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

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3729
234
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

Constituency 2020 (generalised)

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Creative Commons Attribution 4.0 International

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3886
27
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

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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3145
577
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

Territorial Authority Local Board 2020 Clipped (generalised)

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Creative Commons Attribution 4.0 International

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3604
82
Updated
31 Jan 2020

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

This dataset is a derived version comprising local boards for Auckland and territorial authorities for the rest of New Zealand, 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 21 local boards in the Auckland Council and 66 territorial authority boundaries for the rest New Zealand.

For statistical outputs that use territorial authorities to aggregate and report data Auckland Council is treated as a single geographic entity. This can hide meaningful patterns and trends for a significant portion of the population. A solution was to create a new classification of territorial authorities that includes the local boards for Auckland. The Auckland Council was established in 2010 under the Local Government (Tamaki Makaurau Reorganisation) Act 2009. Seven territorial authorities within the Auckland Region were abolished and replaced by the unitary authority Auckland Council. Local boards fall within the community board classification.

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 104255
Data type Vector multipolygon
Feature count 88
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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3531
133
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

Constituency 2020 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.

3269
27
Updated
29 Jan 2020

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

This dataset contains the 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). 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 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. They 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. Constituencies are required to reflect communities of interest. Their boundaries, so far as is practicable, coincide with those of territorial authorities or wards.

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 104246
Data type Vector multipolygon
Feature count 64
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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2983
271
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)

Meshblock 2021 Clipped (generalised)

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Creative Commons Attribution 4.0 International

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2925
138
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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2632
83
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

Urban Rural 2021 (generalised)

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2494
131
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 urban rural boundaries for 2021 as defined by Stats NZ. This version contains 722 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.

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 105158
Data type Vector multipolygon
Feature count 722 (incl. 4 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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