Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to Stats NZ Geographic Data Service on 01 Dec 2021.
eng
utf8
dataset
dataset
Geospatial Team
Stats NZ
0508 525 525
geography@stats.govt.nz
https://datafinder.stats.govt.nz/
owner
2021-11-16
ISO 19139 Geographic Information - Metadata - Implementation Specification
2007
geometryOnly
composite
29913
2193
EPSG
7.9.4(9.0.0)
SA12022_V1_00
mapDigital
This dataset is the definitive set of statistical area 1 (SA1) boundaries for 2022 as defined by Stats NZ.Statistical area 1 is an 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.The SA1 should: - form a contiguous cluster of one or more meshblocks - be either urban, rural, or water in character be small enough to: - allow flexibility for aggregation to other statistical geographies - allow users to aggregate areas into their own defined communities of interest - form a nested hierarchy with statistical output geographies and administrative boundaries. It must: - be built from meshblocks - either define or aggregate to define SA2s, urban rural areas, territorial authorities, and regional councils.SA1s generally have a population of 100–200 residents, with some exceptions:SA1s with nil or nominal resident populations are created to represent remote mainland areas, unpopulated islands, inland water, inlets, or oceanic areas Some SA1s in remote rural areas and urban industrial or business areas have fewer than 100 residentsSome SA1s that contain apartment blocks, retirement villages, and large non-residential facilities have more than 500 residents.The SA1 classification is a flat classification and in 2022 contains 29,913SA1s – 29,897digitised and 16 non-digitised. SA1s are not named. SA1 codes have seven digits starting with a ‘7’ and numbered approximately north to south. As new SA1s are created, they are given the next available numeric code.Aggregated from meshblocks, SA1s cover the land area of New Zealand, the water area to the 12-mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, off-shore oil rigs, and Ross Dependency. The following 16 SA1s are not held in digitised form.SA1 codeLocation (statistical area 2 name)7999901New Zealand Economic Zone7999902Oceanic Kermadec Islands7999903Kermadec Islands7999904Oceanic Oil Rig Taranaki7999905Oceanic Campbell Island7999906Campbell Island7999907Oceanic Oil Rig Southland7999908Oceanic Auckland Islands7999909Auckland Islands7999910Oceanic Bounty Islands7999911Bounty Islands7999912Oceanic Snares Islands7999913Snares Islands7999914Oceanic Antipodes Islands7999915Antipodes Islands7999916Ross DependencyDigital boundary data became freely available on 1 July 2007.
This dataset is the definitive version of the annually released statistical area 1 (SA1) boundaries as at 1 January 2022 as defined by Stats NZ. This version contains 29,913 SA1s,
Stats NZ
Geospatial Team
Stats NZ
0508 525 525
geography@stats.govt.nz
https://datafinder.stats.govt.nz/
owner
Downloadable Data
Statistical Area 1
statistical area 1
SA1
SA 1
sa1
2022
Stats NZ
Creative Commons Attribution 4.0 International (CC BY 4.0)
vector
eng
utf8
boundaries
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
true
File Geodatabase Feature Class
dataset
SA1s are based on the meshblock pattern.
Non-alignment of meshblock to cadastral boundaries is 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, including the 2022 SA1 pattern, were dissolved using the dissolve tool in the Arc GIS suite.