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IDI Search is a web app that allows researchers to search for variables that are available in the IDI and, in some cases, metadata about these variables. The app uses data from IDI variables and Data Dictionaries shared with us by Stats NZ. The data are stored in a database which can then be searched using the web app.
Funded by: Ministry of Business, Innovation & Employment Endeavour Fund
Grant number: 62506 ENDRP
This project was initially funded by an MBIE Endeavour Fund grant, with further development carried out by iNZight Analytics. Ongoing resourcing from 2025 is provided by Stats NZ.
Calculating and comparing health or social statistics for populations can be tricky, time consuming and usually requires advanced statistical skills.Mātau is an easy to learn tool that enables rapid calculation and comparison of robust population statistics without additional software or specialist statistical skills. No statistical calculation or coding are required to produce tables, graphs and even maps.
Funded by: iNZight Analytics
It can be used for any outcome statistics in any geographical area or time period using either aggregate data (counts) or unit record file data. Comparisons can be made between population outcomes over time, between regions or by ethnicity, age or sex. Pull down menus and interactive graphics are used to producing statistically robust calculations and comparisons including confidence intervals. Multiple options for analysis can be selected from the menu if required but the default setting on menus is the standard approach allowing Mātau produces results in the form of tables, graphs and maps with all output exportable in multiple formats so they can be easily included in offline reports.
An early version of Mātau was used for estimation of regional ethnic- and age-specific COVID-19 outcomes near the beginning of the pandemic in early 2020, and presented to the New Zealand Government for policymaking. The Mātau app is currently being redeveloped using updated Ministry of Health data.
There is an expressed need of Māori providers and communities for high quality, localised information that can be used to inform and monitor interventions to improve key Maori health outcome measures. Te Hao Nui is a longitudinal study that will link together the data from Te Kupenga, the Integrated Data Infrastructure (IDI), and the Longitudinal Census Database to create the world’s largest and most comprehensive indigenous longitudinal study capable of following individual pathways forwards and backward in time.
Funded by: Health Research Council
Grant number: 18/849
The study entirely draws on previously collected administrative data, no new data are collected as part of this project.
Focusing on informing local interventions and policy, this project will transform national statistics into locally accessible information linked into service delivery planning and evaluation at the iwi, rohe as well as at the regional level.
Linking into existing iwi and regional Māori development plans, this project will produce information that will immediately inform the delivery of services and interventions to improve rangatahi wellbeing.
It will additionally create a permanent resource within the official statistics system that can be used for research, evaluation, and monitoring of rangatahi well-being on an on‐going basis.
iNZight is a free and accessible statistical visualisation software. Founded by Chris Wild of the University of Auckland, development of iNZight is now lead by Tom Elliott of iNZight Analytics.
The software was initially designed for New Zealand high schools, allowing students to quickly and easily explore data and understand basic statistical ideas using the companion program VIT. However, iNZight now extends to multivariable graphics, time series, and generalised linear modelling, including modelling of data from complex surveys.
iNZight is free. That means you can download and use it however you want, for whatever you want. There are absolutely no restrictions. You can download for yourself or redistribute it. You can even modify it if you are so inclined! However, it is important to note that iNZight comes with absolutely no warranty.
Using data from Statistics New Zealand’s Integrated Data Infrastructure (IDI), this research examines life outcomes for autistic Māori across key areas, and seeks to identify associated patterns of government service use and costs.
Hosted by: The University of Otago
This project involved building whanaungatanga and capacity amongst members of the research team to establish a group with the skills to conduct future large-scale, Kaupapa Māori autism research using the Statistics New Zealand Integrated Data Infrastructure [IDI], and conducting exploratory analysis using the IDI to identify autistic tamariki and rangatahi Māori.
Funded by: The Health Research Council of New Zealand (HRC)
Grant number: HRC 23/642
Hosted by: Victoria University of Wellington
A quick guide to understanding political polling in New Zealand, this booklet outlines how polls work, aspects of polls that speak to their quality, including sample size, error, and sampling methods, and how polls relate to actual party representation in parliament.
Funded by: iNZight Analytics
Public opinion polling is an important tool for understanding how a population feels about a particular issue, or which political parties they would vote for. But which details about a poll matter, and why?
This guide offers a brief overview of what information to look out for about a poll, and why this information should be transparent. It outlines how polls work, aspects of polls that speak to their quality, including sample size, error, and sampling methods, and how polls relate to actual party representation in parliament. Journalists reporting on a poll should report information on each of these features as they give important information to evaluate the reliability of the poll results.
If you’d like more information about each of these points, and political polling in the New Zealand context, please consult the accompanying detailed guide, accessible at https://inzight.co.nz/apps/polling-guide.