Perception or Reality, What Matters Most When it Comes to Crime in Your Neighbourhood?
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Public perceptions of crime and victimisation can influence an individual’s subjective well-being. Research into the impact of the fear of crime and victimisation on subjective well-being, however, has been limited; particularly with respect to the relative contributions of real versus perceived crime towards an individual’s self-reported life satisfaction. Improving our understanding of the relationship between crime and well-being is important, as public resources assigned to reducing or controlling crime could be assigned to addressing other social concerns. This paper extends the literature by exploring the contribution of real and perceived crime in an individual’s local area to their self-reported life satisfaction. Our results indicate that: (1) individuals’ perceptions of crime in their local area are far greater than actual levels of crime; (2) the gap between perceived and real crime is widening as real crime rates fall faster than the perceived rate of crime; (3) real crime rates detract more from an individual’s self-reported life satisfaction than perceived rates of crime; however, (4) perceived rates of crime have an adverse impact on life satisfaction beyond those associated with real crime; and (5) there is significant heterogeneity in the life satisfaction effects of real and perceived crime among groups of individuals. These results, together with empirical evidence highlighting successful strategies for moderating perceptions of crime, facilitate the development of more informed public policy that will improve individual life satisfaction and, ultimately, community well-being.
KeywordsHousehold, Income and Labour Dynamics in Australia (HILDA) survey Life satisfaction Perceptions of crime Public policy
This research would not have been possible without the data provided by the Australian Government Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA), the Australian Bureau of Statistics, and the New South Wales Bureau of Crime Statistics and Research. This paper uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) survey. The HILDA project was initiated and is funded by the Australian Government Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this paper, however, are those of the authors and should not be attributed to either FaHCSIA or the Melbourne Institute.
- Australian Bureau of Statistics. (2012a). Australian standard geographical classification (ASGC) concordances. Catalogue No. 1216.0.15.002. Canberra.Google Scholar
- Australian Bureau of Statistics. (2012b). Gender indicators. Catalogue No. 4125,0. Canberra.Google Scholar
- Barton, B., Blenker, A., Smith, L., & Speck, R. (2012). Perceptions of crime in the St. Paul Promise Neighborhood. Minneapolis, MN: The Hubert H. Humphrey School of Public Affairs, University of Minnesota.Google Scholar
- Briddell, L. (2009). Rurality and crime: Identifying and explaining rural/urban differences. Doctoral thesis, Pennsylvania State University.Google Scholar
- Cameron, A., & Trivedi, P. (2010). Microeconometrics using stata. College Station, TX: Stata Press.Google Scholar
- Cornaglia, F., & Leigh, A. (2011). Crime and mental wellbeing. Discussion Paper No. 1049. London: Centre for Economic Performance.Google Scholar
- Davis, B., & Dossetor, K. (2010). (Mis)perceptions of crime in Australia. Trends and Issues in Crime and Criminal Justice No. 396: Australian Institute of Criminology.Google Scholar
- Frey, B., & Stutzer, A. (2002a). Happiness and economics: How the Economy and Institutions Affect Human Well-Being. Princeton: Princeton University Press.Google Scholar
- Geishecker, I., & Riedl, M. (2010). Ordered response models and non-random personalty traits: Monte Carlo simulations and a practical guide. Germany: Centre for European Governance and Economic Development Research.Google Scholar
- Gong, H., Cassells, R., & Keegan, M. (2011). Understanding life satisfaction and the education puzzle in Australia: A profile from HILDA wave 9. NATSEM Working Paper No. 11/12. Canberra: University of Canberra.Google Scholar
- Indermaur, D., & Roberts, L. (2005). Perceptions of crime and justice. Australian social attitudes: the first report. Sydney: University of New South Wales Press.Google Scholar
- Margolis, R., & Myrskyla, M. (2010). A global perspective on happiness and fertility. Working Paper No. 2010-025. Rostock: Max Plank Institute for Demographic Research.Google Scholar
- Watson, N., & Wooden, M. (2012). The HILDA survey: A case study in the design and development of a successful household panel study. Longitudinal and Life Course Studies, 3(3), 369–381.Google Scholar
- Weatherburn, D., & Indermaur, D. (2004). Public perceptions of crime trends in New South Wales and Western Australia. In Crime and Justice Bulletin: contemporary issues in Crime and Justice No. 80. New South Wales Bureau of Crime Statistics and Research.Google Scholar
- Weatherburn, D., Matka, E., & Lind, B. (1996). Crime perception and reality: Public perceptions of the risk of criminal victimisation in Australia. In Crime and Justice Bulletin: Contemporary issues in Crime and Justice No. 28. Sydney: New South Wales Bureau of Crime Statistics and Research.Google Scholar