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VIC CSA - Family Violence - Family Incident Rate (LGA) July 2013-June 2018

This dataset presents the footprint of the rates of family incidents retrieved from Victoria Police. The data spans the financial years in the period of July 2013 to June 2018 and is aggregated to 2011 Australian Statistical Geography Standard (ASGS) Local Government Areas (LGA).

The Victorian Family Violence Database is a repository for a range of different datasets relating to family violence clients and service use, extracted from the data holdings of a variety of government agencies.

The rate of family incidents per 100,000 population is calculated using the count of family incidents recorded in a LGA and the Estimated Resident Population (ERP) of that LGA. The rate is calculated using the following formula: Family Incident Rate = (Number of Family Incidents/ERP count) x 100,000. ERPs are based on populations provided by the Australian Bureau of Statistics (ABS).

For further information about this dataset and related statistics, visit the data source: Crime Statistics Australia:

Please note:

Data and Resources

Additional Info

Field Value
Last Updated December 18, 2020, 04:30 (UTC)
Created July 3, 2019, 04:47 (UTC)
License Creative Commons Attribution 4.0 International (CC BY 4.0)
AURIN Open API ID aurin:datasource-VIC_Govt_CSA-UoM_AURIN_DB_csa_family_violence_family_incident_rate_lga_jul2013_jun2018
Aggregation Level lga2011
Attribute List Family Incident Rate 2013-2014, Family Incident Rate 2014-2015, Family Incident Rate 2015-2016, Family Incident Rate 2016-2017, Family Incident Rate 2017-2018, Geometry, LGA Code, LGA Name, Police Region
Attribution Government of Victoria - Crime Statistics Agency, (2018): VIC CSA - Family Violence - Family Incident Rate (LGA) July 2013-June 2018; accessed from AURIN on [date of access].
Coordinate Ref. System EPSG:4283 (GDA_1994)
Copyright Notice © Government of Victoria - Crime Statistics Agency 2018
Geometry Field wkb_geometry
Key lga_code11
Type dataset
spatial {"type": "Polygon", "coordinates": [[[140.961681984, -39.136740055], [149.976679008, -39.136740055], [149.976679008, -33.9804255865], [140.961681984, -33.9804255865], [140.961681984, -39.136740055]]]}