Geography - Find information by region or area

Description: Number of unemployed persons by activity prior to unemployment, gender and age group, monthly.

Description: Number of unemployed persons and persons not in the labour force by reason for leaving job during previous year, gender and age group, monthly.

Description: Number of persons not in the labour force by reason for not looking for work, gender and age group, monthly.

Description: Unemployment rate and employment rate by type of student during summer months, gender and age group. Data are also available for the standard error of the estimate and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by type of student during summer months, gender and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by province, type of student during summer months, gender, and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by data type (seasonally adjusted and trend-cycle), gender and age group. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Number of employees by class of worker and gender. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Description: Labour force survey estimates (LFS), employment by census metropolitan area based on 2001 census boundaries and National Occupational Classification for Statistics (NOC-S), 3-month moving average, unadjusted for seasonality.

Description: Labour force survey estimates (LFS), employment by census metropolitan area based on 2001 census boundaries and National Occupational Classification for Statistics (NOC-S).

Description:

This table contains 560 series, with data for years 1987 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (40 items: St. John's; Newfoundland and Labrador; Halifax; Nova Scotia; Saguenay; Quebec; Saint John; New Brunswick ...), Labour force characteristics (7 items: Population; Labour force; Unemployment; Employment ...), Seasonal adjustment (2 items: Seasonally adjusted; Unadjusted ...).

Description:

This table contains 42 series, with data for years 1987 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (3 items: Montréal; Quebec; Vancouver; British Columbia; Toronto; Ontario ...), Labour force characteristics (7 items: Population; Unemployment; Labour force; Employment ...), Seasonal adjustment (2 items: Seasonally adjusted; Unadjusted ...).

Description:

This table contains 27840 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (29 items: Quebec; Région du Bas-Saint-Laurent, Quebec; Région du Saguenay - Lac-Saint-Jean, Quebec; Région de la Capitale Nationale, Quebec; ...); Age group (10 items: Total, 15 to 74 years; 15 to 19 years; 20 to 34 years; 20 to 24 years; ...); Sex (3 items: Both sexes; Males; Females); Decision latitude at work (4 items: Total population for the variable decision latitude at work; High decision latitude at work; Low or medium decision latitude at work; Decision latitude at work, not stated); Characteristics (8 items: Number of persons; Low 95% confidence interval, number of persons; High 95% confidence interval, number of persons; Coefficient of variation for number of persons; ...).

Description: This report applies various assumptions regarding future participation rates in postsecondary education to projected demographic trends to create three scenarios that estimate the potential future population of students in postsecondary institutions in Canada and the provinces. Projections are provided separately for enrolments at the college and the university levels for three age cohorts: 17 to 19 year-olds, 20 to 24 year-olds and 25 to 29 year-olds. Demographic trends and participation rates in college and in university both vary widely across provinces. To reflect these differences, the analysis is presented at both a national level and for each of the ten provinces. At the national level, the sample size is large enough to allow analysis of trends in both full- and part-time enrolment at the national level; at the provincial level, we constrain our enquiry to full-time only. Demographic data on historical and projected population trends for each of the three age cohorts was provided by Demography Division, Statistics Canada, for the 1990 to 2031 period. Historical college and university participation rates were calculated as the ratio of enrolment to population for the three age cohorts as reported by the Labour Force Survey (LFS). We capture enrolments for the academic year through averaging enrolments over the eight-month period between September and April, for the academic years from 1990/1991 to 2005/2006. Because of the coverage of the LFS, the population considered is that of the ten provinces. Projections of possible future enrolment levels are provided based on three sets of assumptions or 'what if' scenarios: Scenario 1: Maintaining the status quo What if college and university participation rates remain at the average level over the 2003/2004 to 2005/2006 period? Scenario 2: Growth in line with historical trends What if national postsecondary participation rates were to maintain historical trends observed over the 1990/1991 to 2005/2006 period until 2016/2017, remaining constant thereafter? Scenario 3: Closing the gender gap What if, in future, male participation rates in postsecondary education matched the higher rates observed for females over the 2002/2003 to 2005/2006 period?

Description:

This publication provides the most current monthly labour market statistics. Each month, this publication contains a brief commentary highlighting recent developments in the Canadian labour market. It also includes a series of charts and tables on a variety of labour force characteristics, such as employment and unemployment for Canada, the provinces, metropolitan areas and economic regions.

Description:

This table contains 153 series, with data for years 1987 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Sex (3 items: Both sexes; Females; Males ...), Components (3 items: Unionized workers; Employees; Union density ...), Industry (17 items: Total; all industries; Forestry; fishing; oil and gas; Utilities; Agriculture ...).

Description:

This table contains 99 series, with data for years 1976 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...), Sex (3 items: Both sexes; Males; Females ...), Components (3 items: Unionized workers; Employees; Union density ...).

Description:

This table contains 396 series, with data for years 1976 - 1995 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Sex (3 items: Both sexes; Females; Males ...), Components (3 items: Unionized workers; Employees; Union density ...), Industry (44 items: Total; all industries; Agriculture; Forestry; Fishing and trapping ...).

Description:

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

In large-scale surveys, it is almost guaranteed that some level of non-response will occur. Generally, statistical agencies use imputation as a way to treat non-response items. A common preliminary step to imputation is the formation of imputation cells. In this article, the formation of these cells is studied using two methods. The first method is similar to that of Eltinge and Yansaneh (1997) in the case of weighting cells and the second is the method currently used in the Canadian Labour Force Survey. Using Labour Force data, simulation studies are performed to test the impact of the response rate, the response mechanism, and constraints on the quality of the point estimator in both methods.

Description:

Using data from the Homicide Survey and a combination of other statistical data sources this Juristat will examine spousal homicide trends over the period 1974-2000. In 1991 changes were made to the Homicide Survey providing more detailed breakdowns of the relationship between victims and offenders permitting comparisons of married, common-law, separated and divorced couples as well as boyfriends and girlfriends. This allows trends in other intimate partner homicides (e.g. boyfriends and girlfriends) to be examined from 1991-2000. These trends in spousal homicide will be assessed within the context of other factors, including improvements to women’s economic and social well-being (e.g. average annual income, delayed marriage and child-rearing), growth in the availability of emergency services for battered women, trends in spousal victims’ use of social services, trends in reporting spousal violence to the police, and the evolution of charging and prosecution policies.

Description:

All provinces and territories set minimum wages in their employment standards legislation. This update uses the Labour Force Survey to examine the characteristics of those who work at or below the minimum wage for experienced adults in each jurisdiction. The incidence of working for minimum wage has increased each year since 2006 but remains concentrated among youth, particularly young women.

Description:

This research paper summarizes the approach, methodology and results of a study of the labour market behaviour of persons in various categories of attachment to the labour market. The analysis focuses on the transition probabilities for various categories of labour market attachment. Specifically, the study will include a discussion of the behavioural differences of the following groups:

a) a comparison of transitions from U (unemployed), M (marginally attached - wants work) and N (not attached - does not want work); b) a further breakdown of the transitions from U by active searchers, passive searchers, those on temporary layoff and short-term future starts; c) a further breakdown of transitions for M by reason for not searching; and d) a further breakdown of transitions from N by long-term future starts and other.

The study will be based on 1997-1999 Labour Force Survey data.

Description: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.

The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.

Description: The Guide to the Labour Force Survey contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection, data processing and data quality. It also contains information on products and services, sub-provincial geography descriptions as well as the survey questionnaire.

Description: This paper introduces and explains modifications made to the Labour Force Survey estimates.

Description: This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2025. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2021 Census and updates to the 2021 Standard Geographical Classification (SGC).

Description: This document provides information on the evolution of response rates for the Labour Force Survey (LFS) and a discussion of the evaluation of two aspects of data quality that ensure the LFS estimates continue providing an accurate portrait of the Canadian labour market.

Description: This document introduces and describes updates to the Labour Force Survey estimates in January 2023. These updates include the transition to National Occupational Classification (NOC) 2021 as well as enhancements to the LFS data processing system.

Description:

This paper introduces and explains modifications made to the Labour Force Survey estimates in January 2021. Some of these modifications include the adjustment of all LFS estimates to reflect population counts based on the 2016 Census and includes updates to 2016 Geography classification system.

Description:

The production of statistics from the Labour Force Survey (LFS) involves many activities, one of which is data processing. This step involves the verification and correction of survey data when required in order to produce microdata files. Beginning in January 2019, LFS processing will be transitioned to a new system, the Social Survey Processing Environment. This document describes the development and testing that preceded the implementation of the new system, and demonstrates that the transition is expected to have minimal impact on LFS estimates and be transparent to users of LFS data.

Description:

The Canadian Labour Force Survey (LFS) is the official source of monthly estimates of total employment and unemployment. Following the 2011 census, the LFS underwent a sample redesign to account for the evolution of the population and labour market characteristics, to adjust to changes in the information needs and to update the geographical information used to carry out the survey. The redesign program following the 2011 census culminated with the introduction of a new sample at the beginning of 2015. This report is a reference on the methodological aspects of the LFS, covering stratification, sampling, collection, processing, weighting, estimation, variance estimation and data quality.

Description:

In over 70 years, the methodology and questionnaire, as well as the collection and processing techniques of the Canadian Labour Force Survey have undergone major changes. This document summarizes these changes chronologically and provides references to more detailed information sources. Among the most significant changes were two questionnaire redesigns, which occurred approximately 20 years apart, in 1976 and 1997.