c6e6e42d-1e27-4fd2-a928-398ccc70719e urn:uuid en UTF-8 nonGeographicDataset nonGeographicDataset 2025-07-31T17:59:00 creation ISO 19115 2016 NATSEM - Social and Economic Indicators - Synthetic Estimates SA2 2016 c6e6e42d-1e27-4fd2-a928-398ccc70719e This dataset presents the synthetically modeled indicators of the population in 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 produced by the spatial micro-simulation model (SpatialMSM) are: median income, equivalised disposable median income, Gini coefficient and housing stress. The data has been provided by The National Centre for Social and Economic Modelling (NATSEM). NATSEM's spatial micro-simulation model uses a technique that takes a survey and re-weights it to small area Census data. SpatialMSM18F is the application of the NATSEM Spatial Micro-simulation model using the ABS Survey of Income and Housing 2015/2016 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. For more information please view the NATSEM Technical Report. Please note: AURIN has spatially enabled the original data provided directly from NATSEM. Where data values are NULL, the data is either unpublished or not applicable mathematically. The treatment of Not Stated and Overseas Visitor data is to exclude them from both the numerator and the denominator. 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. {"type": "Polygon", "coordinates": [[[96.81, -43.75], [159.11, -43.75], [159.11, -9.14], [96.81, -9.14], [96.81, -43.75]]]} 96.81 159.11 -43.75 -9.14 Australia economic indicators model sa2 social socio economic synthetic AURIN Download Manager documentDigital Download this dataset via the AURIN Download Manager HTML