https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence
The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. 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. 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.LFS revisions: Labour force surveys are revised on a periodic basis. The most recent revisions took place in 2025. As of January 2025, LFS microdata and estimates have been adjusted to reflect population counts from the 2021 Census, with revisions going back to 2011. Additionally, several changes were made to key variables on the PUMFs: Survey weights (FINALWT) have been updated to use 2021 Census population control totals. Sub-provincial geography (CMA) has been updated to the 2021 Standard Geographical Classification (SGC) boundaries. All industry data (NAICS_21) was revised to use the latest standard, North American Industry Classification System (NAICS) 2022. Coding enhancements were applied to improve longitudinal consistency of detailed National Occupational Classification data (NOC_10 and NOC_43). Data were revised to use the gender of person instead of sex (GENDER).
As per the Periodic Labour Force Survey of 2024, the unemployment rate among individuals with secondary education and above was 7.1 percent, the highest among other levels of education. Although the unemployment rate within this category fell from the previous financial year. Potential of the education sectorIndia's education sector is estimated to be valued at around 117 billion U.S. dollars, and it is expected to grow to 225 billion U.S. dollars by 2025. It is a growing trend for many young Indians to attain two or three degrees in the hope of attaining a job. One of the largest young populations in the world presents a unique opportunity for the country in the education sector. Educated unemployed Youth unemployment in India was over 15 percent in 2023. This is despite the abundance of highly educated professionals. The data suggests a sharp mismatch between the skills of the labor force and job creation. The lack of jobs in the non-farm sector for the newly graduated young population is a major cause of worry for the Indian economy.
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Employment: NF: IF: PI: Newspaper, Periodical, Book & Directory (NP) data was reported at 262.000 Person th in Mar 2025. This records an increase from the previous number of 261.800 Person th for Feb 2025. Employment: NF: IF: PI: Newspaper, Periodical, Book & Directory (NP) data is updated monthly, averaging 658.600 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 802.900 Person th in Jun 2000 and a record low of 261.800 Person th in Feb 2025. Employment: NF: IF: PI: Newspaper, Periodical, Book & Directory (NP) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll.
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United States Employment: NF: sa: IF: PI: Newsppr, Periodical, Book&Directory (NP) data was reported at 262.600 Person th in Mar 2025. This records a decrease from the previous number of 262.700 Person th for Feb 2025. United States Employment: NF: sa: IF: PI: Newsppr, Periodical, Book&Directory (NP) data is updated monthly, averaging 659.700 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 800.700 Person th in Jun 2000 and a record low of 262.600 Person th in Mar 2025. United States Employment: NF: sa: IF: PI: Newsppr, Periodical, Book&Directory (NP) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.
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United States Employment: NF: sa: IF: PI: NP: Periodical data was reported at 64.700 Person th in Mar 2025. This records an increase from the previous number of 64.600 Person th for Feb 2025. United States Employment: NF: sa: IF: PI: NP: Periodical data is updated monthly, averaging 142.000 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 173.500 Person th in Jun 2000 and a record low of 64.100 Person th in Oct 2024. United States Employment: NF: sa: IF: PI: NP: Periodical data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.
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United States Avg Weekly Earnings: sa: IF: PI: NP: Periodical data was reported at 1,859.870 USD in Mar 2025. This records a decrease from the previous number of 1,888.750 USD for Feb 2025. United States Avg Weekly Earnings: sa: IF: PI: NP: Periodical data is updated monthly, averaging 1,331.760 USD from Mar 2006 (Median) to Mar 2025, with 229 observations. The data reached an all-time high of 1,918.090 USD in Jan 2025 and a record low of 990.410 USD in May 2007. United States Avg Weekly Earnings: sa: IF: PI: NP: Periodical data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Weekly Earnings: Seasonally Adjusted.
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United States Avg Hourly Earnings: sa: IF: PI: Newspaper, Periodical, Book (NP) data was reported at 42.200 USD in Mar 2025. This records a decrease from the previous number of 42.300 USD for Feb 2025. United States Avg Hourly Earnings: sa: IF: PI: Newspaper, Periodical, Book (NP) data is updated monthly, averaging 29.150 USD from Mar 2006 (Median) to Mar 2025, with 229 observations. The data reached an all-time high of 42.360 USD in Jan 2025 and a record low of 23.060 USD in Mar 2006. United States Avg Hourly Earnings: sa: IF: PI: Newspaper, Periodical, Book (NP) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G074: Current Employment Statistics: Average Hourly Earnings: Seasonally Adjusted.
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United States AHE: PW: IF: PI: Newspaper, Periodical, Book & Directory (NP) data was reported at 35.600 USD in Mar 2025. This records an increase from the previous number of 35.440 USD for Feb 2025. United States AHE: PW: IF: PI: Newspaper, Periodical, Book & Directory (NP) data is updated monthly, averaging 19.830 USD from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 35.870 USD in Apr 2023 and a record low of 11.380 USD in Jan 1990. United States AHE: PW: IF: PI: Newspaper, Periodical, Book & Directory (NP) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Hourly Earnings: Production Workers.
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United States Avg Hourly Earnings: sa: IF: PI: NP: Periodical data was reported at 51.520 USD in Mar 2025. This records a decrease from the previous number of 52.320 USD for Feb 2025. United States Avg Hourly Earnings: sa: IF: PI: NP: Periodical data is updated monthly, averaging 36.570 USD from Mar 2006 (Median) to Mar 2025, with 229 observations. The data reached an all-time high of 52.840 USD in Jan 2025 and a record low of 28.410 USD in Jul 2007. United States Avg Hourly Earnings: sa: IF: PI: NP: Periodical data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Hourly Earnings: Seasonally Adjusted.
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United States Avg Hourly Earnings: IF: Newspaper, Periodical, Book & Directory data was reported at 41.860 USD in Mar 2025. This records a decrease from the previous number of 42.080 USD for Feb 2025. United States Avg Hourly Earnings: IF: Newspaper, Periodical, Book & Directory data is updated monthly, averaging 29.120 USD from Mar 2006 (Median) to Mar 2025, with 229 observations. The data reached an all-time high of 42.410 USD in Oct 2023 and a record low of 22.950 USD in Mar 2006. United States Avg Hourly Earnings: IF: Newspaper, Periodical, Book & Directory data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G073: Current Employment Statistics: Average Hourly Earnings.
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就业:非农就业数据:信息:出版行业 :报纸、期刊、书籍与目录在03-01-2025达262.000千人,相较于02-01-2025的261.800千人有所增长。就业:非农就业数据:信息:出版行业 :报纸、期刊、书籍与目录数据按月更新,01-01-1990至03-01-2025期间平均值为658.600千人,共423份观测结果。该数据的历史最高值出现于06-01-2000,达802.900千人,而历史最低值则出现于02-01-2025,为261.800千人。CEIC提供的就业:非农就业数据:信息:出版行业 :报纸、期刊、书籍与目录数据处于定期更新的状态,数据来源于U.S. Bureau of Labor Statistics,数据归类于全球数据库的美国 – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll。
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就业:非农业:经季节性调整后:信息:出版行业:报纸、期刊、书籍及名录在03-01-2025达262.600千人,相较于02-01-2025的262.700千人有所下降。就业:非农业:经季节性调整后:信息:出版行业:报纸、期刊、书籍及名录数据按月更新,01-01-1990至03-01-2025期间平均值为659.700千人,共423份观测结果。该数据的历史最高值出现于06-01-2000,达800.700千人,而历史最低值则出现于03-01-2025,为262.600千人。CEIC提供的就业:非农业:经季节性调整后:信息:出版行业:报纸、期刊、书籍及名录数据处于定期更新的状态,数据来源于U.S. Bureau of Labor Statistics,数据归类于全球数据库的美国 – Table US.G060: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted。
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就业:非农就业数据:信息:出版行业 :报纸、期刊、书籍与目录:期刊在03-01-2025达64.900千人,相较于02-01-2025的64.200千人有所增长。就业:非农就业数据:信息:出版行业 :报纸、期刊、书籍与目录:期刊数据按月更新,01-01-1990至03-01-2025期间平均值为142.000千人,共423份观测结果。该数据的历史最高值出现于07-01-2000,达174.600千人,而历史最低值则出现于01-01-2025,为64.000千人。CEIC提供的就业:非农就业数据:信息:出版行业 :报纸、期刊、书籍与目录:期刊数据处于定期更新的状态,数据来源于U.S. Bureau of Labor Statistics,数据归类于全球数据库的美国 – Table US.G056: Current Employment Statistics: Employment: Non Farm Payroll。
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就业:NF:PW:IF:PI:NP:期刊在03-01-2025达49.100千人,相较于02-01-2025的49.000千人有所增长。就业:NF:PW:IF:PI:NP:期刊数据按月更新,01-01-1990至03-01-2025期间平均值为74.700千人,共423份观测结果。该数据的历史最高值出现于06-01-2007,达112.500千人,而历史最低值则出现于05-01-2024,为46.900千人。CEIC提供的就业:NF:PW:IF:PI:NP:期刊数据处于定期更新的状态,数据来源于U.S. Bureau of Labor Statistics,数据归类于全球数据库的美国 – Table US.G: Current Employment Statistics: Employment: Production Worker: Non Farm Payroll。
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平均时薪:IF:Newspaper, Periodical, Book & Directory在03-01-2025达41.860美元,相较于02-01-2025的42.080美元有所下降。平均时薪:IF:Newspaper, Periodical, Book & Directory数据按月更新,03-01-2006至03-01-2025期间平均值为29.120美元,共229份观测结果。该数据的历史最高值出现于10-01-2023,达42.410美元,而历史最低值则出现于03-01-2006,为22.950美元。CEIC提供的平均时薪:IF:Newspaper, Periodical, Book & Directory数据处于定期更新的状态,数据来源于U.S. Bureau of Labor Statistics,数据归类于全球数据库的美国 – Table US.G073: Current Employment Statistics: Average Hourly Earnings。
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https://www.statcan.gc.ca/en/reference/licencehttps://www.statcan.gc.ca/en/reference/licence
The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. 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. 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.LFS revisions: Labour force surveys are revised on a periodic basis. The most recent revisions took place in 2025. As of January 2025, LFS microdata and estimates have been adjusted to reflect population counts from the 2021 Census, with revisions going back to 2011. Additionally, several changes were made to key variables on the PUMFs: Survey weights (FINALWT) have been updated to use 2021 Census population control totals. Sub-provincial geography (CMA) has been updated to the 2021 Standard Geographical Classification (SGC) boundaries. All industry data (NAICS_21) was revised to use the latest standard, North American Industry Classification System (NAICS) 2022. Coding enhancements were applied to improve longitudinal consistency of detailed National Occupational Classification data (NOC_10 and NOC_43). Data were revised to use the gender of person instead of sex (GENDER).