School of Population Health


Deprivation and Health Geography within New Zealand

Interactive maps of deprivation in New Zealand

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Interactive maps of the IMD show overall deprivation and deprivation by domain in 2013 for 5,958 small areas in New Zealand called data zones. These neighbourhood-level data zones range in population from 500 to 1000 (mean 712), with the exception of one data zone representing all of Stewart Island (total population of 384) and 10 large data zones with populations between 1,381 and 1,899 (mostly comprising a single meshblock). The interactive maps allow users to zoom into areas of interest, compare neighbourhoods, and explore different domains of deprivation, or to filter by a particular level of deprivation or by DHB, General Electoral District or Territorial Authority.

The maps show overall IMD deprivation, 7 domains of deprivation (Employment, Income, Crime, Housing, Health, Education and Access to services), and overall IMD deprivation with one domain removed. Each data zone in New Zealand receives a rank from 1 (the least deprived) to 5,958 (the most deprived).

Single map This interface includes a map, a histogram, a line plot and tables. Users can explore the IMD and its domains at the data zone level or they can filter by DHB, General Electoral District or Territorial Authority. Also available are smoking rates, age group, gender and ethnicity from the 2013 census.
Double map This interface is suitable for side by side mapping, for example to compare two different domains of deprivation. It includes two maps, each with a histogram, a line plot and tables. Users can explore the IMD and its domains at the data zone level or they can filter by DHB, General Electoral District or Territorial Authority. Also available are smoking rates, age group, gender and ethnicity from the 2013 census.
Statistics New Zealand Disclaimer

The results in this paper are not official statistics, they have been created for research purposes from the Integrated Data Infrastructure (IDI), managed by Statistics New Zealand. The opinions, findings, recommendations, and conclusions expressed in this paper are those of the author(s) not Statistics NZ or the University of Auckland. Access to the anonymised data used in this study was provided by Statistics 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, or organisation and the results in this paper 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. Further detail can be found in the Privacy impact assessment for the Integrated Data Infrastructure available from www.stats.govt.nz.

The results are based in part on tax data supplied by Inland Revenue to Statistics NZ under the Tax Administration Act 1994. This tax data must be used only for statistical purposes, and no individual information may be published or disclosed in any other form, or provided to Inland Revenue for administrative or regulatory purposes. 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.