2018 Census Household total New Zealand by Statistical Area 1

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4714
383
Updated
21 May 2020

This dataset was last updated on Stats NZ Geographic Data Service on 21 May 2020.

This household dataset is displayed by statistical area 1 geography and contains information on:

• Total households

• Tenure of household

• Sector of landlord

• Weekly rent paid by household, including median weekly rent paid by household

• Number of motor vehicles

• Access to telecommunication systems (total responses)

This dataset contains counts at statistical area 1 for selected variables from the 2018, 2013, and 2006 censuses. The geography corresponds to 2018 boundaries.

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, and values of ‘-997’ indicate data not collected.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for household, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.

Layer ID 104611
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

Statistical Area 1 2022 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1390
51
Added
01 Dec 2021

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2021.

This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries for 2022 as defined by Stats NZ (the custodian). This version contains 29,913 SA1 features.

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 an 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.

Layer ID 106708
Data type Vector multipolygon
Feature count 29913 (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 1 2021 Clipped (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2983
71
Added
07 Dec 2020

This dataset was first added to Stats NZ Geographic Data Service on 07 Dec 2020.

This dataset contains the annually released statistical area 1 (SA1) boundaries for 2021, as defined by Stats NZ, 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. This version contains 29,695 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.

Layer ID 105163
Data type Vector multipolygon
Feature count 29695
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Regional Council 2022 Clipped (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1382
157
Added
30 Nov 2021

This dataset was first added to Stats NZ Geographic Data Service on 30 Nov 2021.

This dataset is the definitive set of the annually released regional council boundaries for 2022 as defined by the regional councils and/or Local Government Commission and maintained by Stats NZ (the custodian), clipped to coastline. This clipped version has been created for map creation/cartographic purposes and so does not fully represent the official full extent boundaries.

The regional council is the top tier of local government in New Zealand. There are 16 regional councils in New Zealand (defined by Part 1 of Schedule 2 of the Local Government Act 2002). Eleven are governed by an elected regional council, while five are governed by territorial authorities (the second tier of local government), who also perform the functions of a regional council and are known as unitary authorities.

These unitary authorities are Auckland Council, Nelson City Council, and Gisborne, Tasman, and Marlborough District Councils. The Chatham Islands Council also performs some of the functions of a regional council but is not strictly a unitary authority. Unitary authorities act as regional councils for legislative purposes.

The seaward boundary of any coastal regional council is the twelve-mile New Zealand territorial limit. Regional councils are defined at meshblock level. Statistical area 1 and statistical area 2 geographies nest within regional council boundaries.

Names are provided with and without tohutō/macrons. The name field 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.

Layer ID 106667
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Functional Urban Area 2018

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

5282
130
Added
10 Feb 2021

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
Data type Vector multipolygon
Feature count 139
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Māori Ward 2023 Provisional

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

62
3
Added
23 Jun 2022

This dataset was first added to Stats NZ Geographic Data Service on 23 Jun 2022.

This dataset is the provisional 2023 dataset for Māori ward. The final 2023 layer is scheduled to be published on 8 December 2022 as part of the annual boundary release.

The intention of providing this provisional dataset is to make available the boundaries that will be used for the local body elections being held in October 2022.

This dataset is the provisional set of Māori ward boundaries for 2023 as defined by the territorial authorities and/or Local Government Commission but maintained by Stats NZ (the custodian). This version contains 34 Māori wards (excluding Area Outside Māori Ward). 33 new Māori wards have been added to the provisional 2023 classification.

The Local Electoral Act 2001 provides that Māori wards may be established in territorial authorities.

Māori wards are numbered based on their corresponding territorial authority. Each Māori ward has a unique five-digit code. The first three digits represent the territorial authority that the Māori ward lies within. The following two digits are sequential and represent the number of Māori wards within a territorial authority.

Māori ward boundaries are defined at meshblock level. In the provisional 2023 classification 29 territorial authorities have Māori wards.

Names are provided with and without tohutō/macrons. Note: Waikato District uses a double vowel instead of a macron (Maaori) and Tararua District does not use a macron (Maori). The name field without macrons is suffixed ‘ascii’.

Layer ID 109167
Data type Vector multipolygon
Feature count 73
Primary key MWARD2023_PROV
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Meshblock Higher Geographies 2022 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1668
30
Added
02 Dec 2021

This dataset was first added to Stats NZ Geographic Data Service on 02 Dec 2021.

This dataset is the definitive set of meshblock boundaries concorded to higher geographies for 2022. This version contains 56,982 meshblocks, including 16 with empty or null geometries (non-digitised meshblocks). This Meshblock Higher Geographies 2022 file is a correspondence, or concordance, which relates meshblocks to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: community board (CB2021), constituency (CON2021), Māori constituency (MCON2021), Māori ward (MWARD2021), regional council (REGC2021), statistical area 1 (SA12021), statistical area 2 (SA22021), territorial authority local board (TALB2021), territorial authority (TA2021), subdivision (TASUB2021), urban accessibility indicator (IUA2021), urban rural (UR2021), urban rural indicator (IUR2021), and ward (WARD2021).

The following geographies were first 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 (UA) classification was introduced in 2020 and functional urban areas (FUAs) in 2021. Both geographies are based on UR2018 urban areas and rural SA1s.

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 the individual geography’s metadata. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

A link to the Geographic Areas Table 2022 can be found here.

Layer ID 106725
Data type Vector multipolygon
Feature count 56982 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ward 2020 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4873
146
Updated
22 Sep 2020

This dataset was last updated on Stats NZ Geographic Data Service on 22 Sep 2020.

This dataset is the definitive set of annually released ward boundaries for 2020 as defined by the territorial authorities and/or Local Government Commission, and maintained by Stats NZ (the custodian). This version contains 239 categories.

Wards were originally set up within any territorial authority with a population of at least 20,000. Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. The ward system was designed to allow for the recognition of communities within a territorial authority and to increase community involvement in the local government system.Territorial authorities can now choose whether they would like to maintain electoral wards. As a result, the number of wards has steadily decreased since they were first created in 1989. Ward boundaries are reviewed in the year before the three-yearly local government elections.

Names are provided with and without tohutō/macrons. The name field 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.

Layer ID 104263
Data type Vector multipolygon
Feature count 239
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Accessibility Indicator 2022 (generalised)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1180
11
Added
01 Dec 2021

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2021.

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.

Urban accessibility indicator is also available as an attribute on Statistical Area 1 Higher Geographies 2022 (generalised).

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

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.

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.

Layer ID 106701
Data type Vector multipolygon
Feature count 11
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Subdivision 2023 Provisional

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

54
3
Added
23 Jun 2022

This dataset was first added to Stats NZ Geographic Data Service on 23 Jun 2022.

This dataset is the provisional 2023 dataset for Subdivision. The final 2023 layer is scheduled to be published on 8 December 2022 as part of the annual boundary release.

The intention of providing this provisional dataset is to make available the boundaries that will be used for the local body elections being held in October 2022.

This dataset is the provisional set of subdivision boundaries for 2023 as defined by the territorial authorities and Local Government Commission but maintained by Stats NZ (the custodian). This version contains 81 subdivisions (excluding Area Outside Subdivision).

Subdivisions are set up under the Local Government Act 2002 and Local Electoral Act 2001. A subdivision is a division of a community or local board area for electoral purposes.

Subdivisions are defined at meshblock level, and do not coincide with the statistical area 1 (SA1) geography or the statistical area 2 (SA2) geography. A number of territorial authorities do not have subdivisions, and if they do, the subdivisions do not necessarily cover the whole territorial authority area. Subdivisions nest within community or local boards. Where a community or local board is divided into subdivisions all of the community or local board area must be included in a subdivision.

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

Layer ID 109168
Data type Vector multipolygon
Feature count 147
Primary key TASUB2023_PROV
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
Results 21 to 30 of 122