In 2024, around 2,570 people were imprisoned for robbery or extortion in Australia. In the previous year, around 2,588 people were imprisoned for the same reason.

In 2024, there were approximately 28.29 thousand non-indigenous prisoners and around 15.87 thousand Aboriginal and Torres Strait Islander prisoners incarcerated across Australia. The number of people imprisoned in Australia has risen considerably in 2017, and dropped slightly in the years after.

In 2024, approximately 3,354 people were imprisoned in Australia for homicide and related offences. The number of people imprisoned for homicide has risen by around 300 people over the past ten years.

Suburb-based crime statistics for crimes against the person and crimes against property. The Crime statistics datasets contain all offences against the person and property that were reported to police in that respective financial year. The Family and Domestic Abuse-related offences datasets are a subset of this, in that a separate file is presented for these offences that were flagged as being of a family and domestic abuse nature for that financial year. Consequently the two files for the same financial year must not be added together. Data is point in time.

Historical dataset showing Australia murder/homicide rate per 100K population by year from 1990 to 2021.

The average for 2017 based on 97 countries was 7.4 homicides per 100,000 people. The highest value was in El Salvador: 61.8 homicides per 100,000 people and the lowest value was in Japan: 0.2 homicides per 100,000 people. The indicator is available from 1990 to 2017. Below is a chart for all countries where data are available.

The United States had, by far, the highest homicide rate of the G7 countries between 2000 and 2023. In 2023, it reached 5.76 homicides per 100,000 inhabitants, a decrease from 6.78 in 2021. By comparison, Canada, the G7 nation with the second-highest homicide rate, had 1.98 homicides per 100,000 inhabitants in 2023. Out of each G7 nation, Japan had the lowest rate with 0.23 homicides per 100,000 inhabitants.

Actual value and historical data chart for Australia Intentional Homicides Per 100 000 People

This report analyses the total number of crimes that are reported in Australia each calendar year. This includes both violent crimes including homicide (murder and manslaughter), assault, sexual assault, robbery and abduction, and non-violent crimes including unlawful entry with intent, motor vehicle theft, blackmail/extortion and other theft (shoplifting, bag snatching, pickpocketing, and bicycle theft). The data for this report is sourced from the Australian Institute of Criminology and the Australian Bureau of Statistics.

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: AURIN has spatially enabled the original data. The data contains information collected by Victoria Police on the L17 Risk Assessment and Risk Management Report.

This dataset presents the footprint of the rates of Affected Family Members (AFMs) of Family Violence Intervention Order (FVIO) applications heard in the Victorian Magistrates' Court, retrieved from Courtlink. 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 AFMs per 100,000 population is calculated using the count of AFMs on original applications in a LGA and the Estimated Resident Population (ERP) of that LGA. The rate is calculated using the following formula: AFM rate = (Number of AFMs/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: AURIN has spatially enabled the original data. To avoid double counting individuals, demographic information of applicants/AFMs and respondents are of those on original applications. To maintain confidentiality, person-based counts with a value of 3 or less are given a value of 2 to calculate totals.

This dataset presents the footprint of the rates of Victorian domestic/family/sexual violence patients retrieved from Ambulance Victoria. The data spans the reference period of June 2016 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 patients per 100,000 population is calculated using the count of events occurring within a LGA and the Estimated Resident Population (ERP) of that LGA. The rate is calculated using the following formula: Rate per 100,000 = (Number of events/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: AURIN has spatially enabled the original data. Data concerning family violence and sexual violence cannot easily be disaggregated. The data includes events of sexual violence by a non-familial perpetrator. The data used in these data tables count the number of records provided by Ambulance Victoria. This translates to the number of patients (non-unique) who were the subject of an event which involved Ambulance Victoria attendance. To maintain confidentiality, person-based counts with a value of 3 or less are given a value of 2 to calculate totals.

The Reintegrative Shaming Experiments (RISE) project compared the effects of standard court processing with the effects of a restorative justice intervention known as conferencing for four kinds of cases: drunk driving (over .08 blood alcohol content) at any age, juvenile property offending with personal victims, juvenile shoplifting offenses detected by store security officers, and youth violent crimes (under age 30). Reintegrative shaming theory underpins the conferencing alternative. It entails offenders facing those harmed by their actions in the presence of family and friends whose opinions they care about, discussing their wrongdoing, and making repayment to society and to their victims for the costs of their crimes, both material and emotional. These conferences were facilitated by police officers and usually took around 90 minutes, compared with around ten minutes for court processing time. The researchers sought to test the hypotheses that (1) there would be less repeat offending after a conference than after a court treatment, (2) victims would be more satisfied with conferences than with court, (3) both offenders and victims would find conferences to be fairer than court, and (4) the public costs of providing a conference would be no greater than, and perhaps less than, the costs of processing offenders in court. This study contains data from ongoing experiments comparing the effects of court versus diversionary conferences for a select group of offenders. Part 1, Administrative Data for All Cases, consists of data from reports by police officers. These data include information on the offender's attitude, the police station and officer that referred the case, blood alcohol content level (drunk driving only), offense type, and RISE assigned treatment. Parts 2-5 are data from observations by trained RISE research staff of court and conference treatments to which offenders had been randomly assigned. Variables for Parts 2-5 include duration of the court or conference, if there was any violence or threat of violence in the court or conference, supports that the offender and victim had, how much reintegrative shaming was expressed, the extent to which the offender accepted guilt, if and in what form the offender apologized (e.g., verbal, handshake, hug, kiss), how defiant or sullen the offender was, how much the offender contributed to the outcome, what the outcome was (e.g., dismissed, imprisonment, fine, community service, bail release, driving license cancelled, counseling program), and what the outcome reflected (punishment, repaying community, repaying victims, preventing future offense, restoration). Data for Parts 6 and 7, Year 0 Survey Data from Non-Drunk-Driving Offenders Assigned to Court and Conferences and Year 0 Survey Data from Drunk-Driving Offenders Assigned to Court and Conferences, were taken from interviews with offenders by trained RISE interview staff after the court or conference proceedings. Variables for Parts 6 and 7 include how much the court or conference respected the respondent's rights, how much influence the respondent had over the agreement, the outcome that the respondent received, if the court or conference solved any problems, if police explained that the respondent had the right to refuse the court or conference, if the respondent was consulted about whom to invite to court or conference, how the respondent was treated, and if the respondent's respect for the justice system had gone up or down as a result of the court or conference. Additional variables focused on how nervous the respondent was about attending the court or conference, how severe the respondent felt the outcome was, how severe the respondent thought the punishment would be if he/she were caught again, if the respondent thought the court or conference would prevent him/her from breaking the law, if the respondent was bitter about the way he/she was treated, if the respondent understood what was going on in the court or conference, if the court or conference took account of what the respondent said, if the respondent felt pushed around by people with more power, if the respondent felt disadvantaged because of race, sex, age, or income, how police treated the respondent when arrested, if the respondent regretted what he/she did, if the respondent felt ashamed of what he/she did, what his/her family, friends, and ot

Australia Intentional Homicides: per 100,000 People data was reported at 0.745 Ratio in 2021. This records a decrease from the previous number of 0.861 Ratio for 2020. Australia Intentional Homicides: per 100,000 People data is updated yearly, averaging 1.302 Ratio from Jun 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 2.194 Ratio in 1990 and a record low of 0.745 Ratio in 2021. Australia Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Social: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.;UN Office on Drugs and Crime's International Homicide Statistics database.;Weighted average;

The following table, produced by the NSW Bureau of Crime Statistics and Research (BOCSAR) provides information on rates, trends and patterns in domestic violence incidents reported to, or detected by, the NSW Police Force for the period of 2017/18. The data has been aggregated to location following the 2018 Australian Statistical Geography Standard (ASGS) edition of the Local Government Areas (LGAs). Domestic violence is a serious problem which impacts many NSW families. In 2012, an estimated 16.9 per cent of Australian women aged 18 years and over had experienced partner violence since the age of 15 years (ABS Personal Safety Survey 2012). Rate calculations should also be treated very cautiously for LGAs that have high visitor numbers relative to their residential population. This is because rate calculations are based on estimated residential population and no adjustment has been made for the number of people visiting each LGA per year. For the rate calculations, specialised population data were prepared and provided to BOCSAR by the Australian Bureau of Statistics (ABS). For more information please visit the BOSCAR Portal. Please note: AURIN has spatially enabled the original data. LGAs which have populations less than 3000 has been suppressed to maintain confidentiality. Original data values of "n.c." have been set to null.

In a survey conducted between August and September 2025, ** percent of respondents from Australia voiced concern over the crime and violence situation in the country. In contrast, *****percent of the surveyed individuals in Singapore selected crime and violence as one of their three leading concerns at the time of the survey.

Australia Intentional Homicides: Female: per 100,000 Female data was reported at 0.661 Ratio in 2016. This records a decrease from the previous number of 0.707 Ratio for 2015. Australia Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 0.845 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 1.424 Ratio in 2000 and a record low of 0.661 Ratio in 2016. Australia Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

This dataset presents the footprint of the rates of family violence patients retrieved from the Victorian Emergency Minimum Dataset (VEMD), which holds information detailing presentations at Victorian public hospitals with designated Emergency Departments. 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 patients per 100,000 population is calculated using the count of patients recorded in a LGA and the Estimated Resident Population (ERP) of that LGA. The rate is calculated using the following formula: VEMD Patient Rate = (Number of Patients/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: AURIN has spatially enabled the original data. To maintain confidentiality, person-based counts with a value of 3 or less are given a value of 2 to calculate totals.

This indicator is based on location of residence. Mortality rate has been age-adjusted to the 2000 U.S. standard population. ICD 10 codes used to identify homicides are X85-Y09, Y87.1, and U01-U02. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Violence is a public health crisis in the US, with gun violence being a major driver. Almost three quarters of homicides involve firearms. In the US, the age-adjusted homicide rate from firearms is more than 20 times higher than in the European Union or in Australia. Significant disparities by age, sex, and race and ethnicity exist, with young adults ages 15-34 years, males, and Black individuals most disproportionately impacted. Comprehensive prevention strategies should work to address the underlying physical, social, economic, and structural conditions known to increase risk.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Gun Violence Data Portals Market Outlook

According to our latest research, the Global Gun Violence Data Portals market size was valued at $420 million in 2024 and is projected to reach $1.2 billion by 2033, expanding at a robust CAGR of 12.5% during the forecast period of 2025–2033. The primary driver for this impressive growth trajectory is the increasing demand for real-time, transparent, and actionable data to inform policy decisions, law enforcement strategies, and public health interventions in response to escalating gun violence incidents worldwide. As governments, non-profit organizations, and academic institutions intensify their focus on data-driven solutions to address the complex challenge of gun violence, investments in advanced data portals have surged, underpinning the expansion of this market on a global scale.

Regional Outlook

North America currently dominates the Gun Violence Data Portals market, accounting for the largest share of global revenue, estimated at over 45% in 2024. This leadership is attributed to the region's mature technology infrastructure, high-profile gun violence incidents, and the presence of established data analytics and software providers. The United States, in particular, has witnessed significant policy-driven investments and public-private partnerships aimed at enhancing data transparency and accessibility for law enforcement, academic researchers, and advocacy groups. The region’s proactive stance on leveraging digital solutions for crime prevention and public health, coupled with strong regulatory mandates around data reporting and sharing, has cemented its position as the epicenter of innovation and adoption in this space.

In contrast, the Asia Pacific region is emerging as the fastest-growing market, with a projected CAGR exceeding 15% during the forecast period. This accelerated growth is fueled by rising urbanization, increasing concerns over public safety, and the rapid digitization of government and law enforcement operations. Countries such as India, Japan, and Australia are investing heavily in cloud-based analytics platforms and collaborative data-sharing frameworks to address localized gun-related challenges and support evidence-based policymaking. The influx of foreign direct investment, coupled with government initiatives to modernize surveillance and crime reporting systems, is expected to further propel the adoption of gun violence data portals across Asia Pacific.

Meanwhile, emerging economies in Latin America and the Middle East & Africa present unique opportunities and challenges for the Gun Violence Data Portals market. While these regions are grappling with high rates of gun-related violence, the adoption of advanced data portals is often hindered by infrastructural limitations, fragmented data sources, and varying levels of digital literacy among end-users. However, targeted international funding, capacity-building programs, and regional collaborations are gradually overcoming these barriers, paving the way for localized solutions tailored to specific policy and enforcement needs. As these markets mature, the potential for scalable, cloud-based data portal solutions is expected to rise significantly, contributing to the overall global market growth.

Report Scope