Table 5
Regression models (indicators) for violent and property
crime rates, city of Toronto census tracts, 2006
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Violent crime | Property crime | |
---|---|---|
number | ||
Number of incidents | 26,040 | 75,304 |
percent | ||
Explanatory power 1 | 63.9 | 47.7 |
regression coefficients (b) | ||
Socio-economic characteristics | ||
Access to socio-economic resources | -0.397*** | -0.201*** |
Economic vulnerability | 0.178** | … |
Ethno-cultural characteristics | ||
Recent immigrants | -0.284*** | -0.146** |
Ethno-cultural diversity | … | … |
Demographic characteristics | ||
Children | … | … |
Elderly people | -0.143*** | -0.167*** |
Young men | … | … |
Urban characteristics | ||
Centrality | … | 0.245*** |
Urbanization | 0.165*** | 0.122* |
Major repairs | 0.173*** | … |
Subway or train station | 0.154* | 0.193* |
Economic activity | ||
Commercial activity | 0.198*** | 0.501*** |
Manufacturing jobs | -0.117** | -0.108* |
Office jobs | -0.171** | -0.242*** |
Bars | … | … |
Spatial lag 1 | 0.391*** | 0.304*** |
not applicable (variables excluded from
the model because they are not significant [p<0.05])
Significantly associated with dependent variable
p<0.05
Significantly associated with dependent variable
p<0.01
Significantly associated with dependent variable
p<0.001
Data represent the squared correlation coefficients
between observed and predicted values, a measure that is related to the coefficient
of determination (R2). See "Spatial autocorrelation and regression"
in the Methodology section for more information on autoregressive spatial
models.
Note(s):
Based on 524 census tracts. Regression models include intercept.
Population at risk includes residents and workers.
Source(s):
Statistics Canada, Incident-based Uniform Crime Reporting Survey,
geocoded database, 2006 and 2006 Census.
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