2018 Census dataset interim coverage and composition

Stats NZ / GIS
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Creative Commons Attribution 4.0 International

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262
8
Added
01 Oct 2019

This dataset was first added to Stats NZ Geographic Data Service on 01 Oct 2019.

This dataset is the proportion of people in the 2018 Census dataset and data sources used to count them by territorial authority / local board (TALB) geography. Coverage compares the proportion of people counted in the census with the number of people that should have been counted on census night. It is usually expressed as a percentage. We are using interim coverage at this time, with the official post-enumeration survey (PES) coverage rates for the 2018 Census being published by March 2020. The dataset shows that whilst there is variation across territorial authority / local board areas in the proportions of people we counted (from 96.3 to >100%), the interim coverage rates for local areas are generally very high.

Understanding how we counted people will help you to use the census dataset because it provides more information about the data sources used and the composition of the data in terms of the proportion of:

  1. census individual forms received.

  2. partial census form responses (via the paper dwelling form or online household summary form but did not receive an individual form for the person).

  3. admin enumerations (the use of administrative data to add people to the usually resident census population when a census response has not been received).

The higher the proportion of census forms received, the more robust the characteristic data, for example income, occupation, will be within the dataset for variables. This is especially the case where characteristic information cannot be provided from alternative sources such as historic census data, administrative data or imputation.

A csv version of this table is also available (attachment below).

Table ID 103922
Data type Table
Row count 87
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census occupied and unoccupied private dwellings by Territorial Authority and Auckland Local Board Areas

Stats NZ / GIS
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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

228
12
Added
27 Sep 2019

This dataset was first added to Stats NZ Geographic Data Service on 27 Sep 2019.

This dataset contains occupied and unoccupied private dwelling counts from the 2006, 2013, and 2018 Censuses, with percentage changes between the 2013 2018 Censuses, by territorial authority and Auckland local board areas.

These territorial authority and Auckland local board area boundaries extend to the 12 mile limit and are as at 1 January 2018, for further information see Territorial Authority Local Board 2018 (generalised).

This data uses fixed random rounding to protect confidentiality, for further information see 2018 confidentiality rules.

For further information see the attachments below: Information about the data (2018 census private dwellings by TALB2018), 2018 census private dwellings by TALB2018 lookup, 2018 Census private dwellings by TALB2018.

Layer ID 103906
Data type Vector multipolygon
Feature count 88
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census usually resident population and age groups by Territorial Authority and Auckland Local Board Areas

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

202
14
Added
27 Sep 2019

This dataset was first added to Stats NZ Geographic Data Service on 27 Sep 2019.

This dataset contains census usually resident population counts from the 2006, 2013, and 2018 Censuses by territorial authority and Auckland local board areas. It contains counts by age group for the 2006, 2013, and 2018 Censuses, and percentage changes between the 2013 and 2018 Censuses.

The life-cycle age groups are: under 15 years, 15 to 29 years, 30 to 64 years, and 65 years and over.

These territorial authority and local board area boundaries extend to the 12 mile limit and are as at 1 January 2018, for further information see Territorial Authority Local Board 2018 (generalised).

This data uses fixed random rounding to protect confidentiality, for further information see 2018 confidentiality rules.

For further information see the attachments below: Information about the data (2018 census population age groups by TALB2018), 2018 census population age groups by TALB2018 lookup, 2018 census population age groups by TALB2018

Layer ID 103903
Data type Vector multipolygon
Feature count 88
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Age and income in 2001 by TALB2013

Stats NZ / GIS
Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

949
26
Added
23 May 2017

This dataset was first added to Stats NZ Geographic Data Service on 23 May 2017.

Layer ID 64336
Data type Vector multipolygon
Feature count 88
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Age and income in 2006 by TALB2013

Stats NZ / GIS
Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3716
30
Added
23 May 2017

This dataset was first added to Stats NZ Geographic Data Service on 23 May 2017.

Layer ID 64335
Data type Vector multipolygon
Feature count 88
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Age and income in 2013 by TALB2013

Stats NZ / GIS
Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

426
179
Added
23 May 2017

This dataset was first added to Stats NZ Geographic Data Service on 23 May 2017.

Layer ID 64334
Data type Vector multipolygon
Feature count 88
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

Stats NZ / GIS
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Creative Commons Attribution 3.0

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4304
60
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

Internal migration, year ended June 2017, by TALB Cartogram

Stats NZ / GIS
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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

3313
27
Added
14 Aug 2018

This dataset was first added to Stats NZ Geographic Data Service on 14 Aug 2018.

In New Zealand, internal migration is typically the most difficult component of net migration’s contribution to subnational population change to measure. Internal migrants are not required to register their moves with any agency. The five-yearly census of population and dwellings has included a question on “usual residence five years ago” since 1971, which has been the authoritative data source for measuring internal migration. However, the infrequency of the collection (every five years), and the ‘snapshot’ nature of a transition-based measure are significant limitations. Other measures of annual subnational population change, such as the Treasury’s Insights tool, provide estimates of internal migration flows between TAs by using linked administrative data. Their approach identifies a set of decision rules for assigning location to individuals, based on a quality assessment of a wide range of address sources in the IDI (Where we come from, where we go). The TA location transitions provide the basis for deriving statistics of annual internal migration as demonstrated by the Insights tool. The data published with this report is the first series we’ve created by estimating all internal migration flows using a movement-based approach. From individuals’ unique address notification histories in key data sources, the paired origin and destination locations defined individuals’ movements. Traditionally, we combined change of address data from a range of administrative sources with other information on international migration to produce estimates of net migration for broad subnational areas. Now, we can derive direct estimates of movements from address histories from the anonymised unit record information of address notifications in the IDI. This gives a better understanding of people’s movements within New Zealand. Internal migration information is of great interest to local and central government, businesses, and communities. Churn and turnover of populations at local area level is one of the contributors of subnational population change, in both size and characteristics.

Read the full report here: www.stats.govt.nz/reports/internal-migration-estim...

Layer ID 95675
Data type Vector point
Feature count 88
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

NEET Mothers by Territorial Authority 2015

Stats NZ / GIS
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Creative Commons Attribution 3.0 New Zealand

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1656
10
Added
27 Jul 2017

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

This dataset contains counts and rates of young people aged 15–24 years who were not in employment, education, or training (NEET) during the 2015 calendar year. The report containing maps of this data can be found at www.stats.govt.nz/about_us/what-we-do/partnerships....
The data was provided by the Integrated Data Infrastructure (IDI) which brings together a wide range of data from government administrative sources and surveys.
Disclaimer
Any person who has had access to the unit-record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy.
Access to the anonymised data used in this study was provided by Stats NZ in accordance with security and confidentiality provisions of the Statistics Act 1975.
Only people authorised by the Statistics Act 1975 are allowed to see data about a particular person, household, business and or organisation and the results in these tables have been confidentialised to protect these groups from identification.
Careful consideration has been given to the privacy, security and confidentiality issues associated with using administrative and survey data in the IDI.
Any person who has had access to the unit-record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy.
Any discussion of data limitations or weaknesses is in the context of using the IDI for statistical purposes, and is not related to the data's ability to support Inland Revenue's core operational requirements.
Values of -999 are supressed to protect confidentiality.
Citation
Stats NZ (2017). Otago youth not in employment, education, or training (NEET): Collaborative research between Stats NZ Methodist Mission Southern using integrated data. Retrieved from www.stats.govt.nz.

Layer ID 87796
Data type Vector multipolygon
Feature count 66
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

NEET Pacific Island Youths by Territorial Authority 2015

Stats NZ / GIS
Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3490
9
Added
27 Jul 2017

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

This dataset contains counts and rates of young people aged 15–24 years who were not in employment, education, or training (NEET) during the 2015 calendar year. The report containing maps of this data can be found at www.stats.govt.nz/about_us/what-we-do/partnerships....
The data was provided by the Integrated Data Infrastructure (IDI) which brings together a wide range of data from government administrative sources and surveys.
Disclaimer
Any person who has had access to the unit-record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy.
Access to the anonymised data used in this study was provided by Stats NZ in accordance with security and confidentiality provisions of the Statistics Act 1975.
Only people authorised by the Statistics Act 1975 are allowed to see data about a particular person, household, business and or organisation and the results in these tables have been confidentialised to protect these groups from identification.
Careful consideration has been given to the privacy, security and confidentiality issues associated with using administrative and survey data in the IDI.
Any person who has had access to the unit-record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy.
Any discussion of data limitations or weaknesses is in the context of using the IDI for statistical purposes, and is not related to the data's ability to support Inland Revenue's core operational requirements.
Values of -999 are supressed to protect confidentiality.
Citation
Stats NZ (2017). Otago youth not in employment, education, or training (NEET): Collaborative research between Stats NZ Methodist Mission Southern using integrated data. Retrieved from www.stats.govt.nz.

Layer ID 87767
Data type Vector multipolygon
Feature count 65
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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