This dataset presents the synthetically modeled indicators relating to the financials of the population of small regions of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The synthetic indicators are produced by the spatial micro-simulation model (SpatialMSM). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM).
NATSEM’s spatial microsimulation model uses a technique that takes a survey and reweights it to small area Census data. SpatialMSM18 is the application of the NATSEM Spatial Microsimulation model using the Household, Income and Labour Dynamics in Australia (HILDA) dataset, the ABS Housing Expenditure Survey (for financial stress) and the 2016 Census of Population and Housing at the SA2 level (Tanton et al. 2011). All the indicators from the SpatialMSM model are synthetic, so there is some model error as well as other error from the survey. Therefore, they are not as accurate as the Census data used.
Data in this dataset comes from NATSEM's spatial microsimulation model. Estimates are for financial stress, trust and life satisfaction. A description of the model, and validation, can be found in the accompanying NATSEM Technical Report.
Please note:
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AURIN has spatially enabled the original data provided directly from NATSEM.
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Where data values are NULL, the data is either unpublished or not applicable mathematically.
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The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator.
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Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes.