|Unit||Ths. #, SA|
|Agriculture Employment||Oct 2019||291.4||288.8||Ths. persons, SA||Monthly|
|Labor Force||Oct 2019||20,286||20,278||Ths. #, SA||Monthly|
|Labor Force Employment||Oct 2019||19,163||19,165||Ths. #, SA||Monthly|
|Total Employment||Oct 2019||19,163||19,165||Ths. #, SA||Monthly|
|Unemployment||Oct 2019||1,122||1,113||Ths. #, SA||Monthly|
|Unemployment Rate||Oct 2019||5.5||5.5||%, SA||Monthly|
|Wage & Salaries||Jun 2019||83,637,595||83,555,271||Ths. CAD, SA||Monthly|
For Canada, the labor force survey provides labor force, unemployment, unemployment rate, employment by industry, for provinces and metro areas. Annual from 1976.
The source writes:
The Cansim Labour Force Survey aims to divide the working-age population into three groups; employed, unemployed, and not in the labour force, as well as to provide descriptive and explanatory data on each.
The LFS data is then used to produce the unemployment, employment and participation rates. The LFS provides data by industry, occupation, sector, hours worked and more. Geographic coverage includes Canada, the provinces, the territories and some sub-provincial regions.
Target population - civilian, non-institutionalised population 15 years of age and over. The LFS is conducted nationwide, and in all provinces and territories. Excluded persons include Aboriginal population, Armed Forces, institutionalized, and households in extremely remote areas with very low population density. These groups together represent an exclusion of less than 2% of the Canadian population aged 15 and over.
Sample - The sample uses a cross-sectional design. To pick the sample, the source divides each province into smaller geographic sections, then selects dwellings from each section. Dwellings remain in the sample for six consecutive months. Information on all members of the household is usually collected from a single knowledgeable person. The sample size currently includes about 56,000 households.
Interview Process - Response to the survey is manditory. Interviews are conducted by phone or online if the household meets certain criteria.
Confidentiality - Data is subject to "ND" data points as the source supresses estimates that fall below a minimum number, based on a rubric classified by geography.