4530.0 - Crime Victimisation, Australia, 2015-16

ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 02/02/2017

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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 Property crime continues to fall (Media Release) About this Release	QUEENSLAND HOW HAVE PERSONAL CRIME VICTIMISATION RATES CHANGED OVER TIME? No fitted functions that met the inclusion criteria were identified for physical assault, face-to-face threatened assault or non face-to-face threatened assault in Queensland. VICTIMISATION RATES, Selected personal crimes, Queensland, 2008–09 to 2015–16 Australian Bureau of Statistics © Commonwealth of Australia 2017. *Source(s):* Crime Victimisation, Australia HOW HAVE HOUSEHOLD CRIME VICTIMISATION RATES CHANGED OVER TIME? The fitted function analysis showed a decline in the victimisation rate for break-in, theft from a motor vehicle and malicious property damage in Queensland since 2008–09. No fitted functions that met the inclusion criteria were identified for attempted break-in or other theft. VICTIMISATION RATES, Selected household crimes, Queensland, 2008–09 to 2015–16^(a)(b)(c) Australian Bureau of Statistics © Commonwealth of Australia 2017. *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 limited impact on the analysis, as only survey estimates with RSEs of 15% or less were included in the analysis. For further information on survey error refer to the Technical Note. (b) Fitted functions are: break-in is a polynomial function with equation y = -0.0065x² – 0.1232x + 3.5589 R² = 0.8245; theft from a motor vehicle is a polynomial function with equation y = -0.0054x² - 0.1935x + 3.5696 R² = 0.9107; malicious property damage is a polynomial function with equation y = 0.072x² - 1.4923x + 10.591 R² = 0.9638. (c) Data for motor vehicle theft are not shown, as estimates for the number of persons experiencing motor vehicle theft in the 12 months prior to interview are subject to high sampling error (for further details refer to the Technical Note). *Source(s):* Crime Victimisation, Australia Document Selection These documents will be presented in a new window.