Ward 2020 Clipped (generalised)

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Creative Commons Attribution 4.0 International

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4587
91
Updated
22 Sep 2020

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

This dataset contains the annually released ward boundaries for 2020 as defined by the territorial authorities and/or Local Government Commission, and maintained 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 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 104262
Data type Vector multipolygon
Feature count 239
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

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

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Creative Commons Attribution 4.0 International

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4379
272
Added
18 May 2020

This dataset was first added to Stats NZ Geographic Data Service on 18 May 2020.

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

• Work and labour force status

• Status in employment

• Occupation – major group, by usual residence address

• Occupation – major group, by workplace address*

• Industry (division), by usual residence address

• Industry (division), by workplace address*

* 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.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for individual part 3a, 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 104621
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

Regional Tourism Organisation 2017

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Creative Commons Attribution 4.0 International

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4586
48
Updated
16 Oct 2019

This dataset was last updated on Stats NZ Geographic Data Service on 16 Oct 2019.

Regional tourism organisation boundaries are meshblock based and were created by dissolving groupings of ward and territorial authority areas. This version or regional tourism organisation boundaries extends to the 12 mile limit. Regional tourism organisations are responsible for the promotion of their regions to potential domestic and international visitors. This version has been developed with input from Regional Tourism New Zealand

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), Rangitikei (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. The meshblocks crossed by regional tourism organisation areas boundries are: 3174500 Fiordland 3175100 Fiordland 3173403 Southland 3172802 Southland 3172804 Southland 3172100 Fiordland 4004893 Fiordland 3191600 Fiordland 3191701 Fiordland 3192300 Southland 3192400 Southland 3193400 Fiordland.

The classification relating to this version can be viewed and downloaded from the Stats NZ classifications management system ARIA : Regional Tourism Organisation Areas V3.0.0

Layer ID 103794
Data type Vector multipolygon
Feature count 37
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 2020 Clipped (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

4409
178
Updated
28 Jun 2020

This dataset was last updated on Stats NZ Geographic Data Service on 28 Jun 2020.

This dataset contains the annually released statistical area 2 (SA2) boundaries for 2020 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 2,173 SA2 categories.

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. This version contains 2,173 SA2s.

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 104270
Data type Vector multipolygon
Feature count 2173
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

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You must attribute the creator in your own works.

4352
37
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

Constituency 2020 (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

4332
28
Updated
29 Jan 2020

This dataset was last updated on Stats NZ Geographic Data Service on 29 Jan 2020.

This dataset is the definitive set of annually released regional council 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 64 categories.

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.

Layer ID 104247
Data type Vector multipolygon
Feature count 64
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Proposed General Electorates 2020

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Creative Commons Attribution 4.0 International

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4213
115
Updated
18 Nov 2019

This dataset was last updated on Stats NZ Geographic Data Service on 18 Nov 2019.

These boundaries comprise the proposed 65 general electorates released by the Representation Commission in November 2019 for public consultation. Public objections to the proposed electorate boundaries can be made between 20 November and 20 December 2019. Following release of the objections, counter-objections can be made between 10 and 24 January 2020. Following consideration of objections and counter-objections, the boundaries for the 2020 and 2023 general elections will be fixed by the Representation Commission in April 2020.

The Representation Commission is convened by the Surveyor-General, its role is to re-draw electorate boundaries to make sure each electorate has about the same number of people. The general electoral population, number of general electorates, and North Island and South Island electoral quotas are calculated using formula specified in the Electoral Act 1993. When setting the boundaries, the Representation Commission also considers existing boundaries, communities of interest, the infrastructure that links communities (such as main roads), topographical features, and any projected variation in the population of those electorates during their existence. Land Information New Zealand (LINZ) and Stats NZ are the data custodians.

Data is provided with tohutō/macrons (UTF-8 format). To support users with the compatibility of the data and the applications they might be using, additional fields are also provided in ASCII format.

Meshblocks, which aggregate to form electorates, are updated annually by Stats NZ. Since the 2013/14 boundary review, a number of meshblock boundaries that coincide with electorate boundaries have been adjusted to a better position i.e. to follow the correct line of a river or road. These minor adjustments do not affect any populations. The adjustments are visible in a small number of land and coastal areas where the current and proposed boundaries do not exactly align. The Representation Commission will be asked to approve these minor adjustments when they fix the boundaries in 2020.

Layer ID 104202
Data type Vector multipolygon
Feature count 65
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Urban Accessibility 2018 (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.

4163
81
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

Statistical Area 2 Higher Geographies 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.

4059
137
Updated
29 Jun 2020

This dataset was last updated on Stats NZ Geographic Data Service on 29 Jun 2020.

This dataset is the definitive version of annually released statistical area 2 (SA2) boundaries concorded to higher geographies for 2020 as defined by Stats NZ. this version contains 2,255 categories.

This statistical area 2 higher geographies file is a correspondence, or concordance, which relates SA2s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: territorial authority (TA) and regional council (REGC). For more information on the individual higher geographies, refer to each geography’s metadata.

SA2s were introduced as part of the Statistical Standard for Geographic Areas 2018 (SSGA2018) which replaced the New Zealand Standard Areas Classification (NZSAC1992). The SA2 geography replaces the (NZSAC1992) area unit 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 104275
Data type Vector multipolygon
Feature count 2255 (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 electoral population (Meshblock 2020)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

3843
319
Added
08 Apr 2020

This dataset was first added to Stats NZ Geographic Data Service on 08 Apr 2020.

These meshblocks are used as a basis to build the electoral population for each electorate. We calculated the electoral populations from the 2018 Census data using the formula specified in the Electoral Act 1993 and then apply two confidentiality rules: suppression of all unrounded counts below six (displayed as: ‘-999’) and random rounding to base three. Since the electoral populations of each meshblock are randomly rounded, the count for each meshblock could be different to the raw total by up to two when compared with the total electoral population for meshblocks from another source.

Data is provided with tohutō/macrons (UTF-8 format). To support users with the compatibility of the data and the applications they might be using, additional fields are also provided in ASCII format.

Meshblocks, which aggregate to form electorates, are updated annually by Stats NZ. The 2020 electorate boundaries reflect a number of minor technical adjustments to meshblock boundaries, not involving population i.e. to follow the correct line of a river or road. The adjustments are visible in a small number of land and coastal areas where electorate boundaries otherwise unchanged between 2014 and 2020 do not exactly align.

Note: This dataset contains the meshblock MB2020_V2_00 (version 2), a major released version of the annually released meshblock boundaries as at 17 April 2020. This version contains 53,582 meshblocks, or an additional two when compared with MB2020_V1_00 (excluding the 16 non-digitised meshblocks). This version reflects changes made to meshblocks for the 2019/2020 Representation Commission.

Layer ID 104578
Data type Vector multipolygon
Feature count 53582
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)
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