Demographic Trends and Crime in the Province of Alberta

Stevens, Gillian; Hartnagel, Timothy F.; Odynak, Dave; Brazil, Jasmine

doi:10.18357/ijcyfs41201311821

Cited by 4 publications

(4 citation statements)

References 60 publications

(22 reference statements)

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“…The analysis by Hollis (2016) compares crime between communities using block group level demographics. More in depth studies, such as the one by Stevens (2012) emphasize data analysis to determine the demographic traits found most often with criminals or victims and predicting trends in crime based on those data. While spatial and demographic analyses are valid on their own a geodemographic approach can be quick and insightful, and thus has become a useful tool for the police investigation in Norway as Gottschalk (2006) notes that geodemographic profiles were used for insight into the characteristics of criminals and for deploying police resources.…”

Section: The Geography Of Crimementioning

confidence: 99%

“…In addition to the variables selected based on the OAC, demographic variables were also selected based on their relation to existing relationship to crime. For age, between the ages of 15 and 20 is where crime rates are highest, with overall rates having a steeper decline after the age of 35 where arrests for harassment and sexual offences are more common (Stevens, 2012).…”

Section: Variable Selection and Processingmentioning

confidence: 99%

“…Sex is the final additional factor that was included in the form of a male to female ratio; males are more often arrested in relation to crimes and females are more often victimized (Ulvi, 2014). Income variables were also added due to lower income neighbourhoods historically having higher crime rates (Stevens, 2012). Lower and higher income ranges were specifically selected to emphasize neighbourhoods with prominently low incomes as well as neighbourhoods with prominent wealth.…”

Section: Variable Selection and Processingmentioning

confidence: 99%

See 2 more Smart Citations

Open Geodemographics and Crime: A Case Study Of Toronto

Larsen

2024

Preprint

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<p>Geodemographic segmentation systems are ubiquitous in commercial applications for marketing but academic research on geodemographics shows limited focus on crime. A criticism of geodemographic segmentation systems is their closed nature, with many systems only accessible through commercial means, making them inaccessible for general public access. Using a more open approach that provides access to geodemographic systems, methodology, and applications would increase the availability and potential use of geodemographic solutions. The research presented in this paper puts forward a geodemographic segmentation system for Toronto that uses crime data in the creation of its clusters and provides the system and the methodology open to the public. This serves the dual purpose of providing a system for others to use for their own analysis on crime within Toronto and providing the methodology for others to create their own system. This research found that crime data is well suited to a geodemographic segmentation approach. Further research can apply these open data techniques to other cities or even countries.</p>

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Section: The Geography Of Crimementioning

confidence: 99%

Section: Variable Selection and Processingmentioning

confidence: 99%

Section: Variable Selection and Processingmentioning

confidence: 99%

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Open Geodemographics and Crime: A Case Study Of Toronto

Larsen

2024

Preprint

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“…The economic factors that have been found to influence crime include changes in unemployment, in incomes, in inflation, in inequality, and in alcohol consumption (Cook & Zarkin, 1985;Raphael & Winter-Ebmer, 2001;Savoie, 2008;Pernanen, Cousineau, Brochu et al, 2002;Bunge, Johnson, & Balde, 2005, Andresen, 2013. Research investigating the demographic factors that influence crime have tended to concentrate on the youth and migrant populations (Butcher & Piehl, 1998;Bunge et al, 2005;Kitchen, 2007;Stevens, Odynak, Brazil et al, 2011;Plecas, Evans, & Dandurand, n.d.). For more extensive reviews of the influences on crime, readers are encouraged to refer to Levitt (2004), Albertson & Fox (2012), Farrell, Tilley & Tseloni (2014), Tonry (2014), and Wilson, Sagynbekov, Pardy et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of economic and demographic change on property crime rates in Western Canada

Wilson

2018

jcswb

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Western provinces have experienced tremendous change over the last few decades, with oil booms and busts, with large international and interprovincial movement of workers and families, and with rising and declining property crime rates. What are the links between these economic, demographic, and crime rate changes? I investigate these links for Western Canada over the period from 1968 to 2015. Empirical results suggest that increases in household incomes and alcohol sales per capita, and decreases in unemployment rates, all signs of improved economic prosperity, coincided with decreases in rates of property crime. Increases in migration turnover (both inward and outward migration) put upward pressure on rates of property crime. In addition, changes in police reporting methods and categorization have had dramatic effects on official rates of property crime: the change from UCR1 to UCR2 reporting methodology caused rates of property crime to rise by between 18 per cent and 30 per cent in 1998, and changes in police reporting methods in 2003 caused property crime rates to rise again, by between 5 per cent and 16 per cent in 2003, for the western provinces. The recent rise in rates of property crime in the west is closely linked to the economic slowdown following the drop in oil and resource prices, and should migration turnover rates remain high as people move seeking better opportunities, property crime rates will remain high. Policymakers and criminal justice professionals may be advised and reminded of the effect of these economic and demographic changes, as well as the effect of reporting changes, on official rates property crime.

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