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.

The unemployment rate in Brazil, which had already been on a rise since December 2019, soared amidst the COVID-19 pandemic. In March and April 2021, this figure stood close to ** percent. However, since May 2021, this rate has been decreasing at a rapid pace. As of March 2025, the unemployment rate stood at * percent.Figures represent three-month average unemployment rates, calculated between the indicated month and the two previous consecutive months.

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.

In 2025, it was estimated that over 163 million Americans were in some form of employment, while 4.16 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.

This map shows unemployment in the USA in 2016 by counties and census tracts. The map shows both unemployment rate and the count of population over age 16 that is unemployed. The national average unemployment rate was 4.9% at the time this map was created (January 2017). The map colors are visually centered around 4.9 to highlight areas above or below the national rate. Areas in maroon are above the national average and areas in light blue are below. The size of the symbols show the count of unemployed population over 16 years old. Data source: Esri 2016 Updated USA Demographics

ANOFM calculates and publishes statistical indicators on registered unemployment, according to the legal provisions. Number of registered unemployed represents both the unemployed compensated (unemployed beneficiaries of benefits with experience in work and unemployed beneficiaries of unemployment benefit without work experience/educational graduates) and the unemployed unpaid (without unemployment benefit) and are based on the data from the primary documents and records from the database of the territorial employment agencies. Represents the stock at the end of the reference month. The unemployment rate is determined as a ratio between the number of unemployed registered with the county and Bucharest employment agencies (allowed and unpaid) at the end of the reference month and the civilly active population. The active civilian population represents the potential labour supply and employment of the population comprising the civil employed population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics by the labour force balance at the level of the country, development region and county. The unemployment rate is calculated with the civil active population as of 1 January 2017. The total number of unemployed registered is structured on: sexes (women, men); — type of compensation (allowed, not paid); level of education (without studies, primary education, secondary education, secondary education, post-secondary education, vocational education/arts and trades, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). it’s the first time I've ever heard about it, but I'm not sure I'm going to be able to do it. Number of registered unemployed represents both the unemployed compensated (unemployed beneficiaries of benefits with experience in work and unemployed beneficiaries of unemployment benefit without work experience/educational graduates) and the unemployed unpaid (without unemployment benefit) and are based on the data from the primary documents and records from the database of the territorial employment agencies. Represents the stock at the end of the reference month. The unemployment rate is determined as a ratio between the number of unemployed registered with the county and Bucharest employment agencies (allowed and unpaid) at the end of the reference month and the civilly active population. The active civilian population represents the potential labour supply and employment of the population comprising the civil employed population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics by the labour force balance at the level of the country, development region and county. The unemployment rate is calculated with the civil active population as of 1 January 2017. The total number of unemployed registered is structured on: sexes (women, men); — type of compensation (allowed, not paid); level of education (without studies, primary education, secondary education, secondary education, post-secondary education, vocational education/arts and trades, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). averages of residence (urban, rural).

Youth Unemployment Rate in the United States increased to 10.50 percent in August from 10 percent in July of 2025. This dataset provides - United States Youth Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

ANOFM calculates and publishes statistical indicators on registered unemployment, according to the legal provisions. Number of registered unemployed represents both the unemployed compensated (unemployed beneficiaries of benefits with experience in work and unemployed beneficiaries of unemployment benefit without work experience/educational graduates) and the unemployed unpaid (without unemployment benefit) and are based on the data from the primary documents and records from the database of the territorial employment agencies. Represents the stock at the end of the reference month. The unemployment rate is determined as a ratio between the number of unemployed registered with the county and Bucharest employment agencies (allowed and unpaid) at the end of the reference month and the civilly active population. The active civilian population represents the potential labour supply and employment of the population comprising the civil employed population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics by the labour force balance at the level of the country, development region and county. The unemployment rate is calculated with the civil active population as of 1 January 2017. The total number of unemployed registered is structured on: sexes (women, men); — type of compensation (allowed, not paid); level of education (without studies, primary education, secondary education, secondary education, post-secondary education, vocational education/arts and trades, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). it’s the first time I've ever heard about it, but I'm not sure I'm going to be able to do it. Number of registered unemployed represents both the unemployed compensated (unemployed beneficiaries of benefits with experience in work and unemployed beneficiaries of unemployment benefit without work experience/educational graduates) and the unemployed unpaid (without unemployment benefit) and are based on the data from the primary documents and records from the database of the territorial employment agencies. Represents the stock at the end of the reference month. The unemployment rate is determined as a ratio between the number of unemployed registered with the county and Bucharest employment agencies (allowed and unpaid) at the end of the reference month and the civilly active population. The active civilian population represents the potential labour supply and employment of the population comprising the civil employed population and the registered unemployed. The indicator is determined annually by the National Institute of Statistics by the labour force balance at the level of the country, development region and county. The unemployment rate is calculated with the civil active population as of 1 January 2017. The total number of unemployed registered is structured on: sexes (women, men); — type of compensation (allowed, not paid); level of education (without studies, primary education, secondary education, secondary education, post-secondary education, vocational education/arts and trades, university education); age groups (under 25 years, 25-29 years, 30-39 years, 40-49 years, 50-55 years, over 55 years). averages of residence (urban, rural).

China Surveyed Unemployment Rate: Urban data was reported at 5.200 % in Mar 2025. This records a decrease from the previous number of 5.400 % for Feb 2025. China Surveyed Unemployment Rate: Urban data is updated monthly, averaging 5.200 % from Jan 2017 (Median) to Mar 2025, with 99 observations. The data reached an all-time high of 6.200 % in Feb 2020 and a record low of 4.800 % in Nov 2018. China Surveyed Unemployment Rate: Urban data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.GB: Surveyed Unemployment. [COVID-19-IMPACT]

Japan EFS: Quarterly Unemployment Rate: Calender Year: Next 27 Mths data was reported at 2.590 % in Jan 2018. This records a decrease from the previous number of 2.810 % for Jan 2017. Japan EFS: Quarterly Unemployment Rate: Calender Year: Next 27 Mths data is updated monthly, averaging 3.925 % from Jan 2005 (Median) to Jan 2018, with 22 observations. The data reached an all-time high of 4.980 % in Feb 2009 and a record low of 2.590 % in Jan 2018. Japan EFS: Quarterly Unemployment Rate: Calender Year: Next 27 Mths data remains active status in CEIC and is reported by Japan Center for Economic Research. The data is categorized under Global Database’s Japan – Table JP.S066: Economic Forecast Survey.

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.

Graph and download economic data for Unemployment Rate in Pennsylvania (PAUR) from Jan 1976 to Aug 2025 about PA, unemployment, rate, and USA.

Unemployment Rate in Howard County, AR was 3.40% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Howard County, AR reached a record high of 8.00 in January of 1990 and a record low of 3.10 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Howard County, AR - last updated from the United States Federal Reserve on October of 2025.

United States Unemployment Rate: Arkansas data was reported at 3.300 % in Oct 2018. This stayed constant from the previous number of 3.300 % for Sep 2018. United States Unemployment Rate: Arkansas data is updated monthly, averaging 6.250 % from Jan 1976 (Median) to Oct 2018, with 514 observations. The data reached an all-time high of 11.500 % in Jan 1983 and a record low of 3.200 % in Oct 2017. United States Unemployment Rate: Arkansas data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G057: Unemployment Rate: By State.

United States Flows Into Unemployment: Other data was reported at 9.000 Person th in Oct 2018. This records a decrease from the previous number of 16.000 Person th for Sep 2018. United States Flows Into Unemployment: Other data is updated monthly, averaging 21.000 Person th from Feb 1990 (Median) to Oct 2018, with 345 observations. The data reached an all-time high of 86.000 Person th in Jan 2012 and a record low of 0.000 Person th in Jan 2017. United States Flows Into Unemployment: Other data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G012: Current Population Survey: Labour Force Status Flows.

Unemployment Rate in Kauai County, HI was 2.60% in January of 2024, according to the United States Federal Reserve. Historically, Unemployment Rate in Kauai County, HI reached a record high of 16.20 in January of 2020 and a record low of 2.20 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Unemployment Rate in Kauai County, HI - last updated from the United States Federal Reserve on September of 2025.

Graph and download economic data for Harmonized Unemployment Rate: Total: All Persons for the Group of Seven (DISCONTINUED) (LRHUTTTTG7M156S) from Jan 1991 to Oct 2017 about G7, harmonized, persons, unemployment, and rate.

Unemployment rate, participation rate, and employment rate by educational attainment, gender and age group, annual.

The statistic shows the number of new jobs created in Mexico between January and April 2017, by state. In that period, there were 38,226 new jobs created in the state of Jalisco. The unemployment rate in Mexico in 2017 was estimated at 4.41 percent.