Statistical Area 1 2019 (Centroid Inside)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2239
19
Updated
03 May 2019

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

This dataset is the definitive set of statistical area 1 (SA1) inside centroid point layer for the major released version of the annually released statistical area 1 (SA1) boundaries as at 1 January 2019 as defined by Stats NZ.

The "inside" centroid is a point which always falls inside each SA1 polygon as this is often desirable in some users cases. The placement of the point is typically in the widest part of the polygon. The algorithms used are proprietary to ESRI and are related to label placement.

Note that the "inside" centroid is NOT always the same as the center of gravity ("true" centroid) of the polygon as in some situations the true centroid may fall outside the Meshblock geometry. The dataset contains the EASTING and NORTHING attributes of the centroid point in NZGD2000 New Zealand Transverse Mercator (EPSG:2193) and LATITUDE and LONGITUDE of the centroid point in decimal degrees in WGS1984 (EPSG:4326) projection.

Layer ID 98764
Data type Vector point
Feature count 29879
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 2019 (Centroid True)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2258
14
Added
02 Dec 2018

This dataset was first added to Stats NZ Geographic Data Service on 02 Dec 2018.

This dataset is the definitive set of statistical area 1 (SA1) true centroid point layer for the major released version of the annually released statistical area 1 (SA1) boundaries as at 1 January 2019 as defined by Stats NZ.

The "true" centroid is the centre of mass of that polygon, such that if some flat substance of uniform thickness and density were cut into the shape of that polygon, then that object would balance at the centroid. The centroid is a useful way of summarizing the location of a set of polygons as points, particularly when used for comparative analysis.

Note that the centroid could potentially fall outside the SA1 polygon, depending on the shape of the polygon.The dataset contains the EASTING and NORTHING attributes of the centroid point in NZGD2000 New Zealand Transverse Mercator (EPSG:2193) and LATITUDE and LONGITUDE of the centroid point in decimal degrees in WGS1984 (EPSG:4326) projection. Non-digitised meshblocks cannot have a centroid.

Layer ID 98762
Data type Vector point
Feature count 29879
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 Higher Geographies 2019 (generalised)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

983
13
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

2018 Census usually resident population and age groups by Statistical Area 2

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1240
147
Added
27 Sep 2019

This dataset was first added to Stats NZ Geographic Data Service on 27 Sep 2019.

This dataset contains census usually resident population counts from the 2006, 2013, and 2018 Censuses by statistical area 2. It contains counts by age groups for the 2006, 2013, and 2018 Censuses, and percentage changes between the 2013 and 2018 Censuses.

The life cycle age groups are: under 15 years, 15 to 29 years, 30 to 64 years, and 65 years and over.

These statistical area 2 boundaries extend to the 12 mile limit and are as at 1 January 2018, for further information see Statistical Area 2 2018 (generalised).

This data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data.

For further information see the attachments below: Information about the data (2018 Census population age groups by SA22018), 2018 Census population age groups by SA22018 lookup, 2018 Census population and age groups by SA22018.

Layer ID 103902
Data type Vector multipolygon
Feature count 2253 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Area 2004

Stats NZ / GIS
Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

497
16
Added
24 Jul 2017

This dataset was first added to Stats NZ Geographic Data Service on 24 Jul 2017.

Urban Area 2004 is the definitive set of urban area boundaries for 2004 as defined by Statistics New Zealand.

Layer ID 87719
Data type Vector multipolygon
Feature count 145
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census occupied and unoccupied private dwellings by Statistical Area 2

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

247
46
Added
27 Sep 2019

This dataset was first added to Stats NZ Geographic Data Service on 27 Sep 2019.

This dataset contains occupied and unoccupied private dwelling counts from the 2006, 2013, and 2018 Censuses, with percentage changes between the 2013 Census and 2018 Censuses, by statistical area 2.

These statistical area 2 boundaries extend to the 12 mile limit and are as at 1 January 2018, for further information see Statistical Area 2 2018 (generalised).

This data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules.

Note: The 2018 Census counted fewer dwellings in Marlborough Sounds East, Marlborough Sounds West, and Marlborough Sounds Coastal Marine than existed at census time. If you intend to use dwelling counts at this geography, please contact census.external.relations@stats.govt.nz for more information.

For further information see the attachments below: Information about the data (2018 census private dwellings by SA22018), 2018 census private dwellings by SA22018 lookup, 2018 Census private dwellings by SA22018.

Layer ID 103905
Data type Vector multipolygon
Feature count 2253 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Regional Tourism Organisation 2017 Clipped

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

69
2
Updated
16 Oct 2019

This dataset was last updated on Stats NZ Geographic Data Service on 16 Oct 2019.

Regional tourism organisation boundaries are meshblock based and were created by dissolving groupings of ward and territorial authority areas. This version of regional tourism organisation boundaries is clipped to the coastline and excludes those meshblocks that had a land/water attribute of Inlet or Oceanic. Regional tourism organisations are responsible for the promotion of their regions to potential domestic and international visitors. This version has been developed with input from Regional Tourism New Zealand

Note: Not all 37 categories representing regional tourism organisation areas are currently operating as regional tourism organisations at the time of publishing. Those areas not operating as regional tourism organisations are: Kawerau (06), Rangitikei (14), Tararua (16), Horowhenua (18) and Waimate (28).

Fiordland includes Fiordland National Park, Manapouri, Te Anau, and Te Anau Downs areas with the rest of the area assigned to Southland. Where a regional tourism organisation area boundary crossed a meshblock the meshblock was assigned to whichever regional tourism organisation area the majority of the meshblock fell within. The meshblocks crossed by regional tourism organisation areas boundries are: 3174500 Fiordland 3175100 Fiordland 3173403 Southland 3172802 Southland 3172804 Southland 3172100 Fiordland 4004893 Fiordland 3191600 Fiordland 3191701 Fiordland 3192300 Southland 3192400 Southland 3193400 Fiordland.

The classification relating to this version can be viewed and downloaded from the Stats NZ classifications management system ARIA: Regional Tourism Organisation Areas V3.0.0

Layer ID 103793
Data type Vector multipolygon
Feature count 37
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Rural 2020 Clipped (generalised)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

80
3
Added
29 Nov 2019

This dataset was first added to Stats NZ Geographic Data Service on 29 Nov 2019.

This dataset contains the annually released urban rural boundaries for 2020, 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 668 UR categories.

The urban rural geography was introduced as part he Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the New Zealand Standard Areas Classification (NZSAC92). The urban rural geography replaces the (NZSAC92) urban area geography. Urban rural is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.

Update: Following the 2018 Census ten rural settlements were reclassified as small urban areas in the Urban Rural 2020 classification. These are: Haruru, Ngunguru, Waipu, Parakai, Patumahoe Village, Pauanui, Pirongia, Mapua, Clyde and Lake Hawea.

The urban rural indicator complements the urban rural geography and is an attribute in this dataset. Further information on the urban rural indicator is available on the Stats NZ classification and coding tool ARIA.

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

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 104268
Data type Vector multipolygon
Feature count 668
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 Higher Geographies 2020 (generalised)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

58
0
Added
29 Nov 2019

This dataset was first added to Stats NZ Geographic Data Service on 29 Nov 2019.

This dataset is the definitive version of annually released statistical area 2 (SA2) boundaries concorded to higher geographies for 2020 as defined by Stats NZ. this version contains 2,255 categories.

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: territorial authority (TA) and regional council (REGC). For more information on the individual higher geographies, refer to each geography’s metadata.

SA2s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA2018) which replaced the New Zealand Standard Areas Classification (NZSAC1992). The SA2 geography replaces the (NZSAC1992) area unit 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 104275
Data type Vector multipolygon
Feature count 2255 (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 2020 (generalised)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

26
0
Added
29 Nov 2019

This dataset was first added to Stats NZ Geographic Data Service on 29 Nov 2019.

This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries for 2020 as defined by Stats NZ. This version contains 29,895 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.

Layer ID 104274
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
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