Regional Council 2022 Clipped (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.

893
126
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

Urban Accessibility Indicator 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.

14720
53
Added
06 Dec 2020

This dataset was first added to Stats NZ Geographic Data Service on 06 Dec 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.

Urban accessibility indicator is also available as an attribute on Statistical Area 1 Higher Geographies 2021 (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 105155
Data type Vector multipolygon
Feature count 11
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand business demography statistics at February 2020 (on statistical area 2 2020)

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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.

5151
208
Added
29 Mar 2021

This dataset was first added to Stats NZ Geographic Data Service on 29 Mar 2021.

Business demography statistics

Business demography statistics provide an annual snapshot (as at February) of the structure and characteristics of New Zealand businesses. Statistics produced include counts of enterprises and geographic units by industry, geography such as region or statistical area 2 (SA2), institutional sector, business type, degree of overseas ownership, enterprise births, enterprise deaths, survival rate of enterprises and employment levels.

The series covers economically significant private-sector and public-sector enterprises that are engaged in the production of goods and services in New Zealand. These enterprises are maintained on the Statistics NZ Business Register (BR), which generally includes all employing units and those enterprises with GST turnover greater than $30,000 per year.

For further information: www.stats.govt.nz/information-releases/new-zealand...

Statistical geography

This dataset provides data for the SA2 geography (SA22020_V1_00). Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’. Data for earlier years is available in NZ.Stat– see Geographic units by industry and statistical area 2000-2020.

Geographic units

The geographic unit represents a business location engaged in one, or predominantly one, kind of economic activity at a single physical site or base (e.g. a factory, a farm, a shop, an office). Geographic units are unique to enterprises and an enterprise unit can have one or many geographic units (business locations). Typically, an enterprise unit only has a single geographic unit, unless the enterprise has paid employees who permanently work at more than one location. Geographic units can be transferred between enterprises (e.g. enterprise B purchases a factory (a geographic unit on the BR) as a going concern from enterprise A).

Employee count data

Employee counts (ECs) are sourced from the Inland Revenue employer monthly schedule (EMS) tax form.

Industry

The Australian and New Zealand Standard Industrial Classification (ANZSIC) 2006 is used to compile Business Demography statistics. The classification can be viewed and downloaded from Ariā.

ANZSIC 2006 divisions are:

A Agriculture, Forestry and Fishing

B Mining

C Manufacturing

D Electricity, Gas, Water and Waste Services

E Construction

F Wholesale Trade

G Retail Trade

H Accommodation and Food Services

I Transport, Postal and Warehousing

J Information Media and Telecommunications

K Financial and Insurance Services

L Rental, Hiring and Real Estate Services

M Professional, Scientific and Technical Services

N Administrative and Support Services

O Public Administration and Safety

P Education and Training

Q Health Care and Social Assistance

R Arts and Recreation Services

S Other Services

Total Industry

Rounding

Enterprise, geographic unit, and EC counts are randomly rounded. Due to rounding, individual figures may not sum to the published totals.

Quality limitations of fine-level data, including SA2-level data

We recommend caution when using fine-level regional and industry business demography data. The Business Register (BR) supports quality national-level and aggregate industry-level statistics but is not designed to provide quality fine-level regional or industry statistics. The BR update sources can have timing lags and less robust information for small and medium-sized enterprises. These quality weaknesses can be highlighted in fine-level business demography statistics.

For more information about data quality and available data go to DataInfo+.

Layer ID 105388
Data type Vector multipolygon
Feature count 2239
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Meshblock Higher Geographies 2022 (high definition)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1161
44
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 (CB2022), constituency (CON2022), Māori constituency (MCON2022), Māori ward (MWARD2022), regional council (REGC2022), statistical area 1 (SA12022), statistical area 2 (SA22022), territorial authority local board (TALB2022), territorial authority (TA2022), subdivision (TASUB20212), urban accessibility indicator (IUA2022), urban rural (UR2022), urban rural indicator (IUR2022), and ward (WARD2022).

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 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 2022 can be found here.

Layer ID 106727
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

Urban Rural 2020 (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.

18748
609
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 urban rural boundaries for 2020 as defined by Stats NZ. This version contains 721 urban rural categories.

The urban rural geography was introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA18) which replaced the New Zealand Standard Areas Classification (NZSAC92). The urban rural geography replaces the (NZSAC92) urban area geography.

Urban rural is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.

Update: Following the 2018 Census ten rural settlements were reclassified as small urban areas in the Urban Rural 2020 classification. These are: Haruru, Ngunguru, Waipu, Parakai, Patumahoe Village, Pauanui, Pirongia, Mapua, Clyde and Lake Hawea.

The urban rural indicator complements the urban rural geography and is an attribute in this dataset. Further information on the urban rural indicator is available on the Stats NZ classification and coding tool ARIA.

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 104269
Data type Vector multipolygon
Feature count 721 (incl. 4 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Territorial Authority 2021 (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.

9267
588
Added
06 Dec 2020

This dataset was first added to Stats NZ Geographic Data Service on 06 Dec 2020.

This dataset is the definitive set of annually released territorial authority boundaries for 2021 as defined the territorial authorities and/or Local Government Commission and maintained by Stats NZ (the custodian). This version contains 68 categories.

A territorial authority is defined under the Local Government Act 2002 as a city or a district council. There are 67 territorial authorities in New Zealand. Some territorial authority boundaries are coterminous with regional council boundaries but there are several exceptions. An example is Taupo District, which is split between four regions, although most of its area falls within the Waikato Region. Territorial authorities are defined at meshblock, statistical area 1 (SA1) and statistical area 2 (SA2) levels.

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 105153
Data type Vector multipolygon
Feature count 68
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 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.

841
42
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 2 (SA2) boundaries for 2022 as defined by Stats NZ (the custodian), 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 2,178 SA2 features.

SA2s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA2018) which replaced he New Zealand Standard Areas Classification (NZSAC1992). The SA2 geography replaces the (NZSAC1992) area unit geography.

SA2 is an output geography that provides higher aggregations of population data than can be provided at the statistical area 1 (SA1) level. The SA2 geography aims to reflect communities that interact together socially and economically. In populated areas, SA2s generally contain similar sized populations.

SA2s are built from SA1s and either define or aggregate to define urban rural areas, territorial authorities, and regional councils. SA2s in city council areas generally have a population of 2,000–4,000 residents while SA2s in district council areas generally have a population of 1,000–3,000 residents. In rural areas, many SA2s have fewer than 1,000 residents because they are in conservation areas or contain sparse populations that cover a large area.

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 106706
Data type Vector multipolygon
Feature count 2178
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 2022 Clipped (generalised)

750
31
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), 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 29,698 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 106709
Data type Vector multipolygon
Feature count 29698
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 1 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.

1319
45
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 annually released statistical area 1 (SA1) boundaries concorded to higher geographies for 2022 as defined by Stats NZ (the custodian). This version contains 29,913 SA1s including 16 with empty or null geometries (non-digitised SA1s).

This SA1 higher geographies 2021 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 (REGC2021), statistical area 2 (SA22021), territorial authority (TA2021), urban rural (UR2021), urban rural indicator (IUR2021), and urban accessibility indicator (IUA2021). 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.

Layer ID 106730
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 (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.

5597
183
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
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