Statistical Area 1 Higher Geographies 2018 (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

13104
184
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

Meshblock Higher Geographies 2018 (high definition)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

9819
168
Updated
04 Nov 2018

This dataset was last updated on Stats NZ Geographic Data Service on 04 Nov 2018.

This dataset is a high definition (HD) version of the annually released meshblock boundaries concorded to higher geographies as at 1 January 2018 as defined by Stats NZ. This version contains 53,589 meshblocks. This Meshblock Higher Geographies 2018 file is a correspondence, or concordance, which relates meshblocks to larger geographic areas or 'higher geographies'. This 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. The higher geographies contained in this concordance are: community board (CB2018), constituency (CON2018), Māori constituency (MCON2018), regional council (REGC2018), statistical area 1 (SA12018), statistical area 2 (SA22018), subdivision (TASUB2018), territorial authority (TA2018), urban rural (UR2018), urban rural indicator (IUR2018), and ward (WARD2018). The following geographies were first 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.

Digital boundary data became freely available on 1 July 2007.

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 November 2018. All SA2 codes are unchanged.

For further information on individual higher geographies, refer to their metadata.

Layer ID 92201
Data type Vector multipolygon
Feature count 53589 (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 2 2018 (Centroid True)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

15493
160
Updated
17 May 2018

This dataset was last updated on Stats NZ Geographic Data Service on 17 May 2018.

Statistical Area 2 2018 (Centroid True) is the true centroid point layer for the major released version of the annually released statistical area 2 (SA2) boundaries for 2018. 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 SA2 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.

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 93620
Data type Vector point
Feature count 2237
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 Higher Geographies 2018 Clipped (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

13300
180
Updated
26 Apr 2019

This dataset was last updated on Stats NZ Geographic Data Service on 26 Apr 2019.

This dataset is the definitive version of statistical area 2 (SA2) boundaries concorded to higher geographies as at 1 January 2018 as defined by Stats NZ, clipped to the coastline.
This version contains 2,171 SA2s and has been created for map creation/cartographic purposes and does not fully represent the official full extent boundaries. 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).
Statistical area 2 (SA2) is a new 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.
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 95066
Data type Vector multipolygon
Feature count 2171
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Regional Council Urban Accessibility Indicator 2018

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Creative Commons Attribution 4.0 International

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3117
17
Added
06 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 06 Sep 2021.

RC_IUA 2018 contains urban accessibility classes by regional council geography. The dataset uses geographic boundaries (urban accessibility indicator (IUA), regional council (RC) as at 1 January 2018.

To download census and other data for this classification go to '2018 Census selected variables by Regional Council Urban Accessibility Indicator 2018'.

The urban accessibility (IUA) indicator measures the degree of urban influence New Zealand’s urban areas have on surrounding rural areas. It classifies the geographic accessibility of rural statistical area 1s (SA1s) and small urban areas according to their proximity, or degree of remoteness, to larger urban areas. The full classification is: 111 Major urban area 112 Large urban area 113 Medium urban area 221 High urban accessibility 222 Medium urban accessibility 223 Low urban accessibility 224 Remote 225 Very remote 331 Inland water 332 Inlet 333 Oceanic.

Regional council (RC) boundaries for 2018 are defined by the regional councils and/or Local Government Commission and maintained by Stats NZ. This version contains 16 regional councils. The full classification is: 01 Northland Region 02 Auckland Region 03 Waikato Region 04 Bay of Plenty Region 05 Gisborne Region 06Hawke's Bay Region 07 Taranaki Region 08 Manawatu-Wanganui Region 09 Wellington Region 12 West Coast Region 13 Canterbury Region 14 Otago Region 15 Southland Region 16 Tasman Region 17 Nelson Region 18 Marlborough Region 99 Area Outside Region.

The RC_IUA codes and names combine the RC and IUA codes and names, e.g. 01112 Northland Region_Major urban area.There are 140 classes. Some regional council areas do not contain all IUA classes but each region has at least four IUA classes.

Layer ID 106011
Data type Vector multipolygon
Feature count 140
Primary key RC_IUA2018_V1_00
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Accessibility 2018 (generalised)

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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.

7807
93
Added
27 Sep 2020

This dataset was first added to Stats NZ Geographic Data Service on 27 Sep 2020.

The urban accessibility (UA) classification measures the degree of urban influence New Zealand’s urban areas have on surrounding rural areas. It classifies the geographic accessibility of rural statistical area 1s (SA1s) and small urban areas according to their proximity, or degree of remoteness, to larger urban areas. This classification provides increased understanding of the heterogeneity of rural areas and small urban areas and will allow more extensive analysis and reporting. Understanding the degree of urban accessibility or remoteness is important as it has a major influence on the employment sector, accessibility to services, and population composition and change.
The methodology uses drive time from an SA1 address weighted centroid to the outside boundary of the nearest major, large, and medium urban area (from Stats NZ urban rural (UR) classification) to classify rural SA1s and small urban areas to one of five categories of accessibility or remoteness. The Open Source Routing Machine service using the OpenStreetMap road network is used to calculate the drive times.

A concordance between SA1 and Urban Accessibility can be found on Aria.

Rural SA1s and small urban areas are classified to the following categories:

·High urban accessibility:
0 to15 minutes from major urban areas

·Medium urban accessibility:
15 to 25 minutes from major urban areas
0 to 25 minutes from large urban areas
0 to 15 minutes from medium urban areas

·Low urban accessibility:
25 to 60 minutes from major or large urban areas
15 to 60 minutes from medium urban areas

·Remote:
60 to 120 minutes from major, large or medium urban areas

·Very remote:
more than 120 minutes from major, large or medium urban areas

For more information refer to: Urban accessibility - methodology and classification.

The full classification is shown below:
111 Major urban area

112 Large urban area

113 Medium urban area

221 High urban accessibility

222 Medium urban accessibility

223 Low urban accessibility

224 Remote

225 Very remote

331 Inland water

332 Inlet

333 Oceanic

Note: Areas of 221 High urban accessibility and 222 Medium urban accessibility may be regarded as peri-urban in nature and combined with urban areas for analytical purposes.

Layer ID 105022
Data type Vector multipolygon
Feature count 11
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Meshblock Urban Accessibility Indicator Higher Geographies 2018 (generalised)

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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.

2701
15
Added
06 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 06 Sep 2021.

This dataset is the definitive set of 2018 meshblock boundaries and higher geographies that may be used with the Regional Council Urban Accessibility Indicator 2018 (RC_IUA 2018). The higher geographies in this dataset are statistical area 1 (SA1), urban accessibility indicator (IUA) and regional council (REGC). This version contains 53,589 meshblocks.

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 106010
Data type Vector multipolygon
Feature count 53589 (incl. 16 with empty or null geometries)
Primary key MB2018_V1_00
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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