Annual Boundaries Data - Page 9

This dataset is the definitive set of annually released regional council constituency boundaries for 2022 as defined by the regional councils and/or Local Government Commission and maintained by Stats NZ (the custodian). This version contains 58 constituencies, excluding area outside regional council constituency.

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.

This dataset is the definitive set of annually released regional council constituency boundaries for 2022 as defined by the regional councils and/or Local Government Commission and maintained by Stats NZ (the custodian). 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 58 constituencies, excluding area outside regional council constituency.

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.

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.

The functional urban area (FUA) classification identifies small urban areas and rural areas that are integrated with major, large, and medium 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 information from the Stats NZ classification can be accessed using the classification tool Ariā.

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).

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.

The functional urban area (FUA) classification identifies small urban areas and rural areas that are integrated with major, large, and medium urban areas to create FUAs. This dataset is 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.

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 information from the Stats NZ classification can be accessed using the classification tool Ariā.

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).

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.

The geographic areas file 2013 is a downloadable csv file that classifies meshblocks into larger geographic areas, such as area units, 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.

The geographic areas file 2016 is a downloadable csv file that classifies meshblocks into larger geographic areas, such as area units, 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.

The geographic areas file 2017 is a downloadable csv file that classifies meshblocks into larger geographic areas, such as area units, 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.

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.

This page contains an areas file for 2019 geographic areas.

Area files are text files that classify meshblocks into larger geographic areas, such as statistical area 2s, territorial authorities, and regional councils. You can use the area files, which are also known as concordance files, to map the types of digital boundaries (see Examples of geographic boundary layers) within the geographic hierarchy, 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. For earlier files refer to Geographic area files.