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This interactive tool visualises New Zealand's projected demographic changes from 2018 through 2043, providing insights into both total population and voting-age population trends across national and regional levels.
Some of the features include interactive population pyramids, to explore age and gender distributions; an interactive map, to compare demographic trends across regions; and electoral insights, to examine voting-age populations and new voter estimates.
iNZight is a free and accessible statistical visualisation software. Members of the iNZight Analytics team contribute to its development. It was initially designed for New Zealand high schools, allowing students to quickly and easily explore data and understand some 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).
A tool enabling users to explore how the number and type of Māori electorates change with changes in both the Census population counts and Māori electoral roll enrolment.
The number of electorates in New Zealand is determined by a calculation based on two sources of information — the results from the most recent Census of Population and Dwellings and the proportion of individuals of Māori descent aged over 18 years who have chosen to be listed on the Māori electoral roll.
This tool enables users to explore how the number and type of electorates change with changes in both the Census population counts and the Māori electoral roll enrolment.
Consequently, this tool provides estimates of electorate numbers that are as accurate as possible, but the definitive answer is only possible with access to information that is not publicly available. However, it provides an effective tool to explore the sensitivity of the number and types of electorates to changes in population counts and electoral enrolment.
Funded by: iNZight Analytics
The Māori Electorate Explorer is currently being updated with more recent information.
Managing director Andrew Sporle was part of the initial COVID-19 pandemic modelling team with Te Pūnaha Matatini with a particular focus on equity. He helped to create an early tool that looked at regional outcomes by age and ethnicity if the pandemic continued without public health interventions. The team won the 2020 Prime Minister's Science prize for their work.
Since then Andrew has been involved with further COVID-19 projects, including a project that aims create a population based contagion model for New Zealand (led by Dr Dion O'Neale).
Andrew has also been involved in ESR work exploring genetic subtypes, resulting in the first paper to identify on plane transmission of COVID, and a second workstream demonstrating that the most effective vaccine rollout strategy for Aotearoa was one that prioritised the needs of Māori and Pasifika.
Recently, Andrew has been involved in work around improving access to Māori data from the Ministry of Health.
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.
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.
