45 datasets found
  1. 2023 Census Māori descent population change by statistical area 2

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 18, 2024
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    Stats NZ (2024). 2023 Census Māori descent population change by statistical area 2 [Dataset]. https://datafinder.stats.govt.nz/layer/119473-2023-census-maori-descent-population-change-by-statistical-area-2/attachments/25368/
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    geopackage / sqlite, mapinfo mif, mapinfo tab, csv, geodatabase, pdf, kml, dwg, shapefileAvailable download formats
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Dataset contains Māori descent indicator census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the Māori descent indicator counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by statistical area 2.

    Māori descent indicator categories are:

    • Māori descent
    • No Māori descent
    • Don’t know

    Map shows the percentage change in the Māori descent census usually resident population count between the 2018 and 2023 Censuses.

    Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

    Footnotes

    Te Whata

    Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.

    Geographical boundaries

    Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

    Subnational census usually resident population

    The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

    Caution using time series

    Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

    About the 2023 Census dataset

    For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

    Data quality

    The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

    Quality rating of a variable

    The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

    Māori descent concept quality rating

    Māori descent is rated as very high quality.

    Māori descent – 2023 Census: Information by concept has more information, for example, definitions and data quality.

    Using data for good

    Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

    Confidentiality

    The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

    Symbol

    -998 Not applicable

    -999 Confidential

    Percentages

    To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

  2. 2023 Census population change by ethnic group and regional council

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    + more versions
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    Stats NZ, 2023 Census population change by ethnic group and regional council [Dataset]. https://datafinder.stats.govt.nz/layer/117643-2023-census-population-change-by-ethnic-group-and-regional-council/
    Explore at:
    mapinfo tab, geodatabase, mapinfo mif, kml, geopackage / sqlite, csv, shapefile, dwg, pdfAvailable download formats
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Dataset contains ethnic group census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the ethnic group population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.

    The ethnic groups are:

    • European
    • Māori
    • Pacific peoples
    • Asian
    • Middle Eastern/Latin American/African
    • Other ethnicity.

    Map shows percentage change in the census usually resident population count for ethnic groups between the 2018 and 2023 Censuses.

    Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

    Footnotes

    Geographical boundaries

    Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

    Subnational census usually resident population

    The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

    Caution using time series

    Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

    About the 2023 Census dataset

    For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

    Data quality

    The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

    Quality rating of a variable

    The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

    Ethnicity concept quality rating

    Ethnicity is rated as high quality.

    Ethnicity – 2023 Census: Information by concept has more information, for example, definitions and data quality.

    Using data for good

    Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

    Confidentiality

    The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

    Symbol

    -998 Not applicable

    Percentages

    To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

  3. a

    NZ Māori Wards - Archive

    • hub.arcgis.com
    • digital-earth-pacificcore.hub.arcgis.com
    Updated Jan 18, 2023
    + more versions
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    Eagle Technology Group Ltd (2023). NZ Māori Wards - Archive [Dataset]. https://hub.arcgis.com/datasets/5e95349d27754b21b3068b713df63173
    Explore at:
    Dataset updated
    Jan 18, 2023
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand,
    Description

    Topicality: 01-01-2025Projection: New Zealand Transverse Mercator (NZTM)This layer contains the archive of the Māori Ward boundaries as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian).The Local Electoral Act 2001 provides that Māori wards may be established in territorial authorities. The statutory provisions for establishing Māori wards are set out in sections 19Z to 19ZH of the Local Electoral Act 2001. The first Māori ward was established by representation review in 2019 and appears in the 2021 geographic boundaries released by Stats NZ. The first Māori ward to be created is Wairoa Māori ward (02901) in the Wairoa District. Māori ward boundaries are defined at meshblock level. This layer get updated yearly with the latest boundary data. You can use this layer when you need any year of boundary data in your map. By setting a filter on the dataset year you can filter on specific year of the dataset.For information about the fields in this dataset go to the Data tab.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.If you only need the latest boundary data in your map you can use the current version of this dataset. All the current versions of Stats NZ Boundary layers can be found here.The official dataset can be found on https://datafinder.stats.govt.nz.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

  4. a

    NZ Māori Constituencies - Archive

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 18, 2023
    + more versions
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    Eagle Technology Group Ltd (2023). NZ Māori Constituencies - Archive [Dataset]. https://hub.arcgis.com/datasets/8d442899956446188be600fbaa8ad6dc
    Explore at:
    Dataset updated
    Jan 18, 2023
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Topicality: 01-01-2025Projection: New Zealand Transverse Mercator (NZTM)This layer contains the archive of regional council Māori constituency boundaries as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian). Māori constituencies are established under the Local Electoral Act 2001 and result from the division of a region for electoral purposes.Māori constituencies are divisions of regional council areas. They are created, based on population, to be the voting areas within councils. Māori constituencies are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geography. If a regional council decides to have a Māori constituency, the constituencies within the council are known as general constituencies and Māori constituencies. The boundaries of Māori constituencies may be reviewed before each three yearly local government election. Regional councils must review their representation arrangements at least once every six years. The provisions for such reviews are contained in the Local Government Act 2002. Māori constituencies are numbered based on their corresponding regional council. Each Māori constituency has a unique four-digit code. The first two digits represent the regional council that the Māori constituency lies within. The last two digits are sequential and represent the number of Māori constituencies within a regional council. For example, the Waikato Regional Council (03) contains two Māori constituencies which are coded 0301 and 0302.This layer get updated yearly with the latest boundary data. You can use this layer when you need any year of boundary data in your map. By setting a filter on the dataset year you can filter on specific year of the dataset.For information about the fields in this dataset go to the Data tab.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.If you only need the latest boundary data in your map you can use the current version of this dataset. All the current versions of Stats NZ Boundary layers can be found here.The official dataset can be found on https://datafinder.stats.govt.nz.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

  5. f

    Population - National population projections by age, sex and ethnic group...

    • figure.nz
    csv
    Updated Jun 4, 2024
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    Figure.NZ (2024). Population - National population projections by age, sex and ethnic group (2018-base) 2018–2043 [Dataset]. https://figure.nz/table/2Sxncql8OyuRAjuN
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Figure.NZ
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Demographic projections provide an indication of future trends in the size and composition of the population, labour force, families and households. National Projections are produced at the national level (New Zealand) for the population (total, Māori, Pacific, Asian, and European ethnic groups), families, households and labour force. This dataset contains 2018-base projections of the European or Other (including New Zealander), Maori, Asian, Pacific, Middle Eastern/Latin American/African, Chinese, Indian, and Samoan ethnic populations usually living in New Zealand (released May 2021). These projections have the estimated resident population of each ethnic group at 30 June 2018 as a base.

  6. 2023 Census totals by topic for individuals by statistical area 1 – part 2

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 9, 2024
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    Stats NZ (2024). 2023 Census totals by topic for individuals by statistical area 1 – part 2 [Dataset]. https://datafinder.stats.govt.nz/layer/120792-2023-census-totals-by-topic-for-individuals-by-statistical-area-1-part-2/
    Explore at:
    csv, shapefile, pdf, geodatabase, kml, geopackage / sqlite, mapinfo tab, mapinfo mif, dwgAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 1.

    The variables included in this dataset are for the census usually resident population count (unless otherwise stated). All data is for level 1 of the classification.

    The variables for part 2 of the dataset are:

    • Individual home ownership for the census usually resident population count aged 15 years and over
    • Usual residence 1 year ago indicator
    • Usual residence 5 years ago indicator
    • Years at usual residence
    • Average years at usual residence
    • Years since arrival in New Zealand for the overseas-born census usually resident population count
    • Average years since arrival in New Zealand for the overseas-born census usually resident population count
    • Study participation
    • Main means of travel to education, by usual residence address for the census usually resident population who are studying
    • Main means of travel to education, by education address for the census usually resident population who are studying
    • Highest qualification for the census usually resident population count aged 15 years and over
    • Post-school qualification in New Zealand indicator for the census usually resident population count aged 15 years and over
    • Highest secondary school qualification for the census usually resident population count aged 15 years and over
    • Post-school qualification level of attainment for the census usually resident population count aged 15 years and over
    • Sources of personal income (total responses) for the census usually resident population count aged 15 years and over
    • Total personal income for the census usually resident population count aged 15 years and over
    • Median ($) total personal income for the census usually resident population count aged 15 years and over
    • Work and labour force status for the census usually resident population count aged 15 years and over
    • Job search methods (total responses) for the unemployed census usually resident population count aged 15 years and over
    • Status in employment for the employed census usually resident population count aged 15 years and over
    • Unpaid activities (total responses) for the census usually resident population count aged 15 years and over
    • Hours worked in employment per week for the employed census usually resident population count aged 15 years and over
    • Average hours worked in employment per week for the employed census usually resident population count aged 15 years and over
    • Industry, by usual residence address for the employed census usually resident population count aged 15 years and over
    • Industry, by workplace address for the employed census usually resident population count aged 15 years and over
    • Occupation, by usual residence address for the employed census usually resident population count aged 15 years and over
    • Occupation, by workplace address for the employed census usually resident population count aged 15 years and over
    • Main means of travel to work, by usual residence address for the employed census usually resident population count aged 15 years and over
    • Main means of travel to work, by workplace address for the employed census usually resident population count aged 15 years and over
    • Sector of ownership for the employed census usually resident population count aged 15 years and over
    • Individual unit data source.

    Download lookup file for part 2 from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

    Footnotes

    Te Whata

    Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.

    Geographical boundaries

    Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

    Subnational census usually resident population

    The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

    Population counts

    Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts.

    Caution using time series

    Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

    Study participation time series

    In the 2013 Census study participation was only collected for the census usually resident population count aged 15 years and over.

    About the 2023 Census dataset

    For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

    Data quality

    The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

    Concept descriptions and quality ratings

    Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.

    Disability indicator

    This data should not be used as an official measure of disability prevalence. Disability prevalence estimates are only available from the 2023 Household Disability Survey. Household Disability Survey 2023: Final content has more information about the survey.

    Activity limitations are measured using the Washington Group Short Set (WGSS). The WGSS asks about six basic activities that a person might have difficulty with: seeing, hearing, walking or climbing stairs, remembering or concentrating, washing all over or dressing, and communicating. A person was classified as disabled in the 2023 Census if there was at least one of these activities that they had a lot of difficulty with or could not do at all.

    Using data for good

    Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

    Confidentiality

    The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

    Measures

    Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value

  7. a

    NZ Māori Constituencies - 2021 (Mature Support)

    • geoportal-pacificcore.hub.arcgis.com
    • pacificgeoportal.com
    • +1more
    Updated Feb 4, 2021
    + more versions
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    Eagle Technology Group Ltd (2021). NZ Māori Constituencies - 2021 (Mature Support) [Dataset]. https://geoportal-pacificcore.hub.arcgis.com/items/3a2916ede1154c518ce0d2b980d22ede
    Explore at:
    Dataset updated
    Feb 4, 2021
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Important Note: This item is in mature support as of January 2024 and will retire in January 2025. When you need the most recent boundary layer please use this item. When you need the boundaries for a specific year, please use this item and set a filter on the required year.Topicality: 01-01-2021Projection: New Zealand Transverse Mercator (NZTM)This layer is based on the definitive set of regional council Māori constituency boundaries for 2021 as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian). Māori constituencies are established under the Local Electoral Act 2001 and result from the division of a region for electoral purposes.Māori constituencies are divisions of regional council areas. They are created, based on population, to be the voting areas within councils. Māori constituencies are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geography. If a regional council decides to have a Māori constituency, the constituencies within the council are known as general constituencies and Māori constituencies. Classifications exist annually from 2005 to 2021. The boundaries of Māori constituencies may be reviewed before each three yearly local government election. Regional councils must review their representation arrangements at least once every six years. The provisions for such reviews are contained in the Local Government Act 2002. Māori constituencies are numbered based on their corresponding regional council. Each Māori constituency has a unique four-digit code. The first two digits represent the regional council that the Māori constituency lies within. The last two digits are sequential and represent the number of Māori constituencies within a regional council. For example, the Waikato Regional Council (03) contains two Māori constituencies which are coded 0301 and 0302.This layer shows the data for 2021. If you would like to use the layer that gets updated yearly with the latest boundary data, you can use this item.All the boundary layers can be found here.All the boundary layers that are updated yearly can be found here.The official dataset can be found on https://datafinder.stats.govt.nz.This layer contains the following attributes (see data tab):Māori Constituency codeMāori Constituency nameTotal area in square kilometersTotal land area in square kilometers.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

  8. Estimated Resident Population at 30 June 2018 by Statistical Area 2

    • catalogue.data.govt.nz
    • datafinder.stats.govt.nz
    csv, dwg, filegdb +6
    Updated Sep 21, 2020
    + more versions
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    Stats NZ (2020). Estimated Resident Population at 30 June 2018 by Statistical Area 2 [Dataset]. https://catalogue.data.govt.nz/dataset/groups/estimated-resident-population-at-30-june-2018-by-statistical-area-2
    Explore at:
    filegdb, pdf, shp, kml, gpkg, csv, mapinfo file, mapinfo mif, dwgAvailable download formats
    Dataset updated
    Sep 21, 2020
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains information on:

    · Estimated resident population (ERP) at 30 June 1996, 2001, 2006, 2013, and 2018 for total population

    · ERP at 30 June 2018 by ethnic groups (European or Other (including New Zealander), Māori, Pacific, Asian, and Middle Eastern/Latin American/African) – estimates and percentage

    · Sex ratio – number of males per 100 females

    · ERP at 30 June 2018 by broad age groups and median age

    · Geographies available are regional council areas, territorial authority and Auckland local board areas, Statistical Area 2, and urban rural.

    Note: The geography corresponds to 2020 boundaries

    Note: -999 indicates data are not available.

    About the estimated resident population

    The estimated resident population at 30 June in the census year is based on the census usually resident population count, with updates for:

    · net census undercount (as measured by a post-enumeration survey)

    · residents temporarily overseas on census night

    · births, deaths and net migration between census night and 30 June

    · reconciliation with demographic estimates at the youngest ages.

    The estimated resident population is not directly comparable with the census usually resident population count because of these adjustments.

    For more detailed information about the methods used to calculate each base population, see DataInfo+ Demographic estimates.

    Ethnic groups

    It is important to note that these ethnic groups are not mutually exclusive because people can and do identify with more than one ethnicity. People who identify with more than one ethnicity have been included in each ethnic group.

    The 'Māori', 'Pacific', 'Asian' and 'Middle Eastern/Latin American/African' ethnic groups are defined in level 1 of the Ethnicity New Zealand Standard Classification 2005. The estimates for the 'European or Other (including New Zealander)' group include people who belong to the 'European' or 'Other ethnicity' groups defined in level 1 of the standard classification. If a person belongs to both the 'European' and 'Other ethnicity' groups they have only been counted once. Almost all people in the 'Other ethnicity' group belong to the 'New Zealander' sub-group.

    Time series

    This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between the 2006-base and 2013-base estimated resident population is seven years. The change in data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends.

    Rounding

    Individual figures may not sum to stated totals due to rounding.

    More information

    See Estimated resident population (2018-base): At 30 June 2018 for commentary about the 2018 ERP.

    Subnational population estimates concepts – DataInfo+ provides definitions of terms used in the map.

    Access more population estimates data in NZ.Stat:

    Theme: Population estimates.

  9. f

    The New Zealand Indices of Multiple Deprivation (IMD): A new suite of...

    • plos.figshare.com
    png
    Updated Jun 1, 2023
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    Daniel John Exeter; Jinfeng Zhao; Sue Crengle; Arier Lee; Michael Browne (2023). The New Zealand Indices of Multiple Deprivation (IMD): A new suite of indicators for social and health research in Aotearoa, New Zealand [Dataset]. http://doi.org/10.1371/journal.pone.0181260
    Explore at:
    pngAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daniel John Exeter; Jinfeng Zhao; Sue Crengle; Arier Lee; Michael Browne
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    For the past 20 years, the New Zealand Deprivation Index (NZDep) has been the universal measure of area-based social circumstances for New Zealand (NZ) and often the key social determinant used in population health and social research. This paper presents the first theoretical and methodological shift in the measurement of area deprivation in New Zealand since the 1990s and describes the development of the New Zealand Index of Multiple Deprivation (IMD).We briefly describe the development of Data Zones, an intermediary geographical scale, before outlining the development of the New Zealand Index of Multiple Deprivation (IMD), which uses routine datasets and methods comparable to current international deprivation indices. We identified 28 indicators of deprivation from national health, social development, taxation, education, police databases, geospatial data providers and the 2013 Census, all of which represented seven Domains of deprivation: Employment; Income; Crime; Housing; Health; Education; and Geographical Access. The IMD is the combination of these seven Domains. The Domains may be used individually or in combination, to explore the geography of deprivation and its association with a given health or social outcome.Geographic variations in the distribution of the IMD and its Domains were found among the District Health Boards in NZ, suggesting that factors underpinning overall deprivation are inconsistent across the country. With the exception of the Access Domain, the IMD and its Domains were statistically and moderately-to-strongly associated with both smoking rates and household poverty.The IMD provides a more nuanced view of area deprivation circumstances in Aotearoa NZ. Our vision is for the IMD and the Data Zones to be widely used to inform research, policy and resource allocation projects, providing a better measurement of area deprivation in NZ, improved outcomes for Māori, and a more consistent approach to reporting and monitoring the social climate of NZ.

  10. a

    NZ Māori Constituencies - 2023 - Provisional (Mature Support)

    • geoportal-pacificcore.hub.arcgis.com
    Updated Jul 25, 2022
    + more versions
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    Eagle Technology Group Ltd (2022). NZ Māori Constituencies - 2023 - Provisional (Mature Support) [Dataset]. https://geoportal-pacificcore.hub.arcgis.com/items/00507f21185c4ea4939cecfe0c656817
    Explore at:
    Dataset updated
    Jul 25, 2022
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand,
    Description

    Important Note: This item is in mature support as of January 2024 and will retire in January 2025. When you need the most recent boundary layer please use this item. When you need the boundaries for a specific year, please use this item and set a filter on the required year.Topicality: 23-06-2022Projection: New Zealand Transverse Mercator (NZTM)NB: This layer will be deprecated when the official 2023 boundary layers are released.This dataset is the povisional 2023 dataset for Community Board. The final 2023 layer is scheduled to be published on 8 December 2022 as part of the annual boundary release.The intention of providing this provisional dataset is to make available the boundaries that will be used for the local body elections being held in October 2022.This layer is based on the provisional set of regional council Māori constituency boundaries for 2023 as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian). Māori constituencies are established under the Local Electoral Act 2001 and result from the division of a region for electoral purposes.Māori constituencies are divisions of regional council areas. They are created, based on population, to be the voting areas within councils. Māori constituencies are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geography. If a regional council decides to have a Māori constituency, the constituencies within the council are known as general constituencies and Māori constituencies. Classifications exist annually from 2005 to 2023. The boundaries of Māori constituencies may be reviewed before each three yearly local government election. Regional councils must review their representation arrangements at least once every six years. The provisions for such reviews are contained in the Local Government Act 2002. Māori constituencies are numbered based on their corresponding regional council. Each Māori constituency has a unique four-digit code. The first two digits represent the regional council that the Māori constituency lies within. The last two digits are sequential and represent the number of Māori constituencies within a regional council. For example, the Waikato Regional Council (03) contains two Māori constituencies which are coded 0301 and 0302.This layer shows the provisional data for 2023. If you would like to use the layer that gets updated yearly with the latest boundary data, you can use this item.All the boundary layers can be found here.All the boundary layers that are updated yearly can be found here.The official dataset can be found on https://datafinder.stats.govt.nz.This layer contains the following attributes (see data tab):Māori Constituency codeMāori Constituency nameTotal area in square kilometersTotal land area in square kilometers.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

  11. h

    nz_legislation

    • huggingface.co
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    Gardner Bickford, nz_legislation [Dataset]. https://huggingface.co/datasets/gardner/nz_legislation
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Gardner Bickford
    License

    https://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/

    Area covered
    New Zealand
    Description

    Overview

    This is an initial version of public acts collected from legislation.govt.nz. The preamble sections of the acts have been excluded from this dataset. Feedback is welcome: gardner@bickford.nz The data is in jsonl format and each line contains: { "id": "DLM415522", "year": "1974", "title": "Ngarimu VC and 28th (Maori) Battalion Memorial Scholarship Fund Amendment Act 1974", "text": "1: Short Title This Act may be cited as the Ngarimu VC and 28th (Maori)… See the full description on the dataset page: https://huggingface.co/datasets/gardner/nz_legislation.

  12. b

    Oranga - Wellbeing

    • data.bioheritage.nz
    blseplidou5jybt2, pdf
    Updated Feb 26, 2025
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    Ngā Rākau Taketake Inventory (2025). Oranga - Wellbeing [Dataset]. https://data.bioheritage.nz/dataset/theme_1_oranga
    Explore at:
    pdf, pdf(2359473), pdf(2873568), pdf(2063607), pdf(5444212), pdf(2502200), pdf(33657885), pdf(4048220), blseplidou5jybt2Available download formats
    Dataset updated
    Feb 26, 2025
    Dataset provided by
    Ngā Rākau Taketake Inventory
    Description

    Te mauri o te rakau, te mauri o te ngahere, te mauri o te tangata: Mātauranga Māori based solutions for kauri dieback and myrtle rust

    Māori worldviews are essential for establishing priorities and allowing the co-production of knowledge in response to threats to taonga rākau (treasured tree) species.

    In the fight against kauri dieback and myrtle rust, Māori have been seeking solutions that call on their knowledge systems and understandings of the physical and meta-physical elements of the universe. This includes solutions embedded in the spiritual dimensions of this knowledge, that are vital to the protection and enhancement of the natural environment. These are often overlooked, or at worst subjugated, by conventional environmental management practices and the science knowledge that underpins its decision-making.

    This is a suite of kaupapa Māori projects that aim to restore the collective health of trees, forests and people. The team will do this by connecting to, and resourcing, Māori communities and their environmental knowledge holders to explore solutions embedded in mātauranga Māori (Māori knowledge).

    These projects are unashamedly indigenous and will collectively show how mātauranga-led research can contribute to contemporary biosecurity issues, while addressing the aspirations of Māori and their communities.

    Theme Co-leads:

    • Melanie Mark-Shadbolt, Te Tira Whakamātaki

    • Valance Smith, Auckland University of Technology

  13. l

    Alignment of ordinal and quantitative species abundance and size indices -...

    • datastore.landcareresearch.co.nz
    Updated Jan 15, 2021
    + more versions
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    (2021). Alignment of ordinal and quantitative species abundance and size indices - Dataset - DataStore [Dataset]. https://datastore.landcareresearch.co.nz/dataset/ordinal-and-quantitative-species-abundance-size
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    Dataset updated
    Jan 15, 2021
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Alignment of ordinal and quantitative species abundance and size indices for the detection of shifting baseline syndrome Data associated with the publication Lyver, P.O'B. Timoti, P., Richardson, S.J. and Gormley, A.M. (2021). Alignment of ordinal and quantitative species abundance and size indices for the detection of shifting baseline syndrome. Ecological Applications. The goals of this study were (i) to determine relationships between ordinal scores (e.g. few, many) and quantitative measures (e.g. estimates of population size) used by members of a Maori community in New Zealand to score indicators for understanding the abundance of forest resources; and (ii) to then analyse these relationships according to people's age to detect the effects of shifting baseline syndrome and the rate that this shift was occurring for each indicator. We detected consistent relationships between the ordinal scores and quantitative measures for six forest indicators provided by community members. However, there was only a high degree of confidence about the direction of the age effect for three abundance indicators [kereru, NZ pigeon, Hemiphaga novaeseelandiae, 15% increase (CI = 5.1 to 27.1%) in flock size for any given ordinal category for each decade increase in age; long-finned eel, Anguilla dieffenbachia, 30% decrease (CI = -45.1 to -11.3%) in the distance (m) walked along a riverbank between observations of an eel for any given ordinal category for each decade increase in age; and Australian brush-tailed possum, Trichosurus vulpecula, 27% decrease (CI = -38.9 to -13.9%) in the distance (m) walked through forest between observations of possum sign for any given ordinal category for each decade increase in age), but the effect was statistically strong for all three. A description of the data fields is linked below. The full dataset may be requested by emailing Phil Lyver.

  14. b

    Customary Approaches to Ecosystem Resilience

    • data.bioheritage.nz
    002, 009, 10244 +9
    Updated Aug 5, 2024
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    Challenge Inventory (2024). Customary Approaches to Ecosystem Resilience [Dataset]. https://data.bioheritage.nz/dataset/customary-approaches-to-ecosystem-resilience
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    009, 1787, aao0780, 906, 10244, 4657, 12230, 1539405, 002, 1308641, 12390, 12318Available download formats
    Dataset updated
    Aug 5, 2024
    Dataset provided by
    Challenge Inventory
    Description

    Tranche1: Project 3.2

    Researchers are investigating how the application of kaitiakitanga (Māori guardianship) approaches contribute to reversing the decline of New Zealand’s biodiversity, and support the relationship of Māori communities with their environments.

    This research responded to a 2011 report by the Waitangi Tribunal, Ko Aotearoa Tēnei – Report into Claims Concerning New Zealand Law and Policy Affecting Māori Culture and Identity. The report found the current regulatory environment excludes Māori from participating in decisions around issues of vital importance to their culture, such as flora, fauna and the wider environment.

    The aim was to develop a framework that provided the basis for informed and inclusive decision-making about environmental conservation.

  15. f

    Risk of stomach cancer in Aotearoa/New Zealand: A Māori population based...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Jun 2, 2023
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    Lis Ellison-Loschmann; Andrew Sporle; Marine Corbin; Soo Cheng; Pauline Harawira; Michelle Gray; Tracey Whaanga; Parry Guilford; Jonathan Koea; Neil Pearce (2023). Risk of stomach cancer in Aotearoa/New Zealand: A Māori population based case-control study [Dataset]. http://doi.org/10.1371/journal.pone.0181581
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lis Ellison-Loschmann; Andrew Sporle; Marine Corbin; Soo Cheng; Pauline Harawira; Michelle Gray; Tracey Whaanga; Parry Guilford; Jonathan Koea; Neil Pearce
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Māori, the indigenous people of New Zealand, experience disproportionate rates of stomach cancer, compared to non-Māori. The overall aim of the study was to better understand the reasons for the considerable excess of stomach cancer in Māori and to identify priorities for prevention. Māori stomach cancer cases from the New Zealand Cancer Registry between 1 February 2009 and 31 October 2013 and Māori controls, randomly selected from the New Zealand electoral roll were matched by 5-year age bands to cases. Logistic regression was used to estimate odd ratios (OR) and 95% confidence intervals (CI) between exposures and stomach cancer risk. Post-stratification weighting of controls was used to account for differential non-response by deprivation category. The study comprised 165 cases and 480 controls. Nearly half (47.9%) of cases were of the diffuse subtype. There were differences in the distribution of risk factors between cases and controls. Of interest were the strong relationships seen with increased stomach risk and having >2 people sharing a bedroom in childhood (OR 3.30, 95%CI 1.95–5.59), testing for H pylori (OR 12.17, 95%CI 6.15–24.08), being an ex-smoker (OR 2.26, 95%CI 1.44–3.54) and exposure to environmental tobacco smoke in adulthood (OR 3.29, 95%CI 1.94–5.59). Some results were attenuated following post-stratification weighting. This is the first national study of stomach cancer in any indigenous population and the first Māori-only population-based study of stomach cancer undertaken in New Zealand. We emphasize caution in interpreting the findings given the possibility of selection bias. Population-level strategies to reduce the incidence of stomach cancer in Māori include expanding measures to screen and treat those infected with H pylori and a continued policy focus on reducing tobacco consumption and uptake.

  16. a

    NZ Constituencies - Archive

    • hub.arcgis.com
    • geoportal-pacificcore.hub.arcgis.com
    Updated Jan 18, 2023
    + more versions
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    Eagle Technology Group Ltd (2023). NZ Constituencies - Archive [Dataset]. https://hub.arcgis.com/maps/5f373fde10f8442f81c4a3ef8a47961e
    Explore at:
    Dataset updated
    Jan 18, 2023
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Topicality: 01-01-2025Projection: New Zealand Transverse Mercator (NZTM)This layer contains the archive of regional council constituency boundaries for 2021 as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian). Constituencies are established under the Local Electoral Act 2001 and result from the division of a region for electoral purposes. If a regional council decides to have a Māori constituency, the constituencies within the council are known as general constituencies and Māori constituencies. Constituencies are divisions of regional council areas. They are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geography. They are created, based on population, to be the voting areas within councils. Constituencies are required to reflect communities of interest. Their boundaries, so far as is practicable, coincide with those of territorial authorities or wards. The boundaries of constituencies may be reviewed before each three-yearly local government election. Regional councils must review their representation arrangements at least once every six years. The provisions for such reviews are in the Local Government Act 2002. Constituencies are numbered based on their corresponding regional council. Each constituency has a unique four-digit code. The first two digits represent the regional council that the constituency lies within. The last two digits are sequential and represent the number of constituencies within a regional council. For example, the West Coast Regional Council (12) contains three constituencies, which are coded 1201, 1202, and 1203.This layer get updated yearly with the latest boundary data. You can use this layer when you need any year of boundary data in your map. By setting a filter on the dataset year you can filter on specific year of the dataset.For information about the fields in this dataset go to the Data tab.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.If you only need the latest boundary data in your map you can use the current version of this dataset. All the current versions of Stats NZ Boundary layers can be found here.The official dataset can be found on https://datafinder.stats.govt.nz.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

  17. a

    NZ Māori Wards - 2023 - Provisional (Mature Support)

    • hub.arcgis.com
    • pacificgeoportal.com
    • +1more
    Updated Jul 25, 2022
    + more versions
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    Eagle Technology Group Ltd (2022). NZ Māori Wards - 2023 - Provisional (Mature Support) [Dataset]. https://hub.arcgis.com/maps/37c265e67f564a18b42166c2571b03fe_0/about
    Explore at:
    Dataset updated
    Jul 25, 2022
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Important Note: This item is in mature support as of January 2024 and will retire in January 2025. When you need the most recent boundary layer please use this item. When you need the boundaries for a specific year, please use this item and set a filter on the required year.Topicality: 23-06-2022Projection: New Zealand Transverse Mercator (NZTM)NB: This layer will be deprecated when the official 2023 boundary layers are released.This dataset is the povisional 2023 dataset for Community Board. The final 2023 layer is scheduled to be published on 8 December 2022 as part of the annual boundary release.The intention of providing this provisional dataset is to make available the boundaries that will be used for the local body elections being held in October 2022.This layer is based on the provisional set of Māori Ward boundaries for 2023 as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian).The Local Electoral Act 2001 provides that Māori wards may be established in territorial authorities. The statutory provisions for establishing Māori wards are set out in sections 19Z to 19ZH of the Local Electoral Act 2001. The first Māori ward was established by representation review in 2019 and appears in the 2023 geographic boundaries released by Stats NZ. The first Māori ward to be created is Wairoa Māori ward (02901) in the Wairoa District. Māori ward boundaries are defined at meshblock level. This layer shows the data for 2023. If you would like to use the layer that gets updated yearly with the latest boundary data, you can use this item.All the boundary layers can be found here.All the boundary layers that are updated yearly can be found here.The official dataset can be found on https://datafinder.stats.govt.nz.This layer contains the following attributes (see data tab):Maori Ward codeMaori Ward nameTotal area in square kilometersTotal land area in square kilometers.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

  18. o

    Data from: You can't go home again: Changes in trophic niche following...

    • ourarchive.otago.ac.nz
    Updated Mar 1, 2025
    + more versions
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    Stephen Wing; Lucy Wing; Amandine Sabadel (2025). Data from: You can't go home again: Changes in trophic niche following extinction and recolonization of the New Zealand sea lion [Dataset]. https://ourarchive.otago.ac.nz/esploro/outputs/dataset/Data-from-You-cant-go-home/9926716976301891
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    Dataset updated
    Mar 1, 2025
    Dataset provided by
    Dryad
    Authors
    Stephen Wing; Lucy Wing; Amandine Sabadel
    Time period covered
    Mar 1, 2025
    Area covered
    New Zealand
    Dataset funded by
    Royal Society Te Apārangi (New Zealand, Wellington)
    Description

    Recolonization or range expansion of large marine predators can be facilitated by reestablishing formally important trophic linkages within intact coastal marine food webs. We analyzed long-term changes in the structure of coastal marine food webs supporting remnant and recolonizing populations of New Zealand sea lions (Phocarctos hookeri), an apex marine predator, using trophic position and a mixture of alternate sources of organic matter as metrics for their resource niche. We measured both d¹³C, d¹⁵N, and d¹⁵NAA of amino acids in the collagen of archived prehistoric bone samples and modern bone, muscle, and fur samples. Using the resulting isotopic values we calculated individual-based estimates of trophic position and basal organic matter source use from pelagic and benthic habitats, phytoplankton versus macroalgae, in the underlying food webs supporting sea lions from the Auckland Islands, Stewart Island, Southland, and Otago among discrete time periods dating to the first human settlements in New Zealand. The data resolved significant changes in the trophic position of New Zealand sea lions since the first arrivals of Māori in New Zealand (ca 1250-1450 CE), the advent of European whaling and sealing (ca 1650 -1850 CE) when sea lions were extirpated from the South Island, and expansion of industrialized fishing (ca 1950 -present CE) indicating a vastly altered resource landscape for recolonizing populations on the South Island. New Zealand is the last major land mass to be settled by people therefore the patterns we observe comprise the complete time course of human influences on the marine ecosystem. These patterns provide a unique understanding of how long-term changes in coastal marine food webs influence the trophic position and population recovery of apex predators.

  19. NZ Primary Parcels

    • data.linz.govt.nz
    csv, dwg, geodatabase +6
    Updated May 22, 2011
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    Land Information New Zealand, NZ Primary Parcels [Dataset]. https://data.linz.govt.nz/layer/50772-nz-primary-parcels/
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    kml, geopackage / sqlite, geodatabase, shapefile, csv, mapinfo mif, pdf, dwg, mapinfo tabAvailable download formats
    Dataset updated
    May 22, 2011
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    New Zealand,
    Description

    This layer provides the current primary parcel polygons and some associated descriptive data that details the appellation (legal description), purpose, size and a list of titles that have an interest in the parcel.

    A primary parcel is a portion of land that is intended to be : • owned by the Crown, except moveable marginal strips • Held in fee simple (predominately private ownership) • Maori freehold land or Maori customary land • Public foreshore and seabed • The bed of a lake or river • Road or Railway • Vested in a local authority

    APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services

    Primary parcels can be thought of as the 'base level' of the 'jigsaw puzzle' of all land making up New Zealand. Other 'levels' are NZ Non-primary parcels that essentially limit the full rights that would normally be associated with a primary parcel for example easements, covenants, leases and moveable marginal strips etc.

    If you require approved or historic parcels see the All Parcels Layer

    This layer has a nominal accuracy of 0.1-1m in urban areas and 1-100m in rural areas. For more detailed information about parcel accuracies please refer to the Survey Boundary Marks layer which contains accuracies for each parcel node.

    The combination of this layer with the non-primary parcels layer provides all current parcels for New Zealand (i.e. excludes Historic and Pending parcels)

    The originating data for parcel/title associations includes some non-official sources where the official data does not support a link. For more information see the LINZ website

  20. a

    NZ Māori Wards - Current

    • geoportal-pacificcore.hub.arcgis.com
    • hub.arcgis.com
    Updated Feb 4, 2021
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    Eagle Technology Group Ltd (2021). NZ Māori Wards - Current [Dataset]. https://geoportal-pacificcore.hub.arcgis.com/items/dc1888b123da42b19f09d96608fc3b0e
    Explore at:
    Dataset updated
    Feb 4, 2021
    Dataset authored and provided by
    Eagle Technology Group Ltd
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand,
    Description

    Topicality: 01-01-2025Projection: New Zealand Transverse Mercator (NZTM)This layer contains the latest set of the Māori Ward boundaries as defined by the regional councils and Local Government Commission but maintained by Stats NZ (the custodian).The Local Electoral Act 2001 provides that Māori wards may be established in territorial authorities. The statutory provisions for establishing Māori wards are set out in sections 19Z to 19ZH of the Local Electoral Act 2001. The first Māori ward was established by representation review in 2019 and appears in the 2021 geographic boundaries released by Stats NZ. The first Māori ward to be created is Wairoa Māori ward (02901) in the Wairoa District. Māori ward boundaries are defined at meshblock level. This layer get updated yearly with the latest boundary data.A layer with the full archive of the data for all the available years is available here.For information about the fields in this dataset go to the Data tab.The layer is further generalised by Eagle Technology for improved performance on the web, therefore it doesn't fully represent the official boundaries.The official dataset can be found on https://datafinder.stats.govt.nz.This layer is offered by Eagle Technology (Official Esri Distributor). Eagle Technology offers services that can be used in the ArcGIS platform. The Content team at Eagle Technology updates the layers on a regular basis and regularly adds new content to the Living Atlas. By using this content and combining it with other data you can create new information products quickly and easily.If you have any questions or comments about the content, please let us now at livingatlas@eagle.co.nz

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Stats NZ (2024). 2023 Census Māori descent population change by statistical area 2 [Dataset]. https://datafinder.stats.govt.nz/layer/119473-2023-census-maori-descent-population-change-by-statistical-area-2/attachments/25368/
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2023 Census Māori descent population change by statistical area 2

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geopackage / sqlite, mapinfo mif, mapinfo tab, csv, geodatabase, pdf, kml, dwg, shapefileAvailable download formats
Dataset updated
Dec 18, 2024
Dataset provided by
Statistics New Zealandhttp://www.stats.govt.nz/
Authors
Stats NZ
License

https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

Area covered
Description

Dataset contains Māori descent indicator census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the Māori descent indicator counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by statistical area 2.

Māori descent indicator categories are:

  • Māori descent
  • No Māori descent
  • Don’t know

Map shows the percentage change in the Māori descent census usually resident population count between the 2018 and 2023 Censuses.

Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

Footnotes

Te Whata

Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.

Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

Māori descent concept quality rating

Māori descent is rated as very high quality.

Māori descent – 2023 Census: Information by concept has more information, for example, definitions and data quality.

Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

Symbol

-998 Not applicable

-999 Confidential

Percentages

To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

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