100+ datasets found
  1. U.S. unemployment rate 2025, by occupation

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. unemployment rate 2025, by occupation [Dataset]. https://www.statista.com/statistics/217782/unemployment-rate-in-the-united-states-by-occupation/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    United States
    Description

    In February 2025, the unemployment rate for those aged 16 and over in the United States came to 4.5 percent. Service occupations had an unemployment rate of 6.3 percent in that month. The underemployment rate of the country can be accessed here and the monthly unemployment rate here. Unemployment by occupation in the U.S. The United States Bureau of Labor Statistics publish data on the unemployment situation within certain occupations in the United States on a monthly basis. According to latest data released from May 2023, transportation and material moving occupations experienced the highest level of unemployment that month, with a rate of around 5.6 percent. Second ranked was farming, fishing, and forestry occupations with a rate of 4.9 percent. Total (not seasonally adjusted) unemployment was reported at 3.6 percent in March 2023. Other data on the U.S. unemployment rate by industry and class of worker shows comparable results. It should be noted that the data were not seasonally adjusted to account for normal seasonal fluctuations in unemployment. The monthly unemployment by occupation data can be compared to the seasonally adjusted monthly unemployment rate. In March 2023, the seasonally adjusted unemployment rate was 3.5 percent, which was an increase from the previous month. The annual unemployment rate in 2022 was 3.6 percent, down from a high of 9.6 in 2010. Unemployment in the United States trended downward after the coronavirus pandemic, and is now experiencing consistently low rates - a sign of economic stability. Individuals who opt to leave the workforce and stop looking for employment are not included among the unemployed. The civilian labor force participation rate in the U.S. rose to 62.2 percent in 2022, down from 67.1 percent in 2000, before the financial crisis.

  2. Bureau of Labor Statistics Monthly Unemployment (latest 14 months)

    • covid-hub.gio.georgia.gov
    • prep-response-portal.napsgfoundation.org
    • +10more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://covid-hub.gio.georgia.gov/maps/993b8c64a67a4c6faa44a91846547786
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    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: December 2024 (preliminary values at the 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 forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: March 17th, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData 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:

  3. US Weekly Unemployment Data

    • data.amerigeoss.org
    • hub.arcgis.com
    esri rest, html
    Updated May 12, 2020
    + more versions
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    ESRI (2020). US Weekly Unemployment Data [Dataset]. https://data.amerigeoss.org/es/dataset/us-weekly-unemployment-data
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    esri rest, htmlAvailable download formats
    Dataset updated
    May 12, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description
    Unemployment Insurance Weekly Claims Data - 2020 year to date (Updated thru 04/25/2020)

    This map contain Unemployment Insurance Weekly Claims data, from the United State Department of Labor, Employment & Training Administration, starting on 01/01/2020 and updated weekly. These data are used in current economic analysis of unemployment trends in the nation, and in each state.

    Initial claims is a measure of emerging unemployment. It counts the number of new persons claiming unemployment benefits and it is released after one week.

    Continued claims is a measure of the total number of persons claiming unemployment benefits, and it is released one week later than the initial claims.

    The data is organized by state, with the following attributes (as defined by the United State Department of Labor) repeated for each week
    • Week/date when claims were filed
    • Number of initial claims
    • Week/date reflected in the data week
    • Number of continued claims
    • Total covered employment
    • Insured unemployment rate
    The latest information on unemployment insurance claims can be found here.

    TECHNICAL NOTES
    These data represent the weekly unemployment insurance (UI) claims reported by each state's unemployment insurance program offices. These claims may be used for monitoring workload volume, assessing state program operations and for assessing labor market conditions. States initially report claims directly taken by the state liable for the benefit payments, regardless of where the claimant who filed the claim resided. These are the basis for the advance initial claims and continued claims reported each week. These data come from ETA 538, Advance Weekly Initial and Continued Claims Report. The following week initial claims and continued claims are revised based on a second reporting by states that reflect the claimants by state of residence. These data come from the ETA 539, Weekly Claims and Extended Benefits Trigger Data Report.

    A. Initial Claims
    An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claimant requests a determination of basic eligibility for the UI program. When an initial claim is filed with a state, certain programmatic activities take place and these result in activity counts including the count of initial claims. The count of U.S. initial claims for unemployment insurance is a leading economic indicator because it is an indication of emerging labor market conditions in the country. However, these are weekly administrative data which are difficult to seasonally adjust, making the series subject to some volatility.

    B. Continued Weeks Claimed
    A person who has already filed an initial claim and who has experienced a week of unemployment then files a continued claim to claim benefits for that week of unemployment. Continued claims are also referred to as insured unemployment. The count of U.S. continued weeks claimed is also a good indicator of labor market conditions. Continued claims reflect the current number of insured unemployed workers filing for UI benefits in the nation. While continued claims are not a leading indicator (they roughly coincide with economic cycles at their peaks and lag at cycle troughs), they provide confirming evidence of the direction of the U.S. economy

    C. Seasonal Adjustments and Annual Revisions
    Over the course of a year, the weekly changes in the levels of initial claims and continued claims undergo regularly occurring fluctuations. These fluctuations may result from seasonal changes in weather, major holidays, the opening and closing of schools, or other similar events. Because these seasonal events follow a more or less regular pattern each year, their influence on the level of a series can be tempered by adjusting for regular seasonal variation. These adjustments make trend and cycle developments easier to spot. At the beginning of each calendar year, the Bureau of Labor Statistics provides the Employment and Training Administration (ETA) with a set of seasonal factors to apply to the unadjusted data during that year. Concurrent with the implementation and release of the new seasonal factors, ETA incorporates revisions to the UI claims historical series caused by updates to the unadjusted data.
  4. U.S. monthly change in nonfarm payroll employment 2022-2024

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). U.S. monthly change in nonfarm payroll employment 2022-2024 [Dataset]. https://www.statista.com/statistics/217417/monthly-change-in-nonfarm-payroll-employment-in-the-us/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    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.

  5. Quarterly Census of Employment and Wages (QCEW)

    • catalog.data.gov
    • data.ca.gov
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-a6fea
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Description

    The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

  6. T

    United States Initial Jobless Claims

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 13, 2025
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    United States Initial Jobless Claims [Dataset]. https://tradingeconomics.com/united-states/jobless-claims
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 7, 1967 - Mar 15, 2025
    Area covered
    United States
    Description

    Initial Jobless Claims in the United States increased to 223 thousand in the week ending March 15 of 2025 from 221 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.

  7. Unemployment rate in China 2017-2029

    • statista.com
    • flwrdeptvarieties.store
    Updated Oct 22, 2024
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    Statista (2024). Unemployment rate in China 2017-2029 [Dataset]. https://www.statista.com/statistics/270320/unemployment-rate-in-china/
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    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2023, the rate of surveyed unemployment in urban areas of China amounted to approximately 5.2 percent. The unemployment rate is expected to decrease slightly to 5.1 percent in 2024 and the following years. Monthly unemployment ranged at a level of around 5.2 percent in the third quarter of 2024. Unemployment rate in China In 2017, the National Statistics Bureau of China introduced surveyed unemployment as a new indicator of unemployment in the country. It is based on monthly surveys among the labor force in urban areas of China. Surveyed unemployment replaced registered unemployment figures, which were often criticized for missing out large parts of the urban labor force and thereby not presenting a true picture of urban unemployment levels. However, current unemployment figures still do not include rural areas.A main concern in China’s current state of employment lies within the large regional differences. As of 2021, the unemployment rate in northeastern regions of China was notably higher than in China’s southern parts. In Beijing, China’s political and cultural center, registered unemployment ranged at around 3.2 percent for 2021. Indicators of economic activities Apart from the unemployment rate, most commonly used indicators to measure economic activities of a country are GDP growth and inflation rate. According to an IMF forecast, GDP growth in China will decrease to about 4.8 percent in 2024, after 5.2 percent in 2023, depicting a decrease of six percentage points from 10.6 percent in 2010. Quarterly growth data published by the National Bureau of Statistics indicated 4.6 percent GDP growth for the third quarter of 2024.

  8. Monthly surveyed urban youth unemployment rate in China 2022-2025

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 20, 2025
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    Statista (2025). Monthly surveyed urban youth unemployment rate in China 2022-2025 [Dataset]. https://www.statista.com/statistics/1244339/surveyed-monthly-youth-unemployment-rate-in-china/
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    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2022 - Feb 2025
    Area covered
    China
    Description

    China resumed the release of youth unemployment data in January 2024 after publication had been suspended for six months, using a new statistical methodology. Youth unemployment hit a record high of 21.3 percent in June 2023 after having increased for several years in a row, when a spokesman of the National Bureau of Statistics of China announced that the statistical methodology for calculating age specific unemployment rates needed improvement and publication would be temporarily suspended. The new methodology does not include university students anymore, resulting in a youth unemployment rate of 16.9 percent in February 2025. Youth jobless figures fluctuate over the year and normally peak in July in China, when the largest number of graduates enter the job market.

  9. U

    Unemployment rate

    • dataverse-staging.rdmc.unc.edu
    • dataverse.unc.edu
    tsv, txt
    Updated Apr 29, 2022
    + more versions
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    Carolina Tracker; Carolina Tracker (2022). Unemployment rate [Dataset]. http://doi.org/10.15139/S3/FXIKUP
    Explore at:
    txt(13538), tsv(231983), tsv(531)Available download formats
    Dataset updated
    Apr 29, 2022
    Dataset provided by
    UNC Dataverse
    Authors
    Carolina Tracker; Carolina Tracker
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.

  10. F

    Average Hourly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 7, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Feb 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

  11. F

    All Employees: Leisure and Hospitality: Food Services and Drinking Places in...

    • fred.stlouisfed.org
    json
    Updated Jan 29, 2025
    + more versions
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    (2025). All Employees: Leisure and Hospitality: Food Services and Drinking Places in New York City, NY [Dataset]. https://fred.stlouisfed.org/series/SMU36935617072200001SA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    New York
    Description

    Graph and download economic data for All Employees: Leisure and Hospitality: Food Services and Drinking Places in New York City, NY (SMU36935617072200001SA) from Jan 1990 to Dec 2024 about beverages, New York, NY, food, services, employment, and USA.

  12. F

    Initial Claims

    • fred.stlouisfed.org
    json
    Updated Mar 20, 2025
    + more versions
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    (2025). Initial Claims [Dataset]. https://fred.stlouisfed.org/series/ICSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Initial Claims (ICSA) from 1967-01-07 to 2025-03-15 about initial claims, headline figure, and USA.

  13. i

    Bureau of Labor Statistics Monthly Unemployment (latest 14 months) of...

    • indianamap.org
    Updated Aug 16, 2022
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    IndianaMap (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) of Indiana [Dataset]. https://www.indianamap.org/maps/f26611ce9bab4ed49dea0834b57ac4ec
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    IndianaMap
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    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: October 2024 (preliminary values at the 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 forceData obtained from theU.S. Bureau of Labor Statistics.Data downloaded: December 20, 2024Local Area Unemployment Statistics table download:https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData 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 2021TIGER boundariesfrom theU.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.To better understand the different labor force statistics included in this map, see the diagram belowfrom BLS:

  14. Employment; economic activity, quarterly, National Accounts

    • dexes.eu
    • data.overheid.nl
    • +1more
    atom, json
    Updated Mar 12, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Employment; economic activity, quarterly, National Accounts [Dataset]. https://dexes.eu/nl/dataset/2-employment-economic-activity-quarterly-national-accounts
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    json, atomAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

    https://opendata.cbs.nl/ODataApi/OData/85920ENGhttps://opendata.cbs.nl/ODataApi/OData/85920ENG

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table provides data about the employment of employees and self-employed persons. It contains annual and quarterly data on employed persons, jobs, and hours worked. The seasonal adjusted time series are also available in this table. Data available from: 1995 first quarter. Status of the figures: Data from 1995 up to and including 2021 are final. Data of 2022 and further are provisional. Changes as of February 14th 2025: Figures for the flash estimate of the fourth quarter of 2024 and the year 2024 are added. When will new figures be published? The preliminary estimate (flash estimate) of a quarter is released within 45 days. The second estimate is published after 85 days. At the second estimate of the fourth quarter, data of the previous three quarters will also be revised.

  15. U.S. monthly change in nonfarm payroll employment 2024, by industry

    • statista.com
    • flwrdeptvarieties.store
    Updated Nov 12, 2024
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    Statista (2024). U.S. monthly change in nonfarm payroll employment 2024, by industry [Dataset]. https://www.statista.com/statistics/217746/monthly-change-in-nonfarm-payroll-employment-in-the-us-by-industry-sector/
    Explore at:
    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    Area covered
    United States
    Description

    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.

  16. U.S. seasonally adjusted unemployment rate 2022-2024

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). U.S. seasonally adjusted unemployment rate 2022-2024 [Dataset]. https://www.statista.com/statistics/273909/seasonally-adjusted-monthly-unemployment-rate-in-the-us/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In October 2024, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends. U.S. monthly unemployment rate According to the Bureau of Labor Statistics - the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics - unemployment decreased dramatically between 2010 and 2019. This trend of decreasing unemployment followed after a high in 2010 resulting from the 2008 financial crisis. However, after a smaller financial crisis due to the COVID-19 pandemic, unemployment reached 8.1 percent in 2020. As the economy recovered, the unemployment rate fell to 5.3 in 2021, and fell even further in 2022. Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In November 2023, the states with the highest (seasonally adjusted) unemployment rate were the Nevada and the District of Columbia. Unemployment was the lowest in Maryland, at 1.8 percent. Workers in the agricultural and related industries suffered the highest unemployment rate of any industry at seven percent in December 2023.

  17. U.S. monthly average working week of all employees 2022-2024

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). U.S. monthly average working week of all employees 2022-2024 [Dataset]. https://www.statista.com/statistics/215643/average-weekly-working-hours-of-all-employees-in-the-us-by-month/
    Explore at:
    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    In October 2024, the average working week for all employees on private nonfarm payrolls in the United States was at 34.3 hours. This includes part-time workers. The data have been seasonally adjusted. Employed persons consist of all employees on private nonfarm payrolls. U.S. working week As in most industrialized countries, the standard work week in the United States begins on Monday and ends on Friday. According to data released by the Bureau of Labor Statistics, the average workweek for all employees (including part-time) working in private industries in the United States amounted to about 34.5 hours in 2022. Over the course of one month, the U.S. workforce works about 3.9 billion hours in total.The average work week can differ heavily from industry to industry. An employee in the mining and logging industry worked about 45.5 hours a week in April 2023, while employees in private education and health services worked for an average of 33.4 hours per week.

  18. c

    Employment

    • data.clevelandohio.gov
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Employment [Dataset]. https://data.clevelandohio.gov/datasets/employment
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    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This layer shows hours worked, and those unemployed and not in labor force. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of unemployed population within the civilian labor force. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B23020, B23025Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2023The United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  19. T

    Australia Unemployment Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 20, 2025
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    TRADING ECONOMICS (2025). Australia Unemployment Rate [Dataset]. https://tradingeconomics.com/australia/unemployment-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 28, 1978 - Feb 28, 2025
    Area covered
    Australia
    Description

    Unemployment Rate in Australia remained unchanged at 4.10 percent in February. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. Monthly labour participation and unemployment

    • cbs.nl
    xml
    Updated Feb 20, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Monthly labour participation and unemployment [Dataset]. https://www.cbs.nl/en-gb/figures/detail/80590eng
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    The Netherlands
    Description

    This table contains monthly, quarterly and yearly figures on the labour participation and unemployment in the Netherlands. The population of 15 to 75 years old (excluding the institutionalized population) is divided into the employed, the unemployed and the people who are not in in the labour force. The different groups are further broken down by sex and age. Next to the original monthly figures on the labour force you can also find monthly figures that are seasonally adjusted.

    Data available from: January 2003

    Status of the figures: The figures in this table are final.

    Changes as of 20 February 2025: The figures for January have been added

    When will new figures be published? New figures on the most recent month are published monthly, in the third week of the month.

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Link copied
Close
Cite
Statista (2025). U.S. unemployment rate 2025, by occupation [Dataset]. https://www.statista.com/statistics/217782/unemployment-rate-in-the-united-states-by-occupation/
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U.S. unemployment rate 2025, by occupation

Explore at:
Dataset updated
Mar 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 2025
Area covered
United States
Description

In February 2025, the unemployment rate for those aged 16 and over in the United States came to 4.5 percent. Service occupations had an unemployment rate of 6.3 percent in that month. The underemployment rate of the country can be accessed here and the monthly unemployment rate here. Unemployment by occupation in the U.S. The United States Bureau of Labor Statistics publish data on the unemployment situation within certain occupations in the United States on a monthly basis. According to latest data released from May 2023, transportation and material moving occupations experienced the highest level of unemployment that month, with a rate of around 5.6 percent. Second ranked was farming, fishing, and forestry occupations with a rate of 4.9 percent. Total (not seasonally adjusted) unemployment was reported at 3.6 percent in March 2023. Other data on the U.S. unemployment rate by industry and class of worker shows comparable results. It should be noted that the data were not seasonally adjusted to account for normal seasonal fluctuations in unemployment. The monthly unemployment by occupation data can be compared to the seasonally adjusted monthly unemployment rate. In March 2023, the seasonally adjusted unemployment rate was 3.5 percent, which was an increase from the previous month. The annual unemployment rate in 2022 was 3.6 percent, down from a high of 9.6 in 2010. Unemployment in the United States trended downward after the coronavirus pandemic, and is now experiencing consistently low rates - a sign of economic stability. Individuals who opt to leave the workforce and stop looking for employment are not included among the unemployed. The civilian labor force participation rate in the U.S. rose to 62.2 percent in 2022, down from 67.1 percent in 2000, before the financial crisis.

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