4530.0 - Crime Victimisation, Australia, 2016-17

ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 16/02/2018

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Key findings In this issue Introduction + Overview of crime in Australia + Who experienced personal and household crimes + State and territory spotlights + Change in rates of crime over time Change in rates of crime over time in Australia Change in rates of crime over time in New South Wales Change in rates of crime over time in Victoria Change in rates of crime over time in Queensland Change in rates of crime over time in South Australia Change in rates of crime over time in Western Australia Change in rates of crime over time in Tasmania Change in rates of crime over time in the Northern Territory Change in rates of crime over time in the Australian Capital Territory Half a million Australians physically assaulted, 2016-17 (Media Release) About this Release	AUSTRALIA HOW HAVE PERSONAL CRIME VICTIMISATION RATES CHANGED OVER TIME? The fitted function analysis showed a decline in the victimisation rate for physical assault and face-to-face threatened assault in Australia since 2008-09, although the rate of this decline is slowing. Although there were no fitted functions which met the inclusion criteria for non face-to-face threatened assault and robbery, when undertaking significance testing (comparing two time points), the victimisation rates were significantly lower in 2016-17 compared to 2008-09, with 0.9% compared to 1.2% for non face-to-face threatened assault, and 0.4% compared to 0.6% for robbery. No fitted functions met the inclusion criteria for sexual assault, nor was there any significant difference in the sexual assault victimisation rate between 2008-09 and 2016-17. VICTIMISATION RATES, Selected personal crimes, Australia, 2008-09 to 2016-17^(a)(b) Australian Bureau of Statistics © Commonwealth of Australia 2018. *Footnote(s):* (a) The fitted functions used to analyse patterns of change in victimisation rates over time have not taken into account the survey error associated with the annual victimisation rates. This is expected to have a negligible impact on the analysis, as the survey error is small. For further information on survey error refer to the Technical Note. (b) Fitted functions are: face-to-face threatened assault is a power function with equation y = 3.7957x^-0.179 R² = 0.8671; physical assault is a polynomial function with equation y = 0.0093x² - 0.1964x + 3.3095 R² = 0.7133. HOW HAVE HOUSEHOLD CRIME VICTIMISATION RATES CHANGED OVER TIME? The fitted function analysis showed a decline in the victimisation rates for break-in and malicious property damage in Australia since 2008-09. The victimisation rate for attempted break-in, motor vehicle theft, theft from a motor vehicle, and other theft have generally declined over the same time period, although these have begun to plateau in recent years. VICTIMISATION RATES, Selected household crimes, Australia, 2008-09 to 2016-17^(a)(^b) Australian Bureau of Statistics © Commonwealth of Australia 2018. *Footnote(s):* (a) The fitted functions used to analyse patterns of change in victimisation rates over time have not taken into account the survey error associated with the annual victimisation rates. This is expected to have a negligible impact on the analysis, as the survey error is small. For further information on survey error refer to the Technical Note. (b) Fitted functions are: break-in is a logarithmic function with equation y = -0.347ln(x) + 3.271 R² = 0.9292; attempted break-in is a polynomial function with equation y = 0.0369x² - 0.464x + 3.3738 R² = 0.8772; motor vehicle theft is a polynomial function with equation y = 0.0131x² - 0.1926x + 1.2595 R² = 0.9726; theft from a motor vehicle is a power function with equation y = 4.4089x^-0.212 R² = 0.9575; malicious property damage is a polynomial function with equation y = 0.0855x² - 1.595x + 12.379 R² = 0.9854; other theft is a polynomial function with equation y = 0.0405x² - 0.5748x + 4.7476 R² = 0.9166. Document Selection These documents will be presented in a new window.