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Type of smoker, by age group and sex, household population aged 12 and over, Canada, 2005
| Current daily or occasional smoker | Former smoker | Never smoked | Not stated | ||||||
|---|---|---|---|---|---|---|---|---|---|
| number | number | number | number | ||||||
| Total, 12 years and over | |||||||||
| Males | |||||||||
| Females | |||||||||
| 12 to 19 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 12 to 14 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 15 to 19 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 20 to 34 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 20 to 24 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 25 to 34 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 35 to 44 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 45 to 64 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 45 to 54 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 55 to 64 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 65 years and over | |||||||||
| Males | |||||||||
| Females | |||||||||
| 65 to 74 years | |||||||||
| Males | |||||||||
| Females | |||||||||
| 75 years and over | |||||||||
| Males | |||||||||
| Females | |||||||||
| 1. | Population aged 12 and over who reported being either a current smoker (daily or occasional) or a non-smoker (former or never smoked). "Type of smoker" was previously referred to as "Smoking status". | ||
| 2. | Current smokers are those who smoke on either a daily or an occasional basis. | ||
| 3. | Daily smokers refers to those who reported smoking cigarettes every day. | ||
| 4. | Occasional smokers refers to those who reported smoking cigarettes occasionally. This includes former daily smokers who now smoke occasionally. | ||
| 5. | Former smokers are those who previously smoked either daily or occasionally and are now non-smokers. | ||
| 6. | When comparing estimates, it is important to use confidence intervals to determine if differences between values are statistically significant. Confidence intervals describe sampling variability and give an indication of the precision of a given estimate. | ||
| 7. | Bootstrapping techniques were used to produce the coefficient of variation (CV) and 95% confidence intervals (CIs). | ||
| 8. | Data with a coefficient of variation (CV) from 16.6% to 33.3% are identified as follows: (E) use with caution. | ||
| 9. | Data with a coefficient of variation (CV) greater than 33.3% were suppressed due to extreme sampling variability and are identified as follows: (F) too unreliable to be published. | ||
| Source: | Statistics Canada, Canadian Community Health Survey (CCHS 3.1), 2005 (CANSIM table 105-0427). | ||