QUEENSLAND
HOW HAVE PERSONAL CRIME VICTIMISATION RATES CHANGED OVER TIME?
The fitted function analysis showed a decline in the victimisation rate for face-to-face threatened assault in Queensland since 2008-09.
No fitted functions met the inclusion criteria for physical assault and non face-to-face threatened assault in Queensland, nor was there any significant difference in the physical assault and non face-to-face threatened assault victimisation rates between 2008-09 and 2016-17.
VICTIMISATION RATES, Selected personal crimes, Queensland, 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 limited impact on the analysis, as only survey estimates with RSEs of 25% or less were included in the analysis. For further information on survey error refer to the Technical Note. (b) Fitted function is: face-to-face threatened assault an exponential function with equation y = 4.0125e-0.053x RČ = 0.7679.
HOW HAVE HOUSEHOLD CRIME VICTIMISATION RATES CHANGED OVER TIME?
The fitted function analysis showed a decline in the victimisation rate for break-in and theft from a motor vehicle in Queensland since 2008-09.
Although no fitted functions that met the inclusion criteria were identified for malicious property damage and other theft, when undertaking significance testing (comparing two time points) the victimisation rate for malicious property damage was significantly lower in 2016-17 (4.0%) compared to 2008-09 (9.5%), as was the rate for other theft (2.4% compared to 4.4%).
No fitted functions met the inclusion criteria for attempted break-in Queensland, nor was there any significant difference in the attempted break-in victimisation rate between 2008-09 and 2016-17.
VICTIMISATION RATES, Selected household crimes, Queensland, 2008-09 to 2016-17(a)(b)(c)
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 limited impact on the analysis, as only survey estimates with RSEs of 25% 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 = -0.0041x2 - 0.1422x + 3.5857 RČ = 0.8707; theft from a motor vehicle is a polynomial function with equation y = 0.0009x2 - 0.242x + 3.6381 RČ = 0.9275.(c) Data for motor vehicle theft are not shown, as estimates for the number of households 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).