Lay summary
Official statistics agencies employ disclosure risk procedures on publicly accessible official data to mitigate the risk of disclosing individually identifiable information. While these measures have generally minimal impact when numbers are large, when numbers are small, as with specific sub-populations, these procedures may lead to more pronounced changes to counts and calculation results, as well as the suppression of otherwise useful data.
This project focuses on examining and quantifying the impact of these disclosure risk processes on data accuracy and precision when counts are small. This will be executed through use of existing Pacific health and social data using standard demographic and epidemiological analyses.