Retail trade sales per capita, by region, 2012 - 2017

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Creative Commons Attribution 4.0 International

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11871
50
Added
18 May 2018

This dataset was first added to Stats NZ Geographic Data Service on 18 May 2018.

This data is derived from ‘Sales by region in current prices - quarterly’ and ‘Estimated resident population for regional council areas, at 30 June(1996+)’.

The regional retail sales data has been aggregated to create data for calendar years(2012 - 2017), which have then divided by the population estimate for the relevant region and year, to create the per capita sales figures. Sales figures exclude GST.

The retail industry groups include the following ANSZIC06 industries (this data is for 2017 ONLY):

Motor vehicles, parts, and fuel retailing:
Motor vehicles and parts
Fuel

Supermarkets and specialised food retailing:
Supermarket and grocery stores
Specialised food
Liquor

Other retailing:
Department stores
Furniture, floor-coverings, houseware, textiles
Electrical and electronic goods
Clothing, footwear, and accessories
Recreational goods
Hardware, building, and garden supplies
Pharmaceutical and other store-based retailing
Non-store and commission-based retailing

Hospitality:
Accommodation
Food and beverage services

Layer ID 95458
Data type Vector multipolygon
Feature count 16
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Incidence rates of work-related injury claims by geographic region, 2016

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Creative Commons Attribution 3.0

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11509
67
Added
27 Aug 2017

This dataset was first added to Stats NZ Geographic Data Service on 27 Aug 2017.

A geospatial dataset showing provisional data for incidence rates of work-related injury claims, and claims involving entitlement payments, for 2016, by geographic region.

Work-related claims measure claims accepted by Accident Compensation Corporation (ACC) for work-related injuries.

This dataset contains incidence rates of work-related injury claims for the 2016 calendar year, calculated by Stats NZ. Incidence rates are the number of work-related claims per 1,000 full-time equivalent employees (FTEs). FTE figures are as estimated by Stats NZ’s Household Labour Force Survey. Entitlement payments include death benefits, weekly compensation, lump sum, and rehabilitation payments.

All figures presented in this dataset are provisional because claims for injuries that occurred in 2016 can still be updated and filed. Final work-related claim figures for 2016 will be released in 2018.

Geographic regions are groupings of territorial authorities (TAs). In most cases, regional boundaries follow TA boundaries. Where the TAs straddle more than one geographic region, they are assigned to the region containing the greatest proportion of their population.

See www.stats.govt.nz/browse_for_stats/health/injuries... for the report this data accompanies.

Layer ID 88076
Data type Vector multipolygon
Feature count 11
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Regional Council 2001

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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.

10014
29
Added
20 Oct 2016

This dataset was first added to Stats NZ Geographic Data Service on 20 Oct 2016.

This is the definitive set of regional council boundaries for 2001 as defined by the Local Government Commission and/or regional councils themselves but maintained by Statistics New Zealand (the custodian) as at 1 January 2001.
The regional council is the top tier of local government in New Zealand. There are 16 regional councils in New Zealand (defined by Part 1 of Schedule 2 of the Local Government Act 2002). Eleven are governed by an elected regional council, while five are governed by territorial authorities (the second tier of local government) who also perform the functions of a regional council and are known as unitary authorities. These unitary authorities are Nelson City Council, and Gisborne, Tasman, and Marlborough District Councils. The Chatham Islands Council also performs some of the functions of a regional council, but is not strictly a unitary authority. Unitary authorities act as regional councils for the purposes of a wide range of legislative purposes. Regional councils are responsible for the administration of many environmental and transport matters such as land transport planning and harbour navigation and safety.
Regional Councils were established in 1989 after the abolition of the 22 local government regions. The Local Government Act 2002 requires the boundaries of regions to conform, as far as possible, to one or more water catchments. When determining regional boundaries, the Local Government Commission gave consideration to regional communities of interest when selecting which water catchments to include in a region. It also considered factors such as natural resource management, land use planning and environmental matters. Some regional council boundaries are coterminous with territorial authority boundaries but there are several exceptions. An example is Taupo District, which is geographically split between four regions, although most of its area falls within the Waikato Region. Where territorial local authorities straddle regional council boundaries, the affected area is statistically defined by complete area units. In general, however, regional councils contain complete territorial authorities.
The seaward boundary of any coastal regional council is the twelve mile New Zealand territorial limit.

Layer ID 25740
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census selected variables by Regional Council Urban Accessibility Indicator

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

132
3
Added
12 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 12 Sep 2021.

This dataset contains counts for urban accessibility geography by region for selected variables from the 2018, 2013, and 2006 censuses. Estimated resident populations for 1996–2020 are also included.

Urban accessibility 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. To find out more about the urban accessibility classification see Urban accessibility – methodology and classification.

The urban accessibility categories are:

· major urban area – 100,000 or more residents

· large urban area – 30,000–99,999 residents

· medium urban area – 10,000–29,999 residents

· high urban accessibility – small urban areas (1,000–9,999 residents) and rural SA1s within 0 to 15 minutes from major urban areas

· medium urban accessibility – small urban areas and rural SA1s within: 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 – small urban areas and rural SA2s within: 25 to 60 minutes from major or large urban areas, 15 to 60 minutes from medium urban areas

· remote – small urban areas and rural SA1s within 60 to 120 minutes from major, large, or medium urban areas

· very remote – small urban areas and rural SA1s more than 120 minutes from major, large, or medium urban areas

· water areas – inland water, inlet, oceanic.

The dataset uses geographic boundaries (SA1, urban area, regional council) as at 1 January 2018. For explanation of geographies see Statistical standard for geographic areas 2018.

Included in this dataset:

· estimated resident population at 30 June 1996-2020

· 2006, 2013, and 2018 Census usually resident population and sex

· 2018 Census usually resident: age (10-year groups), median age, ethnic group, birthplace, work and labour force status, status in employment, occupation, industry, highest qualification, sources of personal income, total personal income (grouped), median income, individual home ownership, languages spoken, religious affiliation, main means of travel to work by usual residence address, main means of travel to education by usual residence address, New Zealand Index of deprivation

· 2018 Census dwellings: dwelling type, main types of heating used, dwelling dampness, dwelling mould

· 2018 Census households: tenure of household, access to telecommunication systems; number of motor vehicles.

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.

Medians are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculation. Medians based on less than six individuals are suppressed.

For further information on this dataset please refer to the 2018 Census urban accessibility dataset on the 2018 Census webpage - Excel workbook (including data quality ratings and footnotes).

Layer ID 106046
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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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

65
1
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