Table 1.
Model variables and descriptive statistics
| Variable | Definition | Weighted sample (%) | Mean commute distance (km) |
|---|---|---|---|
| Migrant status | |||
| Stayer | Respondent has lived in the same CSD for the past 5 years | 82.6 | 14.1 |
| One-year migrant | Respondent has moved to a different CSD in the past 1 year | 4.1 | 19.3 |
| Five-year migrant | Respondent has moved to a different CSD in the past 5 years | 13.2 | 17.0 |
| Geographical context | |||
| Residential location | |||
| CMA | Respondent lives in a Census Metropolitan Area | 94.3 | 14.3 |
| CA | Respondent lives in a Census Agglomeration | 2.3 | 18.1 |
| Strong MIZ | Respondent lives in a Strong MIZ | 3.0 | 24.8 |
| Moderate MIZ | Respondent lives in a Moderate MIZ | 0.4 | 21.1 |
| Move type | |||
| Urban to urban | Respondent moved from an urban area to urban area | 15.9 | 17.2 |
| Rural to urban | Respondent moved from a rural area to urban area | 0.2 | 17.8 |
| Rural to rural | Respondent moved from a rural area to a rural area | 0.6 | 28.4 |
| Urban to rural | Respondent moved from an urban area to a rural area | 0.2 | 34.2 |
| Stayer | Respondent did not move in the five years prior to census | 82.6 | 14.1 |
| Labor Market | |||
| Employment Status | |||
| Full time | Respondent is working full-time (≥ 30 h per week) | 83.4 | 15.5 |
| Part Time | Respondent is working part-time (< 30 h per week) | 16.6 | 10.7 |
| Occupation | |||
| Management | Respondent has a management occupation | 13.4 | 16.9 |
| Science | Respondent has a natural or applied sciences occupation | 8.3 | 18.4 |
| Sales and Service | Respondent has a sales or service occupation | 20.8 | 11.4 |
| Health | Respondent has a health occupation | 6.8 | 13.5 |
| Government | Respondent has a government occupation | 12.1 | 13.7 |
| Other employment | Respondent has an occupation different from the above | 38.6 | 15.7 |
| Demographic & Household | |||
| Age 20–24 | Respondent is 20–24 years old | 5.1 | 12.7 |
| Age 25–29 | Respondent is 25–29 years old | 10.2 | 14.5 |
| Age 30–34 | Respondent is 30–30 years old | 11.0 | 14.6 |
| Age 35–39 | Respondent is 35–39 years old | 11.2 | 15.1 |
| Age 40–44 | Respondent is 40–44 years old | 12.2 | 15.6 |
| Age 45–49 | Respondent is 45–49 years old | 13.2 | 15.4 |
| Age 50–54 | Respondent is 50–54 years old | 14.1 | 15.3 |
| Age 55–59 | Respondent is 55–59 years old | 11.5 | 14.7 |
| Age 60–64 | Respondent is 60–64 years old | 7.1 | 13.8 |
| Age 65–69 | Respondent is 65–69 years old | 2.9 | 12.7 |
| Age 70+ | Respondent is 70 years of age or older | 1.4 | 11.1 |
| Sex | |||
| Female | Respondent is female | 49.8 | 12.9 |
| Male | Respondent is male | 50.2 | 16.4 |
| Household structure | |||
| Children | Respondent has dependent children (0–18) | 52.2 | 15.8 |
| No children | Respondent has no dependent children | ||
| Marital Status | |||
| Married | Respondent is married/common law | 67.4 | 15.5 |
| Single | Respondent is single | 22.0 | 12.9 |
| DSW | Respondent is divorced, separated, or widowed | 10.5 | 13.5 |
| Transport Mode | |||
| Car | Respondent primarily used car for commuting | 75.8 | 15.9 |
| Public Transit | Respondent primarily used public transit for commuting | 17.4 | 14.2 |
| Active | Respondent primarily used active transit for commuting | 6.0 | 2.3 |
| Sample size (weighted) | 2,966,960 |
Notes: All variable definitions are in reference to the week (Sunday to Saturday) prior to the 2016 census day. The weighted sample population was calculated based on a weight provided by Statistics Canada. The percentages shown may not sum to 100 due to rounding or in the case of sub-samples