Watch out for a new experimental data series of income estimates, and updates for population estimates – both coming soon on Stats NZ’s Innovation site.

Data users are encouraged to visit the site to explore and provide feedback on new ideas and initiatives. The experimental data series we publish are part of Stats NZ’s drive to make better use of administrative data and the Integrated Data Infrastructure (IDI).

We are updating the experimental population estimates from linked administrative data released in October 2016 (referred to as the IDI- Estimated Resident Population or IDI-ERP). Estimates for territorial authorities and Auckland local board areas by five-year age group and sex will be available for the first time. The IDI-ERP provides population estimates derived from linked administrative data and compares these with the official population estimates.

These estimates of the resident population can serve as the basis to describe other characteristics or attributes of this population gained from administrative information. The new experimental data series starts to do this by providing experimental income estimates, also derived from linked administrative data in the IDI. Income estimates were produced for those people identified as being in IDI-ERP. The income information can be broken down by age, sex, territorial authority, and income source. Another experimental series including population estimates by ethnic group will be released later in 2017.

Stats NZ continue to publish official statistics about income. These are available from the Income page on the Stats NZ website. Check out the User guide for Statistics New Zealand’s wage and income measures to help you identify the most appropriate measure for your needs.

Both experimental series will be accompanied by technical reports.

We encourage you to send your feedback on both initiatives, through the Innovation site. Your comments will help us determine whether these experimental IDI population and income estimates better meet user needs in terms of detailed geographic breakdown, flexibility, and accuracy.

25 September 2017