Statistical Area 1 2020 (generalised)

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Creative Commons Attribution 4.0 International

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26
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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.

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

License

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

Technical Details
Layer ID 104274
Data type Vector multipolygon
Feature count 29895 (incl. 16 with empty or null geometries)
Attributes SA12020_V1_00, LANDWATER, LANDWATER_NAME, LAND_AREA_SQ_KM, AREA_SQ_KM, SHAPE_Length
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
History
Added 29 Nov 2019
Revisions 9 - Browse all revisions
Current revision Imported on Nov. 29, 2019 from Geodatabase in NZGD2000 / New Zealand Transverse Mercator 2000.

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