Age and income in 2001 by TALB2013

Stats NZ / GIS
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Creative Commons Attribution 3.0 New Zealand

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915
9
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

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You must attribute the creator in your own works.

2329
21
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.

390
24
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
Licence

Creative Commons Attribution 3.0

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2706
49
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, 2014-17, by TALB Cartogram

Stats NZ / GIS
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Creative Commons Attribution 4.0 International

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124
3
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
Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1623
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 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.

2133
7
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

NEET 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.

2346
14
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 87768
Data type Vector multipolygon
Feature count 65
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 Higher Geographies 2018 (generalised)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

1801
17
Updated
22 May 2018

This dataset was last updated on Stats NZ Geographic Data Service on 22 May 2018.

This dataset is the definitive version of statistical area 2 (SA2) boundaries concorded to higher geographies as at 1 January 2018 as defined by Stats NZ.
This version contains 2,253 SA2s. This statistical area 2 higher geographies file is a correspondence, or concordance, which relates SA2s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: territorial authority (TA) and regional council (REGC).
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.
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.

Please note that a review of SA2 names was undertaken in early 2018. The review addressed issues with inconsistent naming and applied corrections, resulting in an update to this dataset applied in May 2018. All SA2 codes are unchanged.

Layer ID 95065
Data type Vector multipolygon
Feature count 2253 (incl. 16 with empty or null geometries)
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Statistical Area 2 Higher Geographies 2018 Clipped (generalised)

Stats NZ / GIS
Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

1195
50
Updated
26 Apr 2019

This dataset was last updated on Stats NZ Geographic Data Service on 26 Apr 2019.

This dataset is the definitive version of statistical area 2 (SA2) boundaries concorded to higher geographies as at 1 January 2018 as defined by Stats NZ, clipped to the coastline.
This version contains 2,171 SA2s and has been created for map creation/cartographic purposes and does not fully represent the official full extent boundaries. This statistical area 2 higher geographies file is a correspondence, or concordance, which relates SA2s to larger geographic areas or 'higher geographies'. The higher geographies contained in this concordance are: territorial authority (TA) and regional council (REGC).
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.
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.

Please note that a review of SA2 names was undertaken in early 2018. The review addressed issues with inconsistent naming and applied corrections, resulting in an update to this dataset applied in May 2018. All SA2 codes are unchanged.

Layer ID 95066
Data type Vector multipolygon
Feature count 2171
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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