VIC DELWP - Victoria in Future 2016 - ERP by 5-year Age Groups and Sex (LGA) 2011-2031

Dataset extent


This dataset is the 2016 release of the Victoria in Future series of data and presents Estimated Residential Population (ERP) data by 5-year age groups and sex for the state of Victoria. The data is presented in 2011 Local Government Area (LGA) boundaries and covers each fifth year for the years 2011 to 2031.

The Victoria in Future series is a projection of the ERP for LGAs and Victoria in Future Small Areas (VIFSA) for 2011 to 2031. Some data areas are available for individual years and some for every fifth year in the projection period. The first year for each dataset within the series is 2011. Where available, the latest Australian Bureau of Statistics (ABS) data is used for the years 2012 to 2015.

Data are available for Estimated Resident Population (ERP - the official total population), population by age and sex (for single years of age in some cases, otherwise for five-year age groups), households and dwellings (including average household sizes and dwelling occupancy rates).

Victoria in Future 2016 population projections are not predictions of the future, nor are they targets. They analyse changing economic and social structures and other drivers of demographic trends to indicate possible future populations if the present identified demographic and social trends continue. Projections are based exclusively on demographic components at the state and regional level, while local level projections take account of current and future land use, dwelling capacity, and development opportunities in addition to local demographic factors.

For more information please visit the DELWP VIF Portal.


  • AURIN has spatially enabled the original data.

  • These detailed projections replace the projections published in Victoria in Future 2015 (based on the 2011 Census) issued by the Department of Transport, Planning and Local Infrastructure (DTPLI).

  • The base year for the calculation of VIF2016 projections is 2015 (as at 30 June), the most recent year for which the ABS has published the Estimated Resident Population (ERP) for both Victoria and for LGAs.

  • The data tables have been condensed to one dataset to allow longitudinal analysis of the data through year-period filters.


Additional Info

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Field Value
Last Updated July 4, 2023, 02:13 (UTC)
Created July 4, 2023, 02:03 (UTC)
ADP ID datasource-VIC_Govt_DELWP-UoM_AURIN_DB:delwp_vif_erp_5_year_age_groups_sex_lga_2011_31
Access Level Open Access
Aggregation Level lga2011
Attribute List Females, Females aged 0-4, Females aged 10-14, Females aged 15-19, Females aged 20-24, Females aged 25-29, Females aged 30-34, Females aged 35-39, Females aged 40-44, Females aged 45-49, Females aged 5-9, Females aged 50-54, Females aged 55-59, Females aged 60-64, Females aged 65-69, Females aged 70-74, Females aged 75-79, Females aged 80-84, Females aged 85 And Over, Geometry, LGA Code 2011, LGA Name 2011, Males, Males aged 0-4, Males aged 10-14, Males aged 15-19, Males aged 20-24, Males aged 25-29, Males aged 30-34, Males aged 35-39, Males aged 40-44, Males aged 45-49, Males aged 5-9, Males aged 50-54, Males aged 55-59, Males aged 60-64, Males aged 65-69, Males aged 70-74, Males aged 75-79, Males aged 80-84, Males aged 85 And Over, Persons, Persons aged 0-4, Persons aged 10-14, Persons aged 15-19, Persons aged 20-24, Persons aged 25-29, Persons aged 30-34, Persons aged 35-39, Persons aged 40-44, Persons aged 45-49, Persons aged 5-9, Persons aged 50-54, Persons aged 55-59, Persons aged 60-64, Persons aged 65-69, Persons aged 70-74, Persons aged 75-79, Persons aged 80-84, Persons aged 85 And Over, Unique Identifier, Year
Attribution Government of Victoria - Department of Environment Land Water and Planning, (2016): VIC DELWP - Victoria in Future 2016 - ERP by 5-year Age Groups and Sex (LGA) 2011-2031; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Government of Victoria - Department of Environment Land Water and Planning 2016
Geometry Field wkb_geometry
Key lga_code
Type dataset
spatial {"type": "Polygon", "coordinates": [[[140.96, -39.16], [149.98, -39.16], [149.98, -33.98], [140.96, -33.98], [140.96, -39.16]]]}