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.

949
168
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)

2018 Census Household total New Zealand by Statistical Area 1

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

814
220
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

Functional Urban Area 2018

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

1017
35
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 2020 Clipped (generalised)

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Creative Commons Attribution 4.0 International

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803
113
Updated
30 Jan 2020

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

This dataset contains the annually released urban rural 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 668 UR 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 104268
Data type Vector multipolygon
Feature count 668
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

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You must attribute the creator in your own works.

829
85
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

Meshblock 2020 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.

742
128
Updated
02 Feb 2020

This dataset was last updated on Stats NZ Geographic Data Service on 02 Feb 2020.

This dataset contains the annually released meshblock 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 52,929 meshblocks.

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 104279
Data type Vector multipolygon
Feature count 52929
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

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You must attribute the creator in your own works.

683
240
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

Statistical Area 1 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.

765
59
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 concorded to higher geographies for 2020 as defined by Stats NZ. This version contains 29,895 SA1s including 16 with empty or null geometries (non-digitised SA1s).

This SA1 higher geographies 2020 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 (REGC2020), statistical area 2 (SA22020), territorial authority (TA2020), urban rural (UR2020), and urban rural indicator (IUR2020). 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).

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 104276
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

Territorial Authority Local Board 2020 (generalised)

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Creative Commons Attribution 4.0 International

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701
100
Updated
31 Jan 2020

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

This dataset is a derived from the definitive version of the annually released 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). 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 104256
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 1 2020 (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.

685
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
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