Unemployment Rate in the United States increased to 4.30 percent in August from 4.20 percent in July of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This statistic shows the U.S. unemployment rate from 1971 to 2015, by income tier. In 2015, about 4 percent of U.S. adult residents that were part of the middle class, were unemployed.

This study defined middle class income households as those with an income between 67 and 200 percent of the U.S. median household income, after adjustment for household size. Middle class income ranges from about 42,000 U.S. dollars to about 126,000 U.S. dollars per year for a three-person household.

In 1990, the unemployment rate of the United States stood at 5.6 percent. Since then there have been many significant fluctuations to this number - the 2008 financial crisis left millions of people without work, as did the COVID-19 pandemic. By the end of 2022 and throughout 2023, the unemployment rate came to 3.6 percent, the lowest rate seen for decades. However, 2024 saw an increase up to four percent. For monthly updates on unemployment in the United States visit either the monthly national unemployment rate here, or the monthly state unemployment rate here. Both are seasonally adjusted. UnemploymentUnemployment is defined as a situation when an employed person is laid off, fired or quits his work and is still actively looking for a job. Unemployment can be found even in the healthiest economies, and many economists consider an unemployment rate at or below five percent to mean there is 'full employment' within an economy. If former employed persons go back to school or leave the job to take care of children they are no longer part of the active labor force and therefore not counted among the unemployed. Unemployment can also be the effect of events that are not part of the normal dynamics of an economy. Layoffs can be the result of technological progress, for example when robots replace workers in automobile production. Sometimes unemployment is caused by job outsourcing, due to the fact that employers often search for cheap labor around the globe and not only domestically. In 2022, the tech sector in the U.S. experienced significant lay-offs amid growing economic uncertainty. In the fourth quarter of 2022, more than 70,000 workers were laid off, despite low unemployment nationwide. The unemployment rate in the United States varies from state to state. In 2021, California had the highest number of unemployed persons with 1.38 million out of work.

Measure of Employment rates from 1971 to 2015. Employment rate shows the take up of employment in percentage terms from 1971 to 2015 across England.

Employment and unemployment data by city for places in San Mateo County. CDP is "Census Designated Place" - a recognized community that was unincorporated at the time of the 2000 Census.

1) Data may not add due to rounding. All unemployment rates shown are calculated on unrounded data. 2) These data are not seasonally adjusted.

Methodology: Monthly city and CDP labor force data are derived by multiplying current estimates of county employment and unemployment by the employment and unemployment shares (ratios) of each city and CDP at the time of the 2000 Census. Ratios for cities of 25,000 or more persons were developed from special tabulations based on household population only from the Bureau of Labor Statistics. For smaller cities and CDP, ratios were calculated from published census data.

City and CDP unrounded employment and unemployment are summed to get the labor force. The unemployment rate is calculated by dividing unemployment by the labor force. Then the labor force, employment, and unemployment are rounded.

This method assumes that the rates of change in employment and unemployment, since 2000, are exactly the same in each city and CDP as at the county level (i.e., that the shares are still accurate). If this assumption is not true for a specific city or CDP, then the estimates for that area may not represent the current economic conditions. Since this assumption is untested, caution should be employed when using these data.

In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

Male Employment: Commerce Industry as % of Labour Force data was reported at 15.287 % in Mar 2019. This records an increase from the previous number of 14.992 % for Feb 2019. Male Employment: Commerce Industry as % of Labour Force data is updated monthly, averaging 15.160 % from Jan 2005 (Median) to Mar 2019, with 171 observations. The data reached an all-time high of 16.461 % in Apr 2007 and a record low of 13.775 % in Aug 2017. Male Employment: Commerce Industry as % of Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G011: Employment Rate: ENOE 2015: Age 15 and Above. Since May 2013, Unemployment Rate is not comparable to prior months due to the new population projection data from CONAPO are incorporated.

Mexico Labour Force: Employment Rate: Female data was reported at 96.615 % in Mar 2019. This records an increase from the previous number of 96.530 % for Feb 2019. Mexico Labour Force: Employment Rate: Female data is updated monthly, averaging 95.659 % from Jan 2005 (Median) to Mar 2019, with 171 observations. The data reached an all-time high of 97.164 % in Dec 2005 and a record low of 92.959 % in Aug 2009. Mexico Labour Force: Employment Rate: Female data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G011: Employment Rate: ENOE 2015: Age 15 and Above. Since May 2013, Unemployment Rate is not comparable to prior months due to the new population projection data from CONAPO are incorporated.

Graph and download economic data for Unemployment Rate - Black or African American (LNS14000006) from Jan 1972 to Aug 2025 about African-American, 16 years +, household survey, unemployment, rate, and USA.

Unemployment Rate in Bolivia decreased to 2.40 percent in the second quarter of 2025 from 3.10 percent in the first quarter of 2025. This dataset provides - Bolivia Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Explore the dataset on unemployment rates for Saudis and non-Saudis by sex in Saudi Arabia . Gain insights on labor trends and gender disparities with SAMA Annual data.

Labor, Unemployment, Nationality, Gender, SAMA Annual

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Unemployment Rate in Germany remained unchanged at 6.30 percent in August. This dataset provides the latest reported value for - Germany Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Mexico Employment: Other Industry as % of Total Labour Force data was reported at 0.757 % in Mar 2019. This records an increase from the previous number of 0.749 % for Feb 2019. Mexico Employment: Other Industry as % of Total Labour Force data is updated monthly, averaging 0.834 % from Jan 2005 (Median) to Mar 2019, with 171 observations. The data reached an all-time high of 1.083 % in Mar 2005 and a record low of 0.660 % in Mar 2011. Mexico Employment: Other Industry as % of Total Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G011: Employment Rate: ENOE 2015: Age 15 and Above. Since May 2013, Unemployment Rate is not comparable to prior months due to the new population projection data from CONAPO are incorporated.

Unemployment Rate in Philippines increased to 5.30 percent in July from 3.70 percent in June of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Mexico Employment: Workers without Payment as % of Total Labour Force data was reported at 4.321 % in Mar 2019. This records a decrease from the previous number of 4.545 % for Feb 2019. Mexico Employment: Workers without Payment as % of Total Labour Force data is updated monthly, averaging 6.104 % from Jan 2005 (Median) to Mar 2019, with 171 observations. The data reached an all-time high of 7.867 % in Jul 2005 and a record low of 3.900 % in Mar 2018. Mexico Employment: Workers without Payment as % of Total Labour Force data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G011: Employment Rate: ENOE 2015: Age 15 and Above. Since May 2013, Unemployment Rate is not comparable to prior months due to the new population projection data from CONAPO are incorporated.

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.

Unemployment Rate in Japan decreased to 2.30 percent in July from 2.50 percent in June of 2025. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Employment Rate in North Korea remained unchanged at 74.20 percent in 2015 from 74.20 percent in 2014. This dataset provides - North Korea Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Total: 15 Years or over for Brazil (LREMTTTTBRQ156S) from Q2 2002 to Q3 2015 about 15 years +, employment-population ratio, Brazil, population, employment, and rate.

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.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, 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.