Meshblock Higher Geographies 2020 (high definition)

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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.

272
24
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

Statistical Area 1 Higher Geographies 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.

260
10
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

Statistical Area 1 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.

217
27
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 statistical area 1 (SA1) 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 29,694 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 104272
Data type Vector multipolygon
Feature count 29694
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 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.

199
28
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 statistical area 2 (SA2) boundaries for 2020 as defined by Stats NZ. This version contains 2,255 SA2 categories.

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.

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 104271
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

Meshblock Higher Geographies 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.

181
5
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 annually released 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), Māoriward (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).

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.

See the Geographic Areas File 2020 for a correspondence of meshblock to a range of geographies.

Layer ID 104277
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

Territorial Authority Local Board 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.

94
7
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

Regional Tourism Organisation 2017 Clipped

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

88
7
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 of regional tourism organisation boundaries is clipped to the coastline and excludes those meshblocks that had a land/water attribute of Inlet or Oceanic. 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 103793
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 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.

26
0
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

Statistical Area 1 2020 (Centroid Inside)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

0
0
Added
20 Jan 2020

This dataset was first added to Stats NZ Geographic Data Service on 20 Jan 2020.

This dataset contains the inside centroid point layer for the annually released statistical area 1 (SA1) boundaries as at 1 January 2020.The "inside" centroid is a point which always falls inside each SA1 polygon as this is often desirable. The placement of the point is typically in the widest part of the polygon. The algorithms used are proprietary to ESRI and are related to label placement. Note that the "inside" centroid is NOT always the same as the center of gravity ("true" centroid) of the polygon as in some situations the true centroid may fall outside the SA1 geometry. The dataset contains the EASTING and NORTHING attributes of the centroid point in NZGD2000 New Zealand Transverse Mercator (EPSG:2193) and LATITUDE and LONGITUDE of the centroid point in decimal degrees in WGS1984 (EPSG:4326) projection.

Layer ID 104428
Data type Vector point
Feature count 29879
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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