DOI: 10.5683/sp3/s5arzd
title: Labour Force Survey, June 2017 [Canada] [Rebased, 2023 Revisions]
title: Labour Force Survey, June 2017
title: LFS June 2017
title: Enquête sur la population active, juin 2017 [Canada] [Remanié 2023]

description: The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.&lt;br&gt;&lt;br&gt;This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). It contains both personal characteristics for all individuals in the household and detailed labour force characteristics for household members 15 years of age and over. The personal characteristics include age, sex, marital status, educational attainment, and family characteristics. Detailed labour force characteristics include employment information such as class of worker, usual and actual hours of work, employee hourly and weekly wages, industry and occupation of current or most recent job, public and private sector, union status, paid or unpaid overtime hours, job permanency, hours of work lost, job tenure, and unemployment information such as duration of unemployment, methods of job search and type of job sought. Labour force characteristics are also available for students during the school year and during the summer months as well as school attendance whether full or part-time and the type of institution.&lt;br&gt;&lt;br&gt;&lt;b&gt;LFS revisions&lt;/b&gt;: Labour force surveys are revised on a periodic basis, either to adopt the most recent geography, industry and occupation classifications; to use new observations to fine-tune seasonal adjustment factors; or to introduce methodological enhancement. Prior LFS revisions were conducted in 2011, 2015 and 2021. The most recent revisions to the LFS were conducted in 2023. The first major change was a transition to the National Occupational Classification (NOC) 2021 V1.0, with all LFS series from 1987 onwards having been revised to the new classification. The second major change were methodological enhancements to LFS data processing, applied to all LFS series beginning Jan 2006. The third major change was a revision of seasonal adjustment factors, applied to LFS series Jan 2002 onward. A list of prior versions of this LFS dataset can be found under the ‘Versions’ tab.
description: Migration from Nesstar
description: Labour Force Survey
description: <b>Retroactive Application of 2017 Variable Changes as of the 2023 LFS Revisions:</b>
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Beginning in 2017, several variables in the LFS PUMF were added, expanded, reintroduced, removed, or collapsed. As of the LFS 2023 revisions, these changes have been retroactively applied to all LFS PUMFs between January 2006 to December 2016.
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Below is a summary of these changes:
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The variable (CMA) has been expanded from 3 CMAs to 9 CMAs.
The variables (NOC_10) and (NOC_40) were reintroduced. (Note: Beginning with the 2023 LFS revisions, (NOC_40) has been replaced with (NOC_43)).
A new variable (IMMIG) was added.
The variable (LFSSTAT) has been collapsed from six categories down to four categories.
The variables (NAICS_18) and (NAICS_43) have been replaced by the single variable (NAICS_21).
The variable (AGYOWNK) has been collapsed from six categories down to four categories.
The variable (SCHOOLN) has been collapsed from nine categories down to three categories.
Fourteen variables relating to family/spousal labour force characteristics have been removed: (EFAMSIZE), (EFAMEMPL), (EFAMUNEM), (SP_AGE), (SP_LFSST), (SPED7689), (SPED1990), (SP_SOC80), (SP_NOCS01), (SP_UHRSM), (SP_COWM), (SCH1624).
Eight variables have been removed for being out of date:
(ED76to89), (NAICS_18), (SOC80_21), (SOC80_49), (NOCS_01_25), (NOCS_01_47), (WHYPTOLD), (YNOLKOLD).