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National Household Survey: Final response rates
Final response ratesFootnote 1 for Canada, provinces and territories, 2011
| Geography | Census private dwellings occupied by usual residents | NHS unweighted response rate (%) |
NHS weighted response rate (%) |
|---|---|---|---|
| Canada | 13,320,614 | 68.6 | 77.2 |
| Newfoundland and Labrador | 208,842 | 63.3 | 72.5 |
| Prince Edward Island | 56,462 | 60.4 | 70.0 |
| Nova Scotia | 390,279 | 65.0 | 74.8 |
| New Brunswick | 314,007 | 63.9 | 74.2 |
| Quebec | 3,395,343 | 71.9 | 80.7 |
| Ontario | 4,887,508 | 67.6 | 76.3 |
| Manitoba | 466,138 | 69.1 | 76.3 |
| Saskatchewan | 409,645 | 63.8 | 73.1 |
| Alberta | 1,390,275 | 67.3 | 75.4 |
| British Columbia | 1,764,637 | 69.5 | 77.1 |
| Yukon | 14,117 | 64.9 | 72.7 |
| Northwest Territories | 14,700 | 83.9 | 83.8 |
| Nunavut | 8,661 | 76.3 | 76.3 |
Final response rates for census subdivisions (CSDs)
Footnotes
- Footnote 1
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Unweighted response rates are calculated from final data, following the completion of data processing and data quality verification. The final status of a dwelling as respondent, non-respondent, or out of scope for the National Household Survey (NHS) is done as part of data processing. The unweighted response rates are then calculated as the number of sampled private dwellings that returned a questionnaire divided by the number of sampled private dwellings classified as occupied by field staff.
Weighted response rates are based on final design weights of NHS. Dwellings that responded to the NHS prior to a fixed date in collection have their initial design weight based on the sampling fraction in their area. After this fixed date, in order to limit the non-response bias as much as possible with the available resources, the NHS focussed collection operations on a subsample of remaining non respondents. Within this subsample, the design weights were increased to reflect this change. The weighted response rates are then calculated as the weighted number of sampled private dwellings that returned a questionnaire divided by the weighted number of sampled private dwellings classified as occupied by field staff.
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