</Value><Value for="TA33">9.2</Value><Value for="TA34">11.9</Value><Value for="TA35">17.3</Value><Value for="TA36">14.7</Value><Value for="TA37">8.9</Value><Value for="TA38">12.8</Value><Value for="TA39">7.3</Value><Value for="TA4">NaN</Value><Value for="TA40">9.5</Value><Value for="TA41">14.8</Value><Value for="TA42">11.4</Value><Value for="TA43">6.4</Value><Value for="TA44">4.2</Value><Value for="TA45">6.7</Value><Value for="TA46">5.7</Value><Value for="TA47">18.0</Value><Value for="TA48">9.6</Value><Value for="TA49">7.4</Value><Value for="TA5">NaN</Value><Value for="TA50">11.2</Value><Value for="TA51">10.4</Value><Value for="TA52">12.9</Value><Value for="TA53">12.0</Value><Value for="TA54">16.1</Value><Value for="TA55">20.3</Value><Value for="TA56">12.1</Value><Value for="TA57">23.1</Value><Value for="TA58">16.0</Value><Value for="TA59">5.5</Value><Value for="TA6">NaN</Value><Value for="TA60">6.8</Value><Value for="TA62">6.8</Value><Value for="TA63">10.1</Value><Value for="TA64">11.3</Value><Value for="TA65">37.0</Value><Value for="TA66">14.9</Value><Value for="TA67">26.9</Value><Value for="TA68">14.7</Value><Value for="TA69">17.4</Value><Value for="TA7">5.2</Value><Value for="TA70">20.1</Value><Value for="TA71">12.9</Value><Value for="TA72">14.0</Value><Value for="TA73">14.0</Value><Value for="TA74">11.9</Value><Value for="TA75">8.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">8.4</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3733" name="Female" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3733&amp;id=18861&amp;norefer=true" ias:uid="18861" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Female)" precision="1"><Value for="TA1">9.6</Value><Value for="TA10">NaN</Value><Value for="TA11">14.5</Value><Value for="TA12">10.3</Value><Value for="TA13">5.2</Value><Value for="TA15">10.1</Value><Value for="TA16">8.2</Value><Value for="TA17">5.9</Value><Value for="TA18">10.7</Value><Value for="TA19">9.3</Value><Value for="TA2">7.4</Value><Value for="TA20">12.4</Value><Value for="TA21">9.4</Value><Value for="TA22">5.6</Value><Value for="TA23">5.8</Value><Value for="TA24">5.7</Value><Value for="TA25">9.5</Value><Value for="TA26">12.1</Value><Value for="TA27">8.9</Value><Value for="TA28">8.5</Value><Value for="TA29">11.6</Value><Value for="TA3">10.8</Value><Value for="TA30">6.9</Value><Value for="TA31">8.1</Value><Value for="TA32">9.9</Value><Value for="TA33">8.8</Value><Value for="TA34">8.0</Value><Value for="TA35">14.7</Value><Value for="TA36">14.5</Value><Value for="TA37">8.3</Value><Value for="TA38">12.3</Value><Value for="TA39">6.0</Value><Value for="TA4">NaN</Value><Value for="TA40">9.9</Value><Value for="TA41">11.0</Value><Value for="TA42">9.7</Value><Value for="TA43">5.2</Value><Value for="TA44">4.0</Value><Value for="TA45">5.4</Value><Value for="TA46">5.9</Value><Value for="TA47">20.5</Value><Value for="TA48">8.3</Value><Value for="TA49">6.6</Value><Value for="TA5">NaN</Value><Value for="TA50">11.0</Value><Value for="TA51">10.6</Value><Value for="TA52">12.7</Value><Value for="TA53">11.9</Value><Value for="TA54">15.3</Value><Value for="TA55">16.7</Value><Value for="TA56">8.6</Value><Value for="TA57">18.5</Value><Value for="TA58">12.9</Value><Value for="TA59">5.8</Value><Value for="TA6">NaN</Value><Value for="TA60">7.1</Value><Value for="TA62">6.1</Value><Value for="TA63">9.0</Value><Value for="TA64">10.2</Value><Value for="TA65">33.9</Value><Value for="TA66">11.8</Value><Value for="TA67">21.9</Value><Value for="TA68">13.5</Value><Value for="TA69">15.6</Value><Value for="TA7">5.8</Value><Value for="TA70">18.6</Value><Value for="TA71">13.1</Value><Value for="TA72">11.3</Value><Value for="TA73">12.5</Value><Value for="TA74">10.9</Value><Value for="TA75">6.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">8.4</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3733" name="Female" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3733&amp;id=18862&amp;norefer=true" ias:uid="18862" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Walking or jogging (Female)" precision="1"><Value for="TA1">8.5</Value><Value for="TA10">NaN</Value><Value for="TA11">14.2</Value><Value for="TA12">10.4</Value><Value for="TA13">3.9</Value><Value for="TA15">9.0</Value><Value for="TA16">7.8</Value><Value for="TA17">5.5</Value><Value for="TA18">9.5</Value><Value for="TA19">8.3</Value><Value for="TA2">6.8</Value><Value for="TA20">12.1</Value><Value for="TA21">8.7</Value><Value for="TA22">5.8</Value><Value for="TA23">5.5</Value><Value for="TA24">5.6</Value><Value for="TA25">8.4</Value><Value for="TA26">9.6</Value><Value for="TA27">9.1</Value><Value for="TA28">7.2</Value><Value for="TA29">7.8</Value><Value for="TA3">10.0</Value><Value for="TA30">6.8</Value><Value for="TA31">7.2</Value><Value for="TA32">7.9</Value><Value for="TA33">8.2</Value><Value for="TA34">8.5</Value><Value for="TA35">12.1</Value><Value for="TA36">11.7</Value><Value for="TA37">7.2</Value><Value for="TA38">10.5</Value><Value for="TA39">5.4</Value><Value for="TA4">NaN</Value><Value for="TA40">9.3</Value><Value for="TA41">11.6</Value><Value for="TA42">9.0</Value><Value for="TA43">6.0</Value><Value for="TA44">3.8</Value><Value for="TA45">4.8</Value><Value for="TA46">5.5</Value><Value for="TA47">22.6</Value><Value for="TA48">8.9</Value><Value for="TA49">5.9</Value><Value for="TA5">NaN</Value><Value for="TA50">9.0</Value><Value for="TA51">9.9</Value><Value for="TA52">11.7</Value><Value for="TA53">10.5</Value><Value for="TA54">12.8</Value><Value for="TA55">14.8</Value><Value for="TA56">11.6</Value><Value for="TA57">17.3</Value><Value for="TA58">9.8</Value><Value for="TA59">4.6</Value><Value for="TA6">NaN</Value><Value for="TA60">5.7</Value><Value for="TA62">5.4</Value><Value for="TA63">9.0</Value><Value for="TA64">9.7</Value><Value for="TA65">23.7</Value><Value for="TA66">11.3</Value><Value for="TA67">14.8</Value><Value for="TA68">11.5</Value><Value for="TA69">14.2</Value><Value for="TA7">5.8</Value><Value for="TA70">18.2</Value><Value for="TA71">12.7</Value><Value for="TA72">11.0</Value><Value for="TA73">10.0</Value><Value for="TA74">9.9</Value><Value for="TA75">6.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">8.0</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator></Theme><Theme id="36775f23-3ecd-4d1d-ad87-28680a58aa7a" ias:uid="1563" name="Cycling" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i3734" name="Total" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3734&amp;id=18863&amp;norefer=true" ias:uid="18863" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Cycling (Total)" precision="1"><Value for="TA1">1.4</Value><Value for="TA10">NaN</Value><Value for="TA11">3.6</Value><Value for="TA12">2.8</Value><Value for="TA13">1.4</Value><Value for="TA15">2.8</Value><Value for="TA16">4.9</Value><Value for="TA17">2.1</Value><Value for="TA18">1.7</Value><Value for="TA19">4.2</Value><Value for="TA2">1.8</Value><Value for="TA20">1.7</Value><Value for="TA21">2.6</Value><Value for="TA22">1.4</Value><Value for="TA23">3.5</Value><Value for="TA24">3.2</Value><Value for="TA25">4.5</Value><Value for="TA26">6.4</Value><Value for="TA27">2.4</Value><Value for="TA28">4.4</Value><Value for="TA29">2.8</Value><Value for="TA3">1.7</Value><Value for="TA30">4.7</Value><Value for="TA31">4.3</Value><Value for="TA32">1.4</Value><Value for="TA33">3.2</Value><Value for="TA34">1.8</Value><Value for="TA35">4.5</Value><Value for="TA36">4.6</Value><Value for="TA37">6.3</Value><Value for="TA38">3.2</Value><Value for="TA39">3.1</Value><Value for="TA4">NaN</Value><Value for="TA40">7.4</Value><Value for="TA41">2.7</Value><Value for="TA42">4.4</Value><Value for="TA43">2.3</Value><Value for="TA44">0.7</Value><Value for="TA45">2.5</Value><Value for="TA46">2.1</Value><Value for="TA47">2.6</Value><Value for="TA48">5.5</Value><Value for="TA49">3.0</Value><Value for="TA5">NaN</Value><Value for="TA50">2.9</Value><Value for="TA51">5.5</Value><Value for="TA52">7.6</Value><Value for="TA53">6.3</Value><Value for="TA54">3.5</Value><Value for="TA55">8.1</Value><Value for="TA56">3.5</Value><Value for="TA57">6.0</Value><Value for="TA58">2.0</Value><Value for="TA59">2.4</Value><Value for="TA6">NaN</Value><Value for="TA60">7.1</Value><Value for="TA62">3.5</Value><Value for="TA63">986.0</Value><Value for="TA64">5.0</Value><Value for="TA65">5.9</Value><Value for="TA66">3.5</Value><Value for="TA67">1.4</Value><Value for="TA68">3.1</Value><Value for="TA69">4.8</Value><Value for="TA7">1.2</Value><Value for="TA70">3.1</Value><Value for="TA71">2.9</Value><Value for="TA72">1.9</Value><Value for="TA73">2.2</Value><Value for="TA74">2.9</Value><Value for="TA75">3.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">3.1</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3734" name="Total" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3734&amp;id=18864&amp;norefer=true" ias:uid="18864" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Cycling (Total)" precision="1"><Value for="TA1">0.8</Value><Value for="TA10">NaN</Value><Value for="TA11">3.2</Value><Value for="TA12">1.6</Value><Value for="TA13">1.0</Value><Value for="TA15">2.0</Value><Value for="TA16">3.4</Value><Value for="TA17">1.4</Value><Value for="TA18">1.0</Value><Value for="TA19">2.6</Value><Value for="TA2">1.5</Value><Value for="TA20">0.9</Value><Value for="TA21">1.9</Value><Value for="TA22">1.0</Value><Value for="TA23">2.6</Value><Value for="TA24">2.3</Value><Value for="TA25">3.2</Value><Value for="TA26">3.8</Value><Value for="TA27">1.8</Value><Value for="TA28">3.7</Value><Value for="TA29">2.6</Value><Value for="TA3">1.1</Value><Value for="TA30">3.6</Value><Value for="TA31">4.0</Value><Value for="TA32">1.0</Value><Value for="TA33">2.7</Value><Value for="TA34">1.3</Value><Value for="TA35">3.4</Value><Value for="TA36">2.7</Value><Value for="TA37">4.3</Value><Value for="TA38">2.1</Value><Value for="TA39">2.3</Value><Value for="TA4">NaN</Value><Value for="TA40">5.8</Value><Value for="TA41">1.6</Value><Value for="TA42">2.9</Value><Value for="TA43">1.8</Value><Value for="TA44">0.6</Value><Value for="TA45">1.8</Value><Value for="TA46">1.6</Value><Value for="TA47">2.6</Value><Value for="TA48">3.7</Value><Value for="TA49">1.9</Value><Value for="TA5">NaN</Value><Value for="TA50">1.8</Value><Value for="TA51">5.5</Value><Value for="TA52">7.2</Value><Value for="TA53">5.0</Value><Value for="TA54">4.9</Value><Value for="TA55">4.4</Value><Value for="TA56">2.3</Value><Value for="TA57">4.4</Value><Value for="TA58">2.1</Value><Value for="TA59">2.0</Value><Value for="TA6">NaN</Value><Value for="TA60">6.5</Value><Value for="TA62">2.8</Value><Value for="TA63">4.1</Value><Value for="TA64">3.5</Value><Value for="TA65">4.1</Value><Value for="TA66">2.4</Value><Value for="TA67">1.4</Value><Value for="TA68">2.6</Value><Value for="TA69">3.7</Value><Value for="TA7">1.0</Value><Value for="TA70">2.5</Value><Value for="TA71">1.9</Value><Value for="TA72">1.2</Value><Value for="TA73">1.7</Value><Value for="TA74">2.1</Value><Value for="TA75">2.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">2.5</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3734" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3734&amp;id=18865&amp;norefer=true" ias:uid="18865" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Cycling (Total)" precision="1"><Value for="TA1">0.9</Value><Value for="TA10">NaN</Value><Value for="TA11">3.6</Value><Value for="TA12">1.6</Value><Value for="TA13">1.1</Value><Value for="TA15">2.2</Value><Value for="TA16">3.8</Value><Value for="TA17">1.5</Value><Value for="TA18">0.9</Value><Value for="TA19">2.5</Value><Value for="TA2">1.6</Value><Value for="TA20">1.3</Value><Value for="TA21">2.2</Value><Value for="TA22">1.0</Value><Value for="TA23">3.2</Value><Value for="TA24">3.2</Value><Value for="TA25">3.3</Value><Value for="TA26">3.3</Value><Value for="TA27">1.7</Value><Value for="TA28">3.7</Value><Value for="TA29">2.0</Value><Value for="TA3">1.0</Value><Value for="TA30">4.4</Value><Value for="TA31">3.6</Value><Value for="TA32">1.1</Value><Value for="TA33">3.3</Value><Value for="TA34">1.1</Value><Value for="TA35">2.7</Value><Value for="TA36">2.5</Value><Value for="TA37">4.0</Value><Value for="TA38">1.7</Value><Value for="TA39">1.8</Value><Value for="TA4">NaN</Value><Value for="TA40">5.9</Value><Value for="TA41">1.8</Value><Value for="TA42">2.4</Value><Value for="TA43">2.2</Value><Value for="TA44">0.7</Value><Value for="TA45">1.7</Value><Value for="TA46">2.2</Value><Value for="TA47">4.3</Value><Value for="TA48">3.6</Value><Value for="TA49">2.0</Value><Value for="TA5">NaN</Value><Value for="TA50">1.7</Value><Value for="TA51">6.1</Value><Value for="TA52">8.7</Value><Value for="TA53">5.0</Value><Value for="TA54">5.0</Value><Value for="TA55">4.2</Value><Value for="TA56">3.4</Value><Value for="TA57">4.2</Value><Value for="TA58">2.4</Value><Value for="TA59">1.8</Value><Value for="TA6">NaN</Value><Value for="TA60">7.0</Value><Value for="TA62">2.3</Value><Value for="TA63">3.8</Value><Value for="TA64">3.5</Value><Value for="TA65">5.7</Value><Value for="TA66">2.0</Value><Value for="TA67">1.4</Value><Value for="TA68">2.6</Value><Value for="TA69">4.9</Value><Value for="TA7">1.2</Value><Value for="TA70">4.2</Value><Value for="TA71">2.8</Value><Value for="TA72">1.4</Value><Value for="TA73">2.2</Value><Value for="TA74">2.0</Value><Value for="TA75">2.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">2.9</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3735" name="Male" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3735&amp;id=18866&amp;norefer=true" ias:uid="18866" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Cycling (Male)" precision="1"><Value for="TA1">1.9</Value><Value for="TA10">NaN</Value><Value for="TA11">4.3</Value><Value for="TA12">3.9</Value><Value for="TA13">1.9</Value><Value for="TA15">3.8</Value><Value for="TA16">7.3</Value><Value for="TA17">2.9</Value><Value for="TA18">2.8</Value><Value for="TA19">6.0</Value><Value for="TA2">2.6</Value><Value for="TA20">2.1</Value><Value for="TA21">3.5</Value><Value for="TA22">1.8</Value><Value for="TA23">4.9</Value><Value for="TA24">4.6</Value><Value for="TA25">6.0</Value><Value for="TA26">9.3</Value><Value for="TA27">3.1</Value><Value for="TA28">6.0</Value><Value for="TA29">4.0</Value><Value for="TA3">2.4</Value><Value for="TA30">6.4</Value><Value for="TA31">6.3</Value><Value for="TA32">1.9</Value><Value for="TA33">4.7</Value><Value for="TA34">2.4</Value><Value for="TA35">6.2</Value><Value for="TA36">6.0</Value><Value for="TA37">9.1</Value><Value for="TA38">4.8</Value><Value for="TA39">4.1</Value><Value for="TA4">NaN</Value><Value for="TA40">9.9</Value><Value for="TA41">3.3</Value><Value for="TA42">5.8</Value><Value for="TA43">3.0</Value><Value for="TA44">1.1</Value><Value for="TA45">3.6</Value><Value for="TA46">3.1</Value><Value for="TA47">3.9</Value><Value for="TA48">7.2</Value><Value for="TA49">3.8</Value><Value for="TA5">NaN</Value><Value for="TA50">3.3</Value><Value for="TA51">6.8</Value><Value for="TA52">9.9</Value><Value for="TA53">8.1</Value><Value for="TA54">5.2</Value><Value for="TA55">9.1</Value><Value for="TA56">4.6</Value><Value for="TA57">7.3</Value><Value for="TA58">2.6</Value><Value for="TA59">2.9</Value><Value for="TA6">NaN</Value><Value for="TA60">9.4</Value><Value for="TA62">4.7</Value><Value for="TA63">6.7</Value><Value for="TA64">6.5</Value><Value for="TA65">5.7</Value><Value for="TA66">4.3</Value><Value for="TA67">2.3</Value><Value for="TA68">4.3</Value><Value for="TA69">6.1</Value><Value for="TA7">1.8</Value><Value for="TA70">3.9</Value><Value for="TA71">4.2</Value><Value for="TA72">2.7</Value><Value for="TA73">2.5</Value><Value for="TA74">3.8</Value><Value for="TA75">5.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.3</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3735" name="Male" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3735&amp;id=18867&amp;norefer=true" ias:uid="18867" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Cycling (Male)" precision="1"><Value for="TA1">1.1</Value><Value for="TA10">NaN</Value><Value for="TA11">3.8</Value><Value for="TA12">2.2</Value><Value for="TA13">1.2</Value><Value for="TA15">2.5</Value><Value for="TA16">5.0</Value><Value for="TA17">1.9</Value><Value for="TA18">1.6</Value><Value for="TA19">3.9</Value><Value for="TA2">2.1</Value><Value for="TA20">1.1</Value><Value for="TA21">2.7</Value><Value for="TA22">1.4</Value><Value for="TA23">3.7</Value><Value for="TA24">3.3</Value><Value for="TA25">4.2</Value><Value for="TA26">5.1</Value><Value for="TA27">2.1</Value><Value for="TA28">5.0</Value><Value for="TA29">3.6</Value><Value for="TA3">1.7</Value><Value for="TA30">5.2</Value><Value for="TA31">5.7</Value><Value for="TA32">1.1</Value><Value for="TA33">4.0</Value><Value for="TA34">1.7</Value><Value for="TA35">4.8</Value><Value for="TA36">3.7</Value><Value for="TA37">6.2</Value><Value for="TA38">2.8</Value><Value for="TA39">3.1</Value><Value for="TA4">NaN</Value><Value for="TA40">7.9</Value><Value for="TA41">2.3</Value><Value for="TA42">4.2</Value><Value for="TA43">2.4</Value><Value for="TA44">1.0</Value><Value for="TA45">2.7</Value><Value for="TA46">2.4</Value><Value for="TA47">3.9</Value><Value for="TA48">5.1</Value><Value for="TA49">2.7</Value><Value for="TA5">NaN</Value><Value for="TA50">2.1</Value><Value for="TA51">6.6</Value><Value for="TA52">8.9</Value><Value for="TA53">5.8</Value><Value for="TA54">5.0</Value><Value for="TA55">5.1</Value><Value for="TA56">2.9</Value><Value for="TA57">5.5</Value><Value for="TA58">2.0</Value><Value for="TA59">2.5</Value><Value for="TA6">NaN</Value><Value for="TA60">8.3</Value><Value for="TA62">3.6</Value><Value for="TA63">5.2</Value><Value for="TA64">4.7</Value><Value for="TA65">5.1</Value><Value for="TA66">2.4</Value><Value for="TA67">2.4</Value><Value for="TA68">3.5</Value><Value for="TA69">4.3</Value><Value for="TA7">1.5</Value><Value for="TA70">2.9</Value><Value for="TA71">2.6</Value><Value for="TA72">1.6</Value><Value for="TA73">1.8</Value><Value for="TA74">2.9</Value><Value for="TA75">3.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">3.4</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3735" name="Male" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3735&amp;id=18868&amp;norefer=true" ias:uid="18868" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Cycling (Male)" precision="1"><Value for="TA1">1.2</Value><Value for="TA10">NaN</Value><Value for="TA11">4.1</Value><Value for="TA12">2.1</Value><Value for="TA13">1.5</Value><Value for="TA15">3.0</Value><Value for="TA16">5.5</Value><Value for="TA17">1.9</Value><Value for="TA18">1.5</Value><Value for="TA19">3.8</Value><Value for="TA2">2.3</Value><Value for="TA20">1.5</Value><Value for="TA21">2.8</Value><Value for="TA22">1.3</Value><Value for="TA23">4.2</Value><Value for="TA24">4.4</Value><Value for="TA25">4.2</Value><Value for="TA26">4.3</Value><Value for="TA27">2.2</Value><Value for="TA28">4.9</Value><Value for="TA29">2.7</Value><Value for="TA3">1.4</Value><Value for="TA30">6.0</Value><Value for="TA31">5.1</Value><Value for="TA32">1.4</Value><Value for="TA33">4.5</Value><Value for="TA34">1.3</Value><Value for="TA35">3.6</Value><Value for="TA36">3.3</Value><Value for="TA37">5.8</Value><Value for="TA38">2.3</Value><Value for="TA39">2.6</Value><Value for="TA4">NaN</Value><Value for="TA40">8.0</Value><Value for="TA41">2.2</Value><Value for="TA42">3.3</Value><Value for="TA43">2.8</Value><Value for="TA44">1.2</Value><Value for="TA45">2.4</Value><Value for="TA46">3.3</Value><Value for="TA47">6.1</Value><Value for="TA48">5.2</Value><Value for="TA49">2.5</Value><Value for="TA5">NaN</Value><Value for="TA50">1.7</Value><Value for="TA51">6.9</Value><Value for="TA52">10.5</Value><Value for="TA53">5.8</Value><Value for="TA54">5.6</Value><Value for="TA55">4.7</Value><Value for="TA56">4.4</Value><Value for="TA57">4.6</Value><Value for="TA58">2.1</Value><Value for="TA59">2.1</Value><Value for="TA6">NaN</Value><Value for="TA60">8.7</Value><Value for="TA62">2.8</Value><Value for="TA63">4.5</Value><Value for="TA64">4.8</Value><Value for="TA65">5.7</Value><Value for="TA66">2.1</Value><Value for="TA67">2.5</Value><Value for="TA68">3.3</Value><Value for="TA69">5.5</Value><Value for="TA7">1.8</Value><Value for="TA70">4.7</Value><Value for="TA71">3.8</Value><Value for="TA72">2.1</Value><Value for="TA73">2.2</Value><Value for="TA74">2.8</Value><Value for="TA75">3.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">3.8</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3736" name="Female" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3736&amp;id=18869&amp;norefer=true" ias:uid="18869" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Cycling (Female)" precision="1"><Value for="TA1">0.6</Value><Value for="TA10">NaN</Value><Value for="TA11">2.6</Value><Value for="TA12">1.1</Value><Value for="TA13">0.7</Value><Value for="TA15">1.3</Value><Value for="TA16">2.1</Value><Value for="TA17">1.0</Value><Value for="TA18">0.0</Value><Value for="TA19">1.4</Value><Value for="TA2">0.7</Value><Value for="TA20">0.8</Value><Value for="TA21">1.4</Value><Value for="TA22">0.7</Value><Value for="TA23">1.7</Value><Value for="TA24">1.5</Value><Value for="TA25">2.5</Value><Value for="TA26">2.2</Value><Value for="TA27">1.6</Value><Value for="TA28">2.6</Value><Value for="TA29">1.4</Value><Value for="TA3">0.8</Value><Value for="TA30">2.4</Value><Value for="TA31">1.9</Value><Value for="TA32">0.6</Value><Value for="TA33">1.2</Value><Value for="TA34">0.8</Value><Value for="TA35">2.2</Value><Value for="TA36">2.6</Value><Value for="TA37">2.7</Value><Value for="TA38">1.1</Value><Value for="TA39">1.7</Value><Value for="TA4">NaN</Value><Value for="TA40">4.4</Value><Value for="TA41">1.6</Value><Value for="TA42">2.5</Value><Value for="TA43">1.4</Value><Value for="TA44">0.2</Value><Value for="TA45">1.0</Value><Value for="TA46">0.9</Value><Value for="TA47">1.1</Value><Value for="TA48">3.1</Value><Value for="TA49">2.3</Value><Value for="TA5">NaN</Value><Value for="TA50">2.3</Value><Value for="TA51">3.7</Value><Value for="TA52">4.7</Value><Value for="TA53">3.8</Value><Value for="TA54">1.3</Value><Value for="TA55">6.8</Value><Value for="TA56">2.3</Value><Value for="TA57">4.1</Value><Value for="TA58">1.1</Value><Value for="TA59">1.7</Value><Value for="TA6">NaN</Value><Value for="TA60">4.3</Value><Value for="TA62">1.9</Value><Value for="TA63">3.1</Value><Value for="TA64">2.8</Value><Value for="TA65">6.8</Value><Value for="TA66">1.9</Value><Value for="TA67">0.0</Value><Value for="TA68">1.5</Value><Value for="TA69">3.0</Value><Value for="TA7">0.4</Value><Value for="TA70">2.2</Value><Value for="TA71">1.3</Value><Value for="TA72">0.7</Value><Value for="TA73">1.6</Value><Value for="TA74">1.5</Value><Value for="TA75">1.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.6</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3736" name="Female" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3736&amp;id=18870&amp;norefer=true" ias:uid="18870" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Cycling (Female)" precision="1"><Value for="TA1">0.4</Value><Value for="TA10">NaN</Value><Value for="TA11">2.5</Value><Value for="TA12">0.8</Value><Value for="TA13">0.6</Value><Value for="TA15">1.2</Value><Value for="TA16">1.5</Value><Value for="TA17">0.7</Value><Value for="TA18">0.3</Value><Value for="TA19">0.9</Value><Value for="TA2">0.7</Value><Value for="TA20">0.7</Value><Value for="TA21">0.8</Value><Value for="TA22">0.5</Value><Value for="TA23">1.3</Value><Value for="TA24">1.2</Value><Value for="TA25">1.9</Value><Value for="TA26">1.8</Value><Value for="TA27">1.4</Value><Value for="TA28">2.2</Value><Value for="TA29">1.3</Value><Value for="TA3">0.3</Value><Value for="TA30">1.7</Value><Value for="TA31">2.0</Value><Value for="TA32">0.7</Value><Value for="TA33">1.1</Value><Value for="TA34">0.7</Value><Value for="TA35">1.4</Value><Value for="TA36">1.1</Value><Value for="TA37">2.1</Value><Value for="TA38">1.1</Value><Value for="TA39">1.2</Value><Value for="TA4">NaN</Value><Value for="TA40">3.3</Value><Value for="TA41">0.7</Value><Value for="TA42">1.3</Value><Value for="TA43">1.0</Value><Value for="TA44">0.2</Value><Value for="TA45">0.7</Value><Value for="TA46">0.6</Value><Value for="TA47">1.1</Value><Value for="TA48">2.0</Value><Value for="TA49">0.8</Value><Value for="TA5">NaN</Value><Value for="TA50">1.4</Value><Value for="TA51">4.0</Value><Value for="TA52">5.1</Value><Value for="TA53">4.0</Value><Value for="TA54">4.9</Value><Value for="TA55">3.3</Value><Value for="TA56">1.4</Value><Value for="TA57">3.0</Value><Value for="TA58">2.2</Value><Value for="TA59">1.4</Value><Value for="TA6">NaN</Value><Value for="TA60">4.2</Value><Value for="TA62">1.7</Value><Value for="TA63">2.6</Value><Value for="TA64">1.8</Value><Value for="TA65">2.7</Value><Value for="TA66">2.4</Value><Value for="TA67">0.0</Value><Value for="TA68">1.5</Value><Value for="TA69">2.7</Value><Value for="TA7">0.4</Value><Value for="TA70">1.9</Value><Value for="TA71">1.1</Value><Value for="TA72">0.6</Value><Value for="TA73">1.5</Value><Value for="TA74">0.9</Value><Value for="TA75">1.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.4</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3736" name="Female" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3736&amp;id=18871&amp;norefer=true" ias:uid="18871" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Cycling (Female)" precision="1"><Value for="TA1">0.5</Value><Value for="TA10">NaN</Value><Value for="TA11">2.9</Value><Value for="TA12">1.1</Value><Value for="TA13">0.6</Value><Value for="TA15">1.1</Value><Value for="TA16">1.9</Value><Value for="TA17">1.0</Value><Value for="TA18">0.3</Value><Value for="TA19">1.1</Value><Value for="TA2">0.9</Value><Value for="TA20">1.0</Value><Value for="TA21">1.4</Value><Value for="TA22">0.5</Value><Value for="TA23">2.0</Value><Value for="TA24">1.8</Value><Value for="TA25">2.2</Value><Value for="TA26">2.2</Value><Value for="TA27">1.1</Value><Value for="TA28">2.2</Value><Value for="TA29">1.1</Value><Value for="TA3">0.5</Value><Value for="TA30">2.4</Value><Value for="TA31">2.0</Value><Value for="TA32">0.8</Value><Value for="TA33">1.8</Value><Value for="TA34">0.9</Value><Value for="TA35">1.5</Value><Value for="TA36">1.3</Value><Value for="TA37">1.8</Value><Value for="TA38">1.0</Value><Value for="TA39">0.8</Value><Value for="TA4">NaN</Value><Value for="TA40">3.6</Value><Value for="TA41">1.2</Value><Value for="TA42">1.5</Value><Value for="TA43">1.6</Value><Value for="TA44">0.3</Value><Value for="TA45">0.7</Value><Value for="TA46">1.0</Value><Value for="TA47">2.3</Value><Value for="TA48">1.7</Value><Value for="TA49">1.7</Value><Value for="TA5">NaN</Value><Value for="TA50">1.5</Value><Value for="TA51">4.9</Value><Value for="TA52">6.7</Value><Value for="TA53">3.9</Value><Value for="TA54">4.3</Value><Value for="TA55">3.6</Value><Value for="TA56">2.4</Value><Value for="TA57">3.6</Value><Value for="TA58">2.6</Value><Value for="TA59">1.4</Value><Value for="TA6">NaN</Value><Value for="TA60">5.0</Value><Value for="TA62">1.6</Value><Value for="TA63">2.8</Value><Value for="TA64">1.8</Value><Value for="TA65">5.8</Value><Value for="TA66">2.3</Value><Value for="TA67">0.0</Value><Value for="TA68">1.9</Value><Value for="TA69">4.1</Value><Value for="TA7">0.6</Value><Value for="TA70">3.5</Value><Value for="TA71">1.6</Value><Value for="TA72">0.6</Value><Value for="TA73">2.3</Value><Value for="TA74">1.1</Value><Value for="TA75">1.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">1.7</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator></Theme><Theme id="35b2da40-be2a-4734-a7ca-6eedf31471d0" ias:uid="1561" name="Car, truck or van" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i3728" name="Total" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3728&amp;id=18845&amp;norefer=true" ias:uid="18845" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Total)" precision="1"><Value for="TA1">85.3</Value><Value for="TA10">NaN</Value><Value for="TA11">82.1</Value><Value for="TA12">81.2</Value><Value for="TA13">88.6</Value><Value for="TA15">81.8</Value><Value for="TA16">84.3</Value><Value for="TA17">88.2</Value><Value for="TA18">77.0</Value><Value for="TA19">81.9</Value><Value for="TA2">89.6</Value><Value for="TA20">80.1</Value><Value for="TA21">85.9</Value><Value for="TA22">90.1</Value><Value for="TA23">89.5</Value><Value for="TA24">87.8</Value><Value for="TA25">83.9</Value><Value for="TA26">81.2</Value><Value for="TA27">82.9</Value><Value for="TA28">84.8</Value><Value for="TA29">80.3</Value><Value for="TA3">83.0</Value><Value for="TA30">87.0</Value><Value for="TA31">87.2</Value><Value for="TA32">85.6</Value><Value for="TA33">85.3</Value><Value for="TA34">83.3</Value><Value for="TA35">74.1</Value><Value for="TA36">76.7</Value><Value for="TA37">82.5</Value><Value for="TA38">81.0</Value><Value for="TA39">86.2</Value><Value for="TA4">NaN</Value><Value for="TA40">79.9</Value><Value for="TA41">78.7</Value><Value for="TA42">83.5</Value><Value for="TA43">81.6</Value><Value for="TA44">77.3</Value><Value for="TA45">77.9</Value><Value for="TA46">74.8</Value><Value for="TA47">59.1</Value><Value for="TA48">82.0</Value><Value for="TA49">80.9</Value><Value for="TA5">NaN</Value><Value for="TA50">72.9</Value><Value for="TA51">82.3</Value><Value for="TA52">79.1</Value><Value for="TA53">79.9</Value><Value for="TA54">78.7</Value><Value for="TA55">72.6</Value><Value for="TA56">84.8</Value><Value for="TA57">73.1</Value><Value for="TA58">79.2</Value><Value for="TA59">90.9</Value><Value for="TA6">NaN</Value><Value for="TA60">81.0</Value><Value for="TA62">84.6</Value><Value for="TA63">82.3</Value><Value for="TA64">83.6</Value><Value for="TA65">62.7</Value><Value for="TA66">80.4</Value><Value for="TA67">69.6</Value><Value for="TA68">83.0</Value><Value for="TA69">79.2</Value><Value for="TA7">85.6</Value><Value for="TA70">77.6</Value><Value for="TA71">80.4</Value><Value for="TA72">83.2</Value><Value for="TA73">78.3</Value><Value for="TA74">83.9</Value><Value for="TA75">86.9</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">82.3</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3728" name="Total" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3728&amp;id=18846&amp;norefer=true" ias:uid="18846" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Total)" precision="1"><Value for="TA1">88.0</Value><Value for="TA10">NaN</Value><Value for="TA11">83.5</Value><Value for="TA12">83.8</Value><Value for="TA13">90.5</Value><Value for="TA15">83.8</Value><Value for="TA16">86.3</Value><Value for="TA17">90.2</Value><Value for="TA18">78.1</Value><Value for="TA19">85.2</Value><Value for="TA2">90.2</Value><Value for="TA20">82.0</Value><Value for="TA21">87.7</Value><Value for="TA22">91.5</Value><Value for="TA23">90.4</Value><Value for="TA24">89.2</Value><Value for="TA25">86.1</Value><Value for="TA26">84.9</Value><Value for="TA27">86.7</Value><Value for="TA28">86.3</Value><Value for="TA29">81.8</Value><Value for="TA3">84.8</Value><Value for="TA30">88.4</Value><Value for="TA31">87.9</Value><Value for="TA32">85.9</Value><Value for="TA33">86.9</Value><Value for="TA34">85.6</Value><Value for="TA35">77.2</Value><Value for="TA36">77.7</Value><Value for="TA37">85.7</Value><Value for="TA38">82.3</Value><Value for="TA39">87.5</Value><Value for="TA4">NaN</Value><Value for="TA40">81.1</Value><Value for="TA41">81.3</Value><Value for="TA42">85.4</Value><Value for="TA43">79.8</Value><Value for="TA44">79.6</Value><Value for="TA45">78.8</Value><Value for="TA46">75.0</Value><Value for="TA47">55.4</Value><Value for="TA48">84.2</Value><Value for="TA49">81.3</Value><Value for="TA5">NaN</Value><Value for="TA50">73.4</Value><Value for="TA51">83.4</Value><Value for="TA52">79.6</Value><Value for="TA53">83.2</Value><Value for="TA54">78.4</Value><Value for="TA55">78.7</Value><Value for="TA56">88.6</Value><Value for="TA57">77.1</Value><Value for="TA58">81.7</Value><Value for="TA59">91.6</Value><Value for="TA6">NaN</Value><Value for="TA60">80.8</Value><Value for="TA62">86.6</Value><Value for="TA63">84.2</Value><Value for="TA64">86.5</Value><Value for="TA65">67.5</Value><Value for="TA66">81.7</Value><Value for="TA67">73.6</Value><Value for="TA68">84.4</Value><Value for="TA69">83.5</Value><Value for="TA7">85.3</Value><Value for="TA70">80.7</Value><Value for="TA71">82.0</Value><Value for="TA72">84.2</Value><Value for="TA73">79.9</Value><Value for="TA74">87.5</Value><Value for="TA75">90.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">83.0</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3728" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3728&amp;id=18847&amp;norefer=true" ias:uid="18847" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Total)" precision="1"><Value for="TA1">87.6</Value><Value for="TA10">NaN</Value><Value for="TA11">82.9</Value><Value for="TA12">83.9</Value><Value for="TA13">90.6</Value><Value for="TA15">84.3</Value><Value for="TA16">84.7</Value><Value for="TA17">89.7</Value><Value for="TA18">77.6</Value><Value for="TA19">84.7</Value><Value for="TA2">89.8</Value><Value for="TA20">81.6</Value><Value for="TA21">86.9</Value><Value for="TA22">91.4</Value><Value for="TA23">88.6</Value><Value for="TA24">87.3</Value><Value for="TA25">86.1</Value><Value for="TA26">87.6</Value><Value for="TA27">86.6</Value><Value for="TA28">86.9</Value><Value for="TA29">84.3</Value><Value for="TA3">84.6</Value><Value for="TA30">87.5</Value><Value for="TA31">87.8</Value><Value for="TA32">87.2</Value><Value for="TA33">86.6</Value><Value for="TA34">85.7</Value><Value for="TA35">78.2</Value><Value for="TA36">79.7</Value><Value for="TA37">86.7</Value><Value for="TA38">84.0</Value><Value for="TA39">88.4</Value><Value for="TA4">NaN</Value><Value for="TA40">80.5</Value><Value for="TA41">81.0</Value><Value for="TA42">85.7</Value><Value for="TA43">77.5</Value><Value for="TA44">78.5</Value><Value for="TA45">78.0</Value><Value for="TA46">72.3</Value><Value for="TA47">50.8</Value><Value for="TA48">83.6</Value><Value for="TA49">80.2</Value><Value for="TA5">NaN</Value><Value for="TA50">72.5</Value><Value for="TA51">83.2</Value><Value for="TA52">77.6</Value><Value for="TA53">84.0</Value><Value for="TA54">80.7</Value><Value for="TA55">80.3</Value><Value for="TA56">85.5</Value><Value for="TA57">75.6</Value><Value for="TA58">82.6</Value><Value for="TA59">91.7</Value><Value for="TA6">NaN</Value><Value for="TA60">82.4</Value><Value for="TA62">87.7</Value><Value for="TA63">82.9</Value><Value for="TA64">86.1</Value><Value for="TA65">71.4</Value><Value for="TA66">81.9</Value><Value for="TA67">74.3</Value><Value for="TA68">84.0</Value><Value for="TA69">83.2</Value><Value for="TA7">82.7</Value><Value for="TA70">77.2</Value><Value for="TA71">80.6</Value><Value for="TA72">84.3</Value><Value for="TA73">77.8</Value><Value for="TA74">87.6</Value><Value for="TA75">89.9</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">81.7</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3729" name="Male" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3729&amp;id=18848&amp;norefer=true" ias:uid="18848" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Male)" precision="1"><Value for="TA1">85.0</Value><Value for="TA10">NaN</Value><Value for="TA11">82.9</Value><Value for="TA12">79.9</Value><Value for="TA13">87.5</Value><Value for="TA15">79.3</Value><Value for="TA16">83.0</Value><Value for="TA17">86.6</Value><Value for="TA18">73.0</Value><Value for="TA19">80.1</Value><Value for="TA2">89.3</Value><Value for="TA20">79.5</Value><Value for="TA21">85.8</Value><Value for="TA22">89.6</Value><Value for="TA23">88.5</Value><Value for="TA24">86.5</Value><Value for="TA25">83.7</Value><Value for="TA26">79.0</Value><Value for="TA27">81.0</Value><Value for="TA28">83.2</Value><Value for="TA29">78.9</Value><Value for="TA3">81.8</Value><Value for="TA30">85.4</Value><Value for="TA31">86.3</Value><Value for="TA32">83.4</Value><Value for="TA33">83.7</Value><Value for="TA34">82.5</Value><Value for="TA35">71.4</Value><Value for="TA36">74.2</Value><Value for="TA37">79.8</Value><Value for="TA38">78.8</Value><Value for="TA39">84.2</Value><Value for="TA4">NaN</Value><Value for="TA40">77.4</Value><Value for="TA41">77.1</Value><Value for="TA42">83.1</Value><Value for="TA43">82.8</Value><Value for="TA44">80.2</Value><Value for="TA45">78.6</Value><Value for="TA46">76.9</Value><Value for="TA47">60.7</Value><Value for="TA48">80.6</Value><Value for="TA49">80.7</Value><Value for="TA5">NaN</Value><Value for="TA50">74.8</Value><Value for="TA51">81.2</Value><Value for="TA52">78.3</Value><Value for="TA53">77.9</Value><Value for="TA54">77.1</Value><Value for="TA55">73.8</Value><Value for="TA56">85.2</Value><Value for="TA57">74.4</Value><Value for="TA58">77.3</Value><Value for="TA59">90.8</Value><Value for="TA6">NaN</Value><Value for="TA60">80.5</Value><Value for="TA62">81.7</Value><Value for="TA63">80.4</Value><Value for="TA64">83.4</Value><Value for="TA65">67.7</Value><Value for="TA66">79.2</Value><Value for="TA67">67.4</Value><Value for="TA68">83.6</Value><Value for="TA69">80.1</Value><Value for="TA7">87.0</Value><Value for="TA70">79.6</Value><Value for="TA71">81.1</Value><Value for="TA72">83.0</Value><Value for="TA73">77.3</Value><Value for="TA74">82.8</Value><Value for="TA75">86.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">82.5</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3729" name="Male" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3729&amp;id=18849&amp;norefer=true" ias:uid="18849" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Male)" precision="1"><Value for="TA1">87.9</Value><Value for="TA10">NaN</Value><Value for="TA11">85.2</Value><Value for="TA12">81.9</Value><Value for="TA13">89.5</Value><Value for="TA15">82.2</Value><Value for="TA16">86.4</Value><Value for="TA17">89.0</Value><Value for="TA18">73.8</Value><Value for="TA19">83.4</Value><Value for="TA2">90.3</Value><Value for="TA20">81.1</Value><Value for="TA21">87.4</Value><Value for="TA22">91.1</Value><Value for="TA23">90.2</Value><Value for="TA24">88.5</Value><Value for="TA25">85.1</Value><Value for="TA26">84.9</Value><Value for="TA27">85.5</Value><Value for="TA28">85.2</Value><Value for="TA29">79.8</Value><Value for="TA3">83.9</Value><Value for="TA30">87.5</Value><Value for="TA31">87.7</Value><Value for="TA32">85.0</Value><Value for="TA33">86.0</Value><Value for="TA34">83.5</Value><Value for="TA35">75.1</Value><Value for="TA36">74.6</Value><Value for="TA37">84.1</Value><Value for="TA38">80.6</Value><Value for="TA39">85.4</Value><Value for="TA4">NaN</Value><Value for="TA40">79.2</Value><Value for="TA41">78.4</Value><Value for="TA42">84.3</Value><Value for="TA43">80.4</Value><Value for="TA44">81.3</Value><Value for="TA45">79.5</Value><Value for="TA46">77.3</Value><Value for="TA47">57.5</Value><Value for="TA48">82.8</Value><Value for="TA49">81.0</Value><Value for="TA5">NaN</Value><Value for="TA50">74.8</Value><Value for="TA51">83.3</Value><Value for="TA52">79.2</Value><Value for="TA53">83.4</Value><Value for="TA54">79.3</Value><Value for="TA55">79.5</Value><Value for="TA56">88.4</Value><Value for="TA57">77.2</Value><Value for="TA58">81.0</Value><Value for="TA59">92.0</Value><Value for="TA6">NaN</Value><Value for="TA60">81.2</Value><Value for="TA62">84.3</Value><Value for="TA63">82.8</Value><Value for="TA64">86.8</Value><Value for="TA65">71.0</Value><Value for="TA66">80.9</Value><Value for="TA67">71.4</Value><Value for="TA68">85.0</Value><Value for="TA69">85.9</Value><Value for="TA7">87.2</Value><Value for="TA70">83.2</Value><Value for="TA71">83.9</Value><Value for="TA72">83.4</Value><Value for="TA73">78.2</Value><Value for="TA74">87.6</Value><Value for="TA75">90.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">83.7</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3729" name="Male" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3729&amp;id=18850&amp;norefer=true" ias:uid="18850" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Male)" precision="1"><Value for="TA1">86.9</Value><Value for="TA10">NaN</Value><Value for="TA11">84.3</Value><Value for="TA12">82.0</Value><Value for="TA13">88.9</Value><Value for="TA15">81.9</Value><Value for="TA16">84.3</Value><Value for="TA17">88.4</Value><Value for="TA18">72.9</Value><Value for="TA19">82.1</Value><Value for="TA2">89.4</Value><Value for="TA20">80.4</Value><Value for="TA21">86.0</Value><Value for="TA22">90.8</Value><Value for="TA23">88.2</Value><Value for="TA24">86.1</Value><Value for="TA25">84.9</Value><Value for="TA26">87.4</Value><Value for="TA27">84.9</Value><Value for="TA28">85.5</Value><Value for="TA29">80.4</Value><Value for="TA3">83.5</Value><Value for="TA30">86.1</Value><Value for="TA31">87.5</Value><Value for="TA32">85.0</Value><Value for="TA33">85.7</Value><Value for="TA34">83.8</Value><Value for="TA35">74.9</Value><Value for="TA36">76.6</Value><Value for="TA37">84.4</Value><Value for="TA38">81.7</Value><Value for="TA39">85.8</Value><Value for="TA4">NaN</Value><Value for="TA40">78.6</Value><Value for="TA41">78.3</Value><Value for="TA42">84.5</Value><Value for="TA43">77.5</Value><Value for="TA44">79.5</Value><Value for="TA45">78.3</Value><Value for="TA46">74.0</Value><Value for="TA47">51.5</Value><Value for="TA48">82.5</Value><Value for="TA49">78.9</Value><Value for="TA5">NaN</Value><Value for="TA50">71.5</Value><Value for="TA51">83.1</Value><Value for="TA52">76.7</Value><Value for="TA53">83.9</Value><Value for="TA54">80.0</Value><Value for="TA55">81.3</Value><Value for="TA56">86.3</Value><Value for="TA57">75.1</Value><Value for="TA58">81.5</Value><Value for="TA59">91.5</Value><Value for="TA6">NaN</Value><Value for="TA60">81.8</Value><Value for="TA62">86.2</Value><Value for="TA63">81.1</Value><Value for="TA64">85.8</Value><Value for="TA65">72.8</Value><Value for="TA66">81.2</Value><Value for="TA67">70.0</Value><Value for="TA68">83.7</Value><Value for="TA69">85.0</Value><Value for="TA7">83.7</Value><Value for="TA70">79.5</Value><Value for="TA71">81.1</Value><Value for="TA72">83.2</Value><Value for="TA73">74.7</Value><Value for="TA74">87.3</Value><Value for="TA75">89.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">81.7</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3730" name="Female" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3730&amp;id=18851&amp;norefer=true" ias:uid="18851" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Female)" precision="1"><Value for="TA1">85.7</Value><Value for="TA10">NaN</Value><Value for="TA11">80.9</Value><Value for="TA12">83.0</Value><Value for="TA13">90.2</Value><Value for="TA15">85.2</Value><Value for="TA16">85.8</Value><Value for="TA17">90.4</Value><Value for="TA18">83.3</Value><Value for="TA19">84.5</Value><Value for="TA2">89.9</Value><Value for="TA20">81.0</Value><Value for="TA21">86.3</Value><Value for="TA22">91.1</Value><Value for="TA23">90.7</Value><Value for="TA24">89.4</Value><Value for="TA25">84.2</Value><Value for="TA26">83.5</Value><Value for="TA27">84.9</Value><Value for="TA28">87.0</Value><Value for="TA29">81.6</Value><Value for="TA3">84.6</Value><Value for="TA30">89.1</Value><Value for="TA31">88.2</Value><Value for="TA32">88.6</Value><Value for="TA33">87.2</Value><Value for="TA34">85.1</Value><Value for="TA35">77.6</Value><Value for="TA36">80.2</Value><Value for="TA37">86.1</Value><Value for="TA38">84.3</Value><Value for="TA39">88.9</Value><Value for="TA4">NaN</Value><Value for="TA40">82.8</Value><Value for="TA41">80.9</Value><Value for="TA42">84.1</Value><Value for="TA43">80.2</Value><Value for="TA44">73.8</Value><Value for="TA45">77.0</Value><Value for="TA46">72.1</Value><Value for="TA47">57.3</Value><Value for="TA48">83.8</Value><Value for="TA49">81.2</Value><Value for="TA5">NaN</Value><Value for="TA50">70.5</Value><Value for="TA51">83.9</Value><Value for="TA52">80.1</Value><Value for="TA53">82.5</Value><Value for="TA54">79.4</Value><Value for="TA55">71.3</Value><Value for="TA56">84.0</Value><Value for="TA57">71.5</Value><Value for="TA58">80.7</Value><Value for="TA59">91.0</Value><Value for="TA6">NaN</Value><Value for="TA60">81.5</Value><Value for="TA62">88.9</Value><Value for="TA63">85.1</Value><Value for="TA64">83.9</Value><Value for="TA65">54.9</Value><Value for="TA66">82.0</Value><Value for="TA67">73.1</Value><Value for="TA68">82.2</Value><Value for="TA69">78.0</Value><Value for="TA7">84.0</Value><Value for="TA70">74.9</Value><Value for="TA71">79.5</Value><Value for="TA72">83.6</Value><Value for="TA73">80.1</Value><Value for="TA74">85.4</Value><Value for="TA75">87.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">82.1</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3730" name="Female" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3730&amp;id=18852&amp;norefer=true" ias:uid="18852" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Female)" precision="1"><Value for="TA1">88.2</Value><Value for="TA10">NaN</Value><Value for="TA11">81.5</Value><Value for="TA12">86.1</Value><Value for="TA13">91.9</Value><Value for="TA15">85.9</Value><Value for="TA16">86.2</Value><Value for="TA17">91.7</Value><Value for="TA18">83.9</Value><Value for="TA19">87.4</Value><Value for="TA2">90.1</Value><Value for="TA20">83.4</Value><Value for="TA21">88.0</Value><Value for="TA22">92.2</Value><Value for="TA23">90.6</Value><Value for="TA24">90.1</Value><Value for="TA25">87.5</Value><Value for="TA26">85.5</Value><Value for="TA27">87.7</Value><Value for="TA28">87.6</Value><Value for="TA29">84.4</Value><Value for="TA3">86.3</Value><Value for="TA30">89.7</Value><Value for="TA31">88.2</Value><Value for="TA32">87.5</Value><Value for="TA33">88.0</Value><Value for="TA34">88.8</Value><Value for="TA35">80.2</Value><Value for="TA36">82.1</Value><Value for="TA37">87.7</Value><Value for="TA38">84.6</Value><Value for="TA39">90.5</Value><Value for="TA4">NaN</Value><Value for="TA40">83.4</Value><Value for="TA41">85.4</Value><Value for="TA42">86.6</Value><Value for="TA43">79.3</Value><Value for="TA44">77.6</Value><Value for="TA45">77.8</Value><Value for="TA46">72.1</Value><Value for="TA47">53.0</Value><Value for="TA48">86.1</Value><Value for="TA49">82.3</Value><Value for="TA5">NaN</Value><Value for="TA50">71.4</Value><Value for="TA51">83.5</Value><Value for="TA52">80.1</Value><Value for="TA53">83.0</Value><Value for="TA54">77.3</Value><Value for="TA55">77.8</Value><Value for="TA56">88.9</Value><Value for="TA57">76.8</Value><Value for="TA58">82.5</Value><Value for="TA59">91.1</Value><Value for="TA6">NaN</Value><Value for="TA60">80.4</Value><Value for="TA62">89.7</Value><Value for="TA63">86.3</Value><Value for="TA64">86.0</Value><Value for="TA65">62.3</Value><Value for="TA66">82.4</Value><Value for="TA67">75.0</Value><Value for="TA68">83.4</Value><Value for="TA69">80.2</Value><Value for="TA7">83.1</Value><Value for="TA70">77.2</Value><Value for="TA71">79.9</Value><Value for="TA72">85.7</Value><Value for="TA73">82.3</Value><Value for="TA74">87.1</Value><Value for="TA75">90.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">82.1</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3730" name="Female" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3730&amp;id=18853&amp;norefer=true" ias:uid="18853" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Car, truck or van (Female)" precision="1"><Value for="TA1">88.3</Value><Value for="TA10">NaN</Value><Value for="TA11">81.4</Value><Value for="TA12">86.4</Value><Value for="TA13">92.7</Value><Value for="TA15">87.2</Value><Value for="TA16">85.1</Value><Value for="TA17">91.3</Value><Value for="TA18">83.8</Value><Value for="TA19">88.0</Value><Value for="TA2">90.2</Value><Value for="TA20">83.1</Value><Value for="TA21">88.1</Value><Value for="TA22">92.3</Value><Value for="TA23">89.0</Value><Value for="TA24">88.6</Value><Value for="TA25">87.6</Value><Value for="TA26">87.0</Value><Value for="TA27">88.9</Value><Value for="TA28">88.6</Value><Value for="TA29">88.9</Value><Value for="TA3">86.1</Value><Value for="TA30">89.1</Value><Value for="TA31">88.3</Value><Value for="TA32">89.8</Value><Value for="TA33">87.8</Value><Value for="TA34">88.7</Value><Value for="TA35">82.3</Value><Value for="TA36">84.2</Value><Value for="TA37">89.3</Value><Value for="TA38">86.5</Value><Value for="TA39">91.3</Value><Value for="TA4">NaN</Value><Value for="TA40">82.8</Value><Value for="TA41">84.4</Value><Value for="TA42">86.9</Value><Value for="TA43">77.6</Value><Value for="TA44">77.3</Value><Value for="TA45">77.7</Value><Value for="TA46">70.3</Value><Value for="TA47">50.1</Value><Value for="TA48">85.0</Value><Value for="TA49">81.8</Value><Value for="TA5">NaN</Value><Value for="TA50">74.2</Value><Value for="TA51">83.3</Value><Value for="TA52">78.6</Value><Value for="TA53">84.1</Value><Value for="TA54">81.4</Value><Value for="TA55">78.9</Value><Value for="TA56">84.5</Value><Value for="TA57">76.3</Value><Value for="TA58">84.3</Value><Value for="TA59">92.2</Value><Value for="TA6">NaN</Value><Value for="TA60">83.1</Value><Value for="TA62">89.6</Value><Value for="TA63">85.5</Value><Value for="TA64">86.5</Value><Value for="TA65">68.6</Value><Value for="TA66">82.8</Value><Value for="TA67">81.5</Value><Value for="TA68">84.3</Value><Value for="TA69">80.9</Value><Value for="TA7">81.6</Value><Value for="TA70">74.5</Value><Value for="TA71">79.9</Value><Value for="TA72">85.9</Value><Value for="TA73">81.9</Value><Value for="TA74">87.3</Value><Value for="TA75">90.1</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">81.6</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator></Theme><Theme id="a9c9c18f-1270-4923-b5f7-75b3380101ab" ias:uid="1559" name="Active Transport" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i3722" name="Total" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3722&amp;id=18827&amp;norefer=true" ias:uid="18827" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Active transport (Total)" precision="1"><Value for="TA1">11.4</Value><Value for="TA10">NaN</Value><Value for="TA11">15.1</Value><Value for="TA12">14.1</Value><Value for="TA13">6.9</Value><Value for="TA15">12.7</Value><Value for="TA16">11.8</Value><Value for="TA17">8.1</Value><Value for="TA18">11.9</Value><Value for="TA19">13.6</Value><Value for="TA2">7.9</Value><Value for="TA20">13.3</Value><Value for="TA21">10.7</Value><Value for="TA22">7.0</Value><Value for="TA23">8.1</Value><Value for="TA24">9.1</Value><Value for="TA25">12.9</Value><Value for="TA26">15.5</Value><Value for="TA27">13.1</Value><Value for="TA28">11.5</Value><Value for="TA29">14.8</Value><Value for="TA3">10.8</Value><Value for="TA30">10.2</Value><Value for="TA31">10.3</Value><Value for="TA32">9.7</Value><Value for="TA33">10.9</Value><Value for="TA34">11.4</Value><Value for="TA35">18.8</Value><Value for="TA36">19.3</Value><Value for="TA37">13.7</Value><Value for="TA38">14.0</Value><Value for="TA39">10.1</Value><Value for="TA4">NaN</Value><Value for="TA40">16.3</Value><Value for="TA41">14.2</Value><Value for="TA42">13.1</Value><Value for="TA43">7.2</Value><Value for="TA44">4.2</Value><Value for="TA45">8.1</Value><Value for="TA46">6.9</Value><Value for="TA47">19.1</Value><Value for="TA48">12.7</Value><Value for="TA49">9.3</Value><Value for="TA5">NaN</Value><Value for="TA50">11.7</Value><Value for="TA51">14.3</Value><Value for="TA52">17.7</Value><Value for="TA53">16.7</Value><Value for="TA54">17.6</Value><Value for="TA55">22.9</Value><Value for="TA56">12.8</Value><Value for="TA57">24.2</Value><Value for="TA58">15.7</Value><Value for="TA59">6.7</Value><Value for="TA6">NaN</Value><Value for="TA60">12.7</Value><Value for="TA62">11.9</Value><Value for="TA63">13.6</Value><Value for="TA64">13.5</Value><Value for="TA65">34.7</Value><Value for="TA66">14.6</Value><Value for="TA67">23.2</Value><Value for="TA68">13.6</Value><Value for="TA69">17.6</Value><Value for="TA7">5.7</Value><Value for="TA70">19.3</Value><Value for="TA71">14.0</Value><Value for="TA72">12.6</Value><Value for="TA73">14.4</Value><Value for="TA74">13.5</Value><Value for="TA75">10.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">10.2</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3722" name="Total" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3722&amp;id=18828&amp;norefer=true" ias:uid="18828" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Active transport (Total)" precision="1"><Value for="TA1">9.1</Value><Value for="TA10">NaN</Value><Value for="TA11">14.2</Value><Value for="TA12">11.0</Value><Value for="TA13">5.3</Value><Value for="TA15">10.6</Value><Value for="TA16">10.1</Value><Value for="TA17">6.3</Value><Value for="TA18">10.6</Value><Value for="TA19">10.1</Value><Value for="TA2">7.3</Value><Value for="TA20">11.2</Value><Value for="TA21">9.0</Value><Value for="TA22">5.6</Value><Value for="TA23">7.0</Value><Value for="TA24">7.4</Value><Value for="TA25">10.4</Value><Value for="TA26">12.9</Value><Value for="TA27">9.6</Value><Value for="TA28">10.5</Value><Value for="TA29">12.2</Value><Value for="TA3">9.4</Value><Value for="TA30">9.0</Value><Value for="TA31">9.8</Value><Value for="TA32">9.1</Value><Value for="TA33">9.8</Value><Value for="TA34">8.7</Value><Value for="TA35">15.1</Value><Value for="TA36">17.1</Value><Value for="TA37">11.3</Value><Value for="TA38">12.7</Value><Value for="TA39">8.2</Value><Value for="TA4">NaN</Value><Value for="TA40">15.1</Value><Value for="TA41">10.6</Value><Value for="TA42">11.1</Value><Value for="TA43">6.4</Value><Value for="TA44">4.3</Value><Value for="TA45">6.7</Value><Value for="TA46">6.4</Value><Value for="TA47">21.3</Value><Value for="TA48">10.6</Value><Value for="TA49">7.5</Value><Value for="TA5">NaN</Value><Value for="TA50">9.8</Value><Value for="TA51">13.6</Value><Value for="TA52">17.5</Value><Value for="TA53">14.5</Value><Value for="TA54">18.2</Value><Value for="TA55">17.2</Value><Value for="TA56">9.0</Value><Value for="TA57">20.2</Value><Value for="TA58">13.0</Value><Value for="TA59">6.1</Value><Value for="TA6">NaN</Value><Value for="TA60">12.2</Value><Value for="TA62">9.7</Value><Value for="TA63">11.8</Value><Value for="TA64">10.9</Value><Value for="TA65">30.0</Value><Value for="TA66">12.2</Value><Value for="TA67">19.4</Value><Value for="TA68">12.7</Value><Value for="TA69">14.5</Value><Value for="TA7">5.9</Value><Value for="TA70">16.8</Value><Value for="TA71">12.9</Value><Value for="TA72">10.8</Value><Value for="TA73">12.6</Value><Value for="TA74">10.6</Value><Value for="TA75">7.4</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">9.5</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3722" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3722&amp;id=18829&amp;norefer=true" ias:uid="18829" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Active transport (Total)" precision="1"><Value for="TA1">8.5</Value><Value for="TA10">NaN</Value><Value for="TA11">14.5</Value><Value for="TA12">10.9</Value><Value for="TA13">4.6</Value><Value for="TA15">9.8</Value><Value for="TA16">10.4</Value><Value for="TA17">6.2</Value><Value for="TA18">9.1</Value><Value for="TA19">8.9</Value><Value for="TA2">7.1</Value><Value for="TA20">10.6</Value><Value for="TA21">8.9</Value><Value for="TA22">5.6</Value><Value for="TA23">7.4</Value><Value for="TA24">8.3</Value><Value for="TA25">10.1</Value><Value for="TA26">10.9</Value><Value for="TA27">9.0</Value><Value for="TA28">9.6</Value><Value for="TA29">9.4</Value><Value for="TA3">9.0</Value><Value for="TA30">9.8</Value><Value for="TA31">9.2</Value><Value for="TA32">7.5</Value><Value for="TA33">9.9</Value><Value for="TA34">9.0</Value><Value for="TA35">13.0</Value><Value for="TA36">14.9</Value><Value for="TA37">10.2</Value><Value for="TA38">10.8</Value><Value for="TA39">7.1</Value><Value for="TA4">NaN</Value><Value for="TA40">14.8</Value><Value for="TA41">10.9</Value><Value for="TA42">9.8</Value><Value for="TA43">7.3</Value><Value for="TA44">4.0</Value><Value for="TA45">6.0</Value><Value for="TA46">6.9</Value><Value for="TA47">25.3</Value><Value for="TA48">10.6</Value><Value for="TA49">7.3</Value><Value for="TA5">NaN</Value><Value for="TA50">8.4</Value><Value for="TA51">13.4</Value><Value for="TA52">18.3</Value><Value for="TA53">13.4</Value><Value for="TA54">16.6</Value><Value for="TA55">15.1</Value><Value for="TA56">11.7</Value><Value for="TA57">19.6</Value><Value for="TA58">11.5</Value><Value for="TA59">5.3</Value><Value for="TA6">NaN</Value><Value for="TA60">11.6</Value><Value for="TA62">7.7</Value><Value for="TA63">11.0</Value><Value for="TA64">10.8</Value><Value for="TA65">24.7</Value><Value for="TA66">10.3</Value><Value for="TA67">17.1</Value><Value for="TA68">11.6</Value><Value for="TA69">14.8</Value><Value for="TA7">6.3</Value><Value for="TA70">19.0</Value><Value for="TA71">14.2</Value><Value for="TA72">10.3</Value><Value for="TA73">10.9</Value><Value for="TA74">9.8</Value><Value for="TA75">7.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">9.7</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3723" name="Male" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3723&amp;id=18830&amp;norefer=true" ias:uid="18830" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Active transport (Male)" precision="1"><Value for="TA1">10.7</Value><Value for="TA10">NaN</Value><Value for="TA11">13.3</Value><Value for="TA12">13.8</Value><Value for="TA13">6.7</Value><Value for="TA15">13.0</Value><Value for="TA16">13.1</Value><Value for="TA17">8.2</Value><Value for="TA18">11.9</Value><Value for="TA19">13.6</Value><Value for="TA2">7.5</Value><Value for="TA20">11.4</Value><Value for="TA21">9.4</Value><Value for="TA22">6.7</Value><Value for="TA23">8.4</Value><Value for="TA24">9.8</Value><Value for="TA25">11.8</Value><Value for="TA26">15.9</Value><Value for="TA27">13.3</Value><Value for="TA28">11.8</Value><Value for="TA29">14.4</Value><Value for="TA3">9.6</Value><Value for="TA30">11.0</Value><Value for="TA31">10.7</Value><Value for="TA32">9.4</Value><Value for="TA33">11.3</Value><Value for="TA34">10.3</Value><Value for="TA35">18.4</Value><Value for="TA36">20.7</Value><Value for="TA37">15.3</Value><Value for="TA38">14.2</Value><Value for="TA39">10.8</Value><Value for="TA4">NaN</Value><Value for="TA40">18.3</Value><Value for="TA41">12.6</Value><Value for="TA42">12.4</Value><Value for="TA43">6.6</Value><Value for="TA44">4.1</Value><Value for="TA45">8.4</Value><Value for="TA46">7.2</Value><Value for="TA47">19.1</Value><Value for="TA48">12.8</Value><Value for="TA49">9.2</Value><Value for="TA5">NaN</Value><Value for="TA50">10.2</Value><Value for="TA51">14.4</Value><Value for="TA52">17.8</Value><Value for="TA53">17.3</Value><Value for="TA54">17.7</Value><Value for="TA55">19.8</Value><Value for="TA56">11.9</Value><Value for="TA57">21.5</Value><Value for="TA58">14.8</Value><Value for="TA59">6.2</Value><Value for="TA6">NaN</Value><Value for="TA60">13.9</Value><Value for="TA62">14.2</Value><Value for="TA63">14.0</Value><Value for="TA64">13.1</Value><Value for="TA65">28.4</Value><Value for="TA66">13.0</Value><Value for="TA67">20.9</Value><Value for="TA68">11.8</Value><Value for="TA69">15.7</Value><Value for="TA7">5.6</Value><Value for="TA70">17.0</Value><Value for="TA71">13.9</Value><Value for="TA72">11.2</Value><Value for="TA73">13.6</Value><Value for="TA74">13.6</Value><Value for="TA75">10.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">10.4</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3723" name="Male" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3723&amp;id=18831&amp;norefer=true" ias:uid="18831" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Active transport (Male)" precision="1"><Value for="TA1">8.3</Value><Value for="TA10">NaN</Value><Value for="TA11">11.9</Value><Value for="TA12">10.9</Value><Value for="TA13">5.0</Value><Value for="TA15">10.0</Value><Value for="TA16">10.4</Value><Value for="TA17">6.1</Value><Value for="TA18">10.1</Value><Value for="TA19">10.0</Value><Value for="TA2">6.7</Value><Value for="TA20">9.8</Value><Value for="TA21">8.0</Value><Value for="TA22">5.3</Value><Value for="TA23">6.9</Value><Value for="TA24">7.8</Value><Value for="TA25">9.7</Value><Value for="TA26">11.4</Value><Value for="TA27">9.0</Value><Value for="TA28">10.3</Value><Value for="TA29">11.6</Value><Value for="TA3">8.1</Value><Value for="TA30">9.4</Value><Value for="TA31">9.7</Value><Value for="TA32">7.7</Value><Value for="TA33">9.7</Value><Value for="TA34">8.6</Value><Value for="TA35">14.4</Value><Value for="TA36">18.2</Value><Value for="TA37">12.1</Value><Value for="TA38">12.1</Value><Value for="TA39">8.9</Value><Value for="TA4">NaN</Value><Value for="TA40">16.7</Value><Value for="TA41">9.9</Value><Value for="TA42">11.1</Value><Value for="TA43">6.4</Value><Value for="TA44">4.3</Value><Value for="TA45">7.1</Value><Value for="TA46">6.2</Value><Value for="TA47">21.1</Value><Value for="TA48">10.9</Value><Value for="TA49">7.4</Value><Value for="TA5">NaN</Value><Value for="TA50">7.8</Value><Value for="TA51">12.8</Value><Value for="TA52">17.2</Value><Value for="TA53">13.5</Value><Value for="TA54">16.1</Value><Value for="TA55">15.0</Value><Value for="TA56">8.2</Value><Value for="TA57">19.2</Value><Value for="TA58">11.6</Value><Value for="TA59">5.3</Value><Value for="TA6">NaN</Value><Value for="TA60">12.8</Value><Value for="TA62">11.0</Value><Value for="TA63">11.9</Value><Value for="TA64">10.0</Value><Value for="TA65">25.5</Value><Value for="TA66">10.9</Value><Value for="TA67">16.7</Value><Value for="TA68">11.1</Value><Value for="TA69">11.8</Value><Value for="TA7">5.5</Value><Value for="TA70">14.2</Value><Value for="TA71">11.8</Value><Value for="TA72">9.9</Value><Value for="TA73">11.7</Value><Value for="TA74">9.8</Value><Value for="TA75">6.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">9.2</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3723" name="Male" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3723&amp;id=18832&amp;norefer=true" ias:uid="18832" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Active transport (Male)" precision="1"><Value for="TA1">8.0</Value><Value for="TA10">NaN</Value><Value for="TA11">12.2</Value><Value for="TA12">10.6</Value><Value for="TA13">4.8</Value><Value for="TA15">9.6</Value><Value for="TA16">11.0</Value><Value for="TA17">5.8</Value><Value for="TA18">9.0</Value><Value for="TA19">8.5</Value><Value for="TA2">6.5</Value><Value for="TA20">8.7</Value><Value for="TA21">7.9</Value><Value for="TA22">5.0</Value><Value for="TA23">7.3</Value><Value for="TA24">9.1</Value><Value for="TA25">9.7</Value><Value for="TA26">10.0</Value><Value for="TA27">7.8</Value><Value for="TA28">9.7</Value><Value for="TA29">9.8</Value><Value for="TA3">7.9</Value><Value for="TA30">10.3</Value><Value for="TA31">9.2</Value><Value for="TA32">6.6</Value><Value for="TA33">9.8</Value><Value for="TA34">8.6</Value><Value for="TA35">12.7</Value><Value for="TA36">16.0</Value><Value for="TA37">11.3</Value><Value for="TA38">10.4</Value><Value for="TA39">7.8</Value><Value for="TA4">NaN</Value><Value for="TA40">16.5</Value><Value for="TA41">9.5</Value><Value for="TA42">9.3</Value><Value for="TA43">6.9</Value><Value for="TA44">4.0</Value><Value for="TA45">6.4</Value><Value for="TA46">7.3</Value><Value for="TA47">25.6</Value><Value for="TA48">10.6</Value><Value for="TA49">7.4</Value><Value for="TA5">NaN</Value><Value for="TA50">6.7</Value><Value for="TA51">12.4</Value><Value for="TA52">18.3</Value><Value for="TA53">12.6</Value><Value for="TA54">16.3</Value><Value for="TA55">12.9</Value><Value for="TA56">10.0</Value><Value for="TA57">18.7</Value><Value for="TA58">10.6</Value><Value for="TA59">4.7</Value><Value for="TA6">NaN</Value><Value for="TA60">12.4</Value><Value for="TA62">8.3</Value><Value for="TA63">10.4</Value><Value for="TA64">10.4</Value><Value for="TA65">21.6</Value><Value for="TA66">8.3</Value><Value for="TA67">17.5</Value><Value for="TA68">10.3</Value><Value for="TA69">12.1</Value><Value for="TA7">6.3</Value><Value for="TA70">16.8</Value><Value for="TA71">14.0</Value><Value for="TA72">9.4</Value><Value for="TA73">9.9</Value><Value for="TA74">8.9</Value><Value for="TA75">7.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">9.6</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3724" name="Female" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3724&amp;id=18833&amp;norefer=true" ias:uid="18833" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Active transport (Female)" precision="1"><Value for="TA1">12.3</Value><Value for="TA10">NaN</Value><Value for="TA11">17.5</Value><Value for="TA12">14.5</Value><Value for="TA13">7.1</Value><Value for="TA15">12.2</Value><Value for="TA16">10.3</Value><Value for="TA17">7.9</Value><Value for="TA18">12.0</Value><Value for="TA19">13.8</Value><Value for="TA2">8.3</Value><Value for="TA20">16.2</Value><Value for="TA21">12.3</Value><Value for="TA22">7.3</Value><Value for="TA23">7.7</Value><Value for="TA24">8.3</Value><Value for="TA25">14.3</Value><Value for="TA26">15.2</Value><Value for="TA27">12.9</Value><Value for="TA28">11.3</Value><Value for="TA29">15.9</Value><Value for="TA3">12.4</Value><Value for="TA30">9.1</Value><Value for="TA31">9.7</Value><Value for="TA32">10.0</Value><Value for="TA33">10.4</Value><Value for="TA34">12.7</Value><Value for="TA35">19.4</Value><Value for="TA36">17.2</Value><Value for="TA37">11.6</Value><Value for="TA38">13.8</Value><Value for="TA39">9.0</Value><Value for="TA4">NaN</Value><Value for="TA40">13.9</Value><Value for="TA41">16.5</Value><Value for="TA42">13.9</Value><Value for="TA43">7.9</Value><Value for="TA44">4.4</Value><Value for="TA45">7.8</Value><Value for="TA46">6.6</Value><Value for="TA47">19.1</Value><Value for="TA48">12.7</Value><Value for="TA49">9.7</Value><Value for="TA5">NaN</Value><Value for="TA50">13.5</Value><Value for="TA51">14.2</Value><Value for="TA52">17.6</Value><Value for="TA53">15.8</Value><Value for="TA54">17.4</Value><Value for="TA55">27.0</Value><Value for="TA56">14.4</Value><Value for="TA57">27.2</Value><Value for="TA58">17.1</Value><Value for="TA59">7.2</Value><Value for="TA6">NaN</Value><Value for="TA60">11.2</Value><Value for="TA62">8.6</Value><Value for="TA63">13.2</Value><Value for="TA64">14.1</Value><Value for="TA65">43.8</Value><Value for="TA66">16.9</Value><Value for="TA67">26.9</Value><Value for="TA68">16.2</Value><Value for="TA69">20.4</Value><Value for="TA7">5.7</Value><Value for="TA70">22.2</Value><Value for="TA71">14.2</Value><Value for="TA72">14.7</Value><Value for="TA73">15.6</Value><Value for="TA74">13.3</Value><Value for="TA75">10.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">10.0</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3724" name="Female" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3724&amp;id=18834&amp;norefer=true" ias:uid="18834" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Active transport (Female)" precision="1"><Value for="TA1">10.0</Value><Value for="TA10">NaN</Value><Value for="TA11">17.0</Value><Value for="TA12">11.1</Value><Value for="TA13">5.7</Value><Value for="TA15">11.3</Value><Value for="TA16">9.7</Value><Value for="TA17">6.6</Value><Value for="TA18">11.0</Value><Value for="TA19">10.2</Value><Value for="TA2">8.1</Value><Value for="TA20">13.1</Value><Value for="TA21">10.2</Value><Value for="TA22">6.0</Value><Value for="TA23">7.1</Value><Value for="TA24">6.9</Value><Value for="TA25">11.4</Value><Value for="TA26">13.8</Value><Value for="TA27">10.3</Value><Value for="TA28">10.7</Value><Value for="TA29">12.9</Value><Value for="TA3">11.0</Value><Value for="TA30">8.6</Value><Value for="TA31">10.1</Value><Value for="TA32">10.6</Value><Value for="TA33">9.9</Value><Value for="TA34">8.7</Value><Value for="TA35">16.2</Value><Value for="TA36">15.6</Value><Value for="TA37">10.3</Value><Value for="TA38">13.4</Value><Value for="TA39">7.2</Value><Value for="TA4">NaN</Value><Value for="TA40">13.3</Value><Value for="TA41">11.8</Value><Value for="TA42">11.1</Value><Value for="TA43">6.3</Value><Value for="TA44">4.2</Value><Value for="TA45">6.1</Value><Value for="TA46">6.5</Value><Value for="TA47">21.6</Value><Value for="TA48">10.3</Value><Value for="TA49">7.5</Value><Value for="TA5">NaN</Value><Value for="TA50">12.4</Value><Value for="TA51">14.6</Value><Value for="TA52">17.8</Value><Value for="TA53">15.8</Value><Value for="TA54">20.2</Value><Value for="TA55">20.0</Value><Value for="TA56">9.9</Value><Value for="TA57">21.5</Value><Value for="TA58">15.1</Value><Value for="TA59">7.1</Value><Value for="TA6">NaN</Value><Value for="TA60">11.4</Value><Value for="TA62">7.9</Value><Value for="TA63">11.7</Value><Value for="TA64">12.0</Value><Value for="TA65">36.6</Value><Value for="TA66">14.2</Value><Value for="TA67">21.9</Value><Value for="TA68">15.0</Value><Value for="TA69">18.2</Value><Value for="TA7">6.3</Value><Value for="TA70">20.5</Value><Value for="TA71">14.2</Value><Value for="TA72">11.9</Value><Value for="TA73">14.0</Value><Value for="TA74">11.8</Value><Value for="TA75">8.1</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">9.8</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3724" name="Female" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3724&amp;id=18835&amp;norefer=true" ias:uid="18835" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Active transport (Female)" precision="1"><Value for="TA1">9.0</Value><Value for="TA10">NaN</Value><Value for="TA11">17.1</Value><Value for="TA12">11.4</Value><Value for="TA13">4.5</Value><Value for="TA15">10.1</Value><Value for="TA16">9.7</Value><Value for="TA17">6.5</Value><Value for="TA18">9.8</Value><Value for="TA19">9.4</Value><Value for="TA2">7.7</Value><Value for="TA20">13.1</Value><Value for="TA21">10.1</Value><Value for="TA22">6.3</Value><Value for="TA23">7.5</Value><Value for="TA24">7.4</Value><Value for="TA25">10.6</Value><Value for="TA26">11.7</Value><Value for="TA27">10.3</Value><Value for="TA28">9.4</Value><Value for="TA29">8.9</Value><Value for="TA3">10.6</Value><Value for="TA30">9.2</Value><Value for="TA31">9.2</Value><Value for="TA32">8.7</Value><Value for="TA33">10.0</Value><Value for="TA34">9.5</Value><Value for="TA35">13.6</Value><Value for="TA36">13.0</Value><Value for="TA37">9.1</Value><Value for="TA38">11.5</Value><Value for="TA39">6.2</Value><Value for="TA4">NaN</Value><Value for="TA40">12.9</Value><Value for="TA41">12.7</Value><Value for="TA42">10.4</Value><Value for="TA43">7.6</Value><Value for="TA44">4.1</Value><Value for="TA45">5.5</Value><Value for="TA46">6.5</Value><Value for="TA47">25.0</Value><Value for="TA48">10.6</Value><Value for="TA49">7.6</Value><Value for="TA5">NaN</Value><Value for="TA50">10.4</Value><Value for="TA51">14.8</Value><Value for="TA52">18.4</Value><Value for="TA53">14.4</Value><Value for="TA54">17.0</Value><Value for="TA55">18.3</Value><Value for="TA56">14.0</Value><Value for="TA57">20.9</Value><Value for="TA58">12.5</Value><Value for="TA59">6.0</Value><Value for="TA6">NaN</Value><Value for="TA60">10.7</Value><Value for="TA62">7.0</Value><Value for="TA63">11.8</Value><Value for="TA64">11.5</Value><Value for="TA65">29.5</Value><Value for="TA66">13.6</Value><Value for="TA67">14.8</Value><Value for="TA68">13.5</Value><Value for="TA69">18.3</Value><Value for="TA7">6.4</Value><Value for="TA70">21.7</Value><Value for="TA71">14.4</Value><Value for="TA72">11.6</Value><Value for="TA73">12.3</Value><Value for="TA74">11.0</Value><Value for="TA75">8.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">9.8</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator></Theme><Theme id="352988f3-555b-4b3f-bea6-d2d7ca4fc91c" ias:uid="1560" name="Public Transport" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i3725" name="Total" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3725&amp;id=18836&amp;norefer=true" ias:uid="18836" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Public transport (Total)" precision="1"><Value for="TA1">0.5</Value><Value for="TA10">NaN</Value><Value for="TA11">0.3</Value><Value for="TA12">0.5</Value><Value for="TA13">1.1</Value><Value for="TA15">0.5</Value><Value for="TA16">1.9</Value><Value for="TA17">0.5</Value><Value for="TA18">0.6</Value><Value for="TA19">0.7</Value><Value for="TA2">0.7</Value><Value for="TA20">0.5</Value><Value for="TA21">0.4</Value><Value for="TA22">0.5</Value><Value for="TA23">0.6</Value><Value for="TA24">0.9</Value><Value for="TA25">0.4</Value><Value for="TA26">0.5</Value><Value for="TA27">0.5</Value><Value for="TA28">0.7</Value><Value for="TA29">0.7</Value><Value for="TA3">0.4</Value><Value for="TA30">0.7</Value><Value for="TA31">0.8</Value><Value for="TA32">0.2</Value><Value for="TA33">0.8</Value><Value for="TA34">0.3</Value><Value for="TA35">0.3</Value><Value for="TA36">0.5</Value><Value for="TA37">0.6</Value><Value for="TA38">0.4</Value><Value for="TA39">0.7</Value><Value for="TA4">NaN</Value><Value for="TA40">1.3</Value><Value for="TA41">0.4</Value><Value for="TA42">1.0</Value><Value for="TA43">9.9</Value><Value for="TA44">16.7</Value><Value for="TA45">12.4</Value><Value for="TA46">16.5</Value><Value for="TA47">19.4</Value><Value for="TA48">2.5</Value><Value for="TA49">7.1</Value><Value for="TA5">NaN</Value><Value for="TA50">10.4</Value><Value for="TA51">0.6</Value><Value for="TA52">0.8</Value><Value for="TA53">0.4</Value><Value for="TA54">0.6</Value><Value for="TA55">1.1</Value><Value for="TA56">0.5</Value><Value for="TA57">0.5</Value><Value for="TA58">0.3</Value><Value for="TA59">0.8</Value><Value for="TA6">NaN</Value><Value for="TA60">4.5</Value><Value for="TA62">1.2</Value><Value for="TA63">0.3</Value><Value for="TA64">0.7</Value><Value for="TA65">0.0</Value><Value for="TA66">0.5</Value><Value for="TA67">0.0</Value><Value for="TA68">0.7</Value><Value for="TA69">1.0</Value><Value for="TA7">6.9</Value><Value for="TA70">1.2</Value><Value for="TA71">3.9</Value><Value for="TA72">0.6</Value><Value for="TA73">1.2</Value><Value for="TA74">0.7</Value><Value for="TA75">1.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.2</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3725" name="Total" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3725&amp;id=18837&amp;norefer=true" ias:uid="18837" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Public transport (Total)" precision="1"><Value for="TA1">0.3</Value><Value for="TA10">NaN</Value><Value for="TA11">0.2</Value><Value for="TA12">0.2</Value><Value for="TA13">0.7</Value><Value for="TA15">0.3</Value><Value for="TA16">2.2</Value><Value for="TA17">0.3</Value><Value for="TA18">0.4</Value><Value for="TA19">0.4</Value><Value for="TA2">0.6</Value><Value for="TA20">0.3</Value><Value for="TA21">0.2</Value><Value for="TA22">0.4</Value><Value for="TA23">1.0</Value><Value for="TA24">1.3</Value><Value for="TA25">0.3</Value><Value for="TA26">0.2</Value><Value for="TA27">0.4</Value><Value for="TA28">0.4</Value><Value for="TA29">0.3</Value><Value for="TA3">0.2</Value><Value for="TA30">0.4</Value><Value for="TA31">0.7</Value><Value for="TA32">0.2</Value><Value for="TA33">0.5</Value><Value for="TA34">0.4</Value><Value for="TA35">0.1</Value><Value for="TA36">0.5</Value><Value for="TA37">0.5</Value><Value for="TA38">0.4</Value><Value for="TA39">0.6</Value><Value for="TA4">NaN</Value><Value for="TA40">1.8</Value><Value for="TA41">0.4</Value><Value for="TA42">1.1</Value><Value for="TA43">12.1</Value><Value for="TA44">14.5</Value><Value for="TA45">13.1</Value><Value for="TA46">16.7</Value><Value for="TA47">20.9</Value><Value for="TA48">2.3</Value><Value for="TA49">7.9</Value><Value for="TA5">NaN</Value><Value for="TA50">11.6</Value><Value for="TA51">0.5</Value><Value for="TA52">0.7</Value><Value for="TA53">0.2</Value><Value for="TA54">0.2</Value><Value for="TA55">0.6</Value><Value for="TA56">0.3</Value><Value for="TA57">0.2</Value><Value for="TA58">0.3</Value><Value for="TA59">0.7</Value><Value for="TA6">NaN</Value><Value for="TA60">5.2</Value><Value for="TA62">0.8</Value><Value for="TA63">0.2</Value><Value for="TA64">0.6</Value><Value for="TA65">0.2</Value><Value for="TA66">0.1</Value><Value for="TA67">0.0</Value><Value for="TA68">0.2</Value><Value for="TA69">0.2</Value><Value for="TA7">6.9</Value><Value for="TA70">0.9</Value><Value for="TA71">3.5</Value><Value for="TA72">0.3</Value><Value for="TA73">0.5</Value><Value for="TA74">0.2</Value><Value for="TA75">0.9</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.2</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3725" name="Total" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3725&amp;id=18838&amp;norefer=true" ias:uid="18838" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Public transport (Total)" precision="1"><Value for="TA1">0.4</Value><Value for="TA10">NaN</Value><Value for="TA11">0.2</Value><Value for="TA12">0.3</Value><Value for="TA13">1.0</Value><Value for="TA15">0.4</Value><Value for="TA16">2.9</Value><Value for="TA17">0.4</Value><Value for="TA18">0.3</Value><Value for="TA19">0.2</Value><Value for="TA2">0.8</Value><Value for="TA20">0.4</Value><Value for="TA21">0.2</Value><Value for="TA22">0.4</Value><Value for="TA23">1.8</Value><Value for="TA24">1.8</Value><Value for="TA25">0.2</Value><Value for="TA26">0.2</Value><Value for="TA27">0.1</Value><Value for="TA28">0.5</Value><Value for="TA29">0.1</Value><Value for="TA3">0.3</Value><Value for="TA30">0.6</Value><Value for="TA31">1.1</Value><Value for="TA32">0.2</Value><Value for="TA33">0.6</Value><Value for="TA34">0.2</Value><Value for="TA35">0.2</Value><Value for="TA36">0.4</Value><Value for="TA37">0.4</Value><Value for="TA38">0.2</Value><Value for="TA39">0.8</Value><Value for="TA4">NaN</Value><Value for="TA40">2.2</Value><Value for="TA41">0.2</Value><Value for="TA42">1.4</Value><Value for="TA43">13.0</Value><Value for="TA44">15.2</Value><Value for="TA45">13.9</Value><Value for="TA46">18.3</Value><Value for="TA47">20.4</Value><Value for="TA48">2.8</Value><Value for="TA49">9.4</Value><Value for="TA5">NaN</Value><Value for="TA50">13.0</Value><Value for="TA51">0.5</Value><Value for="TA52">1.1</Value><Value for="TA53">0.2</Value><Value for="TA54">0.0</Value><Value for="TA55">0.5</Value><Value for="TA56">0.2</Value><Value for="TA57">0.0</Value><Value for="TA58">0.2</Value><Value for="TA59">1.0</Value><Value for="TA6">NaN</Value><Value for="TA60">3.7</Value><Value for="TA62">1.1</Value><Value for="TA63">0.1</Value><Value for="TA64">0.5</Value><Value for="TA65">0.0</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.2</Value><Value for="TA69">0.1</Value><Value for="TA7">8.3</Value><Value for="TA70">1.8</Value><Value for="TA71">3.3</Value><Value for="TA72">0.2</Value><Value for="TA73">0.4</Value><Value for="TA74">0.3</Value><Value for="TA75">0.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">5.7</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3726" name="Male" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3726&amp;id=18839&amp;norefer=true" ias:uid="18839" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Public transport (Male)" precision="1"><Value for="TA1">0.4</Value><Value for="TA10">NaN</Value><Value for="TA11">0.2</Value><Value for="TA12">0.3</Value><Value for="TA13">0.8</Value><Value for="TA15">0.4</Value><Value for="TA16">1.2</Value><Value for="TA17">0.6</Value><Value for="TA18">0.4</Value><Value for="TA19">0.9</Value><Value for="TA2">0.6</Value><Value for="TA20">0.5</Value><Value for="TA21">0.4</Value><Value for="TA22">0.3</Value><Value for="TA23">0.5</Value><Value for="TA24">0.7</Value><Value for="TA25">0.4</Value><Value for="TA26">0.9</Value><Value for="TA27">0.8</Value><Value for="TA28">0.5</Value><Value for="TA29">0.4</Value><Value for="TA3">0.4</Value><Value for="TA30">0.5</Value><Value for="TA31">0.5</Value><Value for="TA32">0.1</Value><Value for="TA33">0.6</Value><Value for="TA34">0.2</Value><Value for="TA35">0.3</Value><Value for="TA36">0.3</Value><Value for="TA37">0.4</Value><Value for="TA38">0.3</Value><Value for="TA39">0.6</Value><Value for="TA4">NaN</Value><Value for="TA40">0.9</Value><Value for="TA41">0.3</Value><Value for="TA42">0.9</Value><Value for="TA43">8.7</Value><Value for="TA44">13.2</Value><Value for="TA45">10.8</Value><Value for="TA46">13.3</Value><Value for="TA47">16.8</Value><Value for="TA48">2.3</Value><Value for="TA49">6.1</Value><Value for="TA5">NaN</Value><Value for="TA50">7.7</Value><Value for="TA51">0.5</Value><Value for="TA52">0.6</Value><Value for="TA53">0.5</Value><Value for="TA54">1.0</Value><Value for="TA55">1.4</Value><Value for="TA56">0.5</Value><Value for="TA57">0.6</Value><Value for="TA58">0.4</Value><Value for="TA59">0.6</Value><Value for="TA6">NaN</Value><Value for="TA60">2.9</Value><Value for="TA62">0.9</Value><Value for="TA63">0.4</Value><Value for="TA64">0.4</Value><Value for="TA65">0.4</Value><Value for="TA66">0.8</Value><Value for="TA67">0.0</Value><Value for="TA68">0.6</Value><Value for="TA69">1.0</Value><Value for="TA7">5.1</Value><Value for="TA70">0.8</Value><Value for="TA71">2.6</Value><Value for="TA72">0.7</Value><Value for="TA73">0.9</Value><Value for="TA74">1.0</Value><Value for="TA75">0.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">3.9</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3726" name="Male" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3726&amp;id=18840&amp;norefer=true" ias:uid="18840" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Public transport (Male)" precision="1"><Value for="TA1">0.4</Value><Value for="TA10">NaN</Value><Value for="TA11">0.2</Value><Value for="TA12">0.1</Value><Value for="TA13">0.6</Value><Value for="TA15">0.1</Value><Value for="TA16">1.3</Value><Value for="TA17">0.3</Value><Value for="TA18">0.8</Value><Value for="TA19">0.5</Value><Value for="TA2">0.4</Value><Value for="TA20">0.2</Value><Value for="TA21">0.2</Value><Value for="TA22">0.3</Value><Value for="TA23">0.6</Value><Value for="TA24">0.7</Value><Value for="TA25">0.3</Value><Value for="TA26">0.3</Value><Value for="TA27">0.5</Value><Value for="TA28">0.2</Value><Value for="TA29">0.4</Value><Value for="TA3">0.2</Value><Value for="TA30">0.2</Value><Value for="TA31">0.4</Value><Value for="TA32">0.1</Value><Value for="TA33">0.4</Value><Value for="TA34">0.4</Value><Value for="TA35">0.2</Value><Value for="TA36">0.3</Value><Value for="TA37">0.3</Value><Value for="TA38">0.4</Value><Value for="TA39">0.5</Value><Value for="TA4">NaN</Value><Value for="TA40">1.4</Value><Value for="TA41">0.3</Value><Value for="TA42">1.1</Value><Value for="TA43">10.8</Value><Value for="TA44">12.2</Value><Value for="TA45">11.3</Value><Value for="TA46">13.8</Value><Value for="TA47">18.1</Value><Value for="TA48">1.9</Value><Value for="TA49">6.8</Value><Value for="TA5">NaN</Value><Value for="TA50">9.4</Value><Value for="TA51">0.4</Value><Value for="TA52">0.5</Value><Value for="TA53">0.1</Value><Value for="TA54">0.4</Value><Value for="TA55">0.7</Value><Value for="TA56">0.4</Value><Value for="TA57">0.0</Value><Value for="TA58">0.2</Value><Value for="TA59">0.5</Value><Value for="TA6">NaN</Value><Value for="TA60">3.5</Value><Value for="TA62">0.5</Value><Value for="TA63">0.2</Value><Value for="TA64">0.4</Value><Value for="TA65">0.4</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.2</Value><Value for="TA69">0.2</Value><Value for="TA7">5.0</Value><Value for="TA70">0.6</Value><Value for="TA71">2.3</Value><Value for="TA72">0.3</Value><Value for="TA73">0.3</Value><Value for="TA74">0.1</Value><Value for="TA75">0.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.0</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3726" name="Male" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3726&amp;id=18841&amp;norefer=true" ias:uid="18841" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Public transport (Male)" precision="1"><Value for="TA1">0.4</Value><Value for="TA10">NaN</Value><Value for="TA11">0.1</Value><Value for="TA12">0.2</Value><Value for="TA13">0.8</Value><Value for="TA15">0.2</Value><Value for="TA16">2.0</Value><Value for="TA17">0.3</Value><Value for="TA18">0.2</Value><Value for="TA19">0.3</Value><Value for="TA2">0.6</Value><Value for="TA20">0.4</Value><Value for="TA21">0.1</Value><Value for="TA22">0.4</Value><Value for="TA23">1.2</Value><Value for="TA24">1.1</Value><Value for="TA25">0.2</Value><Value for="TA26">0.4</Value><Value for="TA27">0.0</Value><Value for="TA28">0.3</Value><Value for="TA29">0.2</Value><Value for="TA3">0.2</Value><Value for="TA30">0.4</Value><Value for="TA31">0.8</Value><Value for="TA32">0.4</Value><Value for="TA33">0.4</Value><Value for="TA34">0.2</Value><Value for="TA35">0.2</Value><Value for="TA36">0.1</Value><Value for="TA37">0.3</Value><Value for="TA38">0.3</Value><Value for="TA39">0.7</Value><Value for="TA4">NaN</Value><Value for="TA40">1.6</Value><Value for="TA41">0.1</Value><Value for="TA42">1.3</Value><Value for="TA43">12.2</Value><Value for="TA44">13.1</Value><Value for="TA45">12.3</Value><Value for="TA46">15.3</Value><Value for="TA47">18.1</Value><Value for="TA48">2.6</Value><Value for="TA49">8.9</Value><Value for="TA5">NaN</Value><Value for="TA50">12.5</Value><Value for="TA51">0.5</Value><Value for="TA52">0.8</Value><Value for="TA53">0.2</Value><Value for="TA54">0.0</Value><Value for="TA55">0.7</Value><Value for="TA56">0.2</Value><Value for="TA57">0.0</Value><Value for="TA58">0.0</Value><Value for="TA59">0.8</Value><Value for="TA6">NaN</Value><Value for="TA60">2.7</Value><Value for="TA62">0.8</Value><Value for="TA63">0.0</Value><Value for="TA64">0.3</Value><Value for="TA65">0.4</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.2</Value><Value for="TA69">0.2</Value><Value for="TA7">6.6</Value><Value for="TA70">1.3</Value><Value for="TA71">2.3</Value><Value for="TA72">0.2</Value><Value for="TA73">0.5</Value><Value for="TA74">0.4</Value><Value for="TA75">0.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">4.6</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3727" name="Female" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=3727&amp;id=18842&amp;norefer=true" ias:uid="18842" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Public transport (Female)" precision="1"><Value for="TA1">0.6</Value><Value for="TA10">NaN</Value><Value for="TA11">0.3</Value><Value for="TA12">0.6</Value><Value for="TA13">1.4</Value><Value for="TA15">0.6</Value><Value for="TA16">2.9</Value><Value for="TA17">0.5</Value><Value for="TA18">1.3</Value><Value for="TA19">0.4</Value><Value for="TA2">0.9</Value><Value for="TA20">0.5</Value><Value for="TA21">0.3</Value><Value for="TA22">0.6</Value><Value for="TA23">0.7</Value><Value for="TA24">1.2</Value><Value for="TA25">0.3</Value><Value for="TA26">0.4</Value><Value for="TA27">0.3</Value><Value for="TA28">0.8</Value><Value for="TA29">1.2</Value><Value for="TA3">0.3</Value><Value for="TA30">0.9</Value><Value for="TA31">1.2</Value><Value for="TA32">0.3</Value><Value for="TA33">1.0</Value><Value for="TA34">0.3</Value><Value for="TA35">0.4</Value><Value for="TA36">1.0</Value><Value for="TA37">0.9</Value><Value for="TA38">0.5</Value><Value for="TA39">0.9</Value><Value for="TA4">NaN</Value><Value for="TA40">1.8</Value><Value for="TA41">0.4</Value><Value for="TA42">1.0</Value><Value for="TA43">11.4</Value><Value for="TA44">20.8</Value><Value for="TA45">14.7</Value><Value for="TA46">20.5</Value><Value for="TA47">22.3</Value><Value for="TA48">2.7</Value><Value for="TA49">8.4</Value><Value for="TA5">NaN</Value><Value for="TA50">14.0</Value><Value for="TA51">0.6</Value><Value for="TA52">1.2</Value><Value for="TA53">0.3</Value><Value for="TA54">0.6</Value><Value for="TA55">0.3</Value><Value for="TA56">0.6</Value><Value for="TA57">0.0</Value><Value for="TA58">0.5</Value><Value for="TA59">1.2</Value><Value for="TA6">NaN</Value><Value for="TA60">6.5</Value><Value for="TA62">1.5</Value><Value for="TA63">0.3</Value><Value for="TA64">0.9</Value><Value for="TA65">0.0</Value><Value for="TA66">0.4</Value><Value for="TA67">0.0</Value><Value for="TA68">0.7</Value><Value for="TA69">0.9</Value><Value for="TA7">9.0</Value><Value for="TA70">1.7</Value><Value for="TA71">5.4</Value><Value for="TA72">0.5</Value><Value for="TA73">1.6</Value><Value for="TA74">0.2</Value><Value for="TA75">1.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">6.7</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3727" name="Female" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=3727&amp;id=18843&amp;norefer=true" ias:uid="18843" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Public transport (Female)" precision="1"><Value for="TA1">0.3</Value><Value for="TA10">NaN</Value><Value for="TA11">0.3</Value><Value for="TA12">0.4</Value><Value for="TA13">0.9</Value><Value for="TA15">0.5</Value><Value for="TA16">3.3</Value><Value for="TA17">0.3</Value><Value for="TA18">0.3</Value><Value for="TA19">0.5</Value><Value for="TA2">0.9</Value><Value for="TA20">0.5</Value><Value for="TA21">0.3</Value><Value for="TA22">0.5</Value><Value for="TA23">1.6</Value><Value for="TA24">2.0</Value><Value for="TA25">0.2</Value><Value for="TA26">0.0</Value><Value for="TA27">0.6</Value><Value for="TA28">0.6</Value><Value for="TA29">0.5</Value><Value for="TA3">0.1</Value><Value for="TA30">0.7</Value><Value for="TA31">1.0</Value><Value for="TA32">0.3</Value><Value for="TA33">0.7</Value><Value for="TA34">0.2</Value><Value for="TA35">0.1</Value><Value for="TA36">0.5</Value><Value for="TA37">0.6</Value><Value for="TA38">0.4</Value><Value for="TA39">0.7</Value><Value for="TA4">NaN</Value><Value for="TA40">2.2</Value><Value for="TA41">0.4</Value><Value for="TA42">1.3</Value><Value for="TA43">13.7</Value><Value for="TA44">17.3</Value><Value for="TA45">15.3</Value><Value for="TA46">20.3</Value><Value for="TA47">24.0</Value><Value for="TA48">2.8</Value><Value for="TA49">9.4</Value><Value for="TA5">NaN</Value><Value for="TA50">14.6</Value><Value for="TA51">0.6</Value><Value for="TA52">0.9</Value><Value for="TA53">0.2</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.3</Value><Value for="TA57">0.2</Value><Value for="TA58">0.2</Value><Value for="TA59">1.1</Value><Value for="TA6">NaN</Value><Value for="TA60">7.2</Value><Value for="TA62">1.3</Value><Value for="TA63">0.1</Value><Value for="TA64">0.9</Value><Value for="TA65">0.5</Value><Value for="TA66">0.3</Value><Value for="TA67">0.0</Value><Value for="TA68">0.2</Value><Value for="TA69">0.2</Value><Value for="TA7">9.2</Value><Value for="TA70">1.1</Value><Value for="TA71">4.8</Value><Value for="TA72">0.1</Value><Value for="TA73">0.7</Value><Value for="TA74">0.1</Value><Value for="TA75">1.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">6.8</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator><Indicator id="i3727" name="Female" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=3727&amp;id=18844&amp;norefer=true" ias:uid="18844" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Public transport (Female)" precision="1"><Value for="TA1">0.5</Value><Value for="TA10">NaN</Value><Value for="TA11">0.3</Value><Value for="TA12">0.3</Value><Value for="TA13">1.2</Value><Value for="TA15">0.5</Value><Value for="TA16">4.0</Value><Value for="TA17">0.5</Value><Value for="TA18">0.3</Value><Value for="TA19">0.1</Value><Value for="TA2">1.1</Value><Value for="TA20">0.5</Value><Value for="TA21">0.2</Value><Value for="TA22">0.5</Value><Value for="TA23">2.5</Value><Value for="TA24">2.6</Value><Value for="TA25">0.3</Value><Value for="TA26">0.4</Value><Value for="TA27">0.0</Value><Value for="TA28">0.7</Value><Value for="TA29">0.0</Value><Value for="TA3">0.3</Value><Value for="TA30">0.8</Value><Value for="TA31">1.5</Value><Value for="TA32">0.2</Value><Value for="TA33">0.9</Value><Value for="TA34">0.0</Value><Value for="TA35">0.2</Value><Value for="TA36">0.6</Value><Value for="TA37">0.4</Value><Value for="TA38">0.4</Value><Value for="TA39">0.9</Value><Value for="TA4">NaN</Value><Value for="TA40">2.9</Value><Value for="TA41">0.1</Value><Value for="TA42">1.5</Value><Value for="TA43">13.8</Value><Value for="TA44">17.5</Value><Value for="TA45">15.9</Value><Value for="TA46">21.7</Value><Value for="TA47">22.9</Value><Value for="TA48">3.1</Value><Value for="TA49">9.9</Value><Value for="TA5">NaN</Value><Value for="TA50">13.5</Value><Value for="TA51">0.7</Value><Value for="TA52">1.4</Value><Value for="TA53">0.2</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.1</Value><Value for="TA57">0.0</Value><Value for="TA58">0.2</Value><Value for="TA59">1.3</Value><Value for="TA6">NaN</Value><Value for="TA60">5.0</Value><Value for="TA62">1.5</Value><Value for="TA63">0.1</Value><Value for="TA64">0.7</Value><Value for="TA65">0.0</Value><Value for="TA66">0.0</Value><Value for="TA67">0.0</Value><Value for="TA68">0.3</Value><Value for="TA69">0.0</Value><Value for="TA7">10.4</Value><Value for="TA70">2.5</Value><Value for="TA71">4.5</Value><Value for="TA72">0.1</Value><Value for="TA73">0.5</Value><Value for="TA74">0.3</Value><Value for="TA75">1.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">7.1</ComparisonValue><Property name="dc:title" value="Percentage of commuters using transport modes as main means of travel to work on Census day" /><Property name="dc:rationale" value="The activities of walking and cycling are beneficial for our health and for the environment. These benefits include increasing our physical activity, producing less air pollution and producing no greenhouse gases (British Medical Association 2012). Using active transport (such as walking and cycling) is an easy way to get some physical activity each day.     Public transport also increases physical activity, reduces air pollution (by not taking a private vehicle), is safer than travelling by private vehicle, and can improve mental health.   " /><Property name="dc:subject" value="Transport" /><Property name="dc:subject.keyword" value="main mode, transport, work, commuters" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="2017" /><Property name="dc:creator" value="Environmental Health Indicators New Zealand, Centre for Public Health Research, Massey University, Wellington" /><Property name="dc:coverage.spatial" value="Regional Council" /><Property name="dc:coverage.temporal" value="Time periods available: Every census year:  2001, 2006, 2013 Results between census years have been compared, and differences noted. " /><Property name="numerator" value="Numerator: Number of commuters who used different transport modes as their main means of travel (ie to travel the longest distance) to get to their place of employment on Census day. Transport modes include walking, jogging, cycling, using a public bus or train, and using a private or commercial vehicle (car, van or truck).   " /><Property name="denominator" value="Denominator: Number of commuters. Commuters are defined as the employed usually resident population aged 15 years and over who travelled to work on Census day (ie excludes people who did not work on Census day, or who worked from home). " /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="New Zealand Census of Population and Dwellings" /><Property name="measure" value="Percentage of commuters aged 15 years and over who used public transport or active forms of transport (walking, jogging or cycling) as their main means to travel to work on Census day. Main mode of travel is defined as the transport mode used to travel the longest distance to their place of employment. See below for definition of commuters. " /><Property name="Census question" value="Census question 2013 Census question 41:  On Tuesday 5 March, what was the one main way you travelled to work – that is, the one you used for the greatest distance? • Worked at home • Did not go to work on Tuesday 5 March • Public bus • Train  • Drove a private car, truck or van • Drove a company car, truck or van • Passenger in a car, truck, van or company bus • Motorbike • Bicycle • Walked or jogged • Other, for example TAXI, FERRY, PLANE. Print the main way you travelled to work:  " /><Property name="Population coverage" value="The subject population for the Census data is the employed census usually resident population aged 15 years and over. For the purposes of this indicator, the subject population excludes people who did not travel to work on Census day, who worked from home, or who provided no response or a response that could not be classified (‘Not elsewhere classified’).  " /><Property name="Limitations of indicatorand data sources" value="Limitations of indicator and data sources This data relates to the main means of travel on census day, and therefore the indicator has several limitations.  • It does not necessarily indicate a person’s usual mode of travel to work. • It only relates to the main means of travel, that is, the longest distance.  It does not take into account secondary modes of transport.   • It does not include people who did not go to work on census day. • Some people did not respond to the question, or did not provide the type of information asked for; they were coded as ‘Not elsewhere classified’ (3.7% in 2013) and excluded from the analysis.    Statistics New Zealand have rated the quality of this variable as ‘high’ and ‘fit for use’, with minor data quality issues only.    In terms of time trends, Statistics New Zealand have noted that the 2013 data is fully comparable with the 2006 census data, and highly comparable with the 2001 Census data.  However, there have been minor changes in collection, definitions and classifications since the 2001 Census.  For example, in 2001, the motorbike category was worded ‘motorbike or power cycle’ but for 2006 and 2013 was just ‘motorbike’.  Furthermore, in 2001, multiple responses were dealt with by selecting the first mode; in 2006 and 2013, the response was ‘response unidentifiable’. However, these changes are not likely to have affected the data, as the use of power cycles is rare, and the number of multiple responses to this question is very low.      Active transport modes, such as biking, walking and jogging, may also be influenced by the weather conditions on Census day.  Historic weather data suggests that Census day has been relatively consistent, with fine conditions, in the main centres in 2001, 2006 and 2013 (Table 1).    Table 1: Weather conditions on Census day in New Zealand (max temperature, precipitation, wind speed) City 6 March 2001 7 March 2006 5 March 2013 Auckland  23°C, 0.0mm, 8km/h 23°C, 0.0mm, 14km/h 23°C, 0.0mm, 16km/h Wellington 19°C, 0.0mm, 10km/h 20°C, 0.0mm, 37km/h 17°C, 0.0mm, 19km/h Christchurch 19°C, 0.0mm, 6km/h 19°C, 0.0mm, 16km/h 21°C, 0.0mm, 10km/h Source: https://www.wunderground.com/global/NZ.html     " /><Property name="Related indicators" value="Related indicators Number of motor vehicles Household travel by mode of transport Active transport to and from school Unmet need for a GP due to lack of transport " /><Property name="For more information" value="http://www.stats.govt.nz/Census/2013-census/info-about-2013-census-data/information-by-variable/main-means-of-travel-to-work.aspx " /><Property name="References" value="British Medical Association. 2012. Healthy transport = healthy lives. http://bma.org.uk/transport" /></Indicator></Theme></Theme></Theme><Theme id="e2174b16-0f2a-446d-bcab-8d0af98607a1" ias:uid="1128" name="Potentially water-borne  disease" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i469" name="Campylobacteriosis incidence: CR per 100,000" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=469&amp;id=12545&amp;norefer=true" ias:uid="12545" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Campylobacteriosis incidence: CR per 100,000" precision="1"><Value for="TA1">111.2</Value><Value for="TA10">NaN</Value><Value for="TA11">183.4</Value><Value for="TA12">185.3</Value><Value for="TA13">167.3</Value><Value for="TA15">260.0</Value><Value for="TA16">139.8</Value><Value for="TA17">274.3</Value><Value for="TA18">306.3</Value><Value for="TA19">185.8</Value><Value for="TA2">167.5</Value><Value for="TA20">179.6</Value><Value for="TA21">179.3</Value><Value for="TA22">171.7</Value><Value for="TA23">123.7</Value><Value for="TA24">163.9</Value><Value for="TA25">104.0</Value><Value for="TA26">94.3</Value><Value for="TA27">118.5</Value><Value for="TA28">123.7</Value><Value for="TA29">164.8</Value><Value for="TA3">200.4</Value><Value for="TA30">184.3</Value><Value for="TA31">192.2</Value><Value for="TA32">306.6</Value><Value for="TA33">184.7</Value><Value for="TA34">222.5</Value><Value for="TA35">237.1</Value><Value for="TA36">168.9</Value><Value for="TA37">147.1</Value><Value for="TA38">171.2</Value><Value for="TA39">174.8</Value><Value for="TA4">NaN</Value><Value for="TA40">83.7</Value><Value for="TA41">160.2</Value><Value for="TA42">152.8</Value><Value for="TA43">173.1</Value><Value for="TA44">125.7</Value><Value for="TA45">144.4</Value><Value for="TA46">115.0</Value><Value for="TA47">152.4</Value><Value for="TA48">154.2</Value><Value for="TA49">291.4</Value><Value for="TA5">NaN</Value><Value for="TA50">136.4</Value><Value for="TA51">188.7</Value><Value for="TA52">170.1</Value><Value for="TA53">311.0</Value><Value for="TA54">225.0</Value><Value for="TA55">248.3</Value><Value for="TA56">209.4</Value><Value for="TA57">216.8</Value><Value for="TA58">485.7</Value><Value for="TA59">208.1</Value><Value for="TA6">NaN</Value><Value for="TA60">202.7</Value><Value for="TA62">284.8</Value><Value for="TA63">425.2</Value><Value for="TA64">293.7</Value><Value for="TA65">481.0</Value><Value for="TA66">384.8</Value><Value for="TA67">NaN</Value><Value for="TA68">321.7</Value><Value for="TA69">268.2</Value><Value for="TA7">125.3</Value><Value for="TA70">230.3</Value><Value for="TA71">202.1</Value><Value for="TA72">390.8</Value><Value for="TA73">310.7</Value><Value for="TA74">265.9</Value><Value for="TA75">125.7</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">158.6</ComparisonValue><Property name="dc:title" value="Notifiable Diseases" /><Property name="dc:subject" value="Notifiable Diseases" /><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. It illustrates the actual burden within a population and can be used to compare groups with the same age distribution. " /><Property name="dc:numerator" value="Number of  notifications of the specified disease per annum (ESR)" /><Property name="dc:denominator" value="Linear interpolation of the New Zealand population between census years, using optimal polynomial spine smoothed census population 1991-2006, adjusted for age-region-gender-ethnic under-count in 1996, 2001and 2006 censuses. From 2007 onwards the 2006 census results are used in isolation. Caution should therefore be taken when comparing data post 2007 with earlier years. From 2014 onwards population  data from the 2013 census has been used" /></Indicator><Indicator id="i469" name="Campylobacteriosis incidence: CR per 100,000" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=469&amp;id=12546&amp;norefer=true" ias:uid="12546" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Campylobacteriosis incidence: CR per 100,000" precision="1"><Value for="TA1">127.4</Value><Value for="TA10">NaN</Value><Value for="TA11">171.9</Value><Value for="TA12">207.7</Value><Value for="TA13">198.8</Value><Value for="TA15">348.8</Value><Value for="TA16">155.4</Value><Value for="TA17">312.9</Value><Value for="TA18">306.3</Value><Value for="TA19">140.5</Value><Value for="TA2">150.7</Value><Value for="TA20">157.2</Value><Value for="TA21">188.4</Value><Value for="TA22">148.8</Value><Value for="TA23">112.4</Value><Value for="TA24">180.8</Value><Value for="TA25">149.9</Value><Value for="TA26">172.9</Value><Value for="TA27">94.8</Value><Value for="TA28">187.9</Value><Value for="TA29">190.1</Value><Value for="TA3">179.3</Value><Value for="TA30">241.7</Value><Value for="TA31">185.2</Value><Value for="TA32">290.9</Value><Value for="TA33">196.8</Value><Value for="TA34">311.5</Value><Value for="TA35">233.3</Value><Value for="TA36">253.3</Value><Value for="TA37">151.8</Value><Value for="TA38">221.1</Value><Value for="TA39">207.6</Value><Value for="TA4">NaN</Value><Value for="TA40">131.1</Value><Value for="TA41">243.3</Value><Value for="TA42">225.9</Value><Value for="TA43">134.4</Value><Value for="TA44">127.6</Value><Value for="TA45">129.4</Value><Value for="TA46">101.8</Value><Value for="TA47">168.6</Value><Value for="TA48">128.5</Value><Value for="TA49">157.9</Value><Value for="TA5">NaN</Value><Value for="TA50">262.4</Value><Value for="TA51">140.0</Value><Value for="TA52">86.1</Value><Value for="TA53">188.9</Value><Value for="TA54">196.9</Value><Value for="TA55">181.4</Value><Value for="TA56">209.4</Value><Value for="TA57">264.9</Value><Value for="TA58">216.8</Value><Value for="TA59">196.0</Value><Value for="TA6">NaN</Value><Value for="TA60">140.0</Value><Value for="TA62">195.1</Value><Value for="TA63">341.5</Value><Value for="TA64">289.1</Value><Value for="TA65">457.0</Value><Value for="TA66">278.7</Value><Value for="TA67">NaN</Value><Value for="TA68">230.5</Value><Value for="TA69">268.2</Value><Value for="TA7">134.7</Value><Value for="TA70">226.8</Value><Value for="TA71">152.2</Value><Value for="TA72">378.9</Value><Value for="TA73">192.5</Value><Value for="TA74">241.0</Value><Value for="TA75">133.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">152.9</ComparisonValue><Property name="dc:title" value="Notifiable Diseases" /><Property name="dc:subject" value="Notifiable Diseases" /><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. It illustrates the actual burden within a population and can be used to compare groups with the same age distribution. " /><Property name="dc:numerator" value="Number of  notifications of the specified disease per annum (ESR)" /><Property name="dc:denominator" value="Linear interpolation of the New Zealand population between census years, using optimal polynomial spine smoothed census population 1991-2006, adjusted for age-region-gender-ethnic under-count in 1996, 2001and 2006 censuses. From 2007 onwards the 2006 census results are used in isolation. Caution should therefore be taken when comparing data post 2007 with earlier years. From 2014 onwards population  data from the 2013 census has been used" /></Indicator><Indicator id="i470" name="Cryptosporidiosis incidence: CR per 100,000" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=470&amp;id=12547&amp;norefer=true" ias:uid="12547" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Cryptosporidiosis incidence: CR per 100,000" precision="1"><Value for="TA1">19.7</Value><Value for="TA10">NaN</Value><Value for="TA11">42.0</Value><Value for="TA12">39.3</Value><Value for="TA13">75.7</Value><Value for="TA15">72.9</Value><Value for="TA16">20.5</Value><Value for="TA17">72.9</Value><Value for="TA18">109.4</Value><Value for="TA19">40.8</Value><Value for="TA2">27.3</Value><Value for="TA20">67.4</Value><Value for="TA21">24.3</Value><Value for="TA22">16.0</Value><Value for="TA23">8.7</Value><Value for="TA24">21.5</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">NaN</Value><Value for="TA29">NaN</Value><Value for="TA3">26.4</Value><Value for="TA30">32.8</Value><Value for="TA31">22.7</Value><Value for="TA32">62.9</Value><Value for="TA33">24.3</Value><Value for="TA34">NaN</Value><Value for="TA35">26.3</Value><Value for="TA36">16.9</Value><Value for="TA37">NaN</Value><Value for="TA38">NaN</Value><Value for="TA39">18.2</Value><Value for="TA4">NaN</Value><Value for="TA40">6.2</Value><Value for="TA41">29.7</Value><Value for="TA42">26.6</Value><Value for="TA43">34.6</Value><Value for="TA44">38.7</Value><Value for="TA45">24.9</Value><Value for="TA46">24.4</Value><Value for="TA47">39.8</Value><Value for="TA48">51.4</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">10.8</Value><Value for="TA53">18.4</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">60.2</Value><Value for="TA58">43.4</Value><Value for="TA59">26.0</Value><Value for="TA6">NaN</Value><Value for="TA60">11.1</Value><Value for="TA62">22.4</Value><Value for="TA63">70.9</Value><Value for="TA64">82.0</Value><Value for="TA65">NaN</Value><Value for="TA66">79.6</Value><Value for="TA67">NaN</Value><Value for="TA68">72.0</Value><Value for="TA69">33.5</Value><Value for="TA7">7.8</Value><Value for="TA70">21.3</Value><Value for="TA71">19.1</Value><Value for="TA72">35.5</Value><Value for="TA73">40.5</Value><Value for="TA74">58.2</Value><Value for="TA75">11.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">19.8</ComparisonValue><Property name="dc:title" value="Notifiable Diseases" /><Property name="dc:subject" value="Notifiable Diseases" /><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. It illustrates the actual burden within a population and can be used to compare groups with the same age distribution. " /><Property name="dc:numerator" value="Number of  notifications of the specified disease per annum (ESR)" /><Property name="dc:denominator" value="Linear interpolation of the New Zealand population between census years, using optimal polynomial spine smoothed census population 1991-2006, adjusted for age-region-gender-ethnic under-count in 1996, 2001and 2006 censuses. From 2007 onwards the 2006 census results are used in isolation. Caution should therefore be taken when comparing data post 2007 with earlier years. From 2014 onwards population  data from the 2013 census has been used" /></Indicator><Indicator id="i470" name="Cryptosporidiosis incidence: CR per 100,000" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=470&amp;id=12548&amp;norefer=true" ias:uid="12548" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Cryptosporidiosis incidence: CR per 100,000" precision="1"><Value for="TA1">19.7</Value><Value for="TA10">NaN</Value><Value for="TA11">22.9</Value><Value for="TA12">56.2</Value><Value for="TA13">48.9</Value><Value for="TA15">53.9</Value><Value for="TA16">65.0</Value><Value for="TA17">75.0</Value><Value for="TA18">98.5</Value><Value for="TA19">31.7</Value><Value for="TA2">13.0</Value><Value for="TA20">56.1</Value><Value for="TA21">79.0</Value><Value for="TA22">13.7</Value><Value for="TA23">16.6</Value><Value for="TA24">55.2</Value><Value for="TA25">27.5</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">9.2</Value><Value for="TA29">NaN</Value><Value for="TA3">36.9</Value><Value for="TA30">102.4</Value><Value for="TA31">96.1</Value><Value for="TA32">NaN</Value><Value for="TA33">44.5</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">NaN</Value><Value for="TA37">35.6</Value><Value for="TA38">35.7</Value><Value for="TA39">32.8</Value><Value for="TA4">NaN</Value><Value for="TA40">28.7</Value><Value for="TA41">35.6</Value><Value for="TA42">NaN</Value><Value for="TA43">20.4</Value><Value for="TA44">48.3</Value><Value for="TA45">34.8</Value><Value for="TA46">26.5</Value><Value for="TA47">38.2</Value><Value for="TA48">30.0</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">14.8</Value><Value for="TA52">10.8</Value><Value for="TA53">20.7</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">40.0</Value><Value for="TA6">NaN</Value><Value for="TA60">31.6</Value><Value for="TA62">100.9</Value><Value for="TA63">48.3</Value><Value for="TA64">68.3</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">52.8</Value><Value for="TA69">27.9</Value><Value for="TA7">18.7</Value><Value for="TA70">31.9</Value><Value for="TA71">15.0</Value><Value for="TA72">35.5</Value><Value for="TA73">87.8</Value><Value for="TA74">NaN</Value><Value for="TA75">11.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">30.1</ComparisonValue><Property name="dc:title" value="Notifiable Diseases" /><Property name="dc:subject" value="Notifiable Diseases" /><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. It illustrates the actual burden within a population and can be used to compare groups with the same age distribution. " /><Property name="dc:numerator" value="Number of  notifications of the specified disease per annum (ESR)" /><Property name="dc:denominator" value="Linear interpolation of the New Zealand population between census years, using optimal polynomial spine smoothed census population 1991-2006, adjusted for age-region-gender-ethnic under-count in 1996, 2001and 2006 censuses. From 2007 onwards the 2006 census results are used in isolation. Caution should therefore be taken when comparing data post 2007 with earlier years. From 2014 onwards population  data from the 2013 census has been used" /></Indicator><Indicator id="i471" name="Giardiasis incidence: CR per 100,000" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=471&amp;id=12549&amp;norefer=true" ias:uid="12549" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Giardiasis incidence: CR per 100,000" precision="1"><Value for="TA1">32.3</Value><Value for="TA10">NaN</Value><Value for="TA11">34.4</Value><Value for="TA12">NaN</Value><Value for="TA13">48.9</Value><Value for="TA15">28.5</Value><Value for="TA16">43.8</Value><Value for="TA17">53.6</Value><Value for="TA18">NaN</Value><Value for="TA19">27.2</Value><Value for="TA2">31.2</Value><Value for="TA20">67.4</Value><Value for="TA21">60.8</Value><Value for="TA22">43.5</Value><Value for="TA23">47.9</Value><Value for="TA24">59.7</Value><Value for="TA25">58.1</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">18.3</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">47.8</Value><Value for="TA31">26.2</Value><Value for="TA32">62.9</Value><Value for="TA33">40.4</Value><Value for="TA34">NaN</Value><Value for="TA35">18.8</Value><Value for="TA36">0.0</Value><Value for="TA37">14.2</Value><Value for="TA38">NaN</Value><Value for="TA39">NaN</Value><Value for="TA4">NaN</Value><Value for="TA40">10.0</Value><Value for="TA41">NaN</Value><Value for="TA42">NaN</Value><Value for="TA43">42.8</Value><Value for="TA44">29.0</Value><Value for="TA45">37.3</Value><Value for="TA46">36.7</Value><Value for="TA47">50.3</Value><Value for="TA48">68.5</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">25.5</Value><Value for="TA52">38.8</Value><Value for="TA53">85.2</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">52.4</Value><Value for="TA57">NaN</Value><Value for="TA58">104.1</Value><Value for="TA59">38.0</Value><Value for="TA6">NaN</Value><Value for="TA60">40.1</Value><Value for="TA62">29.2</Value><Value for="TA63">35.4</Value><Value for="TA64">29.6</Value><Value for="TA65">216.5</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">33.5</Value><Value for="TA7">42.3</Value><Value for="TA70">276.4</Value><Value for="TA71">19.1</Value><Value for="TA72">NaN</Value><Value for="TA73">33.8</Value><Value for="TA74">49.9</Value><Value for="TA75">11.6</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">38.8</ComparisonValue><Property name="dc:title" value="Notifiable Diseases" /><Property name="dc:subject" value="Notifiable Diseases" /><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. It illustrates the actual burden within a population and can be used to compare groups with the same age distribution. " /><Property name="dc:numerator" value="Number of  notifications of the specified disease per annum (ESR)" /><Property name="dc:denominator" value="Linear interpolation of the New Zealand population between census years, using optimal polynomial spine smoothed census population 1991-2006, adjusted for age-region-gender-ethnic under-count in 1996, 2001and 2006 censuses. From 2007 onwards the 2006 census results are used in isolation. Caution should therefore be taken when comparing data post 2007 with earlier years. From 2014 onwards population  data from the 2013 census has been used" /></Indicator><Indicator id="i471" name="Giardiasis incidence: CR per 100,000" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=471&amp;id=12550&amp;norefer=true" ias:uid="12550" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Giardiasis incidence: CR per 100,000" precision="1"><Value for="TA1">41.3</Value><Value for="TA10">NaN</Value><Value for="TA11">22.9</Value><Value for="TA12">56.2</Value><Value for="TA13">61.5</Value><Value for="TA15">44.4</Value><Value for="TA16">50.8</Value><Value for="TA17">53.6</Value><Value for="TA18">NaN</Value><Value for="TA19">22.7</Value><Value for="TA2">31.2</Value><Value for="TA20">NaN</Value><Value for="TA21">66.9</Value><Value for="TA22">52.6</Value><Value for="TA23">58.4</Value><Value for="TA24">53.6</Value><Value for="TA25">24.5</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">32.1</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">58.7</Value><Value for="TA31">24.5</Value><Value for="TA32">NaN</Value><Value for="TA33">32.4</Value><Value for="TA34">144.6</Value><Value for="TA35">45.2</Value><Value for="TA36">50.7</Value><Value for="TA37">19.0</Value><Value for="TA38">NaN</Value><Value for="TA39">25.5</Value><Value for="TA4">NaN</Value><Value for="TA40">22.5</Value><Value for="TA41">NaN</Value><Value for="TA42">16.6</Value><Value for="TA43">38.7</Value><Value for="TA44">29.0</Value><Value for="TA45">17.4</Value><Value for="TA46">31.6</Value><Value for="TA47">71.2</Value><Value for="TA48">55.7</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">52.5</Value><Value for="TA51">29.7</Value><Value for="TA52">25.8</Value><Value for="TA53">103.7</Value><Value for="TA54">NaN</Value><Value for="TA55">NaN</Value><Value for="TA56">59.8</Value><Value for="TA57">NaN</Value><Value for="TA58">104.1</Value><Value for="TA59">56.0</Value><Value for="TA6">NaN</Value><Value for="TA60">35.1</Value><Value for="TA62">29.2</Value><Value for="TA63">25.8</Value><Value for="TA64">25.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">24.0</Value><Value for="TA69">55.9</Value><Value for="TA7">38.8</Value><Value for="TA70">155.9</Value><Value for="TA71">25.8</Value><Value for="TA72">NaN</Value><Value for="TA73">57.4</Value><Value for="TA74">NaN</Value><Value for="TA75">29.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">38.7</ComparisonValue><Property name="dc:title" value="Notifiable Diseases" /><Property name="dc:subject" value="Notifiable Diseases" /><Property name="dc:subject.keyword" value="Notifiable Diseases, Campylobacteriosis, Cryptosporidiosis, Giardiasis, Pertussis, Salmonellaosis" /><Property name="dc:publisher" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:creator" value="Institute of Environmental Science and Research (ESR) for the Ministry of Health" /><Property name="dc:coverage.spatial" value="DHB's" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:type" value="Ratio" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Science and Research (ESR)" /><Property name="dc:measure" value="CR: Crude rates (CR) represent number of people per 100,000 in the New Zealand population who have been diagnosed with the specified disease each year. It illustrates the actual burden within a population and can be used to compare groups with the same age distribution. " /><Property name="dc:numerator" value="Number of  notifications of the specified disease per annum (ESR)" /><Property name="dc:denominator" value="Linear interpolation of the New Zealand population between census years, using optimal polynomial spine smoothed census population 1991-2006, adjusted for age-region-gender-ethnic under-count in 1996, 2001and 2006 censuses. From 2007 onwards the 2006 census results are used in isolation. Caution should therefore be taken when comparing data post 2007 with earlier years. From 2014 onwards population  data from the 2013 census has been used" /></Indicator></Theme><Theme id="fc2031f9-6814-4561-ad91-fbb5da623a02" ias:uid="1127" name="Drinking water quality" xmlns:ias="http://server.instantatlas.com/metadata"><Theme id="Accesstocompliantdrinkingwater" ias:uid="353" name="Access to compliant drinking water" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2120" name="% people with access to bacterial compliant drinking water" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=2120&amp;id=11567&amp;norefer=true" ias:uid="11567" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="% people with access to bacterial compliant drinking water" precision="1"><Value for="TA1">88.4</Value><Value for="TA10">NaN</Value><Value for="TA11">74.1</Value><Value for="TA12">98.8</Value><Value for="TA13">98.2</Value><Value for="TA15">62.1</Value><Value for="TA16">99.9</Value><Value for="TA17">98.9</Value><Value for="TA18">20.0</Value><Value for="TA19">6.5</Value><Value for="TA2">100.0</Value><Value for="TA20">91.8</Value><Value for="TA21">90.9</Value><Value for="TA22">100.0</Value><Value for="TA23">99.9</Value><Value for="TA24">99.4</Value><Value for="TA25">86.8</Value><Value for="TA26">10.4</Value><Value for="TA27">86.2</Value><Value for="TA28">99.4</Value><Value for="TA29">89.4</Value><Value for="TA3">79.8</Value><Value for="TA30">80.0</Value><Value for="TA31">100.0</Value><Value for="TA32">98.1</Value><Value for="TA33">100.0</Value><Value for="TA34">100.0</Value><Value for="TA35">4.3</Value><Value for="TA36">94.9</Value><Value for="TA37">99.7</Value><Value for="TA38">100.0</Value><Value for="TA39">95.2</Value><Value for="TA4">NaN</Value><Value for="TA40">100.0</Value><Value for="TA41">96.5</Value><Value for="TA42">100.0</Value><Value for="TA43">100.0</Value><Value for="TA44">100.0</Value><Value for="TA45">100.0</Value><Value for="TA46">100.0</Value><Value for="TA47">100.0</Value><Value for="TA48">97.8</Value><Value for="TA49">100.0</Value><Value for="TA5">NaN</Value><Value for="TA50">75.1</Value><Value for="TA51">47.5</Value><Value for="TA52">99.7</Value><Value for="TA53">95.3</Value><Value for="TA54">34.6</Value><Value for="TA55">5.1</Value><Value for="TA56">88.4</Value><Value for="TA57">73.5</Value><Value for="TA58">62.6</Value><Value for="TA59">100.0</Value><Value for="TA6">NaN</Value><Value for="TA60">99.8</Value><Value for="TA62">70.5</Value><Value for="TA63">97.9</Value><Value for="TA64">100.0</Value><Value for="TA65">51.9</Value><Value for="TA66">71.2</Value><Value for="TA67">0.0</Value><Value for="TA68">90.3</Value><Value for="TA69">99.2</Value><Value for="TA7">100.0</Value><Value for="TA70">98.2</Value><Value for="TA71">82.9</Value><Value for="TA72">86.6</Value><Value for="TA73">100.0</Value><Value for="TA74">98.5</Value><Value for="TA75">100.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Access to compliant drinking water" /><Property name="dc:description" value="Total number of (a) livestock - dairy and beef cattle, sheep and deer or (b)dairy cattle within the specified TA " /><Property name="dc:subject" value="water quality" /><Property name="dc:subject.keyword" value="drinking water quality, bacteria, protozoa" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="20/11/2010" /><Property name="dc:creator" value="Public Health Units and District Health Boards" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Health Science and Research (ESR) on behalf of the Ministry of Health" /><Property name="measure" value="Percentage" /></Indicator><Indicator id="i2121" name="% people with protozoal compliant drinking water" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=2121&amp;id=11568&amp;norefer=true" ias:uid="11568" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="% people with protozoal compliant drinking water" precision="1"><Value for="TA1">69.0</Value><Value for="TA10">NaN</Value><Value for="TA11">36.3</Value><Value for="TA12">0.0</Value><Value for="TA13">18.9</Value><Value for="TA15">0.0</Value><Value for="TA16">100.0</Value><Value for="TA17">6.5</Value><Value for="TA18">0.0</Value><Value for="TA19">0.0</Value><Value for="TA2">0.3</Value><Value for="TA20">0.0</Value><Value for="TA21">0.0</Value><Value for="TA22">100.0</Value><Value for="TA23">99.8</Value><Value for="TA24">72.2</Value><Value for="TA25">66.1</Value><Value for="TA26">0.0</Value><Value for="TA27">65.7</Value><Value for="TA28">97.8</Value><Value for="TA29">89.4</Value><Value for="TA3">18.8</Value><Value for="TA30">97.9</Value><Value for="TA31">100.0</Value><Value for="TA32">8.5</Value><Value for="TA33">100.0</Value><Value for="TA34">0.0</Value><Value for="TA35">60.4</Value><Value for="TA36">1.8</Value><Value for="TA37">99.7</Value><Value for="TA38">0.0</Value><Value for="TA39">84.9</Value><Value for="TA4">NaN</Value><Value for="TA40">100.0</Value><Value for="TA41">1.8</Value><Value for="TA42">0.0</Value><Value for="TA43">81.6</Value><Value for="TA44">100.0</Value><Value for="TA45">100.0</Value><Value for="TA46">100.0</Value><Value for="TA47">100.0</Value><Value for="TA48">96.2</Value><Value for="TA49">0.0</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">0.0</Value><Value for="TA52">99.7</Value><Value for="TA53">0.0</Value><Value for="TA54">85.6</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">72.0</Value><Value for="TA58">0.0</Value><Value for="TA59">43.6</Value><Value for="TA6">NaN</Value><Value for="TA60">78.8</Value><Value for="TA62">10.9</Value><Value for="TA63">81.5</Value><Value for="TA64">9.5</Value><Value for="TA65">6.1</Value><Value for="TA66">48.7</Value><Value for="TA67">0.0</Value><Value for="TA68">69.3</Value><Value for="TA69">1.0</Value><Value for="TA7">97.7</Value><Value for="TA70">0.0</Value><Value for="TA71">97.2</Value><Value for="TA72">17.4</Value><Value for="TA73">11.6</Value><Value for="TA74">0.0</Value><Value for="TA75">100.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Access to compliant drinking water" /><Property name="dc:description" value="Total number of (a) livestock - dairy and beef cattle, sheep and deer or (b)dairy cattle within the specified TA " /><Property name="dc:subject" value="water quality" /><Property name="dc:subject.keyword" value="drinking water quality, bacteria, protozoa" /><Property name="dc:publisher" value="CPHROnline" /><Property name="dc:date.available" value="20/11/2010" /><Property name="dc:creator" value="Public Health Units and District Health Boards" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Annual" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Institute of Environmental Health Science and Research (ESR) on behalf of the Ministry of Health" /><Property name="measure" value="Percentage" /></Indicator></Theme></Theme><Theme id="ExtremeWeather" ias:uid="728" name="Climate change" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2000" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12569&amp;norefer=true" ias:uid="12569" ias:utime="2000-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">28.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">55.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">43.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">31.0</Value><Value for="TA20">NaN</Value><Value for="TA21">14.0</Value><Value for="TA22">27.0</Value><Value for="TA23">27.0</Value><Value for="TA24">12.0</Value><Value for="TA25">35.0</Value><Value for="TA26">NaN</Value><Value for="TA27">8.0</Value><Value for="TA28">41.0</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">38.0</Value><Value for="TA31">40.0</Value><Value for="TA32">NaN</Value><Value for="TA33">1.0</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">22.0</Value><Value for="TA37">5.0</Value><Value for="TA38">NaN</Value><Value for="TA39">24.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">11.0</Value><Value for="TA42">5.0</Value><Value for="TA43">1.0</Value><Value for="TA44">NaN</Value><Value for="TA45">6.0</Value><Value for="TA46">6.0</Value><Value for="TA47">2.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">10.0</Value><Value for="TA53">29.0</Value><Value for="TA54">12.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">0.0</Value><Value for="TA58">NaN</Value><Value for="TA59">23.0</Value><Value for="TA6">NaN</Value><Value for="TA60">26.0</Value><Value for="TA62">27.0</Value><Value for="TA63">36.0</Value><Value for="TA64">26.0</Value><Value for="TA65">21.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">35.0</Value><Value for="TA70">18.0</Value><Value for="TA71">4.0</Value><Value for="TA72">12.0</Value><Value for="TA73">10.0</Value><Value for="TA74">3.0</Value><Value for="TA75">5.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12570&amp;norefer=true" ias:uid="12570" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">21.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">31.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">28.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">20.0</Value><Value for="TA20">NaN</Value><Value for="TA21">11.0</Value><Value for="TA22">23.0</Value><Value for="TA23">25.0</Value><Value for="TA24">7.0</Value><Value for="TA25">20.0</Value><Value for="TA26">NaN</Value><Value for="TA27">9.0</Value><Value for="TA28">30.0</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">20.0</Value><Value for="TA31">38.0</Value><Value for="TA32">NaN</Value><Value for="TA33">7.0</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">19.0</Value><Value for="TA37">6.0</Value><Value for="TA38">NaN</Value><Value for="TA39">24.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">17.0</Value><Value for="TA42">13.0</Value><Value for="TA43">4.0</Value><Value for="TA44">NaN</Value><Value for="TA45">18.0</Value><Value for="TA46">18.0</Value><Value for="TA47">10.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">9.0</Value><Value for="TA53">39.0</Value><Value for="TA54">14.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">0.0</Value><Value for="TA58">NaN</Value><Value for="TA59">26.0</Value><Value for="TA6">NaN</Value><Value for="TA60">36.0</Value><Value for="TA62">29.0</Value><Value for="TA63">37.0</Value><Value for="TA64">17.0</Value><Value for="TA65">14.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">14.0</Value><Value for="TA69">53.0</Value><Value for="TA7">27.0</Value><Value for="TA70">12.0</Value><Value for="TA71">2.0</Value><Value for="TA72">10.0</Value><Value for="TA73">10.0</Value><Value for="TA74">3.0</Value><Value for="TA75">5.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2002" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12571&amp;norefer=true" ias:uid="12571" ias:utime="2002-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">12.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">32.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">23.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">22.0</Value><Value for="TA20">NaN</Value><Value for="TA21">4.0</Value><Value for="TA22">18.0</Value><Value for="TA23">19.0</Value><Value for="TA24">6.0</Value><Value for="TA25">19.0</Value><Value for="TA26">NaN</Value><Value for="TA27">7.0</Value><Value for="TA28">43.0</Value><Value for="TA29">51.0</Value><Value for="TA3">NaN</Value><Value for="TA30">39.0</Value><Value for="TA31">40.0</Value><Value for="TA32">NaN</Value><Value for="TA33">1.0</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">13.0</Value><Value for="TA37">6.0</Value><Value for="TA38">NaN</Value><Value for="TA39">15.0</Value><Value for="TA4">NaN</Value><Value for="TA40">10.0</Value><Value for="TA41">4.0</Value><Value for="TA42">6.0</Value><Value for="TA43">0.0</Value><Value for="TA44">1.0</Value><Value for="TA45">9.0</Value><Value for="TA46">9.0</Value><Value for="TA47">1.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">9.0</Value><Value for="TA51">5.0</Value><Value for="TA52">5.0</Value><Value for="TA53">23.0</Value><Value for="TA54">10.0</Value><Value for="TA55">3.0</Value><Value for="TA56">NaN</Value><Value for="TA57">4.0</Value><Value for="TA58">NaN</Value><Value for="TA59">14.0</Value><Value for="TA6">NaN</Value><Value for="TA60">19.0</Value><Value for="TA62">17.0</Value><Value for="TA63">26.0</Value><Value for="TA64">16.0</Value><Value for="TA65">9.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">48.0</Value><Value for="TA7">17.0</Value><Value for="TA70">13.0</Value><Value for="TA71">3.0</Value><Value for="TA72">11.0</Value><Value for="TA73">8.0</Value><Value for="TA74">5.0</Value><Value for="TA75">4.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2003" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12572&amp;norefer=true" ias:uid="12572" ias:utime="2003-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">19.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">38.0</Value><Value for="TA13">NaN</Value><Value for="TA15">38.0</Value><Value for="TA16">30.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">NaN</Value><Value for="TA2">25.0</Value><Value for="TA20">NaN</Value><Value for="TA21">11.0</Value><Value for="TA22">15.0</Value><Value for="TA23">15.0</Value><Value for="TA24">5.0</Value><Value for="TA25">14.0</Value><Value for="TA26">NaN</Value><Value for="TA27">6.0</Value><Value for="TA28">37.0</Value><Value for="TA29">45.0</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">36.0</Value><Value for="TA32">NaN</Value><Value for="TA33">9.0</Value><Value for="TA34">3.0</Value><Value for="TA35">NaN</Value><Value for="TA36">22.0</Value><Value for="TA37">10.0</Value><Value for="TA38">NaN</Value><Value for="TA39">31.0</Value><Value for="TA4">NaN</Value><Value for="TA40">16.0</Value><Value for="TA41">17.0</Value><Value for="TA42">15.0</Value><Value for="TA43">5.0</Value><Value for="TA44">NaN</Value><Value for="TA45">12.0</Value><Value for="TA46">12.0</Value><Value for="TA47">7.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">19.0</Value><Value for="TA51">10.0</Value><Value for="TA52">11.0</Value><Value for="TA53">39.0</Value><Value for="TA54">14.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">0.0</Value><Value for="TA58">NaN</Value><Value for="TA59">22.0</Value><Value for="TA6">NaN</Value><Value for="TA60">24.0</Value><Value for="TA62">23.0</Value><Value for="TA63">38.0</Value><Value for="TA64">19.0</Value><Value for="TA65">28.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">17.0</Value><Value for="TA69">63.0</Value><Value for="TA7">18.0</Value><Value for="TA70">18.0</Value><Value for="TA71">6.0</Value><Value for="TA72">9.0</Value><Value for="TA73">8.0</Value><Value for="TA74">8.0</Value><Value for="TA75">1.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2004" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12573&amp;norefer=true" ias:uid="12573" ias:utime="2004-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">27.0</Value><Value for="TA10">NaN</Value><Value for="TA11">27.0</Value><Value for="TA12">38.0</Value><Value for="TA13">14.0</Value><Value for="TA15">NaN</Value><Value for="TA16">24.0</Value><Value for="TA17">NaN</Value><Value for="TA18">27.0</Value><Value for="TA19">NaN</Value><Value for="TA2">32.0</Value><Value for="TA20">27.0</Value><Value for="TA21">13.0</Value><Value for="TA22">13.0</Value><Value for="TA23">19.0</Value><Value for="TA24">8.0</Value><Value for="TA25">16.0</Value><Value for="TA26">NaN</Value><Value for="TA27">9.0</Value><Value for="TA28">40.0</Value><Value for="TA29">33.0</Value><Value for="TA3">20.0</Value><Value for="TA30">20.0</Value><Value for="TA31">45.0</Value><Value for="TA32">NaN</Value><Value for="TA33">0.0</Value><Value for="TA34">1.0</Value><Value for="TA35">NaN</Value><Value for="TA36">16.0</Value><Value for="TA37">7.0</Value><Value for="TA38">NaN</Value><Value for="TA39">19.0</Value><Value for="TA4">NaN</Value><Value for="TA40">16.0</Value><Value for="TA41">16.0</Value><Value for="TA42">6.0</Value><Value for="TA43">2.0</Value><Value for="TA44">NaN</Value><Value for="TA45">10.0</Value><Value for="TA46">10.0</Value><Value for="TA47">3.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">21.0</Value><Value for="TA51">6.0</Value><Value for="TA52">7.0</Value><Value for="TA53">24.0</Value><Value for="TA54">14.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">0.0</Value><Value for="TA58">NaN</Value><Value for="TA59">23.0</Value><Value for="TA6">NaN</Value><Value for="TA60">25.0</Value><Value for="TA62">23.0</Value><Value for="TA63">36.0</Value><Value for="TA64">18.0</Value><Value for="TA65">11.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">16.0</Value><Value for="TA69">40.0</Value><Value for="TA7">26.0</Value><Value for="TA70">8.0</Value><Value for="TA71">9.0</Value><Value for="TA72">14.0</Value><Value for="TA73">11.0</Value><Value for="TA74">9.0</Value><Value for="TA75">5.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2005" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12574&amp;norefer=true" ias:uid="12574" ias:utime="2005-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">41.0</Value><Value for="TA10">NaN</Value><Value for="TA11">35.0</Value><Value for="TA12">47.0</Value><Value for="TA13">29.0</Value><Value for="TA15">43.0</Value><Value for="TA16">40.0</Value><Value for="TA17">40.0</Value><Value for="TA18">43.0</Value><Value for="TA19">NaN</Value><Value for="TA2">35.0</Value><Value for="TA20">43.0</Value><Value for="TA21">15.0</Value><Value for="TA22">35.0</Value><Value for="TA23">34.0</Value><Value for="TA24">13.0</Value><Value for="TA25">35.0</Value><Value for="TA26">NaN</Value><Value for="TA27">24.0</Value><Value for="TA28">49.0</Value><Value for="TA29">61.0</Value><Value for="TA3">15.0</Value><Value for="TA30">12.0</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">10.0</Value><Value for="TA34">8.0</Value><Value for="TA35">3.0</Value><Value for="TA36">23.0</Value><Value for="TA37">13.0</Value><Value for="TA38">NaN</Value><Value for="TA39">26.0</Value><Value for="TA4">NaN</Value><Value for="TA40">29.0</Value><Value for="TA41">20.0</Value><Value for="TA42">19.0</Value><Value for="TA43">12.0</Value><Value for="TA44">4.0</Value><Value for="TA45">18.0</Value><Value for="TA46">18.0</Value><Value for="TA47">5.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">34.0</Value><Value for="TA51">19.0</Value><Value for="TA52">14.0</Value><Value for="TA53">38.0</Value><Value for="TA54">12.0</Value><Value for="TA55">5.0</Value><Value for="TA56">NaN</Value><Value for="TA57">3.0</Value><Value for="TA58">NaN</Value><Value for="TA59">31.0</Value><Value for="TA6">NaN</Value><Value for="TA60">32.0</Value><Value for="TA62">32.0</Value><Value for="TA63">41.0</Value><Value for="TA64">23.0</Value><Value for="TA65">20.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">15.0</Value><Value for="TA69">74.0</Value><Value for="TA7">50.0</Value><Value for="TA70">24.0</Value><Value for="TA71">4.0</Value><Value for="TA72">11.0</Value><Value for="TA73">23.0</Value><Value for="TA74">11.0</Value><Value for="TA75">7.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12526&amp;norefer=true" ias:uid="12526" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">32.0</Value><Value for="TA10">NaN</Value><Value for="TA11">21.0</Value><Value for="TA12">43.0</Value><Value for="TA13">17.0</Value><Value for="TA15">32.0</Value><Value for="TA16">24.0</Value><Value for="TA17">NaN</Value><Value for="TA18">29.0</Value><Value for="TA19">NaN</Value><Value for="TA2">31.0</Value><Value for="TA20">29.0</Value><Value for="TA21">9.0</Value><Value for="TA22">28.0</Value><Value for="TA23">24.0</Value><Value for="TA24">10.0</Value><Value for="TA25">27.0</Value><Value for="TA26">NaN</Value><Value for="TA27">18.0</Value><Value for="TA28">50.0</Value><Value for="TA29">NaN</Value><Value for="TA3">15.0</Value><Value for="TA30">32.0</Value><Value for="TA31">54.0</Value><Value for="TA32">NaN</Value><Value for="TA33">5.0</Value><Value for="TA34">4.0</Value><Value for="TA35">4.0</Value><Value for="TA36">19.0</Value><Value for="TA37">6.0</Value><Value for="TA38">NaN</Value><Value for="TA39">17.0</Value><Value for="TA4">NaN</Value><Value for="TA40">18.0</Value><Value for="TA41">8.0</Value><Value for="TA42">10.0</Value><Value for="TA43">3.0</Value><Value for="TA44">NaN</Value><Value for="TA45">8.0</Value><Value for="TA46">8.0</Value><Value for="TA47">2.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">24.0</Value><Value for="TA51">14.0</Value><Value for="TA52">11.0</Value><Value for="TA53">28.0</Value><Value for="TA54">9.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">0.0</Value><Value for="TA58">NaN</Value><Value for="TA59">24.0</Value><Value for="TA6">NaN</Value><Value for="TA60">29.0</Value><Value for="TA62">23.0</Value><Value for="TA63">46.0</Value><Value for="TA64">22.0</Value><Value for="TA65">13.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">21.0</Value><Value for="TA69">56.0</Value><Value for="TA7">41.0</Value><Value for="TA70">16.0</Value><Value for="TA71">7.0</Value><Value for="TA72">12.0</Value><Value for="TA73">7.0</Value><Value for="TA74">6.0</Value><Value for="TA75">4.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2007" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12527&amp;norefer=true" ias:uid="12527" ias:utime="2007-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">22.0</Value><Value for="TA10">NaN</Value><Value for="TA11">38.0</Value><Value for="TA12">42.0</Value><Value for="TA13">21.0</Value><Value for="TA15">40.0</Value><Value for="TA16">31.0</Value><Value for="TA17">40.0</Value><Value for="TA18">36.0</Value><Value for="TA19">NaN</Value><Value for="TA2">22.0</Value><Value for="TA20">36.0</Value><Value for="TA21">9.0</Value><Value for="TA22">22.0</Value><Value for="TA23">18.0</Value><Value for="TA24">6.0</Value><Value for="TA25">20.0</Value><Value for="TA26">NaN</Value><Value for="TA27">19.0</Value><Value for="TA28">51.0</Value><Value for="TA29">54.0</Value><Value for="TA3">15.0</Value><Value for="TA30">26.0</Value><Value for="TA31">37.0</Value><Value for="TA32">NaN</Value><Value for="TA33">2.0</Value><Value for="TA34">2.0</Value><Value for="TA35">3.0</Value><Value for="TA36">18.0</Value><Value for="TA37">13.0</Value><Value for="TA38">NaN</Value><Value for="TA39">31.0</Value><Value for="TA4">NaN</Value><Value for="TA40">20.0</Value><Value for="TA41">22.0</Value><Value for="TA42">7.0</Value><Value for="TA43">3.0</Value><Value for="TA44">3.0</Value><Value for="TA45">11.0</Value><Value for="TA46">11.0</Value><Value for="TA47">4.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">34.0</Value><Value for="TA51">18.0</Value><Value for="TA52">11.0</Value><Value for="TA53">38.0</Value><Value for="TA54">11.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">1.0</Value><Value for="TA58">41.0</Value><Value for="TA59">22.0</Value><Value for="TA6">NaN</Value><Value for="TA60">24.0</Value><Value for="TA62">25.0</Value><Value for="TA63">36.0</Value><Value for="TA64">20.0</Value><Value for="TA65">23.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">22.0</Value><Value for="TA69">77.0</Value><Value for="TA7">34.0</Value><Value for="TA70">23.0</Value><Value for="TA71">9.0</Value><Value for="TA72">11.0</Value><Value for="TA73">14.0</Value><Value for="TA74">5.0</Value><Value for="TA75">6.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2008" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12528&amp;norefer=true" ias:uid="12528" ias:utime="2008-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">24.0</Value><Value for="TA10">NaN</Value><Value for="TA11">45.0</Value><Value for="TA12">63.0</Value><Value for="TA13">45.0</Value><Value for="TA15">60.0</Value><Value for="TA16">64.0</Value><Value for="TA17">65.0</Value><Value for="TA18">65.0</Value><Value for="TA19">NaN</Value><Value for="TA2">30.0</Value><Value for="TA20">65.0</Value><Value for="TA21">22.0</Value><Value for="TA22">24.0</Value><Value for="TA23">34.0</Value><Value for="TA24">15.0</Value><Value for="TA25">24.0</Value><Value for="TA26">NaN</Value><Value for="TA27">23.0</Value><Value for="TA28">50.0</Value><Value for="TA29">59.0</Value><Value for="TA3">22.0</Value><Value for="TA30">30.0</Value><Value for="TA31">49.0</Value><Value for="TA32">56.0</Value><Value for="TA33">10.0</Value><Value for="TA34">6.0</Value><Value for="TA35">10.0</Value><Value for="TA36">40.0</Value><Value for="TA37">19.0</Value><Value for="TA38">21.0</Value><Value for="TA39">44.0</Value><Value for="TA4">NaN</Value><Value for="TA40">36.0</Value><Value for="TA41">37.0</Value><Value for="TA42">21.0</Value><Value for="TA43">9.0</Value><Value for="TA44">5.0</Value><Value for="TA45">25.0</Value><Value for="TA46">25.0</Value><Value for="TA47">8.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">48.0</Value><Value for="TA51">32.0</Value><Value for="TA52">14.0</Value><Value for="TA53">37.0</Value><Value for="TA54">15.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">0.0</Value><Value for="TA58">56.0</Value><Value for="TA59">33.0</Value><Value for="TA6">NaN</Value><Value for="TA60">32.0</Value><Value for="TA62">29.0</Value><Value for="TA63">55.0</Value><Value for="TA64">34.0</Value><Value for="TA65">30.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">22.0</Value><Value for="TA69">75.0</Value><Value for="TA7">51.0</Value><Value for="TA70">33.0</Value><Value for="TA71">11.0</Value><Value for="TA72">17.0</Value><Value for="TA73">27.0</Value><Value for="TA74">17.0</Value><Value for="TA75">9.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2009" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12529&amp;norefer=true" ias:uid="12529" ias:utime="2009-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">46.0</Value><Value for="TA10">NaN</Value><Value for="TA11">37.0</Value><Value for="TA12">52.0</Value><Value for="TA13">20.0</Value><Value for="TA15">39.0</Value><Value for="TA16">31.0</Value><Value for="TA17">39.0</Value><Value for="TA18">37.0</Value><Value for="TA19">NaN</Value><Value for="TA2">50.0</Value><Value for="TA20">37.0</Value><Value for="TA21">21.0</Value><Value for="TA22">NaN</Value><Value for="TA23">46.0</Value><Value for="TA24">20.0</Value><Value for="TA25">28.0</Value><Value for="TA26">NaN</Value><Value for="TA27">19.0</Value><Value for="TA28">58.0</Value><Value for="TA29">NaN</Value><Value for="TA3">20.0</Value><Value for="TA30">42.0</Value><Value for="TA31">52.0</Value><Value for="TA32">41.0</Value><Value for="TA33">0.0</Value><Value for="TA34">3.0</Value><Value for="TA35">4.0</Value><Value for="TA36">21.0</Value><Value for="TA37">4.0</Value><Value for="TA38">6.0</Value><Value for="TA39">15.0</Value><Value for="TA4">NaN</Value><Value for="TA40">13.0</Value><Value for="TA41">18.0</Value><Value for="TA42">1.0</Value><Value for="TA43">0.0</Value><Value for="TA44">0.0</Value><Value for="TA45">13.0</Value><Value for="TA46">13.0</Value><Value for="TA47">3.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">20.0</Value><Value for="TA51">21.0</Value><Value for="TA52">13.0</Value><Value for="TA53">38.0</Value><Value for="TA54">18.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">34.0</Value><Value for="TA59">34.0</Value><Value for="TA6">NaN</Value><Value for="TA60">36.0</Value><Value for="TA62">39.0</Value><Value for="TA63">43.0</Value><Value for="TA64">35.0</Value><Value for="TA65">21.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">20.0</Value><Value for="TA69">57.0</Value><Value for="TA7">33.0</Value><Value for="TA70">15.0</Value><Value for="TA71">14.0</Value><Value for="TA72">15.0</Value><Value for="TA73">13.0</Value><Value for="TA74">8.0</Value><Value for="TA75">7.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2010" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12530&amp;norefer=true" ias:uid="12530" ias:utime="2010-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">53.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">66.0</Value><Value for="TA13">39.0</Value><Value for="TA15">49.0</Value><Value for="TA16">50.0</Value><Value for="TA17">57.0</Value><Value for="TA18">46.0</Value><Value for="TA19">NaN</Value><Value for="TA2">52.0</Value><Value for="TA20">46.0</Value><Value for="TA21">16.0</Value><Value for="TA22">29.0</Value><Value for="TA23">39.0</Value><Value for="TA24">7.0</Value><Value for="TA25">38.0</Value><Value for="TA26">76.0</Value><Value for="TA27">22.0</Value><Value for="TA28">57.0</Value><Value for="TA29">56.0</Value><Value for="TA3">26.0</Value><Value for="TA30">37.0</Value><Value for="TA31">58.0</Value><Value for="TA32">36.0</Value><Value for="TA33">8.0</Value><Value for="TA34">0.0</Value><Value for="TA35">2.0</Value><Value for="TA36">33.0</Value><Value for="TA37">8.0</Value><Value for="TA38">22.0</Value><Value for="TA39">31.0</Value><Value for="TA4">NaN</Value><Value for="TA40">25.0</Value><Value for="TA41">23.0</Value><Value for="TA42">9.0</Value><Value for="TA43">6.0</Value><Value for="TA44">1.0</Value><Value for="TA45">28.0</Value><Value for="TA46">28.0</Value><Value for="TA47">2.0</Value><Value for="TA48">48.0</Value><Value for="TA49">48.0</Value><Value for="TA5">NaN</Value><Value for="TA50">46.0</Value><Value for="TA51">25.0</Value><Value for="TA52">14.0</Value><Value for="TA53">43.0</Value><Value for="TA54">22.0</Value><Value for="TA55">2.0</Value><Value for="TA56">5.0</Value><Value for="TA57">2.0</Value><Value for="TA58">47.0</Value><Value for="TA59">43.0</Value><Value for="TA6">NaN</Value><Value for="TA60">38.0</Value><Value for="TA62">37.0</Value><Value for="TA63">63.0</Value><Value for="TA64">32.0</Value><Value for="TA65">25.0</Value><Value for="TA66">23.0</Value><Value for="TA67">NaN</Value><Value for="TA68">32.0</Value><Value for="TA69">79.0</Value><Value for="TA7">50.0</Value><Value for="TA70">23.0</Value><Value for="TA71">10.0</Value><Value for="TA72">18.0</Value><Value for="TA73">NaN</Value><Value for="TA74">6.0</Value><Value for="TA75">6.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2011" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12531&amp;norefer=true" ias:uid="12531" ias:utime="2011-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">37.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">52.0</Value><Value for="TA13">35.0</Value><Value for="TA15">52.0</Value><Value for="TA16">44.0</Value><Value for="TA17">53.0</Value><Value for="TA18">38.0</Value><Value for="TA19">0.0</Value><Value for="TA2">38.0</Value><Value for="TA20">38.0</Value><Value for="TA21">15.0</Value><Value for="TA22">29.0</Value><Value for="TA23">33.0</Value><Value for="TA24">16.0</Value><Value for="TA25">30.0</Value><Value for="TA26">71.0</Value><Value for="TA27">24.0</Value><Value for="TA28">49.0</Value><Value for="TA29">51.0</Value><Value for="TA3">30.0</Value><Value for="TA30">29.0</Value><Value for="TA31">48.0</Value><Value for="TA32">36.0</Value><Value for="TA33">9.0</Value><Value for="TA34">3.0</Value><Value for="TA35">7.0</Value><Value for="TA36">27.0</Value><Value for="TA37">9.0</Value><Value for="TA38">17.0</Value><Value for="TA39">21.0</Value><Value for="TA4">NaN</Value><Value for="TA40">17.0</Value><Value for="TA41">26.0</Value><Value for="TA42">11.0</Value><Value for="TA43">6.0</Value><Value for="TA44">1.0</Value><Value for="TA45">10.0</Value><Value for="TA46">10.0</Value><Value for="TA47">2.0</Value><Value for="TA48">45.0</Value><Value for="TA49">45.0</Value><Value for="TA5">NaN</Value><Value for="TA50">36.0</Value><Value for="TA51">17.0</Value><Value for="TA52">17.0</Value><Value for="TA53">36.0</Value><Value for="TA54">18.0</Value><Value for="TA55">1.0</Value><Value for="TA56">0.0</Value><Value for="TA57">1.0</Value><Value for="TA58">36.0</Value><Value for="TA59">33.0</Value><Value for="TA6">NaN</Value><Value for="TA60">28.0</Value><Value for="TA62">22.0</Value><Value for="TA63">40.0</Value><Value for="TA64">17.0</Value><Value for="TA65">10.0</Value><Value for="TA66">13.0</Value><Value for="TA67">NaN</Value><Value for="TA68">13.0</Value><Value for="TA69">57.0</Value><Value for="TA7">42.0</Value><Value for="TA70">21.0</Value><Value for="TA71">5.0</Value><Value for="TA72">NaN</Value><Value for="TA73">12.0</Value><Value for="TA74">7.0</Value><Value for="TA75">1.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12532&amp;norefer=true" ias:uid="12532" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">15.0</Value><Value for="TA10">NaN</Value><Value for="TA11">15.0</Value><Value for="TA12">24.0</Value><Value for="TA13">12.0</Value><Value for="TA15">19.0</Value><Value for="TA16">19.0</Value><Value for="TA17">25.0</Value><Value for="TA18">21.0</Value><Value for="TA19">0.0</Value><Value for="TA2">25.0</Value><Value for="TA20">21.0</Value><Value for="TA21">4.0</Value><Value for="TA22">8.0</Value><Value for="TA23">20.0</Value><Value for="TA24">2.0</Value><Value for="TA25">16.0</Value><Value for="TA26">28.0</Value><Value for="TA27">12.0</Value><Value for="TA28">39.0</Value><Value for="TA29">45.0</Value><Value for="TA3">8.0</Value><Value for="TA30">26.0</Value><Value for="TA31">39.0</Value><Value for="TA32">31.0</Value><Value for="TA33">4.0</Value><Value for="TA34">1.0</Value><Value for="TA35">1.0</Value><Value for="TA36">NaN</Value><Value for="TA37">11.0</Value><Value for="TA38">12.0</Value><Value for="TA39">14.0</Value><Value for="TA4">NaN</Value><Value for="TA40">11.0</Value><Value for="TA41">9.0</Value><Value for="TA42">7.0</Value><Value for="TA43">4.0</Value><Value for="TA44">3.0</Value><Value for="TA45">5.0</Value><Value for="TA46">5.0</Value><Value for="TA47">3.0</Value><Value for="TA48">24.0</Value><Value for="TA49">24.0</Value><Value for="TA5">NaN</Value><Value for="TA50">14.0</Value><Value for="TA51">9.0</Value><Value for="TA52">7.0</Value><Value for="TA53">33.0</Value><Value for="TA54">8.0</Value><Value for="TA55">2.0</Value><Value for="TA56">1.0</Value><Value for="TA57">3.0</Value><Value for="TA58">30.0</Value><Value for="TA59">26.0</Value><Value for="TA6">NaN</Value><Value for="TA60">21.0</Value><Value for="TA62">19.0</Value><Value for="TA63">28.0</Value><Value for="TA64">19.0</Value><Value for="TA65">9.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">10.0</Value><Value for="TA69">59.0</Value><Value for="TA7">16.0</Value><Value for="TA70">19.0</Value><Value for="TA71">4.0</Value><Value for="TA72">7.0</Value><Value for="TA73">11.0</Value><Value for="TA74">4.0</Value><Value for="TA75">5.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i1560" name="Number of Days over 25 degrees celcius" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=1560&amp;id=12575&amp;norefer=true" ias:uid="12575" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Number of Days over 25 degrees celcius" precision="1"><Value for="TA1">47.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">66.0</Value><Value for="TA13">NaN</Value><Value for="TA15">57.0</Value><Value for="TA16">65.0</Value><Value for="TA17">NaN</Value><Value for="TA18">58.0</Value><Value for="TA19">0.0</Value><Value for="TA2">41.0</Value><Value for="TA20">58.0</Value><Value for="TA21">32.0</Value><Value for="TA22">37.0</Value><Value for="TA23">36.0</Value><Value for="TA24">26.0</Value><Value for="TA25">46.0</Value><Value for="TA26">86.0</Value><Value for="TA27">35.0</Value><Value for="TA28">49.0</Value><Value for="TA29">70.0</Value><Value for="TA3">39.0</Value><Value for="TA30">27.0</Value><Value for="TA31">45.0</Value><Value for="TA32">57.0</Value><Value for="TA33">8.0</Value><Value for="TA34">4.0</Value><Value for="TA35">1.0</Value><Value for="TA36">NaN</Value><Value for="TA37">10.0</Value><Value for="TA38">20.0</Value><Value for="TA39">46.0</Value><Value for="TA4">NaN</Value><Value for="TA40">34.0</Value><Value for="TA41">39.0</Value><Value for="TA42">11.0</Value><Value for="TA43">4.0</Value><Value for="TA44">4.0</Value><Value for="TA45">13.0</Value><Value for="TA46">13.0</Value><Value for="TA47">3.0</Value><Value for="TA48">62.0</Value><Value for="TA49">62.0</Value><Value for="TA5">NaN</Value><Value for="TA50">38.0</Value><Value for="TA51">NaN</Value><Value for="TA52">7.0</Value><Value for="TA53">38.0</Value><Value for="TA54">12.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">44.0</Value><Value for="TA59">40.0</Value><Value for="TA6">NaN</Value><Value for="TA60">33.0</Value><Value for="TA62">29.0</Value><Value for="TA63">49.0</Value><Value for="TA64">20.0</Value><Value for="TA65">30.0</Value><Value for="TA66">14.0</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">80.0</Value><Value for="TA7">47.0</Value><Value for="TA70">31.0</Value><Value for="TA71">9.0</Value><Value for="TA72">18.0</Value><Value for="TA73">23.0</Value><Value for="TA74">16.0</Value><Value for="TA75">12.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a maximum air temperature &gt;25°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2000" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12576&amp;norefer=true" ias:uid="12576" ias:utime="2000-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">9.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">16.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">38.0</Value><Value for="TA2">NaN</Value><Value for="TA20">4.0</Value><Value for="TA21">62.0</Value><Value for="TA22">0.0</Value><Value for="TA23">30.0</Value><Value for="TA24">28.0</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">2.0</Value><Value for="TA28">1.0</Value><Value for="TA29">1.0</Value><Value for="TA3">NaN</Value><Value for="TA30">31.0</Value><Value for="TA31">7.0</Value><Value for="TA32">NaN</Value><Value for="TA33">0.0</Value><Value for="TA34">45.0</Value><Value for="TA35">NaN</Value><Value for="TA36">25.0</Value><Value for="TA37">8.0</Value><Value for="TA38">22.0</Value><Value for="TA39">19.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">0.0</Value><Value for="TA42">9.0</Value><Value for="TA43">21.0</Value><Value for="TA44">58.0</Value><Value for="TA45">NaN</Value><Value for="TA46">30.0</Value><Value for="TA47">8.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">21.0</Value><Value for="TA51">NaN</Value><Value for="TA52">6.0</Value><Value for="TA53">7.0</Value><Value for="TA54">0.0</Value><Value for="TA55">1.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">17.0</Value><Value for="TA62">NaN</Value><Value for="TA63">22.0</Value><Value for="TA64">55.0</Value><Value for="TA65">88.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">NaN</Value><Value for="TA7">0.0</Value><Value for="TA70">NaN</Value><Value for="TA71">8.0</Value><Value for="TA72">24.0</Value><Value for="TA73">NaN</Value><Value for="TA74">32.0</Value><Value for="TA75">33.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12577&amp;norefer=true" ias:uid="12577" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">19.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">23.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">33.0</Value><Value for="TA2">NaN</Value><Value for="TA20">5.0</Value><Value for="TA21">68.0</Value><Value for="TA22">0.0</Value><Value for="TA23">29.0</Value><Value for="TA24">38.0</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">6.0</Value><Value for="TA28">0.0</Value><Value for="TA29">6.0</Value><Value for="TA3">NaN</Value><Value for="TA30">35.0</Value><Value for="TA31">12.0</Value><Value for="TA32">NaN</Value><Value for="TA33">1.0</Value><Value for="TA34">53.0</Value><Value for="TA35">NaN</Value><Value for="TA36">49.0</Value><Value for="TA37">24.0</Value><Value for="TA38">28.0</Value><Value for="TA39">25.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">0.0</Value><Value for="TA42">23.0</Value><Value for="TA43">21.0</Value><Value for="TA44">73.0</Value><Value for="TA45">NaN</Value><Value for="TA46">29.0</Value><Value for="TA47">19.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">22.0</Value><Value for="TA51">NaN</Value><Value for="TA52">31.0</Value><Value for="TA53">24.0</Value><Value for="TA54">1.0</Value><Value for="TA55">4.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">46.0</Value><Value for="TA62">NaN</Value><Value for="TA63">50.0</Value><Value for="TA64">72.0</Value><Value for="TA65">94.0</Value><Value for="TA66">87.0</Value><Value for="TA67">NaN</Value><Value for="TA68">1.0</Value><Value for="TA69">88.0</Value><Value for="TA7">1.0</Value><Value for="TA70">NaN</Value><Value for="TA71">8.0</Value><Value for="TA72">24.0</Value><Value for="TA73">NaN</Value><Value for="TA74">32.0</Value><Value for="TA75">31.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2002" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12578&amp;norefer=true" ias:uid="12578" ias:utime="2002-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">5.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">12.0</Value><Value for="TA17">NaN</Value><Value for="TA18">18.0</Value><Value for="TA19">20.0</Value><Value for="TA2">24.0</Value><Value for="TA20">4.0</Value><Value for="TA21">71.0</Value><Value for="TA22">0.0</Value><Value for="TA23">18.0</Value><Value for="TA24">22.0</Value><Value for="TA25">NaN</Value><Value for="TA26">NaN</Value><Value for="TA27">5.0</Value><Value for="TA28">1.0</Value><Value for="TA29">0.0</Value><Value for="TA3">NaN</Value><Value for="TA30">20.0</Value><Value for="TA31">4.0</Value><Value for="TA32">NaN</Value><Value for="TA33">0.0</Value><Value for="TA34">44.0</Value><Value for="TA35">NaN</Value><Value for="TA36">42.0</Value><Value for="TA37">9.0</Value><Value for="TA38">17.0</Value><Value for="TA39">6.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">0.0</Value><Value for="TA42">5.0</Value><Value for="TA43">7.0</Value><Value for="TA44">66.0</Value><Value for="TA45">NaN</Value><Value for="TA46">18.0</Value><Value for="TA47">9.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">5.0</Value><Value for="TA51">NaN</Value><Value for="TA52">9.0</Value><Value for="TA53">11.0</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">0.0</Value><Value for="TA6">NaN</Value><Value for="TA60">27.0</Value><Value for="TA62">NaN</Value><Value for="TA63">47.0</Value><Value for="TA64">58.0</Value><Value for="TA65">107.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">79.0</Value><Value for="TA7">0.0</Value><Value for="TA70">NaN</Value><Value for="TA71">4.0</Value><Value for="TA72">34.0</Value><Value for="TA73">32.0</Value><Value for="TA74">31.0</Value><Value for="TA75">24.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2003" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12579&amp;norefer=true" ias:uid="12579" ias:utime="2003-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">15.0</Value><Value for="TA13">NaN</Value><Value for="TA15">13.0</Value><Value for="TA16">23.0</Value><Value for="TA17">NaN</Value><Value for="TA18">15.0</Value><Value for="TA19">33.0</Value><Value for="TA2">29.0</Value><Value for="TA20">4.0</Value><Value for="TA21">73.0</Value><Value for="TA22">0.0</Value><Value for="TA23">25.0</Value><Value for="TA24">31.0</Value><Value for="TA25">9.0</Value><Value for="TA26">NaN</Value><Value for="TA27">3.0</Value><Value for="TA28">0.0</Value><Value for="TA29">1.0</Value><Value for="TA3">NaN</Value><Value for="TA30">NaN</Value><Value for="TA31">3.0</Value><Value for="TA32">NaN</Value><Value for="TA33">1.0</Value><Value for="TA34">49.0</Value><Value for="TA35">NaN</Value><Value for="TA36">36.0</Value><Value for="TA37">11.0</Value><Value for="TA38">19.0</Value><Value for="TA39">22.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">2.0</Value><Value for="TA42">15.0</Value><Value for="TA43">17.0</Value><Value for="TA44">83.0</Value><Value for="TA45">NaN</Value><Value for="TA46">25.0</Value><Value for="TA47">7.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">19.0</Value><Value for="TA51">NaN</Value><Value for="TA52">18.0</Value><Value for="TA53">19.0</Value><Value for="TA54">0.0</Value><Value for="TA55">1.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">3.0</Value><Value for="TA6">NaN</Value><Value for="TA60">24.0</Value><Value for="TA62">NaN</Value><Value for="TA63">37.0</Value><Value for="TA64">47.0</Value><Value for="TA65">105.0</Value><Value for="TA66">62.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">104.0</Value><Value for="TA7">0.0</Value><Value for="TA70">NaN</Value><Value for="TA71">5.0</Value><Value for="TA72">41.0</Value><Value for="TA73">52.0</Value><Value for="TA74">34.0</Value><Value for="TA75">32.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2004" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12580&amp;norefer=true" ias:uid="12580" ias:utime="2004-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">6.0</Value><Value for="TA12">19.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">27.0</Value><Value for="TA17">18.0</Value><Value for="TA18">16.0</Value><Value for="TA19">36.0</Value><Value for="TA2">27.0</Value><Value for="TA20">8.0</Value><Value for="TA21">88.0</Value><Value for="TA22">0.0</Value><Value for="TA23">30.0</Value><Value for="TA24">36.0</Value><Value for="TA25">10.0</Value><Value for="TA26">NaN</Value><Value for="TA27">11.0</Value><Value for="TA28">0.0</Value><Value for="TA29">2.0</Value><Value for="TA3">0.0</Value><Value for="TA30">38.0</Value><Value for="TA31">7.0</Value><Value for="TA32">NaN</Value><Value for="TA33">0.0</Value><Value for="TA34">52.0</Value><Value for="TA35">NaN</Value><Value for="TA36">40.0</Value><Value for="TA37">15.0</Value><Value for="TA38">28.0</Value><Value for="TA39">22.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">0.0</Value><Value for="TA42">21.0</Value><Value for="TA43">19.0</Value><Value for="TA44">86.0</Value><Value for="TA45">NaN</Value><Value for="TA46">30.0</Value><Value for="TA47">11.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">18.0</Value><Value for="TA51">4.0</Value><Value for="TA52">26.0</Value><Value for="TA53">26.0</Value><Value for="TA54">0.0</Value><Value for="TA55">2.0</Value><Value for="TA56">NaN</Value><Value for="TA57">18.0</Value><Value for="TA58">NaN</Value><Value for="TA59">4.0</Value><Value for="TA6">NaN</Value><Value for="TA60">28.0</Value><Value for="TA62">NaN</Value><Value for="TA63">42.0</Value><Value for="TA64">42.0</Value><Value for="TA65">110.0</Value><Value for="TA66">65.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">101.0</Value><Value for="TA7">1.0</Value><Value for="TA70">NaN</Value><Value for="TA71">4.0</Value><Value for="TA72">45.0</Value><Value for="TA73">44.0</Value><Value for="TA74">42.0</Value><Value for="TA75">45.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2005" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12581&amp;norefer=true" ias:uid="12581" ias:utime="2005-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">2.0</Value><Value for="TA12">9.0</Value><Value for="TA13">20.0</Value><Value for="TA15">10.0</Value><Value for="TA16">16.0</Value><Value for="TA17">10.0</Value><Value for="TA18">11.0</Value><Value for="TA19">24.0</Value><Value for="TA2">19.0</Value><Value for="TA20">4.0</Value><Value for="TA21">55.0</Value><Value for="TA22">0.0</Value><Value for="TA23">18.0</Value><Value for="TA24">15.0</Value><Value for="TA25">4.0</Value><Value for="TA26">NaN</Value><Value for="TA27">8.0</Value><Value for="TA28">1.0</Value><Value for="TA29">0.0</Value><Value for="TA3">0.0</Value><Value for="TA30">43.0</Value><Value for="TA31">NaN</Value><Value for="TA32">NaN</Value><Value for="TA33">1.0</Value><Value for="TA34">32.0</Value><Value for="TA35">NaN</Value><Value for="TA36">30.0</Value><Value for="TA37">6.0</Value><Value for="TA38">17.0</Value><Value for="TA39">12.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">0.0</Value><Value for="TA42">7.0</Value><Value for="TA43">11.0</Value><Value for="TA44">69.0</Value><Value for="TA45">NaN</Value><Value for="TA46">18.0</Value><Value for="TA47">12.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">14.0</Value><Value for="TA51">2.0</Value><Value for="TA52">5.0</Value><Value for="TA53">12.0</Value><Value for="TA54">0.0</Value><Value for="TA55">1.0</Value><Value for="TA56">NaN</Value><Value for="TA57">10.0</Value><Value for="TA58">NaN</Value><Value for="TA59">6.0</Value><Value for="TA6">NaN</Value><Value for="TA60">19.0</Value><Value for="TA62">2.0</Value><Value for="TA63">33.0</Value><Value for="TA64">46.0</Value><Value for="TA65">96.0</Value><Value for="TA66">52.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">92.0</Value><Value for="TA7">0.0</Value><Value for="TA70">NaN</Value><Value for="TA71">5.0</Value><Value for="TA72">37.0</Value><Value for="TA73">37.0</Value><Value for="TA74">29.0</Value><Value for="TA75">25.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12582&amp;norefer=true" ias:uid="12582" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">5.0</Value><Value for="TA12">25.0</Value><Value for="TA13">NaN</Value><Value for="TA15">18.0</Value><Value for="TA16">29.0</Value><Value for="TA17">23.0</Value><Value for="TA18">20.0</Value><Value for="TA19">37.0</Value><Value for="TA2">29.0</Value><Value for="TA20">7.0</Value><Value for="TA21">78.0</Value><Value for="TA22">0.0</Value><Value for="TA23">28.0</Value><Value for="TA24">38.0</Value><Value for="TA25">13.0</Value><Value for="TA26">NaN</Value><Value for="TA27">5.0</Value><Value for="TA28">1.0</Value><Value for="TA29">1.0</Value><Value for="TA3">3.0</Value><Value for="TA30">31.0</Value><Value for="TA31">6.0</Value><Value for="TA32">NaN</Value><Value for="TA33">2.0</Value><Value for="TA34">45.0</Value><Value for="TA35">NaN</Value><Value for="TA36">36.0</Value><Value for="TA37">18.0</Value><Value for="TA38">26.0</Value><Value for="TA39">15.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">2.0</Value><Value for="TA42">17.0</Value><Value for="TA43">18.0</Value><Value for="TA44">73.0</Value><Value for="TA45">NaN</Value><Value for="TA46">28.0</Value><Value for="TA47">15.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">17.0</Value><Value for="TA51">1.0</Value><Value for="TA52">19.0</Value><Value for="TA53">18.0</Value><Value for="TA54">0.0</Value><Value for="TA55">2.0</Value><Value for="TA56">NaN</Value><Value for="TA57">23.0</Value><Value for="TA58">NaN</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">26.0</Value><Value for="TA62">12.0</Value><Value for="TA63">43.0</Value><Value for="TA64">39.0</Value><Value for="TA65">108.0</Value><Value for="TA66">68.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">110.0</Value><Value for="TA7">2.0</Value><Value for="TA70">NaN</Value><Value for="TA71">13.0</Value><Value for="TA72">35.0</Value><Value for="TA73">40.0</Value><Value for="TA74">44.0</Value><Value for="TA75">42.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2007" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12583&amp;norefer=true" ias:uid="12583" ias:utime="2007-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">8.0</Value><Value for="TA13">12.0</Value><Value for="TA15">7.0</Value><Value for="TA16">8.0</Value><Value for="TA17">13.0</Value><Value for="TA18">8.0</Value><Value for="TA19">39.0</Value><Value for="TA2">25.0</Value><Value for="TA20">1.0</Value><Value for="TA21">66.0</Value><Value for="TA22">0.0</Value><Value for="TA23">25.0</Value><Value for="TA24">29.0</Value><Value for="TA25">9.0</Value><Value for="TA26">NaN</Value><Value for="TA27">4.0</Value><Value for="TA28">0.0</Value><Value for="TA29">2.0</Value><Value for="TA3">0.0</Value><Value for="TA30">16.0</Value><Value for="TA31">2.0</Value><Value for="TA32">NaN</Value><Value for="TA33">4.0</Value><Value for="TA34">35.0</Value><Value for="TA35">NaN</Value><Value for="TA36">40.0</Value><Value for="TA37">20.0</Value><Value for="TA38">16.0</Value><Value for="TA39">10.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">0.0</Value><Value for="TA42">18.0</Value><Value for="TA43">11.0</Value><Value for="TA44">74.0</Value><Value for="TA45">NaN</Value><Value for="TA46">25.0</Value><Value for="TA47">8.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">12.0</Value><Value for="TA51">3.0</Value><Value for="TA52">22.0</Value><Value for="TA53">23.0</Value><Value for="TA54">0.0</Value><Value for="TA55">1.0</Value><Value for="TA56">NaN</Value><Value for="TA57">13.0</Value><Value for="TA58">29.0</Value><Value for="TA59">0.0</Value><Value for="TA6">NaN</Value><Value for="TA60">27.0</Value><Value for="TA62">11.0</Value><Value for="TA63">38.0</Value><Value for="TA64">42.0</Value><Value for="TA65">94.0</Value><Value for="TA66">62.0</Value><Value for="TA67">NaN</Value><Value for="TA68">1.0</Value><Value for="TA69">93.0</Value><Value for="TA7">0.0</Value><Value for="TA70">NaN</Value><Value for="TA71">14.0</Value><Value for="TA72">31.0</Value><Value for="TA73">42.0</Value><Value for="TA74">37.0</Value><Value for="TA75">33.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2008" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12584&amp;norefer=true" ias:uid="12584" ias:utime="2008-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">1.0</Value><Value for="TA10">NaN</Value><Value for="TA11">3.0</Value><Value for="TA12">7.0</Value><Value for="TA13">17.0</Value><Value for="TA15">8.0</Value><Value for="TA16">13.0</Value><Value for="TA17">11.0</Value><Value for="TA18">15.0</Value><Value for="TA19">25.0</Value><Value for="TA2">22.0</Value><Value for="TA20">7.0</Value><Value for="TA21">68.0</Value><Value for="TA22">0.0</Value><Value for="TA23">29.0</Value><Value for="TA24">23.0</Value><Value for="TA25">6.0</Value><Value for="TA26">NaN</Value><Value for="TA27">11.0</Value><Value for="TA28">2.0</Value><Value for="TA29">0.0</Value><Value for="TA3">0.0</Value><Value for="TA30">25.0</Value><Value for="TA31">3.0</Value><Value for="TA32">34.0</Value><Value for="TA33">2.0</Value><Value for="TA34">35.0</Value><Value for="TA35">NaN</Value><Value for="TA36">40.0</Value><Value for="TA37">20.0</Value><Value for="TA38">15.0</Value><Value for="TA39">18.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">1.0</Value><Value for="TA42">9.0</Value><Value for="TA43">6.0</Value><Value for="TA44">89.0</Value><Value for="TA45">NaN</Value><Value for="TA46">29.0</Value><Value for="TA47">10.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">13.0</Value><Value for="TA51">1.0</Value><Value for="TA52">18.0</Value><Value for="TA53">23.0</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">11.0</Value><Value for="TA58">14.0</Value><Value for="TA59">5.0</Value><Value for="TA6">NaN</Value><Value for="TA60">26.0</Value><Value for="TA62">6.0</Value><Value for="TA63">39.0</Value><Value for="TA64">43.0</Value><Value for="TA65">113.0</Value><Value for="TA66">52.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">103.0</Value><Value for="TA7">1.0</Value><Value for="TA70">0.0</Value><Value for="TA71">4.0</Value><Value for="TA72">36.0</Value><Value for="TA73">41.0</Value><Value for="TA74">33.0</Value><Value for="TA75">30.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2009" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12585&amp;norefer=true" ias:uid="12585" ias:utime="2009-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">10.0</Value><Value for="TA12">19.0</Value><Value for="TA13">36.0</Value><Value for="TA15">25.0</Value><Value for="TA16">31.0</Value><Value for="TA17">31.0</Value><Value for="TA18">22.0</Value><Value for="TA19">34.0</Value><Value for="TA2">24.0</Value><Value for="TA20">NaN</Value><Value for="TA21">85.0</Value><Value for="TA22">0.0</Value><Value for="TA23">41.0</Value><Value for="TA24">38.0</Value><Value for="TA25">15.0</Value><Value for="TA26">NaN</Value><Value for="TA27">10.0</Value><Value for="TA28">1.0</Value><Value for="TA29">1.0</Value><Value for="TA3">2.0</Value><Value for="TA30">26.0</Value><Value for="TA31">10.0</Value><Value for="TA32">34.0</Value><Value for="TA33">4.0</Value><Value for="TA34">58.0</Value><Value for="TA35">NaN</Value><Value for="TA36">46.0</Value><Value for="TA37">17.0</Value><Value for="TA38">22.0</Value><Value for="TA39">18.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">1.0</Value><Value for="TA42">25.0</Value><Value for="TA43">20.0</Value><Value for="TA44">88.0</Value><Value for="TA45">NaN</Value><Value for="TA46">41.0</Value><Value for="TA47">17.0</Value><Value for="TA48">NaN</Value><Value for="TA49">NaN</Value><Value for="TA5">NaN</Value><Value for="TA50">18.0</Value><Value for="TA51">9.0</Value><Value for="TA52">30.0</Value><Value for="TA53">28.0</Value><Value for="TA54">0.0</Value><Value for="TA55">3.0</Value><Value for="TA56">2.0</Value><Value for="TA57">31.0</Value><Value for="TA58">19.0</Value><Value for="TA59">NaN</Value><Value for="TA6">NaN</Value><Value for="TA60">31.0</Value><Value for="TA62">16.0</Value><Value for="TA63">46.0</Value><Value for="TA64">49.0</Value><Value for="TA65">107.0</Value><Value for="TA66">79.0</Value><Value for="TA67">NaN</Value><Value for="TA68">1.0</Value><Value for="TA69">102.0</Value><Value for="TA7">3.0</Value><Value for="TA70">3.0</Value><Value for="TA71">7.0</Value><Value for="TA72">31.0</Value><Value for="TA73">50.0</Value><Value for="TA74">35.0</Value><Value for="TA75">31.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2010" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12586&amp;norefer=true" ias:uid="12586" ias:utime="2010-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">3.0</Value><Value for="TA12">10.0</Value><Value for="TA13">23.0</Value><Value for="TA15">10.0</Value><Value for="TA16">13.0</Value><Value for="TA17">14.0</Value><Value for="TA18">11.0</Value><Value for="TA19">NaN</Value><Value for="TA2">21.0</Value><Value for="TA20">0.0</Value><Value for="TA21">61.0</Value><Value for="TA22">0.0</Value><Value for="TA23">24.0</Value><Value for="TA24">21.0</Value><Value for="TA25">8.0</Value><Value for="TA26">4.0</Value><Value for="TA27">3.0</Value><Value for="TA28">2.0</Value><Value for="TA29">2.0</Value><Value for="TA3">0.0</Value><Value for="TA30">19.0</Value><Value for="TA31">5.0</Value><Value for="TA32">27.0</Value><Value for="TA33">0.0</Value><Value for="TA34">31.0</Value><Value for="TA35">NaN</Value><Value for="TA36">29.0</Value><Value for="TA37">8.0</Value><Value for="TA38">14.0</Value><Value for="TA39">14.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">0.0</Value><Value for="TA42">13.0</Value><Value for="TA43">11.0</Value><Value for="TA44">82.0</Value><Value for="TA45">36.0</Value><Value for="TA46">24.0</Value><Value for="TA47">1.0</Value><Value for="TA48">29.0</Value><Value for="TA49">29.0</Value><Value for="TA5">NaN</Value><Value for="TA50">13.0</Value><Value for="TA51">NaN</Value><Value for="TA52">7.0</Value><Value for="TA53">11.0</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">14.0</Value><Value for="TA58">9.0</Value><Value for="TA59">3.0</Value><Value for="TA6">NaN</Value><Value for="TA60">18.0</Value><Value for="TA62">7.0</Value><Value for="TA63">31.0</Value><Value for="TA64">39.0</Value><Value for="TA65">99.0</Value><Value for="TA66">89.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">95.0</Value><Value for="TA7">0.0</Value><Value for="TA70">2.0</Value><Value for="TA71">2.0</Value><Value for="TA72">39.0</Value><Value for="TA73">41.0</Value><Value for="TA74">41.0</Value><Value for="TA75">34.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2011" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12587&amp;norefer=true" ias:uid="12587" ias:utime="2011-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">4.0</Value><Value for="TA12">11.0</Value><Value for="TA13">20.0</Value><Value for="TA15">11.0</Value><Value for="TA16">17.0</Value><Value for="TA17">19.0</Value><Value for="TA18">13.0</Value><Value for="TA19">21.0</Value><Value for="TA2">29.0</Value><Value for="TA20">5.0</Value><Value for="TA21">82.0</Value><Value for="TA22">0.0</Value><Value for="TA23">35.0</Value><Value for="TA24">23.0</Value><Value for="TA25">6.0</Value><Value for="TA26">10.0</Value><Value for="TA27">11.0</Value><Value for="TA28">3.0</Value><Value for="TA29">0.0</Value><Value for="TA3">0.0</Value><Value for="TA30">27.0</Value><Value for="TA31">10.0</Value><Value for="TA32">22.0</Value><Value for="TA33">4.0</Value><Value for="TA34">39.0</Value><Value for="TA35">4.0</Value><Value for="TA36">41.0</Value><Value for="TA37">8.0</Value><Value for="TA38">16.0</Value><Value for="TA39">11.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">1.0</Value><Value for="TA42">7.0</Value><Value for="TA43">10.0</Value><Value for="TA44">82.0</Value><Value for="TA45">37.0</Value><Value for="TA46">35.0</Value><Value for="TA47">9.0</Value><Value for="TA48">40.0</Value><Value for="TA49">40.0</Value><Value for="TA5">NaN</Value><Value for="TA50">11.0</Value><Value for="TA51">NaN</Value><Value for="TA52">14.0</Value><Value for="TA53">15.0</Value><Value for="TA54">2.0</Value><Value for="TA55">4.0</Value><Value for="TA56">5.0</Value><Value for="TA57">19.0</Value><Value for="TA58">13.0</Value><Value for="TA59">5.0</Value><Value for="TA6">NaN</Value><Value for="TA60">23.0</Value><Value for="TA62">6.0</Value><Value for="TA63">36.0</Value><Value for="TA64">34.0</Value><Value for="TA65">91.0</Value><Value for="TA66">60.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">84.0</Value><Value for="TA7">0.0</Value><Value for="TA70">1.0</Value><Value for="TA71">7.0</Value><Value for="TA72">NaN</Value><Value for="TA73">35.0</Value><Value for="TA74">32.0</Value><Value for="TA75">26.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12588&amp;norefer=true" ias:uid="12588" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">5.0</Value><Value for="TA12">17.0</Value><Value for="TA13">28.0</Value><Value for="TA15">17.0</Value><Value for="TA16">24.0</Value><Value for="TA17">27.0</Value><Value for="TA18">20.0</Value><Value for="TA19">23.0</Value><Value for="TA2">28.0</Value><Value for="TA20">2.0</Value><Value for="TA21">72.0</Value><Value for="TA22">0.0</Value><Value for="TA23">45.0</Value><Value for="TA24">NaN</Value><Value for="TA25">7.0</Value><Value for="TA26">7.0</Value><Value for="TA27">6.0</Value><Value for="TA28">0.0</Value><Value for="TA29">3.0</Value><Value for="TA3">0.0</Value><Value for="TA30">31.0</Value><Value for="TA31">6.0</Value><Value for="TA32">28.0</Value><Value for="TA33">2.0</Value><Value for="TA34">44.0</Value><Value for="TA35">1.0</Value><Value for="TA36">37.0</Value><Value for="TA37">10.0</Value><Value for="TA38">25.0</Value><Value for="TA39">19.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">0.0</Value><Value for="TA42">19.0</Value><Value for="TA43">21.0</Value><Value for="TA44">78.0</Value><Value for="TA45">NaN</Value><Value for="TA46">45.0</Value><Value for="TA47">12.0</Value><Value for="TA48">40.0</Value><Value for="TA49">40.0</Value><Value for="TA5">NaN</Value><Value for="TA50">18.0</Value><Value for="TA51">7.0</Value><Value for="TA52">13.0</Value><Value for="TA53">16.0</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">1.0</Value><Value for="TA57">27.0</Value><Value for="TA58">14.0</Value><Value for="TA59">0.0</Value><Value for="TA6">NaN</Value><Value for="TA60">18.0</Value><Value for="TA62">9.0</Value><Value for="TA63">31.0</Value><Value for="TA64">39.0</Value><Value for="TA65">100.0</Value><Value for="TA66">55.0</Value><Value for="TA67">NaN</Value><Value for="TA68">1.0</Value><Value for="TA69">97.0</Value><Value for="TA7">0.0</Value><Value for="TA70">5.0</Value><Value for="TA71">7.0</Value><Value for="TA72">26.0</Value><Value for="TA73">39.0</Value><Value for="TA74">26.0</Value><Value for="TA75">28.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2311" name="Number of Days under 0 degrees celcius" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2311&amp;id=12589&amp;norefer=true" ias:uid="12589" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Number of Days under 0 degrees celcius" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">NaN</Value><Value for="TA12">8.0</Value><Value for="TA13">NaN</Value><Value for="TA15">6.0</Value><Value for="TA16">11.0</Value><Value for="TA17">9.0</Value><Value for="TA18">5.0</Value><Value for="TA19">3.0</Value><Value for="TA2">14.0</Value><Value for="TA20">0.0</Value><Value for="TA21">55.0</Value><Value for="TA22">0.0</Value><Value for="TA23">22.0</Value><Value for="TA24">NaN</Value><Value for="TA25">1.0</Value><Value for="TA26">7.0</Value><Value for="TA27">2.0</Value><Value for="TA28">1.0</Value><Value for="TA29">0.0</Value><Value for="TA3">0.0</Value><Value for="TA30">21.0</Value><Value for="TA31">4.0</Value><Value for="TA32">23.0</Value><Value for="TA33">0.0</Value><Value for="TA34">26.0</Value><Value for="TA35">2.0</Value><Value for="TA36">23.0</Value><Value for="TA37">8.0</Value><Value for="TA38">10.0</Value><Value for="TA39">7.0</Value><Value for="TA4">NaN</Value><Value for="TA40">0.0</Value><Value for="TA41">0.0</Value><Value for="TA42">7.0</Value><Value for="TA43">8.0</Value><Value for="TA44">60.0</Value><Value for="TA45">28.0</Value><Value for="TA46">22.0</Value><Value for="TA47">7.0</Value><Value for="TA48">26.0</Value><Value for="TA49">26.0</Value><Value for="TA5">NaN</Value><Value for="TA50">8.0</Value><Value for="TA51">NaN</Value><Value for="TA52">6.0</Value><Value for="TA53">10.0</Value><Value for="TA54">0.0</Value><Value for="TA55">1.0</Value><Value for="TA56">2.0</Value><Value for="TA57">9.0</Value><Value for="TA58">9.0</Value><Value for="TA59">0.0</Value><Value for="TA6">NaN</Value><Value for="TA60">11.0</Value><Value for="TA62">0.0</Value><Value for="TA63">31.0</Value><Value for="TA64">48.0</Value><Value for="TA65">92.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">76.0</Value><Value for="TA7">0.0</Value><Value for="TA70">0.0</Value><Value for="TA71">6.0</Value><Value for="TA72">37.0</Value><Value for="TA73">NaN</Value><Value for="TA74">17.0</Value><Value for="TA75">18.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Days with a minimum air temperature &lt;0°C" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2000" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12590&amp;norefer=true" ias:uid="12590" ias:utime="2000-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">16.0</Value><Value for="TA10">NaN</Value><Value for="TA11">91.0</Value><Value for="TA12">73.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">62.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">60.0</Value><Value for="TA2">67.0</Value><Value for="TA20">NaN</Value><Value for="TA21">94.0</Value><Value for="TA22">NaN</Value><Value for="TA23">90.0</Value><Value for="TA24">73.0</Value><Value for="TA25">154.0</Value><Value for="TA26">51.0</Value><Value for="TA27">15.0</Value><Value for="TA28">72.0</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">121.0</Value><Value for="TA31">108.0</Value><Value for="TA32">NaN</Value><Value for="TA33">74.0</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">22.0</Value><Value for="TA37">95.0</Value><Value for="TA38">83.0</Value><Value for="TA39">90.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">51.0</Value><Value for="TA42">46.0</Value><Value for="TA43">100.0</Value><Value for="TA44">NaN</Value><Value for="TA45">69.0</Value><Value for="TA46">69.0</Value><Value for="TA47">73.0</Value><Value for="TA48">NaN</Value><Value for="TA49">71.0</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">80.0</Value><Value for="TA53">128.0</Value><Value for="TA54">113.0</Value><Value for="TA55">2.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">99.0</Value><Value for="TA6">NaN</Value><Value for="TA60">92.0</Value><Value for="TA62">79.0</Value><Value for="TA63">51.0</Value><Value for="TA64">62.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">NaN</Value><Value for="TA7">87.5</Value><Value for="TA70">79.0</Value><Value for="TA71">37.0</Value><Value for="TA72">52.0</Value><Value for="TA73">15.0</Value><Value for="TA74">22.0</Value><Value for="TA75">32.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2001" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12591&amp;norefer=true" ias:uid="12591" ias:utime="2001-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">7.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">37.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">0.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">18.0</Value><Value for="TA2">8.0</Value><Value for="TA20">NaN</Value><Value for="TA21">53.0</Value><Value for="TA22">31.0</Value><Value for="TA23">31.0</Value><Value for="TA24">26.0</Value><Value for="TA25">62.0</Value><Value for="TA26">30.0</Value><Value for="TA27">21.0</Value><Value for="TA28">29.0</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">67.0</Value><Value for="TA31">61.0</Value><Value for="TA32">NaN</Value><Value for="TA33">55.0</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">9.0</Value><Value for="TA37">64.0</Value><Value for="TA38">52.0</Value><Value for="TA39">52.0</Value><Value for="TA4">NaN</Value><Value for="TA40">NaN</Value><Value for="TA41">54.0</Value><Value for="TA42">67.0</Value><Value for="TA43">64.0</Value><Value for="TA44">107.0</Value><Value for="TA45">88.0</Value><Value for="TA46">88.0</Value><Value for="TA47">103.0</Value><Value for="TA48">NaN</Value><Value for="TA49">92.0</Value><Value for="TA5">NaN</Value><Value for="TA50">NaN</Value><Value for="TA51">NaN</Value><Value for="TA52">92.0</Value><Value for="TA53">152.0</Value><Value for="TA54">144.0</Value><Value for="TA55">3.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">134.0</Value><Value for="TA6">NaN</Value><Value for="TA60">160.0</Value><Value for="TA62">152.0</Value><Value for="TA63">0.0</Value><Value for="TA64">136.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">NaN</Value><Value for="TA69">172.0</Value><Value for="TA7">46.0</Value><Value for="TA70">115.0</Value><Value for="TA71">113.0</Value><Value for="TA72">0.0</Value><Value for="TA73">31.0</Value><Value for="TA74">27.0</Value><Value for="TA75">31.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2002" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12592&amp;norefer=true" ias:uid="12592" ias:utime="2002-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">34.0</Value><Value for="TA10">NaN</Value><Value for="TA11">68.0</Value><Value for="TA12">42.0</Value><Value for="TA13">NaN</Value><Value for="TA15">NaN</Value><Value for="TA16">31.0</Value><Value for="TA17">NaN</Value><Value for="TA18">NaN</Value><Value for="TA19">0.0</Value><Value for="TA2">0.0</Value><Value for="TA20">0.0</Value><Value for="TA21">79.0</Value><Value for="TA22">66.0</Value><Value for="TA23">116.0</Value><Value for="TA24">47.0</Value><Value for="TA25">212.0</Value><Value for="TA26">14.0</Value><Value for="TA27">74.0</Value><Value for="TA28">130.0</Value><Value for="TA29">NaN</Value><Value for="TA3">NaN</Value><Value for="TA30">114.0</Value><Value for="TA31">121.0</Value><Value for="TA32">NaN</Value><Value for="TA33">17.0</Value><Value for="TA34">NaN</Value><Value for="TA35">NaN</Value><Value for="TA36">6.0</Value><Value for="TA37">61.0</Value><Value for="TA38">39.0</Value><Value for="TA39">58.0</Value><Value for="TA4">NaN</Value><Value for="TA40">41.0</Value><Value for="TA41">9.0</Value><Value for="TA42">48.0</Value><Value for="TA43">59.0</Value><Value for="TA44">0.0</Value><Value for="TA45">12.0</Value><Value for="TA46">12.0</Value><Value for="TA47">37.0</Value><Value for="TA48">NaN</Value><Value for="TA49">80.0</Value><Value for="TA5">NaN</Value><Value for="TA50">104.0</Value><Value for="TA51">80.0</Value><Value for="TA52">79.0</Value><Value for="TA53">162.0</Value><Value for="TA54">137.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">99.0</Value><Value for="TA6">NaN</Value><Value for="TA60">75.0</Value><Value for="TA62">110.0</Value><Value for="TA63">69.0</Value><Value for="TA64">114.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">115.0</Value><Value for="TA69">166.0</Value><Value for="TA7">43.0</Value><Value for="TA70">79.0</Value><Value for="TA71">90.0</Value><Value for="TA72">26.0</Value><Value for="TA73">27.0</Value><Value for="TA74">10.0</Value><Value for="TA75">21.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2003" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12593&amp;norefer=true" ias:uid="12593" ias:utime="2003-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">52.0</Value><Value for="TA10">NaN</Value><Value for="TA11">42.0</Value><Value for="TA12">0.0</Value><Value for="TA13">NaN</Value><Value for="TA15">34.0</Value><Value for="TA16">0.0</Value><Value for="TA17">69.0</Value><Value for="TA18">38.0</Value><Value for="TA19">39.0</Value><Value for="TA2">59.0</Value><Value for="TA20">38.0</Value><Value for="TA21">60.0</Value><Value for="TA22">41.0</Value><Value for="TA23">0.0</Value><Value for="TA24">37.0</Value><Value for="TA25">136.0</Value><Value for="TA26">26.0</Value><Value for="TA27">52.0</Value><Value for="TA28">0.0</Value><Value for="TA29">68.0</Value><Value for="TA3">NaN</Value><Value for="TA30">123.0</Value><Value for="TA31">107.0</Value><Value for="TA32">NaN</Value><Value for="TA33">72.0</Value><Value for="TA34">46.0</Value><Value for="TA35">NaN</Value><Value for="TA36">46.0</Value><Value for="TA37">102.0</Value><Value for="TA38">79.0</Value><Value for="TA39">97.0</Value><Value for="TA4">NaN</Value><Value for="TA40">107.0</Value><Value for="TA41">53.0</Value><Value for="TA42">93.0</Value><Value for="TA43">115.0</Value><Value for="TA44">98.0</Value><Value for="TA45">71.0</Value><Value for="TA46">71.0</Value><Value for="TA47">84.0</Value><Value for="TA48">NaN</Value><Value for="TA49">129.0</Value><Value for="TA5">NaN</Value><Value for="TA50">124.0</Value><Value for="TA51">104.0</Value><Value for="TA52">111.0</Value><Value for="TA53">177.0</Value><Value for="TA54">139.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">114.0</Value><Value for="TA6">NaN</Value><Value for="TA60">124.0</Value><Value for="TA62">141.0</Value><Value for="TA63">94.0</Value><Value for="TA64">130.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">158.0</Value><Value for="TA69">176.0</Value><Value for="TA7">38.5</Value><Value for="TA70">121.0</Value><Value for="TA71">140.0</Value><Value for="TA72">0.0</Value><Value for="TA73">0.0</Value><Value for="TA74">66.0</Value><Value for="TA75">33.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2004" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12594&amp;norefer=true" ias:uid="12594" ias:utime="2004-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">49.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">0.0</Value><Value for="TA13">NaN</Value><Value for="TA15">26.0</Value><Value for="TA16">4.0</Value><Value for="TA17">0.0</Value><Value for="TA18">16.0</Value><Value for="TA19">25.0</Value><Value for="TA2">0.0</Value><Value for="TA20">16.0</Value><Value for="TA21">33.0</Value><Value for="TA22">56.0</Value><Value for="TA23">73.0</Value><Value for="TA24">29.0</Value><Value for="TA25">130.0</Value><Value for="TA26">20.0</Value><Value for="TA27">38.0</Value><Value for="TA28">87.0</Value><Value for="TA29">48.0</Value><Value for="TA3">0.0</Value><Value for="TA30">100.0</Value><Value for="TA31">100.0</Value><Value for="TA32">NaN</Value><Value for="TA33">12.0</Value><Value for="TA34">0.0</Value><Value for="TA35">NaN</Value><Value for="TA36">2.0</Value><Value for="TA37">37.0</Value><Value for="TA38">13.0</Value><Value for="TA39">28.0</Value><Value for="TA4">NaN</Value><Value for="TA40">18.0</Value><Value for="TA41">18.0</Value><Value for="TA42">19.0</Value><Value for="TA43">19.0</Value><Value for="TA44">27.0</Value><Value for="TA45">6.0</Value><Value for="TA46">6.0</Value><Value for="TA47">25.0</Value><Value for="TA48">NaN</Value><Value for="TA49">29.0</Value><Value for="TA5">NaN</Value><Value for="TA50">31.0</Value><Value for="TA51">54.0</Value><Value for="TA52">41.0</Value><Value for="TA53">106.0</Value><Value for="TA54">155.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">73.0</Value><Value for="TA6">NaN</Value><Value for="TA60">81.0</Value><Value for="TA62">108.0</Value><Value for="TA63">49.0</Value><Value for="TA64">76.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">105.0</Value><Value for="TA69">123.0</Value><Value for="TA7">47.5</Value><Value for="TA70">90.0</Value><Value for="TA71">60.0</Value><Value for="TA72">29.0</Value><Value for="TA73">0.0</Value><Value for="TA74">25.0</Value><Value for="TA75">22.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2005" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12595&amp;norefer=true" ias:uid="12595" ias:utime="2005-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">74.0</Value><Value for="TA12">0.0</Value><Value for="TA13">42.0</Value><Value for="TA15">43.0</Value><Value for="TA16">44.0</Value><Value for="TA17">70.0</Value><Value for="TA18">24.0</Value><Value for="TA19">40.0</Value><Value for="TA2">107.0</Value><Value for="TA20">24.0</Value><Value for="TA21">92.0</Value><Value for="TA22">50.0</Value><Value for="TA23">90.0</Value><Value for="TA24">56.0</Value><Value for="TA25">206.0</Value><Value for="TA26">46.0</Value><Value for="TA27">77.0</Value><Value for="TA28">71.0</Value><Value for="TA29">72.0</Value><Value for="TA3">96.0</Value><Value for="TA30">93.0</Value><Value for="TA31">0.0</Value><Value for="TA32">NaN</Value><Value for="TA33">53.0</Value><Value for="TA34">14.0</Value><Value for="TA35">34.0</Value><Value for="TA36">18.0</Value><Value for="TA37">72.0</Value><Value for="TA38">49.0</Value><Value for="TA39">0.0</Value><Value for="TA4">NaN</Value><Value for="TA40">59.0</Value><Value for="TA41">63.0</Value><Value for="TA42">68.0</Value><Value for="TA43">83.0</Value><Value for="TA44">0.0</Value><Value for="TA45">59.0</Value><Value for="TA46">59.0</Value><Value for="TA47">84.0</Value><Value for="TA48">NaN</Value><Value for="TA49">80.0</Value><Value for="TA5">NaN</Value><Value for="TA50">95.0</Value><Value for="TA51">138.0</Value><Value for="TA52">129.0</Value><Value for="TA53">136.0</Value><Value for="TA54">102.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">102.0</Value><Value for="TA6">NaN</Value><Value for="TA60">109.0</Value><Value for="TA62">161.0</Value><Value for="TA63">74.0</Value><Value for="TA64">57.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">148.0</Value><Value for="TA69">166.0</Value><Value for="TA7">85.0</Value><Value for="TA70">92.0</Value><Value for="TA71">89.0</Value><Value for="TA72">0.0</Value><Value for="TA73">7.0</Value><Value for="TA74">26.0</Value><Value for="TA75">16.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2006" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12596&amp;norefer=true" ias:uid="12596" ias:utime="2006-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">37.0</Value><Value for="TA10">NaN</Value><Value for="TA11">66.0</Value><Value for="TA12">0.0</Value><Value for="TA13">18.0</Value><Value for="TA15">0.0</Value><Value for="TA16">6.0</Value><Value for="TA17">0.0</Value><Value for="TA18">21.0</Value><Value for="TA19">12.0</Value><Value for="TA2">75.0</Value><Value for="TA20">21.0</Value><Value for="TA21">26.0</Value><Value for="TA22">63.0</Value><Value for="TA23">83.0</Value><Value for="TA24">40.0</Value><Value for="TA25">0.0</Value><Value for="TA26">25.0</Value><Value for="TA27">49.0</Value><Value for="TA28">97.0</Value><Value for="TA29">0.0</Value><Value for="TA3">75.0</Value><Value for="TA30">116.0</Value><Value for="TA31">117.0</Value><Value for="TA32">NaN</Value><Value for="TA33">53.0</Value><Value for="TA34">0.0</Value><Value for="TA35">32.0</Value><Value for="TA36">15.0</Value><Value for="TA37">54.0</Value><Value for="TA38">53.0</Value><Value for="TA39">0.0</Value><Value for="TA4">NaN</Value><Value for="TA40">58.0</Value><Value for="TA41">57.0</Value><Value for="TA42">49.0</Value><Value for="TA43">44.0</Value><Value for="TA44">54.0</Value><Value for="TA45">27.0</Value><Value for="TA46">27.0</Value><Value for="TA47">55.0</Value><Value for="TA48">NaN</Value><Value for="TA49">61.0</Value><Value for="TA5">NaN</Value><Value for="TA50">85.0</Value><Value for="TA51">103.0</Value><Value for="TA52">102.0</Value><Value for="TA53">139.0</Value><Value for="TA54">125.0</Value><Value for="TA55">0.0</Value><Value for="TA56">NaN</Value><Value for="TA57">NaN</Value><Value for="TA58">NaN</Value><Value for="TA59">80.0</Value><Value for="TA6">NaN</Value><Value for="TA60">95.0</Value><Value for="TA62">103.0</Value><Value for="TA63">95.0</Value><Value for="TA64">111.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">117.0</Value><Value for="TA69">199.0</Value><Value for="TA7">71.5</Value><Value for="TA70">73.0</Value><Value for="TA71">93.0</Value><Value for="TA72">0.0</Value><Value for="TA73">0.0</Value><Value for="TA74">0.0</Value><Value for="TA75">4.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2007" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12597&amp;norefer=true" ias:uid="12597" ias:utime="2007-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">16.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">68.0</Value><Value for="TA13">15.0</Value><Value for="TA15">68.0</Value><Value for="TA16">75.0</Value><Value for="TA17">98.0</Value><Value for="TA18">50.0</Value><Value for="TA19">65.0</Value><Value for="TA2">47.0</Value><Value for="TA20">50.0</Value><Value for="TA21">70.0</Value><Value for="TA22">57.0</Value><Value for="TA23">62.0</Value><Value for="TA24">67.0</Value><Value for="TA25">0.0</Value><Value for="TA26">45.0</Value><Value for="TA27">80.0</Value><Value for="TA28">132.0</Value><Value for="TA29">0.0</Value><Value for="TA3">29.0</Value><Value for="TA30">167.0</Value><Value for="TA31">153.0</Value><Value for="TA32">NaN</Value><Value for="TA33">70.0</Value><Value for="TA34">48.0</Value><Value for="TA35">65.0</Value><Value for="TA36">54.0</Value><Value for="TA37">81.0</Value><Value for="TA38">67.0</Value><Value for="TA39">107.0</Value><Value for="TA4">NaN</Value><Value for="TA40">96.0</Value><Value for="TA41">106.0</Value><Value for="TA42">41.0</Value><Value for="TA43">106.0</Value><Value for="TA44">114.0</Value><Value for="TA45">66.0</Value><Value for="TA46">66.0</Value><Value for="TA47">103.0</Value><Value for="TA48">NaN</Value><Value for="TA49">125.0</Value><Value for="TA5">NaN</Value><Value for="TA50">132.0</Value><Value for="TA51">120.0</Value><Value for="TA52">113.0</Value><Value for="TA53">144.0</Value><Value for="TA54">165.0</Value><Value for="TA55">3.0</Value><Value for="TA56">5.0</Value><Value for="TA57">4.0</Value><Value for="TA58">NaN</Value><Value for="TA59">105.0</Value><Value for="TA6">NaN</Value><Value for="TA60">124.0</Value><Value for="TA62">131.0</Value><Value for="TA63">65.0</Value><Value for="TA64">108.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">149.0</Value><Value for="TA69">201.0</Value><Value for="TA7">77.5</Value><Value for="TA70">111.0</Value><Value for="TA71">110.0</Value><Value for="TA72">0.0</Value><Value for="TA73">31.0</Value><Value for="TA74">0.0</Value><Value for="TA75">34.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2008" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12598&amp;norefer=true" ias:uid="12598" ias:utime="2008-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">107.0</Value><Value for="TA12">90.0</Value><Value for="TA13">73.0</Value><Value for="TA15">98.0</Value><Value for="TA16">88.0</Value><Value for="TA17">0.0</Value><Value for="TA18">73.0</Value><Value for="TA19">85.0</Value><Value for="TA2">52.0</Value><Value for="TA20">73.0</Value><Value for="TA21">91.0</Value><Value for="TA22">58.0</Value><Value for="TA23">85.0</Value><Value for="TA24">78.0</Value><Value for="TA25">200.0</Value><Value for="TA26">26.0</Value><Value for="TA27">74.0</Value><Value for="TA28">120.0</Value><Value for="TA29">0.0</Value><Value for="TA3">56.0</Value><Value for="TA30">144.0</Value><Value for="TA31">118.0</Value><Value for="TA32">133.0</Value><Value for="TA33">66.0</Value><Value for="TA34">47.0</Value><Value for="TA35">86.0</Value><Value for="TA36">69.0</Value><Value for="TA37">92.0</Value><Value for="TA38">90.0</Value><Value for="TA39">90.0</Value><Value for="TA4">NaN</Value><Value for="TA40">85.0</Value><Value for="TA41">85.0</Value><Value for="TA42">50.0</Value><Value for="TA43">64.0</Value><Value for="TA44">0.0</Value><Value for="TA45">69.0</Value><Value for="TA46">69.0</Value><Value for="TA47">88.0</Value><Value for="TA48">NaN</Value><Value for="TA49">100.0</Value><Value for="TA5">NaN</Value><Value for="TA50">123.0</Value><Value for="TA51">82.0</Value><Value for="TA52">59.0</Value><Value for="TA53">108.0</Value><Value for="TA54">129.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">134.0</Value><Value for="TA59">112.0</Value><Value for="TA6">NaN</Value><Value for="TA60">126.0</Value><Value for="TA62">119.0</Value><Value for="TA63">101.0</Value><Value for="TA64">144.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">126.0</Value><Value for="TA69">174.0</Value><Value for="TA7">96.5</Value><Value for="TA70">105.0</Value><Value for="TA71">88.0</Value><Value for="TA72">0.0</Value><Value for="TA73">45.0</Value><Value for="TA74">47.0</Value><Value for="TA75">39.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2009" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12599&amp;norefer=true" ias:uid="12599" ias:utime="2009-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">73.0</Value><Value for="TA10">NaN</Value><Value for="TA11">88.0</Value><Value for="TA12">0.0</Value><Value for="TA13">0.0</Value><Value for="TA15">0.0</Value><Value for="TA16">64.0</Value><Value for="TA17">0.0</Value><Value for="TA18">53.0</Value><Value for="TA19">54.0</Value><Value for="TA2">86.0</Value><Value for="TA20">53.0</Value><Value for="TA21">113.0</Value><Value for="TA22">0.0</Value><Value for="TA23">79.0</Value><Value for="TA24">84.0</Value><Value for="TA25">136.0</Value><Value for="TA26">67.0</Value><Value for="TA27">74.0</Value><Value for="TA28">93.0</Value><Value for="TA29">0.0</Value><Value for="TA3">108.0</Value><Value for="TA30">115.0</Value><Value for="TA31">106.0</Value><Value for="TA32">90.0</Value><Value for="TA33">54.0</Value><Value for="TA34">8.0</Value><Value for="TA35">48.0</Value><Value for="TA36">5.0</Value><Value for="TA37">71.0</Value><Value for="TA38">51.0</Value><Value for="TA39">72.0</Value><Value for="TA4">NaN</Value><Value for="TA40">44.0</Value><Value for="TA41">46.0</Value><Value for="TA42">38.0</Value><Value for="TA43">67.0</Value><Value for="TA44">0.0</Value><Value for="TA45">38.0</Value><Value for="TA46">38.0</Value><Value for="TA47">91.0</Value><Value for="TA48">NaN</Value><Value for="TA49">66.0</Value><Value for="TA5">NaN</Value><Value for="TA50">89.0</Value><Value for="TA51">120.0</Value><Value for="TA52">106.0</Value><Value for="TA53">131.0</Value><Value for="TA54">144.0</Value><Value for="TA55">10.0</Value><Value for="TA56">9.0</Value><Value for="TA57">0.0</Value><Value for="TA58">127.0</Value><Value for="TA59">102.0</Value><Value for="TA6">NaN</Value><Value for="TA60">98.0</Value><Value for="TA62">115.0</Value><Value for="TA63">0.0</Value><Value for="TA64">70.0</Value><Value for="TA65">NaN</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">111.0</Value><Value for="TA69">198.0</Value><Value for="TA7">74.5</Value><Value for="TA70">120.0</Value><Value for="TA71">71.0</Value><Value for="TA72">59.0</Value><Value for="TA73">28.0</Value><Value for="TA74">44.0</Value><Value for="TA75">0.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2010" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12600&amp;norefer=true" ias:uid="12600" ias:utime="2010-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">0.0</Value><Value for="TA13">69.0</Value><Value for="TA15">118.0</Value><Value for="TA16">89.0</Value><Value for="TA17">92.0</Value><Value for="TA18">0.0</Value><Value for="TA19">95.0</Value><Value for="TA2">129.0</Value><Value for="TA20">0.0</Value><Value for="TA21">109.0</Value><Value for="TA22">0.0</Value><Value for="TA23">116.0</Value><Value for="TA24">76.0</Value><Value for="TA25">162.0</Value><Value for="TA26">61.0</Value><Value for="TA27">73.0</Value><Value for="TA28">81.0</Value><Value for="TA29">85.0</Value><Value for="TA3">120.0</Value><Value for="TA30">103.0</Value><Value for="TA31">101.0</Value><Value for="TA32">97.0</Value><Value for="TA33">81.0</Value><Value for="TA34">61.0</Value><Value for="TA35">92.0</Value><Value for="TA36">16.0</Value><Value for="TA37">119.0</Value><Value for="TA38">110.0</Value><Value for="TA39">98.0</Value><Value for="TA4">NaN</Value><Value for="TA40">103.0</Value><Value for="TA41">90.0</Value><Value for="TA42">63.0</Value><Value for="TA43">101.0</Value><Value for="TA44">0.0</Value><Value for="TA45">98.0</Value><Value for="TA46">98.0</Value><Value for="TA47">112.0</Value><Value for="TA48">85.0</Value><Value for="TA49">102.0</Value><Value for="TA5">NaN</Value><Value for="TA50">138.0</Value><Value for="TA51">119.0</Value><Value for="TA52">118.0</Value><Value for="TA53">146.0</Value><Value for="TA54">157.0</Value><Value for="TA55">36.0</Value><Value for="TA56">16.0</Value><Value for="TA57">4.0</Value><Value for="TA58">175.0</Value><Value for="TA59">155.0</Value><Value for="TA6">NaN</Value><Value for="TA60">152.0</Value><Value for="TA62">153.0</Value><Value for="TA63">141.0</Value><Value for="TA64">137.0</Value><Value for="TA65">118.0</Value><Value for="TA66">NaN</Value><Value for="TA67">NaN</Value><Value for="TA68">151.0</Value><Value for="TA69">193.0</Value><Value for="TA7">117.5</Value><Value for="TA70">113.0</Value><Value for="TA71">113.0</Value><Value for="TA72">0.0</Value><Value for="TA73">0.0</Value><Value for="TA74">43.0</Value><Value for="TA75">25.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2011" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12601&amp;norefer=true" ias:uid="12601" ias:utime="2011-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">38.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">52.0</Value><Value for="TA13">8.0</Value><Value for="TA15">0.0</Value><Value for="TA16">35.0</Value><Value for="TA17">43.0</Value><Value for="TA18">0.0</Value><Value for="TA19">37.0</Value><Value for="TA2">65.0</Value><Value for="TA20">0.0</Value><Value for="TA21">50.0</Value><Value for="TA22">34.0</Value><Value for="TA23">61.0</Value><Value for="TA24">34.0</Value><Value for="TA25">104.0</Value><Value for="TA26">13.0</Value><Value for="TA27">49.0</Value><Value for="TA28">95.0</Value><Value for="TA29">55.0</Value><Value for="TA3">47.0</Value><Value for="TA30">101.0</Value><Value for="TA31">90.0</Value><Value for="TA32">61.0</Value><Value for="TA33">25.0</Value><Value for="TA34">9.0</Value><Value for="TA35">0.0</Value><Value for="TA36">0.0</Value><Value for="TA37">51.0</Value><Value for="TA38">45.0</Value><Value for="TA39">51.0</Value><Value for="TA4">NaN</Value><Value for="TA40">40.0</Value><Value for="TA41">0.0</Value><Value for="TA42">33.0</Value><Value for="TA43">54.0</Value><Value for="TA44">0.0</Value><Value for="TA45">42.0</Value><Value for="TA46">42.0</Value><Value for="TA47">65.0</Value><Value for="TA48">63.0</Value><Value for="TA49">68.0</Value><Value for="TA5">NaN</Value><Value for="TA50">69.0</Value><Value for="TA51">73.0</Value><Value for="TA52">60.0</Value><Value for="TA53">109.0</Value><Value for="TA54">145.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">0.0</Value><Value for="TA58">125.0</Value><Value for="TA59">112.0</Value><Value for="TA6">NaN</Value><Value for="TA60">67.0</Value><Value for="TA62">83.0</Value><Value for="TA63">53.0</Value><Value for="TA64">35.0</Value><Value for="TA65">69.0</Value><Value for="TA66">77.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">186.0</Value><Value for="TA7">38.5</Value><Value for="TA70">97.0</Value><Value for="TA71">89.0</Value><Value for="TA72">0.0</Value><Value for="TA73">37.0</Value><Value for="TA74">28.0</Value><Value for="TA75">25.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2012" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12602&amp;norefer=true" ias:uid="12602" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">0.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">31.0</Value><Value for="TA13">0.0</Value><Value for="TA15">0.0</Value><Value for="TA16">31.0</Value><Value for="TA17">69.0</Value><Value for="TA18">30.0</Value><Value for="TA19">31.0</Value><Value for="TA2">0.0</Value><Value for="TA20">30.0</Value><Value for="TA21">57.0</Value><Value for="TA22">47.0</Value><Value for="TA23">71.0</Value><Value for="TA24">0.0</Value><Value for="TA25">126.0</Value><Value for="TA26">36.0</Value><Value for="TA27">44.0</Value><Value for="TA28">79.0</Value><Value for="TA29">60.0</Value><Value for="TA3">64.0</Value><Value for="TA30">115.0</Value><Value for="TA31">93.0</Value><Value for="TA32">94.0</Value><Value for="TA33">11.0</Value><Value for="TA34">5.0</Value><Value for="TA35">44.0</Value><Value for="TA36">0.0</Value><Value for="TA37">94.0</Value><Value for="TA38">74.0</Value><Value for="TA39">82.0</Value><Value for="TA4">NaN</Value><Value for="TA40">89.0</Value><Value for="TA41">48.0</Value><Value for="TA42">54.0</Value><Value for="TA43">61.0</Value><Value for="TA44">102.0</Value><Value for="TA45">33.0</Value><Value for="TA46">33.0</Value><Value for="TA47">86.0</Value><Value for="TA48">65.0</Value><Value for="TA49">69.0</Value><Value for="TA5">NaN</Value><Value for="TA50">84.0</Value><Value for="TA51">104.0</Value><Value for="TA52">98.0</Value><Value for="TA53">137.0</Value><Value for="TA54">0.0</Value><Value for="TA55">0.0</Value><Value for="TA56">0.0</Value><Value for="TA57">3.0</Value><Value for="TA58">108.0</Value><Value for="TA59">121.0</Value><Value for="TA6">NaN</Value><Value for="TA60">95.0</Value><Value for="TA62">126.0</Value><Value for="TA63">0.0</Value><Value for="TA64">91.0</Value><Value for="TA65">88.0</Value><Value for="TA66">0.0</Value><Value for="TA67">NaN</Value><Value for="TA68">136.0</Value><Value for="TA69">165.0</Value><Value for="TA7">43.5</Value><Value for="TA70">88.0</Value><Value for="TA71">69.0</Value><Value for="TA72">0.0</Value><Value for="TA73">18.0</Value><Value for="TA74">30.0</Value><Value for="TA75">20.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator><Indicator id="i2312" name="Soil moisture deficit" type="numeric" date="2013" href="/metadata/view/indicatorinstance?pid=2312&amp;id=12603&amp;norefer=true" ias:uid="12603" ias:utime="2013-01-01 00:00:00+13:00" ias:full-name="Soil moisture deficit" precision="1"><Value for="TA1">75.0</Value><Value for="TA10">NaN</Value><Value for="TA11">0.0</Value><Value for="TA12">101.0</Value><Value for="TA13">0.0</Value><Value for="TA15">130.0</Value><Value for="TA16">94.0</Value><Value for="TA17">0.0</Value><Value for="TA18">66.0</Value><Value for="TA19">70.0</Value><Value for="TA2">103.0</Value><Value for="TA20">66.0</Value><Value for="TA21">114.0</Value><Value for="TA22">0.0</Value><Value for="TA23">127.0</Value><Value for="TA24">0.0</Value><Value for="TA25">222.0</Value><Value for="TA26">47.0</Value><Value for="TA27">110.0</Value><Value for="TA28">116.0</Value><Value for="TA29">0.0</Value><Value for="TA3">122.0</Value><Value for="TA30">0.0</Value><Value for="TA31">126.0</Value><Value for="TA32">104.0</Value><Value for="TA33">75.0</Value><Value for="TA34">36.0</Value><Value for="TA35">68.0</Value><Value for="TA36">68.0</Value><Value for="TA37">81.0</Value><Value for="TA38">75.0</Value><Value for="TA39">87.0</Value><Value for="TA4">NaN</Value><Value for="TA40">86.0</Value><Value for="TA41">70.0</Value><Value for="TA42">68.0</Value><Value for="TA43">72.0</Value><Value for="TA44">75.0</Value><Value for="TA45">47.0</Value><Value for="TA46">47.0</Value><Value for="TA47">73.0</Value><Value for="TA48">94.0</Value><Value for="TA49">84.0</Value><Value for="TA5">NaN</Value><Value for="TA50">0.0</Value><Value for="TA51">0.0</Value><Value for="TA52">77.0</Value><Value for="TA53">136.0</Value><Value for="TA54">71.0</Value><Value for="TA55">31.0</Value><Value for="TA56">29.0</Value><Value for="TA57">30.0</Value><Value for="TA58">102.0</Value><Value for="TA59">145.0</Value><Value for="TA6">NaN</Value><Value for="TA60">120.0</Value><Value for="TA62">112.0</Value><Value for="TA63">0.0</Value><Value for="TA64">100.0</Value><Value for="TA65">98.0</Value><Value for="TA66">0.0</Value><Value for="TA67">NaN</Value><Value for="TA68">0.0</Value><Value for="TA69">142.0</Value><Value for="TA7">90.5</Value><Value for="TA70">0.0</Value><Value for="TA71">96.0</Value><Value for="TA72">0.0</Value><Value for="TA73">51.0</Value><Value for="TA74">54.0</Value><Value for="TA75">39.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Climate change" /><Property name="dc:subject" value="Weather events associated with extreme climatic conditions" /><Property name="dc:subject.keyword" value="heat, sun, cold, flood. rainfall, wind, tornado, snow, frost, freeze, ice" /><Property name="dc:publisher" value="NIWA adapted to current format by the Centre for Public Health Research, Massey University" /><Property name="dc:creator" value="CliFlo (the web system that provides access to NIWA’s national climate database). NIWA is the National Institute of Water and Atmospheric Research." /><Property name="dc:date.created" value="2000 onwards (e-publication though Cliflo database)" /><Property name="dc:coverage.spatial" value="One weather station was used per TA, except for Auckland City (three weather stations were averaged).  The weather station selected was based on proximity to the population-weighted centroid for that TA, and completeness of data for the period 2000-onwards. Using the population-weighted centroid coordinates for each TA, we looked at weather stations within a 25km radius.  The weather station in closest proximity to the centroid was selected, provided it had complete data from the year 2000 for temperature and soil moisture.  Where there was insufficiently complete data, we then examined the next closest weather station, and so on until the ‘best fit’ was found.  Selected weather stations were 0.2-36.8km from the centroid, with a mean of 7.2km from the centroid.  In three cases, a weather station is used for two TAs (Otorohanga/Waitomo, Masterton/Carterton, Lower Hutt/Upper Hutt).  In some cases, no weather stations had complete data- usually one weather station was decommissioned and another started in a different site.  In the case of incomplete station data, we have used the station but indicated where data are missing. In Auckland, we chose three dispersed weather stations (North Shore, Henderson and Mangere) due to the significant population size in comparison to the rest of the country.  We averaged the data from the three stations to come up with a single Auckland Council value. " /><Property name="dc:coverage.temporal" value="Annual using the sum of monthly counts - January to December for each year shown. Missing values were treated in the following way.  If a weather station’s data included over 95% of the possible values for a particular year (i.e. 345 days), then a count of the number of days in SMD was undertaken.  If there were less than 345 days with a recorded SMD, then no calculation was made and the year shows as ‘blank’." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="NIWA Cliflo database" /><Property name="measure" value="annual count" /><Property name="dc:description" value="Annual number of days in soil moisture deficit (SMD). A day is in soil moisture deficit if the total soil moisture (calculated in millimetres from daily rainfall and evaporation) in the pasture plant root zone is less than 75mm .  This equates to less than half of the soil moisture holding capacity which is  set to 150 mm for all soils. " /><Property name="coverage.spatial" value="Soil moisture deficite was not available from weather stations within some TA's. Therefore: Lower Hutt is copied from Upper Hutt, and Waitomo is copied from Otorohanga" /></Indicator></Theme><Theme id="b8badd8f-91eb-4d79-929f-7261841593cc" ias:uid="1125" name="Air quality" xmlns:ias="http://server.instantatlas.com/metadata"><Theme id="0dda3187-404f-408c-8a2d-441c33c0a5f7" ias:uid="1139" name="Solid fuel use (household heating)" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i1387" name="Wood HH (%)" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=1387&amp;id=12481&amp;norefer=true" ias:uid="12481" ias:utime="2001-03-06 00:00:00+13:00" ias:full-name="Wood HH (%)" precision="1"><Value for="TA1">46.1</Value><Value for="TA10">NaN</Value><Value for="TA11">49.5</Value><Value for="TA12">62.9</Value><Value for="TA13">59.1</Value><Value for="TA15">56.4</Value><Value for="TA16">19.7</Value><Value for="TA17">50.3</Value><Value for="TA18">64.8</Value><Value for="TA19">65.1</Value><Value for="TA2">46.1</Value><Value for="TA20">66.7</Value><Value for="TA21">60.1</Value><Value for="TA22">54.4</Value><Value for="TA23">29.0</Value><Value for="TA24">52.4</Value><Value for="TA25">55.6</Value><Value for="TA26">62.6</Value><Value for="TA27">54.7</Value><Value for="TA28">58.7</Value><Value for="TA29">71.7</Value><Value for="TA3">60.0</Value><Value for="TA30">60.9</Value><Value for="TA31">54.1</Value><Value for="TA32">83.0</Value><Value for="TA33">38.0</Value><Value for="TA34">62.2</Value><Value for="TA35">48.7</Value><Value for="TA36">76.5</Value><Value for="TA37">33.1</Value><Value for="TA38">75.2</Value><Value for="TA39">60.9</Value><Value for="TA4">NaN</Value><Value for="TA40">24.6</Value><Value for="TA41">81.0</Value><Value for="TA42">47.5</Value><Value for="TA43">42.4</Value><Value for="TA44">37.2</Value><Value for="TA45">37.0</Value><Value for="TA46">29.5</Value><Value for="TA47">22.3</Value><Value for="TA48">74.5</Value><Value for="TA49">82.9</Value><Value for="TA5">NaN</Value><Value for="TA50">82.6</Value><Value for="TA51">67.6</Value><Value for="TA52">50.7</Value><Value for="TA53">61.9</Value><Value for="TA54">77.9</Value><Value for="TA55">73.0</Value><Value for="TA56">74.0</Value><Value for="TA57">73.4</Value><Value for="TA58">83.9</Value><Value for="TA59">65.6</Value><Value for="TA6">NaN</Value><Value for="TA60">39.2</Value><Value for="TA62">74.7</Value><Value for="TA63">71.0</Value><Value for="TA64">65.2</Value><Value for="TA65">81.6</Value><Value for="TA66">82.7</Value><Value for="TA67">58.3</Value><Value for="TA68">73.5</Value><Value for="TA69">72.1</Value><Value for="TA7">29.9</Value><Value for="TA70">65.0</Value><Value for="TA71">53.5</Value><Value for="TA72">74.3</Value><Value for="TA73">75.1</Value><Value for="TA74">63.9</Value><Value for="TA75">60.9</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator><Indicator id="i1387" name="Wood HH (%)" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=1387&amp;id=12482&amp;norefer=true" ias:uid="12482" ias:utime="2006-03-07 00:00:00+13:00" ias:full-name="Wood HH (%)" precision="1"><Value for="TA1">45.7</Value><Value for="TA10">NaN</Value><Value for="TA11">47.4</Value><Value for="TA12">58.8</Value><Value for="TA13">54.9</Value><Value for="TA15">52.6</Value><Value for="TA16">16.7</Value><Value for="TA17">45.5</Value><Value for="TA18">63.4</Value><Value for="TA19">61.5</Value><Value for="TA2">43.8</Value><Value for="TA20">64.4</Value><Value for="TA21">58.2</Value><Value for="TA22">51.6</Value><Value for="TA23">25.2</Value><Value for="TA24">51.9</Value><Value for="TA25">53.0</Value><Value for="TA26">63.4</Value><Value for="TA27">53.9</Value><Value for="TA28">57.3</Value><Value for="TA29">71.2</Value><Value for="TA3">57.2</Value><Value for="TA30">58.1</Value><Value for="TA31">51.1</Value><Value for="TA32">81.2</Value><Value for="TA33">39.3</Value><Value for="TA34">65.5</Value><Value for="TA35">49.9</Value><Value for="TA36">75.4</Value><Value for="TA37">34.7</Value><Value for="TA38">74.1</Value><Value for="TA39">63.5</Value><Value for="TA4">NaN</Value><Value for="TA40">27.4</Value><Value for="TA41">79.8</Value><Value for="TA42">49.1</Value><Value for="TA43">38.9</Value><Value for="TA44">34.6</Value><Value for="TA45">36.1</Value><Value for="TA46">28.4</Value><Value for="TA47">19.9</Value><Value for="TA48">73.0</Value><Value for="TA49">82.0</Value><Value for="TA5">NaN</Value><Value for="TA50">80.8</Value><Value for="TA51">63.8</Value><Value for="TA52">44.0</Value><Value for="TA53">56.9</Value><Value for="TA54">69.8</Value><Value for="TA55">71.8</Value><Value for="TA56">70.6</Value><Value for="TA57">69.2</Value><Value for="TA58">79.6</Value><Value for="TA59">60.8</Value><Value for="TA6">NaN</Value><Value for="TA60">31.6</Value><Value for="TA62">66.3</Value><Value for="TA63">65.1</Value><Value for="TA64">61.7</Value><Value for="TA65">81.6</Value><Value for="TA66">78.2</Value><Value for="TA67">59.0</Value><Value for="TA68">69.8</Value><Value for="TA69">65.7</Value><Value for="TA7">25.5</Value><Value for="TA70">58.2</Value><Value for="TA71">50.4</Value><Value for="TA72">71.6</Value><Value for="TA73">69.8</Value><Value for="TA74">59.0</Value><Value for="TA75">53.8</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator><Indicator id="i1387" name="Wood HH (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=1387&amp;id=12483&amp;norefer=true" ias:uid="12483" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="Wood HH (%)" precision="1"><Value for="TA1">44.3</Value><Value for="TA10">NaN</Value><Value for="TA11">43.9</Value><Value for="TA12">51.6</Value><Value for="TA13">49.8</Value><Value for="TA15">44.7</Value><Value for="TA16">13.2</Value><Value for="TA17">39.2</Value><Value for="TA18">56.9</Value><Value for="TA19">56.8</Value><Value for="TA2">40.5</Value><Value for="TA20">59.7</Value><Value for="TA21">55.7</Value><Value for="TA22">50.0</Value><Value for="TA23">21.7</Value><Value for="TA24">44.9</Value><Value for="TA25">49.1</Value><Value for="TA26">58.1</Value><Value for="TA27">50.5</Value><Value for="TA28">53.8</Value><Value for="TA29">71.1</Value><Value for="TA3">51.7</Value><Value for="TA30">49.1</Value><Value for="TA31">39.9</Value><Value for="TA32">77.4</Value><Value for="TA33">38.0</Value><Value for="TA34">63.0</Value><Value for="TA35">50.7</Value><Value for="TA36">74.2</Value><Value for="TA37">34.4</Value><Value for="TA38">73.9</Value><Value for="TA39">62.2</Value><Value for="TA4">NaN</Value><Value for="TA40">27.5</Value><Value for="TA41">77.0</Value><Value for="TA42">48.7</Value><Value for="TA43">37.9</Value><Value for="TA44">29.0</Value><Value for="TA45">33.5</Value><Value for="TA46">24.7</Value><Value for="TA47">16.8</Value><Value for="TA48">69.5</Value><Value for="TA49">76.9</Value><Value for="TA5">NaN</Value><Value for="TA50">78.1</Value><Value for="TA51">61.6</Value><Value for="TA52">33.1</Value><Value for="TA53">55.9</Value><Value for="TA54">67.5</Value><Value for="TA55">69.0</Value><Value for="TA56">66.4</Value><Value for="TA57">66.9</Value><Value for="TA58">77.4</Value><Value for="TA59">55.8</Value><Value for="TA6">NaN</Value><Value for="TA60">23.4</Value><Value for="TA62">60.6</Value><Value for="TA63">58.4</Value><Value for="TA64">57.8</Value><Value for="TA65">78.4</Value><Value for="TA66">73.2</Value><Value for="TA67">67.1</Value><Value for="TA68">67.6</Value><Value for="TA69">64.1</Value><Value for="TA7">21.0</Value><Value for="TA70">54.3</Value><Value for="TA71">47.4</Value><Value for="TA72">70.4</Value><Value for="TA73">64.5</Value><Value for="TA74">57.5</Value><Value for="TA75">46.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator><Indicator id="i1388" name="Coal HH (%)" type="numeric" date="2001-2005" href="/metadata/view/indicatorinstance?pid=1388&amp;id=12484&amp;norefer=true" ias:uid="12484" ias:utime="2001-03-06 00:00:00+13:00" ias:full-name="Coal HH (%)" precision="1"><Value for="TA1">2.5</Value><Value for="TA10">NaN</Value><Value for="TA11">6.0</Value><Value for="TA12">11.3</Value><Value for="TA13">18.6</Value><Value for="TA15">8.7</Value><Value for="TA16">5.7</Value><Value for="TA17">7.7</Value><Value for="TA18">7.9</Value><Value for="TA19">5.8</Value><Value for="TA2">2.8</Value><Value for="TA20">12.0</Value><Value for="TA21">4.1</Value><Value for="TA22">3.0</Value><Value for="TA23">2.4</Value><Value for="TA24">4.9</Value><Value for="TA25">3.1</Value><Value for="TA26">4.1</Value><Value for="TA27">3.3</Value><Value for="TA28">2.5</Value><Value for="TA29">3.6</Value><Value for="TA3">2.3</Value><Value for="TA30">4.3</Value><Value for="TA31">3.8</Value><Value for="TA32">3.6</Value><Value for="TA33">2.3</Value><Value for="TA34">4.3</Value><Value for="TA35">3.4</Value><Value for="TA36">13.8</Value><Value for="TA37">3.4</Value><Value for="TA38">5.3</Value><Value for="TA39">3.4</Value><Value for="TA4">NaN</Value><Value for="TA40">2.4</Value><Value for="TA41">3.3</Value><Value for="TA42">3.6</Value><Value for="TA43">4.3</Value><Value for="TA44">6.8</Value><Value for="TA45">4.0</Value><Value for="TA46">5.7</Value><Value for="TA47">5.0</Value><Value for="TA48">5.5</Value><Value for="TA49">5.1</Value><Value for="TA5">NaN</Value><Value for="TA50">5.8</Value><Value for="TA51">4.9</Value><Value for="TA52">5.6</Value><Value for="TA53">7.5</Value><Value for="TA54">6.5</Value><Value for="TA55">66.2</Value><Value for="TA56">69.8</Value><Value for="TA57">47.6</Value><Value for="TA58">10.7</Value><Value for="TA59">8.4</Value><Value for="TA6">NaN</Value><Value for="TA60">6.7</Value><Value for="TA62">15.8</Value><Value for="TA63">17.8</Value><Value for="TA64">17.4</Value><Value for="TA65">22.5</Value><Value for="TA66">18.1</Value><Value for="TA67">22.6</Value><Value for="TA68">28.2</Value><Value for="TA69">33.1</Value><Value for="TA7">5.5</Value><Value for="TA70">22.2</Value><Value for="TA71">28.8</Value><Value for="TA72">54.2</Value><Value for="TA73">58.8</Value><Value for="TA74">66.8</Value><Value for="TA75">53.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator><Indicator id="i1388" name="Coal HH (%)" type="numeric" date="2006-2012" href="/metadata/view/indicatorinstance?pid=1388&amp;id=12485&amp;norefer=true" ias:uid="12485" ias:utime="2006-03-07 00:00:00+13:00" ias:full-name="Coal HH (%)" precision="1"><Value for="TA1">2.2</Value><Value for="TA10">NaN</Value><Value for="TA11">4.7</Value><Value for="TA12">7.9</Value><Value for="TA13">13.6</Value><Value for="TA15">6.4</Value><Value for="TA16">3.8</Value><Value for="TA17">5.4</Value><Value for="TA18">6.2</Value><Value for="TA19">4.5</Value><Value for="TA2">2.6</Value><Value for="TA20">8.2</Value><Value for="TA21">3.5</Value><Value for="TA22">2.5</Value><Value for="TA23">2.0</Value><Value for="TA24">4.1</Value><Value for="TA25">3.4</Value><Value for="TA26">3.5</Value><Value for="TA27">3.1</Value><Value for="TA28">2.5</Value><Value for="TA29">2.5</Value><Value for="TA3">2.6</Value><Value for="TA30">3.7</Value><Value for="TA31">3.3</Value><Value for="TA32">3.3</Value><Value for="TA33">2.3</Value><Value for="TA34">3.7</Value><Value for="TA35">3.4</Value><Value for="TA36">12.9</Value><Value for="TA37">3.2</Value><Value for="TA38">5.1</Value><Value for="TA39">2.9</Value><Value for="TA4">NaN</Value><Value for="TA40">2.2</Value><Value for="TA41">3.2</Value><Value for="TA42">3.0</Value><Value for="TA43">3.1</Value><Value for="TA44">5.4</Value><Value for="TA45">3.1</Value><Value for="TA46">4.3</Value><Value for="TA47">3.5</Value><Value for="TA48">4.3</Value><Value for="TA49">4.4</Value><Value for="TA5">NaN</Value><Value for="TA50">4.5</Value><Value for="TA51">3.6</Value><Value for="TA52">3.0</Value><Value for="TA53">5.3</Value><Value for="TA54">6.4</Value><Value for="TA55">62.7</Value><Value for="TA56">66.0</Value><Value for="TA57">46.7</Value><Value for="TA58">8.8</Value><Value for="TA59">5.6</Value><Value for="TA6">NaN</Value><Value for="TA60">3.1</Value><Value for="TA62">10.3</Value><Value for="TA63">11.6</Value><Value for="TA64">12.1</Value><Value for="TA65">17.1</Value><Value for="TA66">11.5</Value><Value for="TA67">19.3</Value><Value for="TA68">20.1</Value><Value for="TA69">23.0</Value><Value for="TA7">3.9</Value><Value for="TA70">14.3</Value><Value for="TA71">22.7</Value><Value for="TA72">51.1</Value><Value for="TA73">51.2</Value><Value for="TA74">57.4</Value><Value for="TA75">44.3</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator><Indicator id="i1388" name="Coal HH (%)" type="numeric" date="2013-2017" href="/metadata/view/indicatorinstance?pid=1388&amp;id=12486&amp;norefer=true" ias:uid="12486" ias:utime="2013-03-06 00:00:00+13:00" ias:full-name="Coal HH (%)" precision="1"><Value for="TA1">1.6</Value><Value for="TA10">NaN</Value><Value for="TA11">2.5</Value><Value for="TA12">4.6</Value><Value for="TA13">8.2</Value><Value for="TA15">3.1</Value><Value for="TA16">2.0</Value><Value for="TA17">2.9</Value><Value for="TA18">3.2</Value><Value for="TA19">2.7</Value><Value for="TA2">1.5</Value><Value for="TA20">4.1</Value><Value for="TA21">2.2</Value><Value for="TA22">1.6</Value><Value for="TA23">1.2</Value><Value for="TA24">1.9</Value><Value for="TA25">2.1</Value><Value for="TA26">2.0</Value><Value for="TA27">2.4</Value><Value for="TA28">1.8</Value><Value for="TA29">2.2</Value><Value for="TA3">1.4</Value><Value for="TA30">1.6</Value><Value for="TA31">1.3</Value><Value for="TA32">1.9</Value><Value for="TA33">1.4</Value><Value for="TA34">2.3</Value><Value for="TA35">2.5</Value><Value for="TA36">8.2</Value><Value for="TA37">2.0</Value><Value for="TA38">3.4</Value><Value for="TA39">2.1</Value><Value for="TA4">NaN</Value><Value for="TA40">1.2</Value><Value for="TA41">2.2</Value><Value for="TA42">2.1</Value><Value for="TA43">1.6</Value><Value for="TA44">2.4</Value><Value for="TA45">2.0</Value><Value for="TA46">2.3</Value><Value for="TA47">1.7</Value><Value for="TA48">3.0</Value><Value for="TA49">2.5</Value><Value for="TA5">NaN</Value><Value for="TA50">3.2</Value><Value for="TA51">2.0</Value><Value for="TA52">0.7</Value><Value for="TA53">3.2</Value><Value for="TA54">3.4</Value><Value for="TA55">52.8</Value><Value for="TA56">57.8</Value><Value for="TA57">42.7</Value><Value for="TA58">4.6</Value><Value for="TA59">2.2</Value><Value for="TA6">NaN</Value><Value for="TA60">0.5</Value><Value for="TA62">4.4</Value><Value for="TA63">2.9</Value><Value for="TA64">5.4</Value><Value for="TA65">9.9</Value><Value for="TA66">6.1</Value><Value for="TA67">16.5</Value><Value for="TA68">11.6</Value><Value for="TA69">9.1</Value><Value for="TA7">2.1</Value><Value for="TA70">6.5</Value><Value for="TA71">13.1</Value><Value for="TA72">38.8</Value><Value for="TA73">37.6</Value><Value for="TA74">45.4</Value><Value for="TA75">29.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:subject" value="Main Household Heating (fuel) Type: Percentage" /><Property name="dc:subject.keyword" value="heating, fuel, electricty, gas, wood, coal, solar" /><Property name="dc:subject" value="Percentage of private occupied dwellings within the TA, whos main heating (fuel) type on census night  was the indicator stated. As more than one heating fuel source could be stated, percentages may not add up to 100." /><Property name="dc:publisher" value="Centre for Public Health Research" /><Property name="dc:creator" value="Centre for Public Health Research" /><Property name="dc:date.created" value="29/09/2014" /><Property name="dc:coverage.spatial" value="National" /><Property name="dc:coverage.temporal" value="Five yearly. The 2011 census was delayed until 2013 due to the February 2011 Christchurch earthquake. The time gap between census 2006-2013 was therefore seven years." /><Property name="dc:type" value="" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Statistics New Zealand (2001-2013 New Zealand Census) " /><Property name="numerator" value="Number (count) of private occupied dwellings in the RA stated, whose main heating source (on census night)  was the indicator stated in the TA stated" /><Property name="denominator" value="Total number (count) ofprivate occupied dwellings in the TA stated" /></Indicator></Theme></Theme><Theme id="25e53b98-9974-45e5-8c07-e91f273893a3" ias:uid="1126" name="Recreational water quality" xmlns:ias="http://server.instantatlas.com/metadata"><Theme id="LivestockDensity" ias:uid="1059" name="Livestock Density" xmlns:ias="http://server.instantatlas.com/metadata"><Indicator id="i2118" name="Density of Dairy Cattle per km²" type="numeric" date="2007-2011" href="/metadata/view/indicatorinstance?pid=2118&amp;id=11563&amp;norefer=true" ias:uid="11563" ias:utime="2007-01-01 00:00:00+13:00" ias:full-name="Density of Dairy Cattle per km²" precision="1"><Value for="TA1">13.6</Value><Value for="TA10">NaN</Value><Value for="TA11">14.7</Value><Value for="TA12">124.7</Value><Value for="TA13">81.6</Value><Value for="TA15">198.9</Value><Value for="TA16">82.2</Value><Value for="TA17">167.2</Value><Value for="TA18">77.7</Value><Value for="TA19">86.8</Value><Value for="TA2">47.1</Value><Value for="TA20">17.3</Value><Value for="TA21">15.7</Value><Value for="TA22">50.9</Value><Value for="TA23">NaN</Value><Value for="TA24">67.1</Value><Value for="TA25">26.3</Value><Value for="TA26">NaN</Value><Value for="TA27">9.4</Value><Value for="TA28">0.9</Value><Value for="TA29">0.0</Value><Value for="TA3">47.8</Value><Value for="TA30">6.1</Value><Value for="TA31">0.0</Value><Value for="TA32">10.1</Value><Value for="TA33">66.8</Value><Value for="TA34">38.0</Value><Value for="TA35">100.8</Value><Value for="TA36">2.6</Value><Value for="TA37">10.0</Value><Value for="TA38">9.4</Value><Value for="TA39">42.1</Value><Value for="TA4">NaN</Value><Value for="TA40">54.9</Value><Value for="TA41">26.1</Value><Value for="TA42">63.0</Value><Value for="TA43">12.2</Value><Value for="TA44">NaN</Value><Value for="TA45">2.7</Value><Value for="TA46">0.0</Value><Value for="TA47">NaN</Value><Value for="TA48">6.5</Value><Value for="TA49">21.7</Value><Value for="TA5">NaN</Value><Value for="TA50">17.4</Value><Value for="TA51">6.6</Value><Value for="TA52">NaN</Value><Value for="TA53">2.3</Value><Value for="TA54">5.6</Value><Value for="TA55">7.0</Value><Value for="TA56">11.7</Value><Value for="TA57">4.7</Value><Value for="TA58">6.2</Value><Value for="TA59">30.5</Value><Value for="TA6">NaN</Value><Value for="TA60">11.1</Value><Value for="TA62">23.2</Value><Value for="TA63">42.3</Value><Value for="TA64">36.6</Value><Value for="TA65">1.3</Value><Value for="TA66">20.4</Value><Value for="TA67">NaN</Value><Value for="TA68">10.0</Value><Value for="TA69">1.2</Value><Value for="TA7">NaN</Value><Value for="TA70">0.4</Value><Value for="TA71">11.0</Value><Value for="TA72">17.6</Value><Value for="TA73">12.7</Value><Value for="TA74">34.1</Value><Value for="TA75">39.5</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Livestock Density" /><Property name="dc:subject" value="Livestock, Dairy cattle" /><Property name="dc:subject.keyword" value="wood, coal, CO2 emmiting heat source" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/06/2007" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Quinquenniel" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Agricultural Production Census: &lt;a href=&quot;http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/agriculturalproduction_hotpjun07final.aspx&quot;&gt; &lt;a href=&quot;http://http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/2012-agricultural-census-tables/livestock.aspx&gt;" /><Property name="dc:description" value="Total number ofdairy cattle per square kilometre within the specified TA " /><Property name="numerator" value="Total number of dairy cattle within the TA specified" /><Property name="denominator" value="Total area (in square kilometres) of the TA specified" /></Indicator><Indicator id="i2118" name="Density of Dairy Cattle per km²" type="numeric" date="2012-2016" href="/metadata/view/indicatorinstance?pid=2118&amp;id=11564&amp;norefer=true" ias:uid="11564" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Density of Dairy Cattle per km²" precision="1"><Value for="TA1">15.7</Value><Value for="TA10">NaN</Value><Value for="TA11">15.0</Value><Value for="TA12">132.1</Value><Value for="TA13">105.3</Value><Value for="TA15">208.2</Value><Value for="TA16">68.8</Value><Value for="TA17">180.0</Value><Value for="TA18">93.1</Value><Value for="TA19">96.4</Value><Value for="TA2">50.0</Value><Value for="TA20">24.6</Value><Value for="TA21">19.9</Value><Value for="TA22">49.9</Value><Value for="TA23">NaN</Value><Value for="TA24">70.7</Value><Value for="TA25">26.3</Value><Value for="TA26">NaN</Value><Value for="TA27">9.9</Value><Value for="TA28">2.0</Value><Value for="TA29">1.3</Value><Value for="TA3">50.6</Value><Value for="TA30">7.9</Value><Value for="TA31">2.8</Value><Value for="TA32">13.8</Value><Value for="TA33">70.7</Value><Value for="TA34">38.7</Value><Value for="TA35">102.3</Value><Value for="TA36">4.2</Value><Value for="TA37">10.6</Value><Value for="TA38">12.7</Value><Value for="TA39">53.0</Value><Value for="TA4">NaN</Value><Value for="TA40">60.4</Value><Value for="TA41">31.1</Value><Value for="TA42">65.2</Value><Value for="TA43">11.6</Value><Value for="TA44">NaN</Value><Value for="TA45">4.5</Value><Value for="TA46">0.0</Value><Value for="TA47">NaN</Value><Value for="TA48">10.0</Value><Value for="TA49">23.2</Value><Value for="TA5">NaN</Value><Value for="TA50">19.5</Value><Value for="TA51">7.5</Value><Value for="TA52">NaN</Value><Value for="TA53">3.2</Value><Value for="TA54">6.5</Value><Value for="TA55">7.6</Value><Value for="TA56">13.2</Value><Value for="TA57">5.7</Value><Value for="TA58">11.9</Value><Value for="TA59">50.7</Value><Value for="TA6">NaN</Value><Value for="TA60">7.9</Value><Value for="TA62">31.2</Value><Value for="TA63">69.6</Value><Value for="TA64">52.2</Value><Value for="TA65">3.4</Value><Value for="TA66">37.2</Value><Value for="TA67">NaN</Value><Value for="TA68">16.6</Value><Value for="TA69">4.9</Value><Value for="TA7">18.5</Value><Value for="TA70">0.3</Value><Value for="TA71">10.8</Value><Value for="TA72">25.8</Value><Value for="TA73">19.6</Value><Value for="TA74">58.6</Value><Value for="TA75">43.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Livestock Density" /><Property name="dc:subject" value="Livestock, Dairy cattle" /><Property name="dc:subject.keyword" value="wood, coal, CO2 emmiting heat source" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/06/2007" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Quinquenniel" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Agricultural Production Census: &lt;a href=&quot;http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/agriculturalproduction_hotpjun07final.aspx&quot;&gt; &lt;a href=&quot;http://http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/2012-agricultural-census-tables/livestock.aspx&gt;" /><Property name="dc:description" value="Total number ofdairy cattle per square kilometre within the specified TA " /><Property name="numerator" value="Total number of dairy cattle within the TA specified" /><Property name="denominator" value="Total area (in square kilometres) of the TA specified" /></Indicator><Indicator id="i2119" name="Density of Livestock per km²" type="numeric" date="2007-2011" href="/metadata/view/indicatorinstance?pid=2119&amp;id=11565&amp;norefer=true" ias:uid="11565" ias:utime="2007-01-01 00:00:00+13:00" ias:full-name="Density of Livestock per km²" precision="1"><Value for="TA1">83.3</Value><Value for="TA10">NaN</Value><Value for="TA11">67.4</Value><Value for="TA12">NaN</Value><Value for="TA13">254.7</Value><Value for="TA15">265.4</Value><Value for="TA16">NaN</Value><Value for="TA17">291.5</Value><Value for="TA18">258.1</Value><Value for="TA19">125.4</Value><Value for="TA2">125.5</Value><Value for="TA20">325.2</Value><Value for="TA21">114.3</Value><Value for="TA22">126.9</Value><Value for="TA23">NaN</Value><Value for="TA24">188.3</Value><Value for="TA25">42.9</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">256.1</Value><Value for="TA29">215.7</Value><Value for="TA3">163.4</Value><Value for="TA30">280.9</Value><Value for="TA31">253.6</Value><Value for="TA32">517.6</Value><Value for="TA33">168.7</Value><Value for="TA34">167.2</Value><Value for="TA35">200.0</Value><Value for="TA36">238.6</Value><Value for="TA37">326.2</Value><Value for="TA38">446.3</Value><Value for="TA39">444.6</Value><Value for="TA4">NaN</Value><Value for="TA40">286.1</Value><Value for="TA41">482.9</Value><Value for="TA42">179.3</Value><Value for="TA43">90.2</Value><Value for="TA44">NaN</Value><Value for="TA45">29.0</Value><Value for="TA46">19.8</Value><Value for="TA47">NaN</Value><Value for="TA48">450.5</Value><Value for="TA49">281.9</Value><Value for="TA5">NaN</Value><Value for="TA50">235.7</Value><Value for="TA51">50.4</Value><Value for="TA52">NaN</Value><Value for="TA53">63.8</Value><Value for="TA54">89.2</Value><Value for="TA55">10.1</Value><Value for="TA56">23.9</Value><Value for="TA57">NaN</Value><Value for="TA58">210.4</Value><Value for="TA59">252.8</Value><Value for="TA6">NaN</Value><Value for="TA60">267.7</Value><Value for="TA62">190.8</Value><Value for="TA63">281.1</Value><Value for="TA64">349.0</Value><Value for="TA65">100.6</Value><Value for="TA66">250.1</Value><Value for="TA67">NaN</Value><Value for="TA68">163.9</Value><Value for="TA69">188.8</Value><Value for="TA7">NaN</Value><Value for="TA70">51.0</Value><Value for="TA71">278.5</Value><Value for="TA72">436.5</Value><Value for="TA73">184.1</Value><Value for="TA74">842.1</Value><Value for="TA75">273.0</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Livestock Density" /><Property name="dc:subject" value="Livestock, Dairy cattle" /><Property name="dc:subject.keyword" value="wood, coal, CO2 emmiting heat source" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/06/2007" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Quinquenniel" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Agricultural Production Census: &lt;a href=&quot;http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/agriculturalproduction_hotpjun07final.aspx&quot;&gt; &lt;a href=&quot;http://http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/2012-agricultural-census-tables/livestock.aspx&gt;" /><Property name="dc:description" value="Total number of livestock - dairy and beef cattle, sheep and deer per square kilometre within the specified TA " /><Property name="numerator" value="Total number of livestock within the TA specified" /><Property name="denominator" value="Total area (in square kilometres) of the TA specified" /></Indicator><Indicator id="i2119" name="Density of Livestock per km²" type="numeric" date="2012-2016" href="/metadata/view/indicatorinstance?pid=2119&amp;id=11566&amp;norefer=true" ias:uid="11566" ias:utime="2012-01-01 00:00:00+13:00" ias:full-name="Density of Livestock per km²" precision="1"><Value for="TA1">73.4</Value><Value for="TA10">NaN</Value><Value for="TA11">47.5</Value><Value for="TA12">NaN</Value><Value for="TA13">300.5</Value><Value for="TA15">243.3</Value><Value for="TA16">NaN</Value><Value for="TA17">268.5</Value><Value for="TA18">214.1</Value><Value for="TA19">120.8</Value><Value for="TA2">112.9</Value><Value for="TA20">254.6</Value><Value for="TA21">78.5</Value><Value for="TA22">110.3</Value><Value for="TA23">NaN</Value><Value for="TA24">165.7</Value><Value for="TA25">41.5</Value><Value for="TA26">NaN</Value><Value for="TA27">NaN</Value><Value for="TA28">220.5</Value><Value for="TA29">164.3</Value><Value for="TA3">137.6</Value><Value for="TA30">286.7</Value><Value for="TA31">312.7</Value><Value for="TA32">484.7</Value><Value for="TA33">147.3</Value><Value for="TA34">137.4</Value><Value for="TA35">165.8</Value><Value for="TA36">201.2</Value><Value for="TA37">281.5</Value><Value for="TA38">391.1</Value><Value for="TA39">346.4</Value><Value for="TA4">NaN</Value><Value for="TA40">271.0</Value><Value for="TA41">414.5</Value><Value for="TA42">141.0</Value><Value for="TA43">55.0</Value><Value for="TA44">NaN</Value><Value for="TA45">29.5</Value><Value for="TA46">18.0</Value><Value for="TA47">NaN</Value><Value for="TA48">403.9</Value><Value for="TA49">297.8</Value><Value for="TA5">NaN</Value><Value for="TA50">218.9</Value><Value for="TA51">42.1</Value><Value for="TA52">NaN</Value><Value for="TA53">61.2</Value><Value for="TA54">58.0</Value><Value for="TA55">9.7</Value><Value for="TA56">25.6</Value><Value for="TA57">NaN</Value><Value for="TA58">174.0</Value><Value for="TA59">207.4</Value><Value for="TA6">NaN</Value><Value for="TA60">211.9</Value><Value for="TA62">162.6</Value><Value for="TA63">232.8</Value><Value for="TA64">267.6</Value><Value for="TA65">88.0</Value><Value for="TA66">203.5</Value><Value for="TA67">NaN</Value><Value for="TA68">143.0</Value><Value for="TA69">171.9</Value><Value for="TA7">71.5</Value><Value for="TA70">48.4</Value><Value for="TA71">279.5</Value><Value for="TA72">382.0</Value><Value for="TA73">149.6</Value><Value for="TA74">724.4</Value><Value for="TA75">263.2</Value><Value for="TA8">NaN</Value><Value for="TA9">NaN</Value><Value for="TAcode">NaN</Value><ComparisonValue for="NZ1">NaN</ComparisonValue><Property name="dc:title" value="Livestock Density" /><Property name="dc:subject" value="Livestock, Dairy cattle" /><Property name="dc:subject.keyword" value="wood, coal, CO2 emmiting heat source" /><Property name="dc:publisher" value="Statistics New Zealand" /><Property name="dc:date.available" value="1/06/2007" /><Property name="dc:creator" value="Statistics New Zealand" /><Property name="dc:coverage.spatial" value="Territorial Authority (TA)" /><Property name="dc:coverage.temporal" value="Quinquenniel" /><Property name="dc:language" value="English" /><Property name="dc:rights" value="Public" /><Property name="dc:source" value="Agricultural Production Census: &lt;a href=&quot;http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/agriculturalproduction_hotpjun07final.aspx&quot;&gt; &lt;a href=&quot;http://http://www.stats.govt.nz/browse_for_stats/industry_sectors/agriculture-horticulture-forestry/2012-agricultural-census-tables/livestock.aspx&gt;" /><Property name="dc:description" value="Total number of livestock - dairy and beef cattle, sheep and deer per square kilometre within the specified TA " /><Property name="numerator" value="Total number of livestock within the TA specified" /><Property name="denominator" value="Total area (in square kilometres) of the TA specified" /></Indicator></Theme></Theme></Theme></ThemeList></Geography></AtlasData>