Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2017.
This dataset is the definitive set of annually released community board/local board boundaries at 1 January 2018, clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and may not fully represent the official full extent boundaries. Community boards are set up under the Local Government Act 2002 and Local Electoral Act 2001.
Local boards also fall within the community board classification. Local boards were introduced as part of the new local government arrangements for Auckland in 2010.
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.
For further information see ANZLIC Metadata 2018 Community Board attachment below.
Layer ID | 92194 |
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Data type | Vector multipolygon | Feature count | 187 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2017.
This dataset is the definitive set of annually released regional council constituency boundaries at 1 January 2018, clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and may not fully represent the official full extent boundaries. 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 region are known as general constituencies and Māori constituencies. Constituencies are divisions of regional council areas. They are defined at meshblock level.
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.
For further information see ANZLIC Metadata 2018 Constituency attachment below.
Layer ID | 92196 |
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Data type | Vector multipolygon | Feature count | 62 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to Stats NZ Geographic Data Service on 03 Dec 2017.
This dataset is the definitive set of the annually released regional council Māori constituency boundaries at 1 January 2018, clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and may not fully represent the official full extent boundaries. Māori constituencies are established under the Local Electoral Act 2001 and result from the division of a region for electoral purposes. Māori constituencies are divisions of regional council areas.
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.
For further information see ANZLIC Metadata 2018 Māori Constituency attachment below.
Layer ID | 92203 |
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Data type | Vector multipolygon | Feature count | 20 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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 |
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Data type | Vector multipolygon | Feature count | 11 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to Stats NZ Geographic Data Service on 10 Feb 2021.
The functional urban area (FUA) classification identifies small urban areas and rural areas that are integrated with larger urban areas to create FUAs.
Workplace address and usual residence address data from the 2018 Census of Population and Dwellings were used to identify satellite urban areas (1,000–4,999 residents), and rural statistical area 1s (SA1s) from which at least 40 percent of workers commuted to urban areas with more than 5,000 residents.
An FUA includes Urban rural (UR) 2018 urban areas, rural settlements and rural SA1s where there is: an urban core, one or more secondary urban cores, one or more satellite urban areas, and rural hinterland (rural settlements or rural SA1s).
The FUA indicator (IFUA) classifies UR2018 urban areas and rural SA1s according to their character within their FUA, e.g. urban core, satellite urban area.
The 53 FUAs are classified by population size. The urban core’s population rather than the entire FUA’s population is used to maintain consistency between the descriptions of UR2018 urban area and FUA type (TFUA).
FUAs that have more than 100,000 residents living in their urban core are known as metropolitan areas, while smaller FUAs are divided into large (core population 30,000–99,999), medium (core population 10,000–29,999), and small regional centres (core population 5,000–9,999).
The Greymouth urban area population is less than 10,000 but is classified as a medium regional centre, consistent with its treatment as a medium urban area in the Urban accessibility (UA) 2018 classification.
Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.
For more detail, and classifications, please refer to Ariā.
Digital boundary data became freely available on 1 July 2007.
Layer ID | 105288 |
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Data type | Vector multipolygon | Feature count | 139 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to Stats NZ Geographic Data Service on 24 May 2020.
The geographic areas file 2018 is a downloadable csv file that classifies meshblocks into larger geographic areas, such as statistical area 2s, territorial authorities, and regional councils. You can use this areas file, also known as a concordance file, to see how the various geographic boundaries link together.
For each meshblock, there is a series of codes that link to any meshblock-defined geographic area. All areas are set as at 1 January of the specified year. Concordance files are available from different years, to enable data for the same area classification to be compared over time.
The areas files can be used in conjunction with the geographic boundary files available on Stats NZ's Geographic Data Service.
Table ID | 104680 |
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Data type | Table |
Row count | 53589 |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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 |
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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 |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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 |
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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 |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to Stats NZ Geographic Data Service on 04 Dec 2018
ANZLIC Metadata 2018 Urban Rural Indicator
Document ID | 21840 |
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File name | anzlic-metadata-2018-urban-rural-indicator.pdf |
Type | |
Size | 391 KB |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This item was first added to Stats NZ Geographic Data Service on 04 Dec 2018
ANZLIC Metadata 2018 Urban Rural Indicator
Document ID | 21841 |
---|---|
File name | anzlic-metadata-2018-urban-rural-indicator.pdf |
Type | |
Size | 391 KB |