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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 geographic areas file 2022 is a text file that classifies meshblocks into larger geographic areas, such as statistical area 2s, territorial authorities, and regional councils. You can use the areas file, also known as a concordance file, to see how the various geographic boundaries are related.

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 file can be used in conjunction with the geographic boundary files available on Stats NZ's Geographic Data Service.

Geographic areas files for earlier years are also available on Stats NZ’s Geographic Data Service.

From 2020 onwards, names are provided with and without tohutō/macrons, as applicable. Where a descriptor column has a macron, the corresponding column name without a macron is suffixed with ‘ascii’.

A prototype square grid framework released for consultation and feedback form the user community. This is one of three resolutions of grid, 1 kilometre, 500 metres and 250 metres, where the resolution is the length of one side of the square grid cell.

The extents of the grid encompasses the NZ 12-mile limit.

A prototype population grid using the 2018 Estimate Resident Population (ERP). Population estimates by SA1s are used as an input to derive population grids. These estimates are not official statistics. They’re derived as a customised dataset used to produce the experimental population grids.

This is one of three resolutions of the national statistical grid, 1 kilometre, 500 metres and 250 metres, where the resolution is the length of one side of the square grid cell.

The Estimated Resident Population (ERP) by Statistical Area 1 (SA1), rounded to the nearest 10, was proportionally divided between private and some nonprivate dwelling point locations from the Stats NZ Statistical Location Register. The dwellings were spatially joined to the ERP SA1 to calculate the number of dwellings within each SA1. The SA1 ERP divided by the number of dwellings gave the number of people per dwelling for each SA1. The people per dwelling was spatially joined back to the dwelling dataset then spatially joined to the grid with the option chosen to sum the dwelling population within each grid cell. Population estimates are based on 2018 census results. The estimated resident population of an area in New Zealand is an estimate of all people who usually live in that area at a given date. It includes all residents present in New Zealand and counted by the census, residents who are temporarily elsewhere in New Zealand and counted by the census, residents who are temporarily overseas (who are not included in the census), and an adjustment for residents missed or counted more than once by the census (net census undercount). Visitors from elsewhere in New Zealand and from overseas are excluded. Population estimates by SA1s are used as an input to derive population grids. These estimates are not official statistics. They’re derived as a customised dataset used to produce the experimental population grids. The population have been rounded to the nearest 10.

A prototype population grid using the 2018 Estimate Resident Population (ERP). Population estimates by SA1s are used as an input to derive population grids. These estimates are not official statistics. They’re derived as a customised dataset used to produce the experimental population grids.

This is one of three resolutions of the national statistical grid, 1 kilometre, 500 metres and 250 metres, where the resolution is the length of one side of the square grid cell.

The Estimated Resident Population (ERP) by Statistical Area 1 (SA1), rounded to the nearest 10, was proportionally divided between private and some nonprivate dwelling point locations from the Stats NZ Statistical Location Register. The dwellings were spatially joined to the ERP SA1 to calculate the number of dwellings within each SA1. The SA1 ERP divided by the number of dwellings gave the number of people per dwelling for each SA1. The people per dwelling was spatially joined back to the dwelling dataset then spatially joined to the grid with the option chosen to sum the dwelling population within each grid cell. Population estimates are based on 2018 census results. The estimated resident population of an area in New Zealand is an estimate of all people who usually live in that area at a given date. It includes all residents present in New Zealand and counted by the census, residents who are temporarily elsewhere in New Zealand and counted by the census, residents who are temporarily overseas (who are not included in the census), and an adjustment for residents missed or counted more than once by the census (net census undercount). Visitors from elsewhere in New Zealand and from overseas are excluded. Population estimates by SA1s are used as an input to derive population grids. These estimates are not official statistics. They’re derived as a customised dataset used to produce the experimental population grids. The population have been rounded to the nearest 10.

A prototype population grid using the 2018 Estimate Resident Population (ERP). Population estimates by SA1s are used as an input to derive population grids. These estimates are not official statistics. They’re derived as a customised dataset used to produce the experimental population grids.

This is one of three resolutions of the national statistical grid, 1 kilometre, 500 metres and 250 metres, where the resolution is the length of one side of the square grid cell.

The Estimated Resident Population (ERP) by Statistical Area 1 (SA1), rounded to the nearest 10, was proportionally divided between private and some nonprivate dwelling point locations from the Stats NZ Statistical Location Register. The dwellings were spatially joined to the ERP SA1 to calculate the number of dwellings within each SA1. The SA1 ERP divided by the number of dwellings gave the number of people per dwelling for each SA1. The people per dwelling was spatially joined back to the dwelling dataset then spatially joined to the grid with the option chosen to sum the dwelling population within each grid cell. Population estimates are based on 2018 census results. The estimated resident population of an area in New Zealand is an estimate of all people who usually live in that area at a given date. It includes all residents present in New Zealand and counted by the census, residents who are temporarily elsewhere in New Zealand and counted by the census, residents who are temporarily overseas (who are not included in the census), and an adjustment for residents missed or counted more than once by the census (net census undercount). Visitors from elsewhere in New Zealand and from overseas are excluded. Population estimates by SA1s are used as an input to derive population grids. These estimates are not official statistics. They’re derived as a customised dataset used to produce the experimental population grids. The population have been rounded to the nearest 10.

A prototype square grid framework released for consultation and feedback form the user community. This is one of three resolutions of grid, 1 kilometre, 500 metres and 250 metres, where the resolution is the length of one side of the square grid cell.

The extents of the grid encompasses the NZ 12-mile limit.

A prototype square grid framework released for consultation and feedback form the user community. This is one of three resolutions of grid, 1 kilometre, 500 metres and 250 metres, where the resolution is the length of one side of the square grid cell.

The extents of the grid encompasses the NZ 12-mile limit.

This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries concorded to higher geographies for 2022 as defined by Stats NZ. This version contains 29,913 SA1s including 16 with empty or null geometries (non-digitised SA1s).

This SA1 higher geographies 2022 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 (REGC2022), statistical area 2 (SA22022), territorial authority (TA2022), urban rural (UR2022), urban rural indicator (IUR2022), and urban accessibility indicator (IUA2022). The following geographies were introduced in 2018: statistical area 1 (SA1), statistical area 2 (SA2), urban rural (UR), and urban rural indicator (IUR) as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the 1992 New Zealand Standard Areas Classification (NZSAC92). The urban accessibility indicator (IUA), which measures the degree of urban influence New Zealand's urban areas have on surrounding rural areas, was first added to this correspondence in 2021.

Higher geography names are provided with and without tohutō/macrons, as applicable. Column names for those without macrons are suffixed ‘ascii’. For further information on individual higher geographies, refer to each geography’s metadata.

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.

Regional tourism organisation boundaries are meshblock based and are created by dissolving groupings of ward and territorial authority areas. This version of regional tourism organisation boundaries is displayed at meshblock level (meshblock 2022) and extends to the 12 mile limit. It is concorded to the annual ward 2022 and territorial authority 2022 geographies. Regional tourism organisations are responsible for the promotion of their regions to prospective domestic and international visitors.

RTO label represents the trading name of the organisation responsible for a region’s tourism marketing and/or economic development.

Note: Not all 37 categories representing regional tourism organisation areas are currently operating as regional tourism organisations at the time of publishing. Those areas not operating as regional tourism organisations are: Kawerau (06), Rangitīkei (14), Tararua (16), Horowhenua (18) and Waimate (28).

Fiordland includes Fiordland National Park, Manapouri, Te Anau, and Te Anau Downs areas with the rest of the area assigned to Southland. Where a regional tourism organisation area boundary crossed a meshblock the meshblock was assigned to whichever regional tourism organisation area the majority of the meshblock fell within.

Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.