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	NEW SOUTH WALES 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 New South Wales. VICTIMISATION RATES, Selected personal crimes, New South Wales, 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 rates for theft from a motor vehicle, malicious property damage and other theft in New South Wales since 2008–09. The victimisation rate for attempted break-in has declined since 2008–09. The apparent increase from 2013–14 was not statistically significant. No fitted functions that met the inclusion criteria were identified for break-in or motor vehicle theft. VICTIMISATION RATES, Selected household crimes, New South Wales, 2008–09 to 2015–16^(a)(b) 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: attempted break-in is a polynomial function with equation y = 0.0679x² - 0.7583x + 3.6571 R² = 0.8638; theft from a motor vehicle is an exponential function with equation y = 4.0423e^-0.091xR² = 0.885; malicious property damage is an exponential function with equation y = 11.657e^-0.126xR² = 0.9811; other theft is a logarithmic function with equation y = -0.739ln(x) + 3.8045 R² = 0.8537. *Source(s):* Crime Victimisation, Australia Document Selection These documents will be presented in a new window.