Text box 2 table
Multivariate analysis models (logistic regression): Feeling unsafe when walking alone in one’s neighborhood after dark, Canada, 2014

Text box 2 table
Multivariate analysis models (logistic regression): Feeling unsafe when walking alone in one’s neighborhood after dark, Canada, 2014
Table summary
This table displays the results of Multivariate analysis models (logistic regression): Feeling unsafe when walking alone in one’s neighborhood after dark. The information is grouped by Sociodemographic characteristics (appearing as row headers), Women, Men and Total population, calculated using odds ratio units of measure (appearing as column headers).
Sociodemographic characteristics	Women	Men	Total population
Sociodemographic characteristics	odds ratio
Age group (years)
15 to 24	1.5^Note ***	1.3^Note ***	1.4^Note ***
25 and older	Reference category	Reference category	Reference category
Sex
Female	Note ...: not applicable	Note ...: not applicable	3.5^Note ***
Male	Note ...: not applicable	Note ...: not applicable	Reference category
Retired
Yes	n.s.	1.6^Note ***	1.4^Note ***
No	n.s.	Reference category	Reference category
Level of education
No university diploma	n.s.	1.2^Note *	n.s.
University diploma	n.s.	Reference category	n.s.
Visible minority status
Visible minority	n.s.	1.5^Note ***	1.3^Note **
Non-visible minority	n.s.	Reference category	Reference category
Religion
Christian religion	1.5^Note ***	1.4^Note ***	1.4^Note ***
Non-Christian religion (religious minority)	1.2	1.8^Note ***	1.5^Note ***
No religion	Reference category	Reference category	Reference category
Physical or mental disability (activity limitation)
Yes	1.2^Note *	1.2^Note *	1.2^Note ***
No	Reference category	Reference category	Reference category
Victimization characteristics
Most serious victimization incident in the previous 12 months
Sexual assault	1.5	n.s.	n.s.
Break and enter	2.1^Note **	n.s.	n.s.
Other crime	1.2	n.s.	n.s.
Was not a victim	Reference category	n.s.	n.s.
Victim of discrimination over the previous five years
Yes	1.2^Note *	n.s.	1.1^Note *
No	Reference category	n.s.	Reference category
Neighbourhood characteristics
Location of dwelling^{Text box Note 1}
Census metropolitan area (CMA)	1.9^Note ***	1.6^Note ***	1.7^Note ***
Census agglomeration (CA)	1.6^Note ***	1.3^Note **	1.5^Note ***
Rural areas or small towns (non-CMA/CA)	Reference category	Reference category	Reference category
Knowledge of the residents in the neighbourhood
Knows some, few or no residents	1.3^Note **	n.s.	n.s.
Knows many residents	1.2^Note *	n.s.	n.s.
Knows most of the neighbourhood's residents	Reference category	n.s.	n.s.
Neighbours are trustworthy
No	1.7^Note ***	1.9^Note ***	1.8^Note ***
Somewhat	1.4^Note ***	1.5^Note ***	1.5^Note ***
Yes	Reference category	Reference category	Reference category
Sense of belonging to the community
Weak	1.4^Note ***	1.7^Note ***	1.6^Note ***
Moderate	1.6^Note ***	1.7^Note ***	1.7^Note ***
Strong	Reference category	Reference category	Reference category
Neighbours would call the police if they witnessed what seemed like criminal behaviour
More or less likely	1.3^Note ***	1.3^Note ***	1.3^Note ***
Very likely	Reference category	Reference category	Reference category
Confidence in the police
Some or little confidence	1.4^Note ***	1.3^Note ***	1.3^Note ***
A great deal of confidence	Reference category	Reference category	Reference category
Presence of social disorder perceived in the neighbourhood
Yes	1.6^Note ***	1.8^Note ***	1.7^Note ***
No	Reference category	Reference category	Reference category
Crime level in the neighbourhood
Higher than elsewhere in Canada	2.6^Note ***	2.8^Note ***	2.7^Note ***
About the same as elsewhere in Canada	2.2^Note ***	2.0^Note ***	2.1^Note ***
Lower than elsewhere in Canada	Reference category	Reference category	Reference category
Proportion of the neighbourhood population who immigrated over the past decade
High	1.3^Note ***	n.s.	1.2^Note **
Medium or low	Reference category	n.s.	Reference category
Proportion of lone-parent family households in the neighbourhood
High	n.s.	1.3^Note ***	1.2^Note ***
Medium or low	n.s.	Reference category	Reference category
Proportion of owner-households in the neighbourhood
High	n.s.	0.8^Note ***	n.s.
Medium or low	n.s.	Reference category	n.s.
Proportion of apartments among all dwellings in the neighbourhood
Low	0.8^Note ***	n.s.	0.8^Note ***
Medium to high	Reference category	n.s.	Reference category
... not applicable Note * significantly different from reference category (p < 0.05) Return to note * referrer Note significantly different from reference category (p < 0.01) Return to note referrer Note * significantly different from reference category (p < 0.001) Return to note * referrer Note 1 A census metropolitan area (CMA) or a census agglomeration (CA) is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000, of which 50,000 or more must live in its core. A CA must have a core of at least 10,000. To be included in the CMA or CA, other adjacent municipalities must have a high degree of integration with the core, as measured by commuting flows derived from previous census data on place of work. Return to note 1 referrer n.s. not significant, removed from the model. Note: For more information, see the “Methods for multivariate analysis” section. Source: Statistics Canada, General Social Survey.

Date modified:: 2017-12-12

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Multivariate analysis models (logistic regression): Feeling unsafe when walking alone in one’s neighborhood after dark, Canada, 2014

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Multivariate analysis models (logistic regression): Feeling unsafe when walking alone in one’s neighborhood after dark, Canada, 2014