Urban Accessibility 2018 (generalised)

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Creative Commons Attribution 4.0 International

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2696
64
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 2021 Clipped (generalised)

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Creative Commons Attribution 4.0 International

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2489
97
Added
09 Dec 2020

This dataset was first added to Stats NZ Geographic Data Service on 09 Dec 2020.

This dataset is the definitive set of annually released meshblock boundaries for 2021 as defined by Stats NZ. This version contains 53,598 meshblocks, 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.

Stats NZ maintains an annual meshblock geography for collecting and producing statistical data. This allows data to be compared over time. A meshblock is the smallest geographic unit for which statistical data is collected and processed by Stats NZ. A meshblock is defined by a geographic area, which can vary in size from part of a city block to a large area of rural land. Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone. Meshblocks are added together to build up larger geographic areas such as statistical area 1 (SA1), statistical area 2 (SA2), and urban rural. They are also used to define electoral districts, territorial authorities, and regional councils.

The following 16 meshblocks are outside the 12 mile limit and are not held in digitised form: 0016901, 0016902, 1588000, 3166401, 3166402, 3166600, 3166710, 3166711, 3195000, 3196001, 3196002, 3196003, 3196004, 3196005, 3196006, 3196007.

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 meshblock classification can also be downloaded from the Stats NZ classification and concordance tool Ariā.

Layer ID 105184
Data type Vector multipolygon
Feature count 52930
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Functional Urban Area 2018

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Creative Commons Attribution 4.0 International

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2002
63
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

2018 Census Household total New Zealand by Statistical Area 1

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Creative Commons Attribution 4.0 International

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1599
262
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

Māori Constituency 2020 (generalised)

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Creative Commons Attribution 4.0 International

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1666
22
Updated
30 Jan 2020

This dataset was last updated on Stats NZ Geographic Data Service on 30 Jan 2020.

This dataset is the definitive set of annually released regional council Māori constituency boundaries for 2020 as defined by the regional councils and/or Local Government Commission, and maintained by Stats NZ (the custodian). This version contains 20 categories.

This version contains 5 Māori constituencies, excluding area outside constituency. 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. They are created, based on population, to be the voting areas within councils. Māori constituencies are defined at meshblock level. If a regional council decides to have a Māori constituency, the constituencies within the council are known as general constituencies and Māori constituencies.

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.

Layer ID 104251
Data type Vector multipolygon
Feature count 20
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census Individual (part 2) total New Zealand by Statistical Area 1

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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.

1360
293
Updated
21 May 2020

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

This individual (part 2) dataset is displayed by statistical area 1 geography and contains information on:

• Religious affiliation (total responses)

• Cigarette smoking behaviour

• Difficulty seeing even if wearing glasses

• Difficulty hearing even if using a hearing aid

• Difficulty walking or climbing steps

• Difficulty remembering or concentrating

• Difficulty washing all over or dressing

• Difficulty communicating using your usual language for example being understood by others

• Legally registered relationship status

• Partnership status in current relationship

• Individual home ownership

• Number of children born

• Highest qualification

• Study participation

• Total personal income (grouped), including median total personal income

• Sources of personal income (total responses)

• Main means of travel to education, by usual residence address (2018 only)

• Main means of travel to education, by educational institution address (2018 only)

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 individual part 2, 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 104616
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 2021 (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.

1520
40
Updated
01 Feb 2021

This dataset was last updated on Stats NZ Geographic Data Service on 01 Feb 2021.

This dataset is the definitive set of meshblock boundaries concorded to higher geographies for 2021. This version contains 53,598 meshblocks, including 16 with empty or null geometries (non-digitised meshblocks). This Meshblock Higher Geographies 2021 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), Māoriward (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 geography urban accessibility indicator (IUA) was introduced for the first time in MBHG 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 the individual geography’s metadata.This high definition (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.

A link to the Geographic Areas Table 2021 can be found here.

Layer ID 105173
Data type Vector multipolygon
Feature count 53598 (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 2020 (high definition)

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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.

1272
86
Updated
31 Jan 2020

This dataset was last updated on Stats NZ Geographic Data Service on 31 Jan 2020.

This dataset is the definitive set of meshblock boundaries concorded to higher geographies for 2020.

This version contains 53,596 meshblocks, including 16 with empty or null geometries (non-digitised meshblocks). This Meshblock Higher Geographies 2020 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 (CB2020), constituency (CON2020), Māori constituency (MCON2020), Māori ward (MWARD2020), regional council (REGC2020), statistical area 1 (SA12020), statistical area 2 (SA22020), territorial authority local board (TALB2020), territorial authority (TA2020), subdivision (TASUB2020), urban rural (UR2020), urban rural indicator (IUR2020), and ward (WARD2020). 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). For further information on individual higher geographies, refer to each geography’s metadata.

Higher geography names are provided with and without tohutō/macrons, as applicable. Column names for those without macrons are suffixed ‘ascii’.

This high definition (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.

Digital boundary data became freely available on 1 July 2007.

See the Geographic Areas File 2020 for a correspondence of meshblock to a range of geographies.

Layer ID 104278
Data type Vector multipolygon
Feature count 53596 (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 (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.

1317
49
Added
07 Dec 2020

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

This dataset is the definitive set of annually released statistical area 1 (SA1) boundaries for 2021 as defined by Stats NZ. This version contains 29,910 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 105162
Data type Vector multipolygon
Feature count 29910 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census Individual (part 3b) total New Zealand by Statistical Area 1

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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.

1061
192
Updated
21 May 2020

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

This individual (part 3b) dataset is displayed by statistical area 1 geography and contains information on:

• Total hours worked in employment per week

• Main means of travel to work, by usual residence address

• Main means of travel to work, by workplace address*

• Unpaid activities

* Workplace address is coded from information supplied by respondents about their workplaces. Where respondents do not supply sufficient information, their responses are coded to ‘not further defined’. The statistical area 1 dataset for 2018 Census excludes these ‘not further defined’ areas.

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 individual part 3b, 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 104622
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
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