Regional Council Urban Accessibility Indicator 2018

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466
14
Added
06 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 06 Sep 2021.

RC_IUA 2018 contains urban accessibility classes by regional council geography. The dataset uses geographic boundaries (urban accessibility indicator (IUA), regional council (RC) as at 1 January 2018.

To download census and other data for this classification go to '2018 Census selected variables by Regional Council Urban Accessibility Indicator 2018'.

The urban accessibility (IUA) indicator 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. The full classification is: 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.

Regional council (RC) boundaries for 2018 are defined by the regional councils and/or Local Government Commission and maintained by Stats NZ. This version contains 16 regional councils. The full classification is: 01 Northland Region 02 Auckland Region 03 Waikato Region 04 Bay of Plenty Region 05 Gisborne Region 06Hawke's Bay Region 07 Taranaki Region 08 Manawatu-Wanganui Region 09 Wellington Region 12 West Coast Region 13 Canterbury Region 14 Otago Region 15 Southland Region 16 Tasman Region 17 Nelson Region 18 Marlborough Region 99 Area Outside Region.

The RC_IUA codes and names combine the RC and IUA codes and names, e.g. 01112 Northland Region_Major urban area.There are 140 classes. Some regional council areas do not contain all IUA classes but each region has at least four IUA classes.

Layer ID 106011
Data type Vector multipolygon
Feature count 140
Primary key RC_IUA2018_V1_00
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Meshblock Urban Accessibility Indicator Higher Geographies 2018 (generalised)

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322
5
Added
06 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 06 Sep 2021.

This dataset is the definitive set of 2018 meshblock boundaries and higher geographies that may be used with the Regional Council Urban Accessibility Indicator 2018 (RC_IUA 2018). The higher geographies in this dataset are statistical area 1 (SA1), urban accessibility indicator (IUA) and regional council (REGC). This version contains 53,589 meshblocks.

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.

Layer ID 106010
Data type Vector multipolygon
Feature count 53589 (incl. 16 with empty or null geometries)
Primary key MB2018_V1_00
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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3384
100
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 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.

4321
82
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

Geographic Areas File 2018

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Creative Commons Attribution 4.0 International

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1712
190
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

ANZLIC Metadata 2018 Urban Rural Indicator

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Creative Commons Attribution 4.0 International

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409
5
Added
04 Dec 2018

This item was first added to Stats NZ Geographic Data Service on 04 Dec 2018

8

ANZLIC Metadata 2018 Urban Rural Indicator

Document ID21841
File nameanzlic-metadata-2018-urban-rural-indicator.pdf
TypePDF
Size391 KB

ANZLIC Metadata 2018 Urban Rural Indicator

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

588
96
Added
04 Dec 2018

This item was first added to Stats NZ Geographic Data Service on 04 Dec 2018

8

ANZLIC Metadata 2018 Urban Rural Indicator

Document ID21840
File nameanzlic-metadata-2018-urban-rural-indicator.pdf
TypePDF
Size391 KB

Statistical Area 2 Higher Geographies 2018 Clipped (generalised)

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10732
146
Updated
26 Apr 2019

This dataset was last updated on Stats NZ Geographic Data Service on 26 Apr 2019.

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, clipped to the coastline.
This version contains 2,171 SA2s and has been created for map creation/cartographic purposes and does not fully represent the official full extent boundaries. 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 95066
Data type Vector multipolygon
Feature count 2171
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 2018 (Centroid True)

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12853
136
Updated
17 May 2018

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

Statistical Area 2 2018 (Centroid True) is the true centroid point layer for the major released version of the annually released statistical area 2 (SA2) boundaries for 2018. The "true" centroid is the centre of mass of that polygon, such that if some flat substance of uniform thickness and density were cut into the shape of that polygon, then that object would balance at the centroid. The centroid is a useful way of summarizing the location of a set of polygons as points, particularly when used for comparative analysis. Note that the centroid could potentially fall outside the SA2 polygon, depending on the shape of the polygon.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. Non-digitised meshblocks cannot have a centroid.

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 93620
Data type Vector point
Feature count 2237
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 2018 (Centroid Inside)

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14203
295
Updated
17 May 2018

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

Statistical Area 2 2018 (Centroid Inside) is the inside centroid point layer for the major released version of the annually released statistical area 2 (SA2) boundaries for 2018.
The "inside" centroid is a point which always falls inside each SA2 polygon as this is often desirable in some users cases. 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 Meshblock 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.

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 93619
Data type Vector point
Feature count 2237
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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