Geospatial Team (for geographies), Census 2018 Team (for data)
Organisation Name
Stats NZ
Contact Info
Contact
Phone
Telephone
Voice
0508 525 525 (toll-free within New Zealand)
Voice
+64 4 931 4600 (from outside New Zealand)
Address
Address
Electronic Mail Address
geography@stats.govt.nz
Electronic Mail Address
info@stats.govt.nz
Online Resource
Online Resource
Linkage
URL
https://datafinder.stats.govt.nz
Role
Role Code
owner
Date Stamp
Date
2020-05-21
Metadata Standard Name
ISO 19139 Geographic Information - Metadata - Implementation Specification
Metadata Standard Version
2007
Spatial Representation Info
Vector Spatial Representation
Topology Level Code
geometryOnly
Geometric Object Type Code
composite
Integer
29889
Reference System Info
Reference System
Reference System Identifier
Identifier
Code
2193
Code Space
EPSG
Version
8.6.2
Identification Info
Data Identification
Citation
Citation
Title
2018 Census Household total New Zealand by Statistical Area 1
Date
Presentation Form
Presentation Form Code
mapDigital
Abstract
This household dataset is displayed by statistical area 1 geography and contains information on:Total households; Tenure of household; Sector of landlord; Weekly rent paid by household, including median weekly rent paid by household; Number of motor vehicles; Access to telecommunication systems (total responses). This dataset contains counts at statistical area 1 for selected variables from the 2018, 2013, and 2006 censuses. The geography corresponds to 2018 boundaries. 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, and values of ‘-997’ indicate data not collected. For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for household, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.
Purpose
This dataset contains counts at statistical area 1 for selected variables from the 2018, 2013, and 2006 censuses. The geography corresponds to 2018 boundaries.
Credit
Stats NZ
Point Of Contact
Responsible Party
Individual Name
Geospatial Team (for geographies), 2018 Census team (for data)
Organisation Name
Stats NZ
Contact Info
Contact
Phone
Telephone
Voice
0508 525 525 (toll-free within New Zealand)
Voice
+64 4 931 4600 (from outside New Zealand)
Address
Address
Electronic Mail Address
geography@stats.govt.nz
Electronic Mail Address
info@stats.govt.nz
Online Resource
Online Resource
Linkage
URL
https://datafinder.stats.govt.nz
Role
Role Code
owner
Resource Maintenance
Maintenance Information
User Defined Maintenance Frequency
TM _ Period Duration
5 yearly
Descriptive Keywords
Keywords
Keyword
Downloadable Data
Descriptive Keywords
Keywords
Keyword
2018 Census
Keyword
New Zealand
Keyword
Stats NZ
Keyword
household
Keyword
Statistical Area 1
Keyword
SA1
Resource Constraints
Constraints
Use Limitation
Creative Commons Attribution 4.0 International (CC BY 4.0)
Spatial Representation Type Code
vector
Language
Language Code
eng
Character Set
Character Set Code
utf8
Topic Category Code
boundaries
Topic Category Code
society
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959
StatsNZ combined data from the census forms with administrative data to create the 2018 Census dataset, which meets Stats NZ’s quality criteria for population structure information.
StatsNZ added real data about real people to the dataset where we were confident the people should be counted but hadn’t completed a census form. We also used data from the 2013 Census and administrative sources and statistical imputation methods to fill in some missing characteristics of people and dwellings.
An independent panel of experts has assessed the quality of the 2018 Census dataset. The panel has endorsed Stats NZ’s overall methods and concluded that the use of government administrative records has improved the coverage of key variables such as age, sex, ethnicity, and place. The panel’s Initial report of the 2018 Census External Data Quality Panel (September 2019) assessed the methodologies used by Stats NZ to produce the final dataset, as well as the quality of some of the key variables. https://www.stats.govt.nz/reports/initial-report-of-the-2018-census-external-data-quality-panel
Its second report, 2018 Census External Data Quality Panel: Assessment of variables (December 2019) assessed an additional 31 variables. https://www.stats.govt.nz/reports/2018-census-external-data-quality-panel-assessment-of-variables.
In its third report, Final report of the 2018 Census External Data Quality Panel (February 2020), the panel made 24 recommendations, several relating to preparations for the 2023 Census. https://www.stats.govt.nz/reports/final-report-of-the-2018-census-external-data-quality-panel
Along with this report, the panel, supported by Stats NZ, produced a series of graphs summarising the sources of data for key 2018 Census individual variables, 2018 Census External Data Quality Panel: Data sources for key 2018 Census individual variables. https://www.stats.govt.nz/reports/2018-census-external-data-quality-panel-data-sources-for-key-2018-census-individual-variables
2018 Census data user guide provides information about collecting, processing, interpreting, and ways of using 2018 Census data. https://www.stats.govt.nz/methods/2018-census-data-user-guide
Statistical Area 1s 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, including the 2018 Statistical Area 1 pattern, were dissolved using the dissolve tool in the Arc GIS suite.
