VICTORIA
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 Victoria since 2008–09. No fitted functions that met the inclusion criteria were identified for physical assault or non face-to-face threatened assault.
VICTIMISATION RATES, Selected personal crimes, Victoria, 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 function is: face-to-face threatened assault is a polynomial function with equation y = 0.0387x2 - 0.5304x + 4.3625 R2 = 0.8313
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 malicious property damage in Victoria since 2008–09. The victimisation rate for theft from a motor vehicle has generally declined over the same time period, although this has plateaued in recent years. The victimisation rate for attempted break-in has declined since 2008–09, with the apparent increase from 2013–14 not statistically significant. The victimisation rate for break-in has been fairly stable since 2008–09. No fitted functions that met the inclusion criteria were identified for motor vehicle theft or other theft.
VICTIMISATION RATES, Selected household crimes, Victoria, 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: break-in is a polynomial function with equation y = 0.0351x2 - 0.3268x + 3.0125 R2 = 0.8881; attempted break-in is a polynomial function with equation y = 0.05x2 - 0.5643x + 3.1393 R2 = 0.9734; theft from a motor vehicle is a polynomial function with equation y = 0.0804x2 - 0.903x + 5.7518 R2 = 0.8663; malicious property damage is a polynomial function with equation y = 0.0929x2 - 1.5333x + 12.082 R2 = 0.986
Source(s): Crime Victimisation, Australia