100+ datasets found
  1. Statistical Area 1 2022 (generalised)

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 8, 2019
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    Stats NZ (2019). Statistical Area 1 2022 (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/106708-statistical-area-1-2022-generalised/
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    mapinfo tab, geodatabase, mapinfo mif, pdf, shapefile, dwg, kml, csv, geopackage / sqliteAvailable download formats
    Dataset updated
    Dec 8, 2019
    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

    This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries for 2022 as defined by Stats NZ (the custodian). This version contains 29,913 SA1 features.

    SA1s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the New Zealand Standard Areas Classification (NZSAC92). SA1 is an output geography that allows the release of more detailed information about population characteristics than is available at the meshblock level.

    Built by joining meshblocks, SA1s have an ideal size range of 100–200 residents, and a maximum population of about 500. This is to minimise suppression of population data in multivariate statistics tables. SA1s either define or aggregate to define SA2s, urban rural areas, territorial authorities, and regional councils. Some SA1s that contain apartment blocks, retirement villages, and large non-residential facilities have more than 500 residents.

    This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

    Digital boundary data became freely available on 1 July 2007.

    The SA1 classification can also be downloaded from the Stats NZ classification and concordance tool Ariā.

  2. Statistical Area 1 2023 Clipped (generalised)

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 1, 2022
    + more versions
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    Stats NZ (2022). Statistical Area 1 2023 Clipped (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/111209-statistical-area-1-2023-clipped-generalised/
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    mapinfo mif, dwg, shapefile, geodatabase, pdf, mapinfo tab, geopackage / sqlite, kml, csvAvailable download formats
    Dataset updated
    Dec 1, 2022
    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

    Statistical Area 1 2023 update

    SA1 2023 is the first major update of the geography since it was first created in 2018. The update is to ensure SA1s are relevant and meet criteria before each five-yearly population and dwelling census. SA1 2023 contains 3,251 new SA1s. Updates were made to reflect real world changes including new subdivisions and motorways, improve the delineation of urban rural and other statistical areas and to ensure they meet population criteria by reducing the number of SA1s with small or large populations.

    Description

    This dataset is the definitive version of the annually released statistical area 1 (SA1) boundaries as at 1 January 2023, as defined by Stats NZ. This version contains 33,164 SA1s (33,148 digitised and 16 with empty or null geometries (non-digitised).

    SA1 is an output geography that allows the release of more low-level data than is available at the meshblock level. Built by joining meshblocks, SA1s have an ideal size range of 100–200 residents, and a maximum population of about 500. This is to minimise suppression of population data in multivariate statistics tables.

    The SA1 should:

    form a contiguous cluster of one or more meshblocks,

    be either urban, rural, or water in character,

    be small enough to:

    • allow flexibility for aggregation to other statistical geographies,
    • allow users to aggregate areas into their own defined communities of interest,

    form a nested hierarchy with statistical output geographies and administrative boundaries. It must:

    • be built from meshblocks,
    • either define or aggregate to define SA2s, urban rural areas, territorial authorities, and regional councils.

    SA1s generally have a population of 100–200 residents, with some exceptions:

    • SA1s with nil or nominal resident populations are created to represent remote mainland areas, unpopulated islands, inland water, inlets, or oceanic areas.
    • Some SA1s in remote rural areas and urban industrial or business areas have fewer than 100 residents.
    • Some SA1s that contain apartment blocks, retirement villages, and large non-residential facilities (prisons, boarding schools, etc) have more than 500 residents.

    SA1 numbering

    SA1s are not named. SA1 codes have seven digits starting with a 7 and are numbered approximately north to south. Non-digitised codes start with 79.

    As new SA1s are created, they are given the next available numeric code. If the composition of an SA1 changes through splitting or amalgamating different meshblocks, the SA1 is given a new code. The previous code no longer exists within that version and future versions of the SA1 classification.

    Digitised and non-digitised SA1s

    The digital geographic boundaries are defined and maintained by Stats NZ.

    Aggregated from meshblocks, SA1s cover the land area of New Zealand, the water area to the 12-mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, off-shore oil rigs, and Ross Dependency. The following 16 SA1s are held in non-digitised form.

    7999901; New Zealand Economic Zone, 7999902; Oceanic Kermadec Islands,7999903; Kermadec Islands, 7999904; Oceanic Oil Rig Taranaki,7999905; Oceanic Campbell Island, 7999906; Campbell Island, 7999907; Oceanic Oil Rig Southland, 7999908; Oceanic Auckland Islands, 7999909; Auckland Islands, 7999910; Oceanic Bounty Islands, 7999911; Bounty Islands, 7999912; Oceanic Snares Islands, 7999913; Snares Islands, 7999914; Oceanic Antipodes Islands, 7999915; Antipodes Islands, 7999916; Ross Dependency.

    For more information please refer to the Statistical standard for geographic areas 2023.

    Clipped version

    This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries.

    Digital data

    Digital boundary data became freely available on 1 July 2007.

    To download geographic classifications in table formats such as CSV please use Ariā

  3. a

    ABS - ASGS - Statistical Area Level 1 (SA1) 2016 - Dataset - AURIN

    • data.aurin.org.au
    Updated Mar 5, 2025
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    (2025). ABS - ASGS - Statistical Area Level 1 (SA1) 2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-abs-sa1-2016-aust-na
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    Dataset updated
    Mar 5, 2025
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    This dataset is the Statistical Area Level 1 (SA1) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016. For the original data and more information, refer to the Australian Bureau of Statistics' Issue. The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data. The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

  4. Statistical Area 1 Higher Geographies 2023 (generalised)

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 7, 2022
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    Stats NZ (2022). Statistical Area 1 Higher Geographies 2023 (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/111237-statistical-area-1-higher-geographies-2023-generalised/
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    dwg, csv, geodatabase, geopackage / sqlite, mapinfo mif, pdf, kml, shapefile, mapinfo tabAvailable download formats
    Dataset updated
    Dec 7, 2022
    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

    This dataset is the definitive set of statistical area 1 (SA1) boundaries concorded to higher geographies for 2023. This version contains 33,164 SA1s, including 16 with empty or null geometries (non-digitised SA1s).

    SA1 is an output geography that allows the release of more detailed information about population characteristics than is available at the meshblock level.

    Built by joining meshblocks, SA1s have an ideal size range of 100–200 residents, and a maximum population of about 500. This is to minimise suppression of population data in multivariate statistics tables.

    This SA1 higher geographies 2023 file is a correspondence, or concordance, which relates SA1s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: statistical area 2 (SA22023), statistical area 3 (SA32023), urban rural (UR2023), and urban rural indicator (IUR2023), urban accessibility indicator (IUA), functional urban area (FUA), indicator functional urban area (IFUA) and functional urban area type (TFUA), territorial authority (TA2023), and regional council (REGC2023). The geography urban accessibility indicator (IUA), was first published in 2020 and added to this concordance in 2022.

    For more information please refer to the Statistical standard for geographic areas 2023.

    Generalised version

    This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

    Macrons

    Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

    Digital data

    Digital boundary data became freely available on 1 July 2007.

    To download geographic classifications in table formats such as CSV please use Ariā

  5. SA1 (2021) – ASGS Ed. 3

    • digital.atlas.gov.au
    Updated Nov 5, 2024
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    Australian Bureau of Statistics (2024). SA1 (2021) – ASGS Ed. 3 [Dataset]. https://digital.atlas.gov.au/maps/d749425c83bc4eba8e2411438f16d8cf
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    Dataset updated
    Nov 5, 2024
    Dataset authored and provided by
    Australian Bureau of Statisticshttp://abs.gov.au/
    License

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

    Area covered
    Description

    Statistical Area Level 1 (SA1s) are geographic areas built from whole Mesh Blocks. Most SA1s have a population of between 200 to 800 people. Whole SA1s aggregate to form Statistical Areas Level 2 (SA2s). SA1s are designed to maximise the geographic detail available for Census of Population and Housing data. However, limited Census of Population and Housing data may also be available at the Mesh Block level for ASGS Edition 3. SA1s are also used as the building blocks for some ASGS geographies, including the Indigenous Structure, Significant Urban Areas, Urban Centres and Localities, Section of State Structure, and the Remoteness Structure.Data and geography referencesSource data publication: Australian Statistical Geography Standard (ASGS) Edition 3Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 - Statistical Area Level 1Further information: Australian Statistical Geography Standard (ASGS) Edition 3 - Main Structure and Greater Capital City Statistical AreasSource: Australian Bureau of Statistics (ABS)Made possible by the Digital Atlas of AustraliaThe Digital Atlas of Australia is a key Australian Government initiative being led by Geoscience Australia, highlighted in the Data and Digital Government Strategy. It brings together trusted datasets from across government in an interactive, secure, and easy-to-use geospatial platform. The Australian Bureau of Statistics (ABS) is working in partnership with Geoscience Australia to establish a set of web services to make ABS data available in the Digital Atlas of Australia.Contact the Australian Bureau of StatisticsEmail geography@abs.gov.au if you have any questions or feedback about this web service.Subscribe to get updates on ABS web services and geospatial products.Privacy at the Australian Bureau of StatisticsRead how the ABS manages personal information - ABS privacy policy.

  6. a

    SA1-G32 Dwelling Structure-Census 2016 - Dataset - AURIN

    • data.aurin.org.au
    Updated Mar 5, 2025
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    (2025). SA1-G32 Dwelling Structure-Census 2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-abs-census-sa1-g32-dwelling-structure-census-2016-sa1-2016
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    Dataset updated
    Mar 5, 2025
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    SA1 based data for Dwelling Structure, in General Community Profile (GCP), 2016 Census. Count of Private dwellings and Persons in occupied private dwellings. Count of all persons enumerated in the dwelling on Census Night, including visitors from within Australia. Excludes usual residents who were temporarily absent on Census Night. Excludes 'Visitors only' and 'Other non-classifiable' households. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

  7. a

    SA1-G02 Selected Medians and Averages-Census 2016 - Dataset - AURIN

    • data.aurin.org.au
    Updated Mar 5, 2025
    + more versions
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    (2025). SA1-G02 Selected Medians and Averages-Census 2016 - Dataset - AURIN [Dataset]. https://data.aurin.org.au/dataset/au-govt-abs-census-sa1-g02-selected-medians-and-averages-census-2016-sa1-2016
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    Dataset updated
    Mar 5, 2025
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    SA1 based data for Selected Medians and Averages, in General Community Profile (GCP), 2016 Census. The median or average was calculated in the following categories: a person’s age, a person’s income, a family’s income, total household income, mortgage repayment, rental payments, number of persons per bedroom and household size. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. For more information visit the data source: http://www.abs.gov.au/census.

  8. Australian Bureau of Statistics 2021 Statistical Area Level 1

    • koordinates.com
    csv, dwg, geodatabase +6
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    Australian Bureau of Statistics, Australian Bureau of Statistics 2021 Statistical Area Level 1 [Dataset]. https://koordinates.com/layer/114005-australian-bureau-of-statistics-2021-statistical-area-level-1/
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    mapinfo tab, mapinfo mif, kml, geopackage / sqlite, dwg, geodatabase, csv, shapefile, pdfAvailable download formats
    Dataset authored and provided by
    Australian Bureau of Statisticshttp://abs.gov.au/
    License

    https://koordinates.com/license/attribution-4-0-international/https://koordinates.com/license/attribution-4-0-international/

    Area covered
    Description

    Statistical Area Level 1 (SA1)

    Statistical Areas Level 1 (SA1s) are designed to maximise the geographic detail available for Census of Population and Housing data while maintaining confidentiality.

    SA1s are built from whole Mesh Blocks and have a population between 200 and 800 people. In remote and regional areas they generally have smaller populations than those in urban areas. SA1s are designed to represent Aboriginal and Torres Strait Islander communities as accurately as possible, particularly in remote areas.

    Using SA1s with Census data

    Use SA1s to see how Census characteristics vary at a neighbourhood scale within larger areas such as Suburbs or Local Government Areas.

    Australian Bureau of Statistics (Jul2021-Jun2026), Data services and APIs, ABS Website, accessed 25 July 2023.

    https://www.abs.gov.au/website-privacy-copyright-and-disclaimer#copyright-and-creative-commons

  9. r

    SA1 Aggregated Population & Dwelling Counts 2016 Census for Australia

    • researchdata.edu.au
    null
    Updated Jun 28, 2023
    + more versions
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    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2023). SA1 Aggregated Population & Dwelling Counts 2016 Census for Australia [Dataset]. https://researchdata.edu.au/sa1-aggregated-population-census-australia/2747922
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    nullAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Australian Urban Research Infrastructure Network (AURIN)
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

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

    Area covered
    Description

    This dataset contains counts of the total usual resident population and total dwelling count from the 2016 Census of Population and Housing for Mesh Blocks, aggregated to Statistical Area Level 1 (SA1) for the AURIN Portal. Data is current for Census Night 9 August 2016 and describes geographic Australia; including Norfolk Island, the Territory of Christmas Island and the Territory of Cocos (Keeling) Islands, but does not include any other external Territory. For more information, refer to the Australian Bureau of Statistics' Census of Population and Housing: Mesh Block Counts, Australia, 2016.

  10. r

    Estimated resident population by statistical area level 1 (SA1), Australia

    • researchdata.edu.au
    • data.qld.gov.au
    Updated Sep 4, 2018
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    data.qld.gov.au (2018). Estimated resident population by statistical area level 1 (SA1), Australia [Dataset]. https://researchdata.edu.au/estimated-resident-population-sa1-australia/1343673
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    Dataset updated
    Sep 4, 2018
    Dataset provided by
    data.qld.gov.au
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Australia
    Description

    Estimated resident population by statistical area level 1 (SA1), Australia

  11. g

    ABS - ASGS - Statistical Area Level 1 (SA1) 2011 | gimi9.com

    • gimi9.com
    Updated Jul 31, 2025
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    (2025). ABS - ASGS - Statistical Area Level 1 (SA1) 2011 | gimi9.com [Dataset]. https://gimi9.com/dataset/au_au-govt-abs-sa1-2011-aust-na/
    Explore at:
    Dataset updated
    Jul 31, 2025
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    This dataset is the Statistical Area Level 1 (SA1) boundaries as defined by the Australian Statistical Geography Standard (ASGS): Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2011. For the original data and more information, refer to the Australian Bureau of Statistics' Issue. The ABS encourages the use of the ASGS by other organisations to improve the comparability and usefulness of statistics generally, and in analysis and visualisation of statistical and other data. The Australian Statistical Geography Standard (ASGS) brings together in one framework all of the regions which the ABS and many others organisations use to collect, release and analyse geographically classified statistics. The ASGS ensures that these statistics are comparable and geospatially integrated and provides users with an coherent set of standard regions so that they can access, visualise, analyse and understand statistics.

  12. Statistical Area 1 2025

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 2, 2024
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    Stats NZ (2024). Statistical Area 1 2025 [Dataset]. https://datafinder.stats.govt.nz/layer/120971-statistical-area-1-2025/
    Explore at:
    mapinfo mif, geopackage / sqlite, dwg, pdf, mapinfo tab, kml, geodatabase, csv, shapefileAvailable download formats
    Dataset updated
    Dec 2, 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

    Refer to the 'Current Geographic Boundaries Table' layer for a list of all current geographies and recent updates.

    This dataset is the definitive version of the annually released statistical area 1 (SA1) boundaries as at 1 January 2025, as defined by Stats NZ. This version contains 33,164 SA1s (33,148 digitised and 16 with empty or null geometries (non-digitised)).

    SA1 is an output geography that allows the release of more low-level data than is available at the meshblock level. Built by joining meshblocks, SA1s have an ideal size range of 100–200 residents, and a maximum population of about 500. This is to minimise suppression of population data in multivariate statistics tables.

    The SA1 should:

    form a contiguous cluster of one or more meshblocks,

    be either urban, rural, or water in character,

    be small enough to:

    • allow flexibility for aggregation to other statistical geographies,
    • allow users to aggregate areas into their own defined communities of interest,

    form a nested hierarchy with statistical output geographies and administrative boundaries. It must:

    • be built from meshblocks,
    • either define or aggregate to define SA2s, urban rural areas, territorial authorities, and regional councils.

    SA1s generally have a population of 100–200 residents, with some exceptions:

    • SA1s with nil or nominal resident populations are created to represent remote mainland areas, unpopulated islands, inland water, inlets, or oceanic areas.
    • Some SA1s in remote rural areas and urban industrial or business areas have fewer than 100 residents.
    • Some SA1s that contain apartment blocks, retirement villages, and large non-residential facilities (prisons, boarding schools, etc.) have more than 500 residents.

    SA1 numbering

    SA1s are not named. SA1 codes have seven digits starting with a 7 and are numbered approximately north to south. Non-digitised codes start with 79.

    As new SA1s are created, they are given the next available numeric code. If the composition of an SA1 changes through splitting or amalgamating different meshblocks, the SA1 is given a new code. The previous code no longer exists within that version and future versions of the SA1 classification.

    Digitised and non-digitised SA1s

    The digital geographic boundaries are defined and maintained by Stats NZ.

    Aggregated from meshblocks, SA1s cover the land area of New Zealand, the water area to the 12-mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, off-shore oil rigs, and Ross Dependency. The following 16 SA1s are held in non-digitised form.

    7999901; New Zealand Economic Zone, 7999902; Oceanic Kermadec Islands,7999903; Kermadec Islands, 7999904; Oceanic Oil Rig Taranaki,7999905; Oceanic Campbell Island, 7999906; Campbell Island, 7999907; Oceanic Oil Rig Southland, 7999908; Oceanic Auckland Islands, 7999909; Auckland Islands, 7999910; Oceanic Bounty Islands, 7999911; Bounty Islands, 7999912; Oceanic Snares Islands, 7999913; Snares Islands, 7999914; Oceanic Antipodes Islands, 7999915; Antipodes Islands, 7999916; Ross Dependency.

    High-definition version

    This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.

    Macrons

    Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

    Digital data

    Digital boundary data became freely available on 1 July 2007.

    Further information

    To download geographic classifications in table formats such as CSV please use Ariā

    For more information please refer to the Statistical standard for geographic areas 2023.

    Contact: geography@stats.govt.nz

  13. g

    Geoscience Australia - NEXIS - Commercial Building Exposure (SA1) 2016

    • gimi9.com
    Updated Jul 31, 2025
    + more versions
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    (2025). Geoscience Australia - NEXIS - Commercial Building Exposure (SA1) 2016 [Dataset]. https://gimi9.com/dataset/au_au-govt-ga-nexis-commercial-building-exposure-sa1-2016-sa1/
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    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Australia
    Description

    This dataset presents information about commercial building exposure in Australia from the 7th version of the National Exposure Information System (NEXIS), a modelling capability designed by Geoscience Australian (GA) to provide comprehensive and nationally consistent exposure information. This enabled users to better understand the potential elements at risk in Australia. This data is aggregated by the Australian Bureau of Statistics (ABS) Statistical Area 1 (SA1) 2011 boundaries. For more information please visit the Geoscience Australia Product catalogue or the Nexis Building Exposure Metadata Document. AURIN has spatially enabled the original data with the ABS Australian Statistical Geography Standard (ASGS) SA1 2011 dataset.

  14. e

    NZ Census and Deprivation Index 2023 (SA1)

    • gisinschools.eagle.co.nz
    Updated Dec 16, 2024
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    Eagle Technology Group Ltd (2024). NZ Census and Deprivation Index 2023 (SA1) [Dataset]. https://gisinschools.eagle.co.nz/maps/eaglegis::nz-census-and-deprivation-index-2023-sa1
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    Dataset updated
    Dec 16, 2024
    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: 2023Projection: New Zealand Transverse Mercator (NZTM)This dataset includes counts and measures for individuals, dwellings, households, families, and extended families from the 2023 Census. Data is available at the Statistical Area 1 (SA1) level, with additional higher geographies for 2023, including:Statistical Area 2 (SA2)Statistical Area 3 (SA3)Urban/Rural areasTerritorial AuthoritiesRegional CouncilsThe data is sourced from the 2023 Census data published by Statistics New Zealand (StatsNZ) and Index of Multiple Deprivation by the Ministry of Health/University of Otago.Lookup Tables:Download lookup file for 'Individual part 1' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Individual part 2' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Dwellings' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service. Download lookup file for 'Households' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.Download lookup file for 'Family' topic from Stats NZ ArcGIS Online or Stats NZ geographic data service.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.NotesDeprivation IndexThe NZDep Index measures relative socioeconomic deprivation for geographic areas, not individuals. The specific indicators and boundaries used to calculate NZDep can change between Censuses. As a result, some deprivation index values may appear as null.Data Values-997 and -999 values from the Stats NZ dataset, previously used to represent unavailable or confidential data, have been replaced with 0 to improve compatibility with Smart Mapping and Policy Mapping workflows. Users should note that while this change supports data processing, 0 may represent either valid data or a placeholder for unavailable or confidential values, depending on the context.

  15. SA1-G27 Family Blending-Census 2016

    • data.gov.au
    html
    Updated Jul 31, 2025
    + more versions
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    Government of the Commonwealth of Australia - Australian Bureau of Statistics (2025). SA1-G27 Family Blending-Census 2016 [Dataset]. https://data.gov.au/data/dataset/au-govt-abs-census-sa1-g27-family-blending-census-2016-sa1-2016
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset provided by
    Australian Bureau of Statisticshttp://abs.gov.au/
    Authors
    Government of the Commonwealth of Australia - Australian Bureau of Statistics
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    SA1 based data for Family Blending, in General Community Profile (GCP), 2016 Census. Count of couple families with children. Classifies couple families based on the parent-child relationships within them. Temporarily absent children are taken into consideration when classifying families. Excludes 'Couple families with no children', 'One parent families' and 'Other families'. Excludes families in: 'Non-family/Non-classifiable households', 'Non-private dwellings' and 'Migratory, off-shore and shipping' SA1s. Excludes overseas visitors. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

  16. a

    SA1-P42b Industry of Employment by Occupation-Census 2016

    • data.aurin.org.au
    • researchdata.edu.au
    • +1more
    Updated Mar 5, 2025
    + more versions
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    (2025). SA1-P42b Industry of Employment by Occupation-Census 2016 [Dataset]. https://data.aurin.org.au/dataset/au-govt-abs-census-sa1-p42b-industry-of-employment-by-occupation-census-2016-sa1-2016
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    Dataset updated
    Mar 5, 2025
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    SA1 based data for Industry of Employment by Occupation, in Place of Enumeration Profile (PEP), 2016 Census. Count of employed persons aged 15 years and over (excludes overseas visitors). P42 is broken up into two sections (P42a - P42b), this section contains 'Total Occupation Managers' - 'Total Total'. The data is by SA1 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

  17. National Exposure Information System (NEXIS) Building Exposure - Statistical...

    • data.gov.au
    html, pdf, xlsx
    Updated Dec 14, 2017
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    Geoscience Australia (2017). National Exposure Information System (NEXIS) Building Exposure - Statistical Area Level 1 (SA1) [Dataset]. https://data.gov.au/dataset/ds-ga-032483fa-1b7d-11bf-e054-00144fdd4fa6
    Explore at:
    pdf, xlsx, htmlAvailable download formats
    Dataset updated
    Dec 14, 2017
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

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

    Description

    NEXIS is a unique modelling capability designed to compile best publicly available information, statistics, spatial and survey data to create comprehensive and nationally consistent exposure …Show full descriptionNEXIS is a unique modelling capability designed to compile best publicly available information, statistics, spatial and survey data to create comprehensive and nationally consistent exposure information. NEXIS provides aggregated exposure information for residential, commercial and industrial buildings, and agricultural commodities in Australia. This product is a ABS Statistical Area Level 1 (SA1) aggregated version of NEXIS Building Exposure version 11, 2020. Previous versions may be available on request.

  18. c

    Usual Residents Population Density (SA1) ABS 2021

    • data.casey.vic.gov.au
    csv, excel, geojson +1
    Updated Aug 28, 2024
    + more versions
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    (2024). Usual Residents Population Density (SA1) ABS 2021 [Dataset]. https://data.casey.vic.gov.au/explore/dataset/cen21_coc_sa1_usualresidentspopdensity/
    Explore at:
    geojson, excel, json, csvAvailable download formats
    Dataset updated
    Aug 28, 2024
    Description
  19. Northern Territory SA1 Boundaries vs Elector Numbers - Dataset - NTG Open...

    • data.nt.gov.au
    Updated Mar 29, 2019
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    nt.gov.au (2019). Northern Territory SA1 Boundaries vs Elector Numbers - Dataset - NTG Open Data Portal [Dataset]. https://data.nt.gov.au/dataset/northern-territory-sa1-boundaries-vs-elector-numbers
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Northern Territory Governmenthttp://nt.gov.au/
    License

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

    Area covered
    Northern Territory
    Description

    Northern Territory (NT) elector numbers as at 15 February 2019 against Australian Statistical Geography Standard (ASGS) Statistical Area 1 (SA1) indexes and NT Legislative Assembly (LA) division names. In the instance where an SA1 is divided between two or more LA divisions, the SA1 index will appear on multiple rows in the file. An individual row in the file will represent elector numbers for a whole or partial SA1 as it relates to any given LA division boundary. Members of the Legislative Assembly that reside outside their electoral division are represented at the beginning of the file against factitious SA1 IDs. Specifically '7019999', 7029999'.

  20. g

    NTEC - Projected Enrolled Population (SA1) 2020 | gimi9.com

    • gimi9.com
    Updated Jul 31, 2025
    + more versions
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    (2025). NTEC - Projected Enrolled Population (SA1) 2020 | gimi9.com [Dataset]. https://gimi9.com/dataset/au_ntec-ntec-projected-enrolled-pop-sa1-2020-sa1-2016/
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    Dataset updated
    Jul 31, 2025
    License

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

    Description

    This dataset presents the projected enrolled population at 22 August 2020 for the Northern Territory (NT) by Legislative Assembly (LA) division areas and 2016 Australian Statistical Geography Standards (ASGS) Statistical Area Level 1 (SA1). Projected elector numbers are prepared by the Australian Bureau of Statistics (ABS) according to assumptions reflecting prevailing trends agreed to by the Northern Territory Electoral Commission. This projection is indicative of future population trends and is not official ABS population statistics. In the instance where an SA1 is divided between two or more LA divisions, the SA1 index will appear on multiple rows in the file. An individual row in the file will represent elector numbers for a whole or partial SA1 as it relates to any given LA division boundary. For more information please visit the Northern Territory Government Open Data Portal and read the ABS Projection Assumptions Document. Please note: Members of the Legislative Assembly that reside outside their electoral division are not represented in this dataset.

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Stats NZ (2019). Statistical Area 1 2022 (generalised) [Dataset]. https://datafinder.stats.govt.nz/layer/106708-statistical-area-1-2022-generalised/
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Statistical Area 1 2022 (generalised)

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mapinfo tab, geodatabase, mapinfo mif, pdf, shapefile, dwg, kml, csv, geopackage / sqliteAvailable download formats
Dataset updated
Dec 8, 2019
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

This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries for 2022 as defined by Stats NZ (the custodian). This version contains 29,913 SA1 features.

SA1s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the New Zealand Standard Areas Classification (NZSAC92). SA1 is an output geography that allows the release of more detailed information about population characteristics than is available at the meshblock level.

Built by joining meshblocks, SA1s have an ideal size range of 100–200 residents, and a maximum population of about 500. This is to minimise suppression of population data in multivariate statistics tables. SA1s either define or aggregate to define SA2s, urban rural areas, territorial authorities, and regional councils. Some SA1s that contain apartment blocks, retirement villages, and large non-residential facilities have more than 500 residents.

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Digital boundary data became freely available on 1 July 2007.

The SA1 classification can also be downloaded from the Stats NZ classification and concordance tool Ariā.

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