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.

Source: U.S. Bureau of Labor Statistics

Units: Percent, Seasonally Adjusted

Frequency: Monthly

The unemployment rate represents the number of unemployed as a percentage of the labor force. Labor 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.

This rate is also defined as the U-3 measure of labor underutilization.

The series comes from the 'Current Population Survey (Household Survey)'

Suggested Citation:

U.S. Bureau of Labor Statistics, Unemployment Rate [UNRATE], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/UNRATE, August 13, 2023.

The number of unemployed persons in The United States increased to 7603 Thousand in September of 2025 from 7384 Thousand in August of 2025. This dataset provides - United States Unemployed Persons - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Initial Jobless Claims in the United States decreased to 216 thousand in the week ending November 22 of 2025 from 222 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: August 2025 (preliminary values at the state and county level) The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor force Data obtained from the U.S. Bureau of Labor Statistics. Data downloaded: October 1, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNation Data Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS"s county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties. To better understand the different labor force statistics included in this map, see the diagram below from BLS:

1990 to present (approximate 2 month lag) Virginia Labor Force and Unemployment estimates by Month by County.

Special data considerations: Period values of "M01-M12" represent Months of Year; "M13" is the Annual Average.

U.S. Bureau of Labor Statistics; Local Area Unemployment Statistics, table la.data.54.Virginia Data accessed from the Bureau of Labor Statistics public database LABSTAT (https://download.bls.gov/pub/time.series/la/)

Supporting documentation can be found on the U.S. Bureau of Labor Statistics website under Local Area Unemployment Statistics, Handbook of Methods (https://www.bls.gov/opub/hom/lau/home.htm)

Survey Description: Labor force and unemployment estimates for States and local areas are developed by State workforce agencies to measure local labor market conditions under a Federal-State cooperative program. The Department of Labor develops the concepts, definitions, and technical procedures which are used by State agencies for preparation of labor force and unemployment estimates.

These estimates are derived from a variety of sources, including the Current Population Survey, the Current Employment Statistics survey, the Quarterly Census of Employment and Wages, various programs at the Census Bureau, and unemployment insurance claims data from the State workforce agencies.

To establish uniform labor force concepts and definitions in all States and areas consistent with those used for the U.S. as a whole, monthly national estimates of employment and unemployment from the Current Population Survey are used as controls (benchmarks) for the State labor force statistics.

Summary Data Available: Monthly labor force and unemployment series are available for approximately 7,500 geographic areas, including cities over 25,000 population, counties, metropolitan areas, States, and other areas.

For each area, the following measures are presented by place of residence:

• Total civilian labor force,
• Total number of people employed,
• Total number of people unemployed, and
• Unemployment rate

Data Characteristics: Rates are expressed as percents with one decimal place. Levels are measured as individual persons (not thousands) and are stored with no decimal places.

This dataset from the Bureau of Labor Statistics provides monthly estimates regarding total employment and unemployment, which together comprise the labor force. The unemployment rate is the percentage of people in the labor force who are unemployed. Our data extract lists all data published for North Carolina’s counties from January 2019 to the present. This dataset is a comprehensive nationwide representation using estimates derived from the national Current Population Survey (CPS) and American Community Survey 5-year estimates. No disaggregations by demographic or worker characteristics are included in the unemployment rate estimate. Time series reports for each variable (employment, unemployment, and labor force) are available for each geography (county) using the BLS multi-screen data tool. Preliminary estimates are released within 30 days of each month and finalized within another 30 days, resulting in a 2-month data lag. The data is available for a variety of geographic areas, including states, MSAs, counties, cities and towns, and other census regions.

This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: August 2025 (preliminary values at the state and county level) The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor force Data obtained from the U.S. Bureau of Labor Statistics. Data downloaded: October 1, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNation Data Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS"s county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties. To better understand the different labor force statistics included in this map, see the diagram below from BLS:

Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

📊 Dataset Description:

This dataset is sourced from the U.S. Bureau of Labor Statistics (BLS) Employment Situation – Table A-42. It provides detailed insights into employment and unemployment trends by educational attainment for individuals aged 25 years and older in the United States.

🌐 Source:

~**Publisher:** U.S. Bureau of Labor Statistics (BLS)

~**Table Reference:** CPS Table A-42 – Unemployed persons by duration of unemployment

~**URL:** https://www.bls.gov/web/empsit/cpseea42.htm

~**Update Frequency:** Monthly (as part of the Employment Situation release)

📑 Dataset Overview:

---The dataset includes:

~Year and Month of observation

~Employment and Unemployment counts

~Unemployment rates categorized by educational attainment, such as:

~Less than a high school diploma

~High school graduates, no college

~Some college or associate degree

~Bachelor’s degree and higher

🎯 Potential Uses:

~Analyze how education level impacts unemployment rates.

~Study long-term labor market trends across different demographics.

~Build forecasting models for employment/unemployment rates.

~Perform policy analysis to understand the role of education in job security.

⚠️ Notes:

~All values are based on the Current Population Survey (CPS) conducted by the U.S. Census Bureau for the BLS.

~The dataset may contain seasonally adjusted and non-adjusted values.

~Numbers represent civilian noninstitutional population, 25 years and older.

Labor Force Participation Rate in the United States increased to 62.40 percent in September from 62.30 percent in August of 2025. This dataset provides the latest reported value for - United States Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

U6 Unemployment Rate in the United States decreased to 8 percent in September from 8.10 percent in August of 2025. This dataset includes a chart with historical data for the United States U-6 Unemployment Rate.

Country Name: A string indicating the name of the country.

Country Code: A three-letter code uniquely identifying each country.

Year: The year to which the data corresponds.

Personal Remittances, Received (% of GDP): The percentage of Gross Domestic Product (GDP) that a country receives in the form of personal remittances from individuals living abroad.

Unemployment, Total (% of Total Labor Force): The percentage of the total labor force that is unemployed and actively seeking employment.

GDP (current US$): The Gross Domestic Product (GDP) of the country in current US dollars, representing the total value of all goods and services produced within the country's borders.

GDP Growth (Annual %): The annual percentage increase in Gross Domestic Product (GDP) from the previous year.

GDP (current US$): Another measure of Gross Domestic Product (GDP) in current US dollars, potentially from a different source or calculation.

GDP Growth (Annual %): Another measure of the annual percentage increase in Gross Domestic Product (GDP) from the previous year, potentially from a different source or calculation.

These columns provide insights into the economic aspects of a country, including the inflow of personal remittances, unemployment rates, and different measures of GDP and its growth.

Dataset Overview 📝

This dataset includes key tourism and economic indicators for over 200 countries, spanning the years from 1999 to 2023. It covers a wide range of data related to tourism arrivals, expenditures, receipts, GDP, unemployment, and inflation, helping to explore the relationship between tourism and economic growth globally.

Tourism & Economic Indicators:

• tourism_receipts 💰: The total income a country generates from international tourism, measured in current US dollars.
• tourism_arrivals 🌍: The total number of international tourists who arrive in a country, measured in count.
• tourism_expenditures 🛍️: The amount of money spent by international tourists within the country, measured in current US dollars.
• tourism_exports 📈: The percentage of a country’s total exports derived from international tourism receipts.
• tourism_departures ✈️: The number of citizens or residents of a country who travel abroad for tourism.
• tourism_expenditures 🛫: The percentage of a country’s total imports spent on international tourism.
• gdp 📊: The total value of all goods and services produced in a country, expressed in current US dollars.
• inflation 📉: The annual percentage change in the average price of goods and services in a country.
• unemployment 👷‍♂️: The percentage of people within the labor force who are unemployed but actively seeking work.

Data Source 🌐

• World Bank: The dataset is sourced from the World Bank’s economic and tourism databases, offering reliable and up-to-date statistics on global tourism and economic indicators.

Potential Use Cases 🔍

• Tourism & Economic Impact Analysis 🌏: Analyzing the contribution of tourism to a country’s GDP, as well as how tourism spending impacts national economies.
• Cross-Country Comparison 📊: Comparing tourism arrivals, expenditures, and receipts relative to GDP and unemployment across countries and regions.
• Predictive Modeling 🤖: Building models to predict the future impact of tourism on economic growth and identify emerging trends.
• Policy Evaluation 🏛️: Helping policymakers assess the role of tourism in economic planning, especially regarding inflation and unemployment.
• Economic Forecasting 📈: Using historical data to forecast how tourism will influence economic conditions, helping in the development of economic policies.

Key Questions You Can Explore 🤔

• How do tourism receipts correlate with GDP growth in different countries? 💵
• What is the relationship between tourism expenditure and inflation rates? 📉
• How do tourism arrivals and departures vary by region and what are the key drivers? 🌍
• What role does tourism play in shaping unemployment rates across countries? 👥
• Which countries have seen the largest increase in tourism receipts over the past two decades? 📊

Important Notes ⚠️

• Missing Data 🚨: Some values may be missing for certain years or countries, especially for specific tourism indicators. Techniques like forward filling, backward filling, or interpolation may help in handling missing values during time series analysis.
• Currency & Inflation Adjustments 💲: When comparing tourism receipts and expenditures across countries, consider adjusting for inflation and exchange rates to ensure accurate year-on-year comparisons.

The dataset contains 41265 observations and 21 variables. Each row represents a specific observation or data point. The variables in the dataset include: hpi_type: Type of housing price index data (e.g., traditional, developmental, distress-free, non-metro). hpi_flavor: Flavor of the housing price index data (e.g., purchase-only, all-transactions, expanded-data). frequency: Frequency of the data (e.g., monthly, quarterly). level: Level of geography (e.g., USA or Census Division, State, MSA, Puerto Rico). place_name: Name of the place (e.g., region, state, metropolitan area). place_id: Identifier for the place (e.g., abbreviation, CBSA code). yr: Year of the data. period: Period of the data (e.g., month, quarter). index_nsa: Index, non seasonally adjusted. index_sa: Index, seasonally adjusted. Gross domestic product, constant prices: GDP at constant prices in national currency. Gross domestic product per capita, constant prices: GDP per capita at constant prices. Gross domestic product per capita, current prices: GDP per capita at current prices. Gross domestic product based on purchasing-power-parity (PPP) share of world total: GDP based on PPP as a share of world total GDP. Inflation, average consumer prices: Average consumer price inflation index. Volume of imports of goods and services: Volume change in imports of goods and services. Volume of exports of goods and services: Volume change in exports of goods and services. Unemployment rate: Percentage of total labor force unemployed. Current account balance: Balance of payments current account balance. Date: Date of the data. GSPC.Close: Closing price of the S&P 500 index.

Continuing Jobless Claims in the United States increased to 1960 thousand in the week ending November 15 of 2025 from 1953 thousand in the previous week. This dataset provides the latest reported value for - United States Continuing Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Long Term Unemployment Rate in the United States decreased to 1.06 percent in September from 1.13 percent in August of 2025. This dataset provides the latest reported value for - United States Long Term Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Der Eurobarometer hat folgende inhaltliche Schwerpunkte: 1.) Die Zufriedenheit der Europäer, 2.) Zukunftsbefürchtungen, 3.) Einstellungen zu Europa und zur Gemeinschaft, 4.) Einstellungen zu den USA und anderen Staaten, 5.) Beurteilung der Energiesituation, 6.) Politische Einstellungen und 7.) Sonstiges. Themen: Zu 1.): Allgemeine Lebenszufriedenheit und Zufriedenheit mit dem Funktionieren der Demokratie im Lande. Zu 2.): Befürchtungen für die Zukunft; vermutete Entwicklung der Situation am Arbeitsmarkt. Zu 3.): Einstellung zur Vereinigung Westeuropas; Interesse an den Problemen der Europäischen Gemeinschaft; vermutete Bedeutung der Probleme der EG für die Zukunft des Landes und ihre Bürger; Selbsteinstufung der Informiertheit über die Probleme der EG und benutzte Informationsquellen; Beurteilung des Einvernehmens der EG-Staaten untereinander; Einstellung zur Mitgliedschaft des Landes in der EG; Präferenz für mehr nationale Kompetenzen oder für eine europäische Regierung; Europabürgertum; Selbsteinschätzung des Nationalstolzes. Zu 4.): Einstellung zu den US-Amerikanern sowie zu Russen, Japanern und Chinesen; Vertrauen in die USA, mit den Weltproblemen fertig zu werden; Einstellung zu einer an den USA orientierten Außenpolitik und Sicherheitspolitik; Beurteilung der Friedenssicherung durch die sowjetische und die amerikanische Politik; Selbsteinschätzung der pro-bzw. antiamerikanischen Haltung. Zu 5.): Einstufung der Ernsthaftigkeit der derzeitigen Energieprobleme; vermutete Entwicklung des Energieproblems in der Zukunft; präferierte Energieversorgungskonzepte; selbst durchgeführte Energiesparmaßnahmen; Bereiche für weitere Energieeinsparungen; Einstellung zur Atomenergie (Skala) sowie zur Notwendigkeit der Atomenergie für die Elektrizitätsversorgung; Einschätzung der Wahrscheinlichkeit einer Atomkraftwerksexplosion; wichtigste Gefahreneines Atomkraftwerkes; vermutete Gründe (menschliches oder technisches Versagen) bei Kernkraftwerksunfällen; Beurteilung der Informationsqualität in den einzelnen Medien; Entfernung zum nächsten Atomkraftwerk; geplantes Kraftwerk in der Nähe; Beurteilung des Risikos ausgewählter technischer Anlagen. Zu 6.): Wichtigste nationale Ziele sowie wichtigste ideelle Ziele(Skalen); erwartete gesellschaftliche und politische Veränderungen für die Zukunft; Einstellung zum Sozialstaat (Skala); Parteisympathie; Parteipräferenz (Sonntagsfrage); Selbsteinschätzung auf einem Links-Rechts-Kontinuum; politisches Interesse; Einschätzung politischer Einflußnahmemöglichkeiten; Einstellung zum politischen System, zu Naturschutzverbänden, zur Ökologiebewegung, zur Antiatombewegung sowie zur Friedensbewegung; Selbsteinschätzung politischer Meinungsführerschaft; präferierte Kompetenzverteilung und Zuweisung ausgewählter politischer Probleme auf die Kommunen, die Bundesregierung oder die Europäische Gemeinschaft. Zu 7.): Betriebsgröße, Religiosität; präferierte Wohnortgröße. Interviewerrating: Entfernung zum nächsten Atomkraftwerk. An Jugendliche im Alter von 14 bis 25 Jahren wurden folgende Zusatzfragen gestellt: angemessene Bezahlung; Arbeitszufriedenheit und perzipierte Aufstiegsmöglichkeiten; gewünschte Ausbildung erhalten; erwartete Ausbildungsqualifikation; Wohnen bei den Eltern oder mit einem Partner; finanzielle Situation; Zufriedenheit mit den Lebensbereichen; persönliches Interessengebiet. Bei arbeitslosen Jugendlichen wurde zusätzlich gefragt: Dauer der Arbeitssuche, Art der finanziellen Unterstützung, Hauptgrund der Arbeitslosigkeit. Demographie: Alter; Geschlecht; Familienstand; Berufliche Position; Betriebsgröße; Haushaltseinkommen; Haushaltsgröße; Haushaltszusammensetzung; Befragter ist Haushaltsvorstand; Charakteristika des Haushaltsvorstands; Parteipräferenz (Sonntagsfrage); Urbanisierungsgrad; Bundesland The Eurobarometer has the following main focus content areas: 1. satisfaction of the Europeans, 2. future concerns, 3. attitudes to Europe and the community, 4. attitudes to the USA and other countries, 5. judgment on the energy situation, 6. political attitudes and 7. miscellaneous. Topics: 1: general contentment with life and satisfaction with the functioning of democracy in the country. 2: concerns for the future; expected development of the situation in the job market. 3: attitude to unification of Western Europe; interest in the problems of the European Community; assumed significance of problems of the EC for the future of the country and its citizens; self-classification of extent to which informed about the problems of the EC and sources of information used; judgment on the harmony of the EC countries among themselves; attitude to membership of the country in the EC; preference for more national responsibilities or for a European Government; European citizenship; self-assessment of national pride. 4: attitude to US Americans as well as Russians, Japanese and Chinese; trust in the USA coping with world problems; attitude to foreign policy and security policy oriented on the USA; judgment on securing of peace through Soviet and American policies; self-assessment of pro- or anti-American stand. 5: classification of the seriousness of current energy problems; expected development of energy problems in the future; preferred concepts for provision of energy; measures to save energy personally undertaken; areas for further energy savings; attitude to atomic energy(scale) as well as the necessity of atomic energy for provision of electricity; assessment of the probability of a nuclear power plant explosion; most important dangers of a nuclear power plant; assumed reasons (human or technical failure) for nuclear power plant accidents; judgment on the quality of information in the individual media; distance to the closest nuclear power plant; planned power plant in the vicinity; judgment on the risk of selected technical facilities. 6: most important national goals as well as most important spiritual goals (scales); expected social and political changes for the future; attitude to the welfare state (scale); party sympathy; party preference(Sunday question); self-assessment on a left-right continuum; political interest; assessment of possibilities to exert political influence; attitude to the political system, nature protection associations, the ecology movement, the anti-atom movement as well as the peace movement; self-assessment of political opinion leadership; preferred distribution of ability and assignment of selected political problems to the municipalities, the Federal Government or the European Community. 7: company size, religiousness; preferred size of place of residence. Interviewer rating: distance to closest nuclear power plant. The following supplemental questions were posed to young people between the ages of 14 to 25 years: appropriate pay; work satisfaction and perceived prospects of promotion; desired education received; expected training qualification; living with parents or with a partner; financial situation; satisfaction with the areas of life; personal area of interest. The following questions were posed to unemployed young people: length of search for work, type of financial support, major reason for unemployment. Demography: age; sex; marital status; occupational position; company size; household income; household size; household composition; respondent is head of household; characteristics of head of household; party preference (Sunday question); degree of urbanization; state.

Youth Unemployment Rate in the United States decreased to 10.40 percent in September from 10.50 percent in August of 2025. This dataset provides - United States Youth Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.