World 2018 Data - Page 4

This dataset is the definitive set of the annually released regional council Māori constituency 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. Māori constituencies are established under the Local Electoral Act 2001 and result from the division of a region for electoral purposes. Māori constituencies are divisions of regional council areas.

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 Māori Constituency attachment below.

MB2018_V1_00_Centroid_Inside is the inside centroid point layer for the major released version of the annually released meshblock boundaries as at 1 January 2018.The "inside" centroid is a point which always falls inside each meshblock 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.

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.

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.

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.

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.

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.

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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.