Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. 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.

Number of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.

The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. 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 LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation. 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, data on wage rates, union status, job permanency and establishment size are also produced.

This statistic shows the annual growth in employment in Canada throughout 2022 to 2031, by industry. Throughout 2022 to 2031, employment in the healthcare industry is forecast to grow at an annual rate of *** percent on average.

The Labour Force Survey (LFS) is a household survey carried out monthly by Statistics Canada. Since its inception in 1945, the objectives of the LFS have been 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 categories. Data from the survey provide information on major labour market trends such as shifts in employment across industrial sectors, hours worked, labour force participation and unemployment rates, employment including the self-employed, full and part-time employment, and unemployment. It publishes monthly standard labour market indicators such as the unemployment rate, the employment rate and the participation rate. The LFS is a major source of information on the personal characteristics of the working-age population, including age, sex, marital status, educational attainment, and family characteristics. Employment estimates include detailed breakdowns by demographic characteristics, industry and occupation, job tenure, and usual and actual hours worked. This dataset is designed to provide the user with historical information from the Labour Force Survey. The tables included are monthly and annual, with some dating back to 1976. Most tables are available by province as well as nationally. Demographic, industry, occupation and other indicators are presented in tables derived from the LFS data. The information generated by the survey has expanded considerably over the years with a major redesign of the survey content in 1976 and again in 1997, and provides a rich and detailed picture of the Canadian labour market. Some changes to the Labour Force Survey (LFS) were introduced which affect data back to 1987. There are three reasons for this revision: The revision enables the use of improved population benchmarks in the LFS estimation process. These improved benchmarks provide better information on the number of non-permanent residents There are changes to the data for the public and private sectors from 1987 to 1999. In the past, the data on the public and private sectors for this period were based on an old definition of the public sector. The revised data better reflects the current public sector definition, and therefore result in a longer time series for analysis. The geographic coding of several small Census Agglomerations (CA) has been updated historically from 1996 urban centre boundaries to 2001 CA boundaries. This affects data from January 1987 to December 2004. It is important to note that the changes to almost all estimates are very minor, with the exception of the public sector series and some associated industries from 1987 to 1999. Rates of unemployment, employment and participation are essentially unchanged, as are all key labour mark et trends. The article titled Improvements in 2006 to the LFS (also under the LFS Documentation button) provides an overview of the effect of these changes on the estimates. The seasonally-adjusted tables have been revised back three years (beginning with January 2004) based on the latest seasonal output.

The Employment Sector, a sector attached to the Ministry of Employment and Social Solidarity (MESS), makes forecasts of the labour market every year in the medium (five years) and in the long term (ten years). These forecasts cover employment by industry and occupation, as well as labour market participation and unemployment. They are based on medium and long-term economic forecasts from the Conference Board of Canada (cBDC), including those for household consumption, government spending, private and public investments, exports and imports, and exports, and imports, and exchange rate trends. If the economic growth observed during the forecast period is different from that expected by the cBDC, the evolution of employment could thus differ from what the Employment Sector foresees in its forecasts.

Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.

The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. 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 LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation. 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, data on wage rates, union status, job permanency and establishment size are also produced.

Industry analyst Eva Koronios assesses how the Canadian labour market is performing as the economy begins to shift and recover following the height of the coronavirus pandemic.

Number of persons in the labour force (employment and unemployment) and unemployment rate by North American Industry Classification System (NAICS), last 5 months. 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.

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.

Unemployment Rate in Canada decreased to 6.90 percent in June from 7 percent in May of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Employment Sector, a sector attached to the Ministry of Employment and Social Solidarity (MESS), makes forecasts of the labour market every year in the medium (five years) and in the long term (ten years). These forecasts cover employment by industry and occupation, as well as labour market participation and unemployment. They are based on medium and long-term economic forecasts from the Conference Board of Canada (cBDC), including those for household consumption, government spending, private and public investments, exports and imports, and exports, and imports, and exchange rate trends. If the economic growth observed during the forecast period is different from that expected by the cBDC, the evolution of employment could thus differ from what the Employment Sector foresees in its forecasts.

The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. 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 LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation. 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, data on wage rates, union status, job permanency and establishment size are also produced.

The Labour Force Survey (LFS) is a household survey carried out monthly by Statistics Canada. Since its inception in 1945, the objectives of the LFS have been to divide the working-age population into three mutually exclusive categories in relation to the labour market – employed, unemployed, and not in the labour force – and to provide descriptive and explanatory data on each of these groups. Data from the survey provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked, labour force participation and unemployment rates. This public use microdata file (PUMF) contains non-aggregated data for a wide variety of variables collected from the LFS. This product is for users who prefer to do their own analysis by focusing on specific subgroups in the population or by cross-classifying variables that are not in LFS catalogued products. The data have been modified to ensure that no individual or business is directly or indirectly identified. Variables most likely to lead to identification of an individual are removed from the microdata file or are collapsed to broader categories.

This statistic shows the total number of employed persons in Canada in 2023, distinguished by industry classification. In 2023, about 1.8 million people were employed in the manufacturing sector in Canada.

Overview: Each quarter, the Temporary Foreign Worker Program (TFWP) publishes Labour Market Impact Assessment (LMIA) statistics on Open Government Data Portal, including quarterly and annual LMIA data related to, but not limited to, requested and approved TFW positions, employment location, employment occupations, sectors, TFWP stream and temporary foreign workers by country of origin. The TFWP does not collect data on the number of TFWs who are hired by an employer and have arrived in Canada. The decision to issue a work permit rests with Immigration, Refugees and Citizenship Canada (IRCC) and not all positions on a positive LMIA result in a work permit. For these reasons, data provided in the LMIA statistics cannot be used to calculate the number of TFWs that have entered or will enter Canada. IRCC publishes annual statistics on the number of foreign workers who are issued a work permit: https://open.canada.ca/data/en/dataset/360024f2-17e9-4558-bfc1-3616485d65b9. Please note that all quarterly tables have been updated to NOC 2021 (5 digit and training, education, experience and responsibilities (TEER) based). As such, Table 5, 8, 17, and 24 will no longer be updated but will remain as archived tables. Frequency of Publication: Quarterly LMIA statistics cover data for the four quarters of the previous calendar year and the quarter(s) of the current calendar year. Quarterly data is released within two to three months of the most recent quarter. The release dates for quarterly data are as follows: Q1 (January to March) will be published by early June of the current year; Q2 (April to June) will be published by early September of the current year; Q3 (July to September) will be published by early December of the current year; and Q4 (October to December) will be published by early March of the next year. Annual statistics cover eight consecutive years of LMIA data and are scheduled to be released in March of the next year. Published Data: As part of the quarterly release, the TFWP updates LMIA data for 28 tables broken down by: TFW positions: Tables 1 to 10, 12, 13, and 22 to 24; LMIA applications: Tables 14 to 18; Employers: Tables 11, and 19 to 21; and Seasonal Agricultural Worker Program (SAWP): Tables 25 to 28. In addition, the TFWP publishes 2 lists of employers who were issued a positive or negative LMIA: Employers who were issued a positive LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/90fed587-1364-4f33-a9ee-208181dc0b97/resource/b369ae20-0c7e-4d10-93ca-07c86c91e6fe); and Employers who were issued a negative LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/f82f66f2-a22b-4511-bccf-e1d74db39ae5/resource/94a0dbee-e9d9-4492-ab52-07f0f0fb255b). Things to Remember: 1. When data are presented on positive or negative LMIAs, the decision date is used to allocate which quarter the data falls into. However, when data are presented on when LMIAs are requested, it is based on the date when the LMIA is received by ESDC. 2. As of the publication of 2022Q1- 2023Q4 data (published in April 2024) and going forward, all LMIAs in support of 'Permanent Residence (PR) Only' are included in TFWP statistics, unless indicated otherwise. All quarterly data in this report includes PR Only LMIAs. Dual-intent LMIAs and corresponding positions are included under their respective TFWP stream (e.g., low-wage, high-wage, etc.) This may impact program reporting over time. 3. Attention should be given for data that are presented by ‘Unique Employers’ when it comes to manipulating the data within that specific table. One employer could be counted towards multiple groups if they have multiple positive LMIAs across categories such as program stream, province or territory, or economic region. For example, an employer could request TFWs for two different business locations, and this employer would be counted in the statistics of both economic regions. As such, the sum of the rows within these ‘Unique Employer’ tables will not add up to the aggregate total.

Job training and career counselling companies are navigating a dynamic and evolving landscape. Demand for specialized skills has been expanding across various sectors, leading job training providers to become increasingly critical in maintaining workforce competitiveness. COVID-19 accelerated a shift toward digital learning, allowing training companies to provide more flexible and accessible solutions. This transition to online platforms has enabled them to broaden their reach and better cater to diverse learning needs. At the same time, new tech advances, like artificial intelligence, remote work and the push for more inclusive workplaces, have expanded the importance of job training across a broader range of industries. Canada's fast-growing sectors have also strengthened this industry by creating new opportunities and demand for tailored educational programs, including boot camps and specialized workshops with quick turnaround times. Job training providers' role in supporting Canada has supported strong revenue performance, with revenue rising at a CAGR of 6.5% to $3.9 billion over the past five years, including estimated growth of 4.5% in 2024. One of the most critical trends within the current job training environment is the emphasis on digital skills development. As various industries increasingly incorporate new technologies, demand for a workforce proficient in digital skills has surged. Various new training programs have been launched to address this, ranging from online courses through partnerships with educational institutions to industry-specific boot camps and workshops organized by private companies and non-profit organizations. Government initiatives and policy frameworks have also supported these efforts, aiming to bridge Canada's digital skills gap. Several current trends will continue to influence the Canadian industry. Growing critical sectors, like renewables and biomanufacturing, will create a greater need for tailored job training programs to meet the specific demands of these knowledge-intensive fields. As Canada's population continues to grow and diversify, the industry must also adapt to a more extensive and varied workforce. Addressing the country's skills gap will remain a key issue, supporting demand for more targeted initiatives to upskill and reskill workers across various industries. Training providers will benefit from increased partnerships with government bodies, which help drive awareness and access to programs. In all, revenue will continue expanding, rising at a CAGR of 1.7% to an estimated $4.3 billion over the next five years.

Quarterly series on labour productivity growth and related variables have been published for the first time on December 20th, 2000. These statistical series go back to the first quarter of 1981. The data are published two months after the reference quarter. The quarterly productivity measures are meant to assist in the analysis of the short-run relationship between the fluctuations of output, employment, compensation and hours worked. This measure is fully comparable with the United States quarterly measure. The quarterly estimations of this table are limited to the overall business sector. This aggregate excludes government and non-profit institutions expenditures on primary factors as well as the output of households (including the rental value of owner-occupied dwellings). Corresponding exclusions are also made to labour compensation and hours worked to make output and labour input data consistent with one another. The real output of the business sector is constructed using a Fisher-chained index, after excluding from GDP at market prices the real gross value added of the government sector, of the non-profit institutions and of households (including the rental value of owner-occupied dwellings). This approach is similar to that used for the quarterly productivity of the business sector in the United States. The estimate of the total number of jobs covers four main categories: employee jobs, work owner of an unincorporated business, own account self-employment, and unpaid family jobs. This last category is found mainly in sectors where family firms are important (agriculture and retail trade, in particular). Jobs data are consistent with the System of National Accounts. This is the quarterly average of hours worked for jobs in all categories. The number of hours worked in all jobs is the quarterly average for all jobs times the annual average hours worked in all jobs. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour productivity is a measure of real gross domestic product (GDP) per hour worked. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This measures the cost of labour input required to produce one unit of output, and equals labour compensation in current dollars divided by the real output. It is often calculated as the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure inflation pressures arising from wage growth. Unit non-labour payments are the non-labour payments associated with each unit of output of goods and services, and they are calculated as the non-labour payments divided by the real output. The implicit price deflator is equal to current-dollar output, divided by real output. The output measure is consistent with the Quarterly Income and Expenditure Accounts, prepared by the National Economic Accounts Division. Labor share is equal to the labour compensation divided by current dollar output. The output measure is consistent with the Quarterly Income and Expenditure Accounts, prepared by the National Economic Accounts Division. Current-dollar gross domestic product (GDP) in business sector equals current-dollar GDP in the economy less the gross value added of government, nonprofit institutions, households, and the rental of owner-occupied-dwellings. The output measure is consistent with the Quarterly Income and Expenditure Accounts. The total compensation for all jobs consists of all payments in cash or in kind made by domestic producers to workers for services rendered. It includes wages and salaries and employer's social contributions of employees, plus an imputed labour income for self-employed workers. Non-labour payments are the excess of current-dollar output in the business sector over corresponding labour compensation, and include non-labour costs as well as corporate profits and the profit-type income of proprietors. Non-labour costs include interest, depreciation, rent, and indirect business taxes. Unit labour cost in United States dollars is the equivalent of the ratio of Canadian unit labour cost to the exchange rate. This latter corresponds to the United States dollar value expressed in Canadian dollars.

Continuous droughts in Western Canada are expected to yield the weakest canola production figures since 2008.