A family violence intervention order is meant to be a line that can’t be crossed. In the year to June 2026, Victoria Police recorded 29,107 criminal incidents where breaching one was the main offence. That is 54% more than in 2017. Those breaches are not spread evenly: per person, they fall far more heavily on regional Victoria.
Content note: this report discusses family violence. Support is listed at the end.
Source: Crime Statistics Agency (2026a), Tables 01 and 02. Breaches counted where “breach family violence order” (CSA subgroup E21) was the principal offence of an incident. Rates use population back-calculated from CSA rates. Metro means the 31 metropolitan Melbourne councils; every other LGA is regional.
Source: Crime Statistics Agency (2026a), Tables 01–03; boundaries from Australian Bureau of Statistics (2022). 20 of the 20 highest-rate LGAs are regional. Latrobe, Benalla and East Gippsland each record more than 1,200 breaches per 100,000 people, roughly four times the metro average.
In family incident records, the affected family member is the person the police consider at risk, and the other party is the person whose behaviour prompted police contact. The age and sex profiles of the two groups look very different.
Source: Crime Statistics Agency (2026b), Tables 02–05. Counts exclude people whose age or sex was unknown, and LGAs where the CSA suppressed data for confidentiality. “Other party” is a police record category, not a finding of guilt.
Source: Crime Statistics Agency (2026a), Tables 01 and 02. Only LGAs with at least 50 breach incidents in 2026 are shown, because rates for very small populations can swing wildly from year to year.
In 2017, a person in regional Victoria was 1.9 times as likely to live in an area where family violence orders were broken. By 2026 that figure was 2.1 times.
The places pulling away are mostly regional centres and the towns around them, such as Gippsland, the north-east, the Mallee and the Wimmera. These are areas with longer distances to courts, police stations and specialist services, and fewer places to go. An intervention order is only as strong as the system that enforces it, and outside Melbourne that system appears to be under the most strain.
Limitations. These are recorded incidents. They reflect reporting and police activity as well as offending, so a rise can partly mean better detection. Rates in small LGAs are volatile. The metro/regional split follows the 31 metropolitan council boundaries.
If this affects you: call 1800RESPECT on 1800 737 732 (24/7), or Safe Steps on 1800 015 188 (Victoria, 24/7). In an emergency, call 000.
Anthropic. (2026). Claude (Opus 5.5) [Large language model]. https://claude.ai
Australian Bureau of Statistics. (2022). Australian Statistical Geography Standard (ASGS) Edition 3: Local government areas [Data set]. https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026
Crime Statistics Agency. (2026a). Criminal incidents by local government area: Year ending June 2026 [Data set]. https://files.crimestatistics.vic.gov.au/2026-09/Data_Tables_LGA_Criminal_Incidents_Year_Ending_June_2026.xlsx
Crime Statistics Agency. (2026b). Family incidents by local government area: Year ending June 2026 [Data set]. https://files.crimestatistics.vic.gov.au/2026-09/Data_Tables_LGA_Family_Incidents_Year_Ending_June_2026.xlsx
Mackey, W. (n.d.). absmapsdata: A catalogue of ready-to-use ASGS (and other) sf objects [R package]. GitHub. https://github.com/wfmackey/absmapsdata
Sievert, C. (2020). Interactive web-based data visualization with R, plotly, and shiny. Chapman and Hall/CRC. https://plotly-r.com
Victorian Government. (n.d.). Metropolitan Melbourne. https://liveinmelbourne.vic.gov.au/discover/melbourne-victoria/metropolitan-melbourne
I used Claude (Opus 5.5; Anthropic, 2026), a generative AI tool, for limited assistance with brainstorming ideas, clarifying R syntax, and troubleshooting minor coding issues. All data analysis, visualisation development, interpretation, and verification were completed independently, with figures checked against the Crime Statistics Agency data tables.
Map boundaries were obtained from the absmapsdata repository (Mackey, n.d.). Interactive visualisations were developed using plotly (Sievert, 2020), leaflet, and crosstalk in R, with colours based on the Okabe-Ito colour-blind-safe palette and viridis “magma”.