Statistical Area 1 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.

691
118
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 statistical area 1 (SA1) boundaries for 2020 as defined by Stats NZ. This version contains 29,895 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 104274
Data type Vector multipolygon
Feature count 29895 (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 Main means of travel to education by Statistical Area 2

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

2249
528
Added
14 Jun 2020

This dataset was first added to Stats NZ Geographic Data Service on 14 Jun 2020.

The 2018 Census commuter view dataset contains the census usually resident population count who are studying (part time or full time), by statistical area 2 for the main means of travel to education variable from the 2018 Census. The geography corresponds to 2018 boundaries.

This dataset is the base data for the ‘There and back again: our daily commute’ competition.

This 2018 Census commuter view dataset is displayed by statistical area 2 geography and contains from-to (journey) on an individual’s usual residence and educational institution address* by main means of travel to education.

*Educational institution address is coded from information supplied by respondents about where they study. Where respondents do not supply sufficient information, their responses are coded to ‘not further defined’. The 2018 Census commuter view datasets excludes these ‘not further defined’ areas, as such the sum of the counts for each region in this dataset may not be equal to the total census usually resident population count who are studying (part time or full time) for that region.

It is recommended that this dataset be downloaded as either a CSV or a file geodatabase.

This dataset can be used in conjunction with the following spatial files by joining on the statistical area 2 code values:

· Statistical Area 2 2018 (generalised)

· Statistical Area 2 2018 (Centroid Inside)

The data uses fixed random rounding to protect confidentiality. Counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of -999 indicate suppressed data..

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 2 geography please refer to the Statistical standard for geographic areas 2018.

Table ID 104721
Data type Table
Row count 22430
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Geographic Areas File 2018

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

421
120
Added
24 May 2020

This dataset was first added to Stats NZ Geographic Data Service on 24 May 2020.

The geographic areas file 2018 is a downloadable csv file that classifies meshblocks into larger geographic areas, such as statistical area 2s, territorial authorities, and regional councils. You can use this areas file, also known as a concordance file, to see how the various geographic boundaries link together.

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

Table ID 104680
Data type Table
Row count 53589
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Community Board 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.

450
19
Added
01 Dec 2020

This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2020.

This dataset is the definitive set of community board boundaries for 2021 as defined by the territorial authorities and Local Government Commission but maintained by Stats NZ (the custodian). Community boards are set up under the Local Government Act 2002 and Local Electoral Act 2001. Their purpose is to administer the affairs of communities with populations not less than 1,500 within rural, urban, or metropolitan districts of a territorial authority.

Local boards also fall within the community board classification. Local boards were introduced as part of the new local government arrangements for Auckland in 2010. Local boards share governance with a council’s governing body and each has complementary responsibilities, guaranteed by legislation. Local boards can propose bylaws and they gather community views on local and regional matters.

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 105130
Data type Vector multipolygon
Feature count 187
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Accessibility 2018 (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

2160
57
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 1991 (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

6835
45
Added
02 Aug 2018

This dataset was first added to Stats NZ Geographic Data Service on 02 Aug 2018.

This dataset is the definitive set of annually released meshblock boundaries at 1 January 1991. 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 area units and urban areas. They are also used to define electoral districts, territorial authorities and regional councils.

Layer ID 95635
Data type Vector multipolygon
Feature count 35136
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 Higher Geographies 2018 (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

8779
131
Updated
22 May 2018

This dataset was last updated on Stats NZ Geographic Data Service on 22 May 2018.

This dataset is the definitive version of statistical area 2 (SA2) boundaries concorded to higher geographies as at 1 January 2018 as defined by Stats NZ.
This version contains 2,253 SA2s. 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).
Statistical area 2 (SA2) is a new 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.
Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Please note that a review of SA2 names was undertaken in early 2018. The review addressed issues with inconsistent naming and applied corrections, resulting in an update to this dataset applied in May 2018. All SA2 codes are unchanged.

Layer ID 95065
Data type Vector multipolygon
Feature count 2253 (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 2 2018 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.

10274
387
Updated
17 May 2018

This dataset was last updated on Stats NZ Geographic Data Service on 17 May 2018.

This dataset is the definitive set of statistical area 2 (SA2) boundaries at 1 January 2018, clipped to the coastline. This clipped version has been created for map creation/cartographic purposes and may not fully represent the official full extent boundaries. SA2 is a new output geography that provides higher aggregations of population data than can be provided at the statistical area 1 (SA1) level. SA2s are defined at meshblock and SA1 levels.

Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

For further information see ANZLIC Metadata 2018 Statistical Area 2 attachment below.

Please note that a review of SA2 names was undertaken in early 2018. The review addressed issues with inconsistent naming and applied corrections, resulting in an update to this dataset applied in May 2018. All SA2 codes are unchanged.

Layer ID 92213
Data type Vector multipolygon
Feature count 2171
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Regional Council 2019 (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.

9144
462
Updated
03 May 2019

This dataset was last updated on Stats NZ Geographic Data Service on 03 May 2019.

This dataset is the definitive set of the annually released regional council boundaries at 1 January 2019 as defined by the regional council and/or Local Government Commission and maintained by Stats NZ. Regional council is the top tier of local government in New Zealand. Regional councils are defined at meshblock, statistical area 1 (SA1), and statistical area 2 (SA2) levels.

Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

For further information see ANZLIC Metadata 2019 Regional Council attachment below.

Layer ID 98763
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census individual part 1 total NZ by statistical area 1 (2018 Census only) lookup table

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

351
67
Added
07 Apr 2020

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

This lookup table relates to the web service 2018 Census individual part 1 data by SA1.
The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The individual (part 1) dataset is displayed by statistical area 1 geography and contains information on:
• Census usually resident population count
• Census night population count
• Unit record data source
• Sex
• Age in five-year groups, including median age
• Age in broad groups
• Age in five-year groups by sex, including median age
• Years at usual residence
• Usual residence five years ago (2013) indicator
• Usual residence one year ago (2017) indicator
• Birthplace
• Birthplace (broad geographic areas) excluding at SA1
• Years since arrival in New Zealand, for the overseas-born
• Ethnic group (grouped total responses)
• Six languages (total responses)
• Māori descent

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, values of ‘-998’ refer to data not available at SA1 (refer to Birthplace for lower geographic breakdowns), and values of ‘Null’ 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 1, 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.

Table ID 104568
Data type Table
Row count 160
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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