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Table 19
Illicit drug dependence, by age group and sex, household population aged 15 and over, Canada excluding territories, 2002

Illicit drug dependence                        Total population for the variable illicit drug dependence Illicit drug dependence No illicit drug dependence Illicit drug dependence, not stated
Number Number % Number % Number %
2002  
Total, 15 years and over 24,996,593 193,643 0.8 24,726,795 98.9 76,155 0.3
Men 12,286,109 134,819 1.1 12,098,201 98.5 53,090 0.4
Women 12,710,483 58,824 0.5 12,628,595 99.4 23,065 E 0.2 E
15-24 years 4,136,460 110,933 2.7 4,015,069 97.1 10,458 E 0.3 E
Men 2,111,183 73,931 3.5 2,031,155 96.2 F F
Women 2,025,278 37,002 E 1.8 E 1,983,913 98.0 F F
25-64 years 17,133,721 82,709 0.5 16,993,162 99.2 57,850 0.3
Men 8,543,283 60,888 0.7 8,442,508 98.8 39,888 E 0.5 E
Women 8,590,438 21,822 E 0.3 E 8,550,654 99.5 17,962 E 0.2 E
65 years and over 3,726,412 F F 3,718,565 99.8 F F
Men 1,631,644 F F 1,624,538 99.6 F F
Women 2,094,768 F F 2,094,027 100.0 F F
1. Data source: Statistics Canada, Canadian Community Health Survey, Mental Health and Well-being, 2002 (updated in September 2004)
2. The survey excludes from its target population those living in the three territories, individuals living on Indian Reserves and on Crown Lands, residents of institutions, full-time members of the Canadian Armed Forces, and residents of certain remote regions.
3. Population aged 15 and over classified as meeting or failing to meet criteria for illicit drug dependence in the 12 months prior to interview. The classification is based on a set of questions which examine aspects of drug tolerance, (for example, needing more to have an effect), withdrawal, loss of control, and social or physical problems related to illicit drug use in daily life. The information collected provides a profile of behaviours of illicit drug use which lead to clinically significant impairment or distress.
4. The criteria are equivalent to a maladaptive pattern of drug use, leading to clinically significant impairment or distress.
5. Bootstrapping techniques were used to produce the coefficient of variation (CV) and 95% confidence intervals (CIs).
6. Data with a coefficient of variation (CV) from 16.6% to 33.3% are identified by an (E) and should be interpreted with caution.
7. Data with a coefficient of variation (CV) greater than 33.3% were suppressed (F) due to extreme sampling variability.
8. The following standard symbols are used in Statistics Canada publications: (..) for figures not available for a specific reference period and (...) for figures not applicable.
9. CANSIM table number 01051100.
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