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This dataset was last updated on Stats NZ Geographic Data Service on 22 May 2018.
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This dataset is the definitive set of statistical area 2 (SA2) boundaries for 2018 as defined by Stats NZ.This version contains 2,253 SA2s. 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.The SA2 should:form a contiguous cluster of one or more SA1s excluding exceptions below, allow the release of multivariate statistics with minimal data suppression capture a similar type of area, such as high-density urban areas, farmland, wilderness areas, and water areas be socially homogeneous and capture a community of interest. It may have, for example: a shared road network shared community facilities shared historical or social links, or socio-economic similarity form a nested hierarchy with statistical output geographies and administrative boundaries. It must: be built from SA1s 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, for example, Fiordland. SA2s have been created in urban areas for areas that contain significant business and industrial activity, for example ports, airports, industrial, commercial, and retail areas. These areas have fewer than 1,000 residents and are useful for analysing business demographics, labour markets, and travel-to-work patterns. In major urban areas, an SA2 or a group of SA2s often approximates a single suburb. A small urban area containing up to 5,000 residents may be represented by a single SA2. In rural areas, rural settlements are included in their respective SA2 with the surrounding rural area. Some SA2s with nil or nominal populations have been created to ensure that the SA2 geography covers all of New Zealand and aligns with New Zealand’s topography and local government boundaries. These types of SA2s are described below. SA2s with nil or nominal resident populations are created to represent inland water, inlets or oceanic areas and include: inland lakes larger than 50 km2 (lakes smaller than 50 km2are included with the surrounding land SA2) harbours larger than 40 km2 major ports other non-contiguous inlets and harbours defined by territorial authority contiguous oceanic areas defined by regional council. Stewart Island and Chatham Islands are represented by separate SA2s. To minimise suppression of population data, small islands with nil or low populations close to the mainland are generally included with their adjacent land-based SA2. SA2s have been created for populated single islands or groups of islands which are some distance from the mainland, or to separate large unpopulated islands from urban areas. These SA2s are: Three Kings Islands Barrier Islands (includes Great Barrier and Little Barrier Islands, and other nearby islands) Gulf Islands (includes Motutapu, Rangitoto, and other islands in the Hauraki Gulf) Islands Thames Coromandel District Islands Bay of Plenty Region (Motiti Island, Mayor Island, Moutohora Island, and White Island) Bare Island (in the Bay of Plenty region but outside the territorial authority area) Matanaka Island Kapiti Island Mana Island Islands Tasman District (Best Island, Bell Island, and Rabbit Island) In rural areas where territorial authority boundaries straddle regional council boundaries, SA2s have been created to maintain the statistical geography and administrative area hierarchy. These SA2s each have fewer than 200 residents and are: Arahiwi, Tiroa, Rangataiki, Kaimanawa, Taharua, Te More, Ngamatea, Whangamomona, and Mara. The SA2 classification is a flat classification. As at 2018, there are 2,253 SA2s, including 2,237 digitised SA2s and 16 non-digitised SA2s. Each SA2 is a single geographic entity with a name and a numeric code. The name refers to a geographic feature or a recognised place name or suburb. In some instances where place names are the same or very similar, the SA2s are differentiated by their urban area or territorial authority, for example, Gladstone (Invercargill City) and Gladstone (Carterton District). SA2 codes have six digits. North Island SA2 codes start with a ‘1’ or ‘2’ and South Island SA2 codes start with a ‘3’. They are numbered approximately north to south within their respective territorial authorities. In 2018, the last two digits of each code is 00, and when SA2 boundaries change in the future, only the last two digits of the code will change to ensure the north-south pattern is maintained. Digital boundary data became freely available on 1 July 2007. The 2013 Census usually resident population count, Household and Occupied dwellings (private and non-private) data has been rebased to the new 2018 meshblock pattern and is shown according to the new statistical geographies and urban rural classification developed as a result of the SSGA review. The data is experimental and is provided as a guide to understanding the impact of the new geographic boundaries on the previous census counts. Census usually resident population count: The census usually resident population count of an area is a count of all people who usually live in that area and were present in New Zealand on census night. Excluded are: visitors from overseas, visitors from elsewhere in New Zealand and residents temporarily overseas on census night. Household count: A household is either one person who usually resides alone, or two or more people who usually reside together and share facilities (such as for eating, cooking, or a living area; and bathroom and toilet) in a private dwelling. Included are people who were absent on census night but usually live in a particular dwelling and are members of that household, as long as they were reported as being absent by the reference person on the dwelling form. Occupied dwellings (private and non-private) count. For census use, a dwelling is defined as occupied if it is: occupied at midnight on the night of census data collection, or occupied at any time during the 12 hours following midnight on the night of census data collection unless the occupant(s) completed a questionnaire at another dwelling during this period. This includes occupied dilapidated dwellings and occupied dwellings under construction. Note: This data has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables.
SA22018_V1_00 is a major released version of the annually released statistical area 2 (SA2) boundaries as at 1 January 2018 as defined by Stats NZ. This version contains 2,253 SA2s.
The 2013 Census usually resident population count, Household and Occupied dwellings (private and non-private) data has been rebased to the new 2018 meshblock pattern and is shown according to the new statistical geographies and urban rural classification developed as a result of the SSGA review. The data is experimental and is provided as a guide to understanding the impact of the new geographic boundaries on the previous census counts.
Note: This data has been randomly rounded to protect confidentiality. Individual figures may not add up to totals, and values for the same data may vary in different tables.
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
Statistical Area 2s are based on the meshblock pattern.
Non-alignment of meshblock and cadastral boundaries are one of a number of reasons for meshblock boundary adjustments. Other reasons include requests from local authorities, Local Government Commission, Electoral Representation Commission and to make census enumeration processes easier.
From the meshblock pattern, higher geographies were dissolved using the dissolve tool in the Arc GIS suite.
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