Statistical Area 2 2020 (Centroid Inside)

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

7782
46
Updated
30 Jun 2020

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

This dataset contains the inside centroid point layer for the annually released statistical area 2 (SA2) boundaries as at 1 January 2020.The "inside" centroid is a point which always falls inside each SA2 polygon as this is often desirable. 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 SA2 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 104426
Data type Vector point
Feature count 2239
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Rural 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.

26956
624
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 urban rural boundaries for 2020 as defined by Stats NZ. This version contains 721 urban rural categories.

The urban rural geography was introduced as part of the 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 104269
Data type Vector multipolygon
Feature count 721 (incl. 4 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Rural 2020 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.

4523
125
Updated
30 Jan 2020

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

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 of the 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

Ward 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.

6554
158
Updated
22 Sep 2020

This dataset was last updated on Stats NZ Geographic Data Service on 22 Sep 2020.

This dataset is the definitive set of annually released ward boundaries for 2020 as defined by the territorial authorities and/or Local Government Commission, and maintained by Stats NZ (the custodian). This version contains 239 categories.

Wards were originally set up within any territorial authority with a population of at least 20,000. Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. The ward system was designed to allow for the recognition of communities within a territorial authority and to increase community involvement in the local government system.Territorial authorities can now choose whether they would like to maintain electoral wards. As a result, the number of wards has steadily decreased since they were first created in 1989. Ward boundaries are reviewed in the year before the three-yearly local government elections.

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 104263
Data type Vector multipolygon
Feature count 239
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ward 2020 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.

6811
98
Updated
22 Sep 2020

This dataset was last updated on Stats NZ Geographic Data Service on 22 Sep 2020.

This dataset contains the annually released ward boundaries for 2020 as defined by the territorial authorities and/or Local Government Commission, and maintained 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 239 categories.

Wards were originally set up within any territorial authority with a population of at least 20,000. Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. The ward system was designed to allow for the recognition of communities within a territorial authority and to increase community involvement in the local government system.Territorial authorities can now choose whether they would like to maintain electoral wards. As a result, the number of wards has steadily decreased since they were first created in 1989. Ward boundaries are reviewed in the year before the three-yearly local government elections.

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 104262
Data type Vector multipolygon
Feature count 239
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Constituency 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.

6685
31
Updated
29 Jan 2020

This dataset was last updated on Stats NZ Geographic Data Service on 29 Jan 2020.

This dataset is the definitive set of annually released regional council constituency boundaries for 2020 as defined by the regional councils and/or Local Government Commission and maintained by Stats NZ (the custodian). This version contains 64 categories.

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.

Constituencies 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.

Names are provided with and without tohutō/macrons. The column name for those 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 104247
Data type Vector multipolygon
Feature count 64
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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