Non Farm Payrolls in the United States increased by 22 thousand in August of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-1st data was reported at -49.000 Person th in Feb 2025. This records a decrease from the previous number of -32.000 Person th for Jan 2025. United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-1st data is updated monthly, averaging 10.000 Person th from Jan 1979 (Median) to Feb 2025, with 552 observations. The data reached an all-time high of 437.000 Person th in Nov 2021 and a record low of -672.000 Person th in Mar 2020. United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-1st 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.

In October 2024, the total nonfarm payroll employment increased by around 12,000 people in the United States. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.

Graph and download economic data for Total Nonfarm Private Payroll Employment (ADPMNUSNERSA) from Jan 2010 to Aug 2025 about payrolls, nonfarm, private, employment, and USA.

Data on monthly payroll growth are noisy and subject to revisions, making real-time assessment of the health of the labor market challenging. We use the information encoded in the Kansas City Fed’s Labor Market Conditions Indicators (LMCI) to get a cleaner picture of payroll growth. According to the LMCI-implied estimates of payroll growth, the labor market may be stronger than official data suggest.

United States Employment: NF: Over-the-Month Change: Revision: 3rd-2nd data was reported at -6.000 Person th in Feb 2025. This records a decrease from the previous number of 3.000 Person th for Jan 2025. United States Employment: NF: Over-the-Month Change: Revision: 3rd-2nd data is updated monthly, averaging 6.000 Person th from Jan 1979 (Median) to Feb 2025, with 552 observations. The data reached an all-time high of 796.000 Person th in Mar 1996 and a record low of -716.000 Person th in Mar 1992. United States Employment: NF: Over-the-Month Change: Revision: 3rd-2nd 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.

Revisions of earnings and employment statistics from Pay As You Earn (PAYE) Real Time Information (RTI), UK, monthly.

United States Employment: NF: Over-the-Month Change: Revision: 2nd-1st data was reported at -89.000 Person th in Mar 2025. This records a decrease from the previous number of -36.000 Person th for Feb 2025. United States Employment: NF: Over-the-Month Change: Revision: 2nd-1st data is updated monthly, averaging 1.000 Person th from Jan 1979 (Median) to Mar 2025, with 554 observations. The data reached an all-time high of 283.000 Person th in Sep 1983 and a record low of -242.000 Person th in Mar 2020. United States Employment: NF: Over-the-Month Change: Revision: 2nd-1st 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.

Private businesses in the United States hired 54 thousand workers in August of 2025 compared to 106 thousand in July of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-2nd data was reported at -15.000 Person th in Feb 2025. This records a decrease from the previous number of -14.000 Person th for Jan 2025. United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-2nd data is updated monthly, averaging 11.500 Person th from Jan 1979 (Median) to Feb 2025, with 552 observations. The data reached an all-time high of 398.000 Person th in Nov 2021 and a record low of -492.000 Person th in Mar 2020. United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-2nd 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.

In October 2024, employment in private education and health services increased by roughly 57,000 in the United States from September 2024. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.

United States Employment: NF: sa: Over-the-Month Change: Revision: 2nd-1st data was reported at -43.000 Person th in Mar 2025. This records a decrease from the previous number of -34.000 Person th for Feb 2025. United States Employment: NF: sa: Over-the-Month Change: Revision: 2nd-1st data is updated monthly, averaging 2.000 Person th from Jan 1979 (Median) to Mar 2025, with 554 observations. The data reached an all-time high of 311.000 Person th in Dec 2021 and a record low of -186.000 Person th in Dec 1979. United States Employment: NF: sa: Over-the-Month Change: Revision: 2nd-1st 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.

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).

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 market 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.

According to a survey among private companies in Japan, wage revisions resulted in the monthly scheduled wage person increasing by an average of almost ** thousand Japanese yen in 2024. The figure includes companies with implemented and planned salary cuts and increases, as well as companies, which have decided not to revise wages.

Nonfarm Payrolls Private in the United States increased by 38 thousand in August of 2025. This dataset provides the latest reported value for - United States Nonfarm Payrolls - Private - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In the first half of 2025, the number of Polish companies planning to increase salaries grew, while the number of those planning to remain at the same level compared to the previous year decreased.

View monthly updates and historical trends for US Nonfarm Payrolls MoM. from United States. Source: Bureau of Labor Statistics. Track economic data with Y…

Nearly ** percent of companies in Poland planned to raise salaries in 2023.

In a survey among private companies in Japan, around **** percent of companies reported an increase in the average monthly wage per person in 2024. The share of companies with average wages per person rising was the highest among large corporations with ***** employees or more. While around *** percent of companies that revised wages implemented wage cuts, only *** percent of companies reported a decline in the average wage per person.