Statistical Area 2 Higher Geographies 2023 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1289
5
Added
01 Dec 2022

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2022.

This dataset is the definitive version of the annually released statistical area 2 (SA2) boundaries as at 1 January 2023, defined by Stats NZ and concorded to higher geographies. This version contains 2,395 statistical area 2 areas. (2,379 digitised and 16 with empty or null geometries (non-digitised)).

This dataset is the definitive version of statistical area 2 (SA2) boundaries concorded to higher geographies for 2023 as defined by Stats NZ.This version contains 2,395 SA2s. This statistical area 2 higher geographies file is a correspondence, or concordance, which relates SA2s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: statistical area 3 (SA3), territorial authority (TA) and regional council (REGC).

Statistical area 2 is an output geography that provides higher aggregations of population data than can be provided at the statistical area 1 (SA1) level. The SA2 geography aims to reflect communities that interact together socially and economically. In populated areas, SA2s generally contain similar sized populations.

For further information on individual higher geographies, refer to each geography's metadata or 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

Layer ID 111218
Data type Vector multipolygon
Feature count 2395 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 Higher Geographies 2023 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

97032
19
Added
05 Dec 2022

This dataset was first added to Stats NZ Geographic Data Service on 05 Dec 2022.

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

Layer ID 111237
Data type Vector multipolygon
Feature count 33164 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 Higher Geographies 2020 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4529
77
Updated
30 Jan 2020

This dataset was last updated on Stats NZ Geographic Data Service on 30 Jan 2020.

This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries concorded to higher geographies for 2020 as defined by Stats NZ. This version contains 29,895 SA1s including 16 with empty or null geometries (non-digitised SA1s).

This SA1 higher geographies 2020 file is a correspondence, or concordance, which relates SA1s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: regional council (REGC2020), statistical area 2 (SA22020), territorial authority (TA2020), urban rural (UR2020), and urban rural indicator (IUR2020). The following geographies were introduced in 2018: statistical area 1 (SA1), statistical area 2 (SA2), urban rural (UR), and urban rural indicator (IUR) as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the 1992 New Zealand Standard Areas Classification (NZSAC92).

Higher geography names are provided with and without tohutō/macrons, as applicable. Column names for those without macrons are suffixed ‘ascii’. For further information on individual higher geographies, refer to each geography’s metadata.

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.

Layer ID 104276
Data type Vector multipolygon
Feature count 29895 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 Higher Geographies 2019 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

9318
48
Updated
03 May 2019

This dataset was last updated on Stats NZ Geographic Data Service on 03 May 2019.

This dataset is the definitive version of the annually released statistical area 1 (SA1) boundaries concorded to higher geographies at 1 January 2019.

This statistical area 1 higher geographies 2019 file is a correspondence, or concordance, which relates SA1s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: regional council (REGC2019), statistical area 2 (SA22019), territorial authority (TA2019), urban rural (UR2019), and urban rural indicator (IUR2019).The following geographies were introduced in 2018: statistical area 1 (SA12018), statistical area 2 (SA22019), urban rural (UR2019), and urban rural indicator (IUR2019).

Statistical area 1 (SA1) was created as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaces the 1992 New Zealand Standard Areas Classification (NZSAC92).
The statistical standard for geographic areas is to be used from 2018 (SSGA18). It defines the Stats NZ input and output geographic classifications and describes their primary purposes, and sets out requirements and guidelines for the creation and maintenance of statistical geographies. Statistical area geographies are aggregations of meshblocks optimised to be of similar population sizes to enable the release of low-level data. They are non-administrative areas that are in between meshblocks and territorial authorities in size. Statistical areas either define or aggregate to define urban rural areas, territorial authorities, and regional councils.

Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Layer ID 98777
Data type Vector multipolygon
Feature count 29895 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 Higher Geographies 2018 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

13129
185
Updated
22 May 2018

This dataset was last updated on Stats NZ Geographic Data Service on 22 May 2018.

This dataset is the definitive version of the annually released statistical area 1 (SA1) boundaries concorded to higher geographies at 1 January 2018. This statistical area 1 higher geographies 2018 file is a correspondence, or concordance, which relates SA1s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: regional council (REGC2018), statistical area 2 (SA22018), territorial authority (TA2018), urban rural (UR2018), and urban rural indicator (IUR2018).The following geographies were introduced in 2018: statistical area 1 (SA12018), statistical area 2 (SA22018), urban rural (UR2018), and urban rural indicator (IUR2018). These new geographies are part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaces the 1992 New Zealand Standard Areas Classification (NZSAC92). The statistical standard for geographic areas is to be used from 2018 (SSGA18). It defines the Stats NZ input and output geographic classifications and describes their primary purposes, and sets out requirements and guidelines for the creation and maintenance of statistical geographies. Statistical area geographies are aggregations of meshblocks optimised to be of similar population sizes to enable the release of low-level data. They are non-administrative areas that are in between meshblocks and territorial authorities in size. Statistical areas either define or aggregate to define urban rural areas, territorial authorities, and regional councils.

Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Please note that a review of SA2 names was undertaken in early 2018. The review addressed issues with inconsistent naming and applied corrections, resulting in an update to this dataset applied in May 2018. All SA2 codes are unchanged.

Layer ID 92206
Data type Vector multipolygon
Feature count 29889 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 2023 Clipped (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1394
12
Added
01 Dec 2022

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2022.

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

Layer ID 111209
Data type Vector multipolygon
Feature count 32817
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 2023 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1435
9
Added
01 Dec 2022

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2022.

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.

Generalised version

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

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

Layer ID 111208
Data type Vector multipolygon
Feature count 33164 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 2022 Clipped (generalised)

2598
46
Added
01 Dec 2021

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2021.

This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries for 2022, as defined by Stats NZ (the custodian), clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 29,698 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.

Layer ID 106709
Data type Vector multipolygon
Feature count 29698
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 2022 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3403
108
Added
01 Dec 2021

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2021.

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.

Layer ID 106708
Data type Vector multipolygon
Feature count 29913 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 2021 Clipped (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4250
80
Added
07 Dec 2020

This dataset was first added to Stats NZ Geographic Data Service on 07 Dec 2020.

This dataset contains the annually released statistical area 1 (SA1) boundaries for 2021, as defined by Stats NZ, clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 29,695 SA1 categories.

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 a new 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.

Layer ID 105163
Data type Vector multipolygon
Feature count 29695
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
Results 1 to 10 of 23