Whole Population Data Analysis

We analyse data from the entire New Zealand population to understand health and social functioning.

COMPASS pioneered census microdata access through Statistics New Zealand's datalab in 2005, with a large project examining trends in family wellbeing. We went on to publish reports supporting other researchers in their use of census data sets, and continued to push the envelope with what Statistics New Zealand let researchers do with their data, extracting high-level tables for simulation outside the datalab, and being closely involved when projects for remote access to the datalab came to light as early as 2008.

More recently we have worked a lot with the New Zealand Longitudinal Census, including creating weights to correct for biases in the representation of different groups in society, and have moved on to linking in other data sets through the Integrated Data Infrastructure.


A small segment of the population with a high concentration of service use

We aim to test the hypothesis that the cost of public health and social services is concentrated in a relatively small proportion of the New Zealand population who use multiple public sectors at a high frequency. We will also test to test whether concentration varies by type of service, sex, and age/birthyear.

Residential mobility and health

Work looking at the interplay between residential mobility, deprivation, age, personal socioeconomic circumstance, and health outcomes.

A Better Start National Science Challenge: E Tipu E Rea

We use data in Statistics New Zealand's Integrated Data Infrastructure to find better ways to predict, prevent, and treat obesity, learning, and mental health problems in children and teenagers.

Child Poverty: Health Consequences, Costs, and Policy Interventions

What is the effect of child poverty on health? Which aspects of poverty dynamics have the greatest impact on health outcomes? We use data from the Survey of Family, Income, and Employment to investigate how to reduce the impact of child poverty.

Application of "Big Data" Analytic Techniques to Identify New Risk Factors for Sudden Unexplained Death in Infancy

We use data from Statistics New Zealand's Integrated Data Infrastructure to investigate links between Sudden Unexplained Death in Infancy and contact with mental health services, and further by demographic and environmental risk factors.

Vulnerable Children: An Investment Approach

What indicators suggest poor childhoods? What childhood indicators suggest poor life outcomes? What are the life experiences of those that were "vulnerable children"? We examine these concepts in a microsimulation tool enabling testing of policy scenarios.

Life-Course Predictors of Mortality Inequalities

We link data from the New Zealand Longitudinal Census to mortality records, to investigate associations between socioeconomic status and mortality, and the protective effects of social and cultural capital.



Language Use

We work with Louisa Buckingham in Applied Language Studies and Linguistics, using New Zealand Census and Longitudinal Census data to track and investigate the experiences of cohorts of people speaking the most common non-official languages.

New Zealand Index of Multiple Deprivation

We work with researchers from the School of Population Health, using 2013 Census data to create indicators of deprivation in a number of aspects of life, all contributing to an overall new scale of region-based deprivation.

Te Kaha o Nga Rangatahi ki Tamakimakaurau

We work with the Independent Māori Statutory Board, using data from Statistics New Zealand's Integrated Data Infrastructure to produce baseline measures of wellbeing for Māori in Auckland.

New Zealand Socioeconomic Index

We use New Zealand Census data to update this occupation-based measure of socioeconomic status, as the data from each census become available. This was first done for the 1991 and 1996 Censuses, and updates so far have been for 2006 and 2013.

Informing Tribal Activity and Investment through Scientific Reporting

We work with Te Rūnanga o Ngāi Tahu, using New Zealand Census and Longitudinal Census data to describe the Ngāi Tahu population over time, as captured by the census since 1991, and backcasted to 1981 via the Longitudinal Census.

Enhancing Hospital Outcomes

We work with the Health Services Research Centre, using data from the National Minimum Data Set to describe public hospital events from 2001–2009, with focuses on ambulatory sensitive events, post-discharge death rates, and comorbidities.

Changing Pacific Household Composition and Wellbeing, 1981–2006

We use New Zealand Census data to extend our work on family wellbeing to consider Pacific families and households specifically, defined based on the presence of at least one Pacific adult.

Family Whānau and Wellbeing Project

We use New Zealand Census data to create a set of indicators of wellbeing at the family level. These are summarised for the entire population, and the project leads to expansions to consider specific groups - Māori, Pacific, Ngāi Tahu, and more.