The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In August 2025, the national unemployment rate was at 4.3 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends.

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

View monthly updates and historical trends for US Unemployment Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCha…

The unemployment rate of the United Kingdom was five percent in September 2025, up from 4.8 percent in the previous month, and the highest rate of unemployment since 2021. Before the arrival of the COVID-19 pandemic, the UK had relatively low levels of unemployment. Between January 2000 and the most recent month, unemployment was highest in November 2011, when the unemployment rate hit 8.5 percent. Will unemployment continue to rise in 2025? Although low by historic standards, there has been a noticeable uptick in the UK's unemployment rate, with other labor market indicators also pointing to further loosening. In December 2024, the number of job vacancies in the UK fell to its lowest level since May 2021, while payrolled employment declined by 47,000 compared with November. Whether this is a continuation of a broader cooling of the labor market since 2022 or a reaction to more recent economic developments, such as upcoming tax rises for employers, remains to be seen. Forecasts made in late 2024 suggest that the unemployment rate will remain relatively stable in 2025, averaging out at 4.1 percent and falling again to four percent in 2026.
Demographics of the unemployed As of the third quarter of 2024, the unemployment rate for men was slightly higher than that of women, at 4.4 percent, compared to 4.1 percent. During the financial crisis at the end of the 2000s, the unemployment rate for women peaked at a quarterly rate of 7.7 percent, whereas for men, the rate was 9.1 percent. Unemployment is also heavily associated with age, and young people in general are far more vulnerable to unemployment than older age groups. In late 2011, for example, the unemployment rate for those aged between 16 and 24 reached 22.3 percent, compared with 8.2 percent for people aged 25 to 34, while older age groups had even lower peaks during this time.

Graph and download economic data for Unemployment Rate - Asian (LNU04032183) from Jan 2000 to Sep 2025 about asian, 16 years +, household survey, unemployment, rate, and USA.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August 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.

Graph and download economic data for Unemployment Rate in North Carolina (NCUR) from Jan 1976 to Aug 2025 about NC, unemployment, rate, and USA.

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.

Graph and download economic data for Unemployment Rate in Michigan (MIUR) from Jan 1976 to Aug 2025 about MI, unemployment, rate, and USA.

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.

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).

Unemployment Rate in Japan remained unchanged at 2.60 percent in October. 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.

Graph and download economic data for Unemployment Level (UNEMPLOY) from Jan 1948 to Sep 2025 about 16 years +, household survey, unemployment, and USA.

Unemployment Rate in the United Kingdom increased to 5 percent in September from 4.80 percent in August of 2025. This dataset provides the latest reported value for - United Kingdom Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The domain 'Youth Employment' is based on the results of the European Union Labour Force Survey (EU-LFS).

The EU-LFS is a quarterly household sample survey carried out in the Member States of the European Union, EFTA countries (except for Liechtenstein) and Candidate Countries (Montenegro, North Macedonia, Serbia and Turkey). It is the main source of information about the situation and trends on the labour market in the European Union.

Since 1 January 2021, the EU-LFS is based on Regulation (EU) 2019/1700, also called the Integrated European Social Statistics Framework Regulation (IESS FR), and its Commission Implementing Regulation (EU) 2019/2240.

According to the regulations in force since 1 January 2021, the EU-LFS is organised in 9 topics:

• Technical items
• Person and household characteristics;
• Labour market participation;
• Educational attainment and background;
• Job tenure, work biography and previous work experience;
• Working conditions including working hours and working time arrangements;
• Participation in education and training;
• Health: status and disability, access to, availability and use of health care and health determinants;
• Income, consumption and elements of wealth, including debts.

The survey's target population consists of all persons in private households, although the variables related to labour market are only collected for persons aged 15-89 years and education and training for persons aged 15-74 years.

Detailed information on main features, legal basis, methodology and data as well as on the historical development of the EU-LFS is available on the EU-LFS (Statistics Explained) webpage.

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.

This is monthly US unemployment rate data from January 2017 to November 2022. The datasets were curated from the Federal Reserve Economic Data that can be found here.

Definition of Unemployment Rate :

"The unemployment rate represents the number of unemployed as a percentage of the labour force. Labour force data are restricted to people 16 years of age and older, who currently reside in 1 of the 50 states or the District of Columbia, who do not reside in institutions (e.g., penal and mental facilities, homes for the aged), and who are not on active duty in the Armed Forces." (Source: FRED website)

Files

There are two datasets. The first dataset contains the total US unemployment rate and the second dataset contains unemployment rates per US state.

unemployment_rate_us.csv

unemployment_us - This is the total seasonally adjusted US unemployment rate in percent. You can find the data source here. first_day_of_month - The date of the first day of the month.

unemployment_rates.csv

first_day_of_month - The date of the first day of the month. state - The name of the state. unemployment_rate - This is the seasonally adjusted unemployment rate per US state in percent. You can find the data source here.

Feel free to let me know if you have any open questions with regard to the dataset.

Happy data science! ;)

Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

Youth unemployment stood at 9.7 percent in February 2025. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate by state can be found here, and the annual national unemployment rate can be found here. Youth unemployment in the United States The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment. During the period in question, youth unemployment ranged from a high of 9.9 percent in April 2021, to a low of 6.5 percent in April 2023. The national youth unemployment rate can be compared to the monthly national unemployment rate in the United States, although youth unemployment tends to be much higher due to higher rates of participation in education. In May 2023, U.S. unemployment was at 3.7 percent, compared with 7.4 percent amongst those 16 to 24 years old. Additionally, as of May 2023, Nevada had the highest state unemployment rate of all U.S. states, at 5.4 percent.

Unemployment Rate in India remained unchanged at 5.20 percent in October. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.