17 datasets found
  1. U.S. annual unemployment rate 1990-2024

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. annual unemployment rate 1990-2024 [Dataset]. https://www.statista.com/statistics/193290/unemployment-rate-in-the-usa-since-1990/
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    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  2. U.S. unadjusted unemployment rate 2022-2024

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). U.S. unadjusted unemployment rate 2022-2024 [Dataset]. https://www.statista.com/statistics/273559/unadjusted-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 unadjusted unemployment rate in the United States stood at 3.9 percent in October 2024. This data is not seasonally adjusted. The adjusted monthly unemployment rate can be found here and the monthly civilian labor force participation rate here.

  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. M

    Unemployment Level (1948-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Unemployment Level (1948-2025) [Dataset]. https://www.macrotrends.net/3112/unemployment-level
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1948 - 2025
    Area covered
    United States
    Description

    The series comes from the 'Current Population Survey (Household Survey)' The source code is: LNS13000000

    The Unemployment Level is the aggregate measure of people currently unemployed in the US. Someone in the labor force is defined as unemployed if they were not employed during the survey reference week, were available for work, and made at least one active effort to find a job during the 4-week survey period.

    The Unemployment Level is collected in the CPS and published by the BLS. It is provided on a monthly basis, so this data is used in part by macroeconomists as an initial economic indicator of current trends. The Unemployment Level helps government agencies, financial markets, and researchers gauge the overall health of the economy.

    Note that individuals that are not employed but not actively looking for a job are not counted as unemployed. For instance, declines in the Unemployment Level may either reflect movements of unemployed individuals into the labor force because they found a job, or movements of unemployed individuals out of the labor force because they stopped looking to find a job.

    For more information, see: U.S. Bureau of Labor Statistics, CES Overview (https://www.bls.gov/web/empsit/cesprog.htm) U.S. Bureau of Labor Statistics, BLS Handbook of Methods: Chapter 2. Employment, Hours, and Earnings from the Establishment Survey (https://www.bls.gov/opub/hom/pdf/ces-20110307.pdf)

  5. Total employment figures and unemployment rate in the United States...

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2024
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    Statista (2024). Total employment figures and unemployment rate in the United States 1980-2025 [Dataset]. https://www.statista.com/statistics/269959/employment-in-the-united-states/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

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

  6. f

    Data Sheet 1_Media’s role in the crisis: a discursive comparison of U.S....

    • frontiersin.figshare.com
    pdf
    Updated Jun 18, 2025
    + more versions
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    Ling Yang; Lingli Yu (2025). Data Sheet 1_Media’s role in the crisis: a discursive comparison of U.S. media representations of unemployment in 2008 and 2020.pdf [Dataset]. http://doi.org/10.3389/fcomm.2025.1581167.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Frontiers
    Authors
    Ling Yang; Lingli Yu
    License

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

    Area covered
    United States
    Description

    IntroductionThrough variations in reporting volume and discursive strategies, the media communicates risks to the public and shapes perceptions during crises.MethodsThis study conducted a corpus-based, quantitative analysis of topoi in American newspapers during the 2008 financial crisis and the 2020 COVID-19 pandemic, comparing media representations of unemployment.ResultsIt identifies four recurrent topoi common to both crises that characterize media coverage of unemployment. However, differences in other recurring topics reflect variations in the distinct causes of the crises, unemployment dynamics, and social policy responses.DiscussionThese findings highlight the media’s distinct influences on the evolution of each crisis and its portrayal of unemployment. By examining how media strategies shape discourse on unemployment, this study deepens our understanding of the interplay between media, discourse analysis, and crisis management during major economic disruptions.

  7. T

    United States Non Farm Payrolls

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Non Farm Payrolls [Dataset]. https://tradingeconomics.com/united-states/non-farm-payrolls
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 3, 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, 1939 - Jun 30, 2025
    Area covered
    United States
    Description

    Non Farm Payrolls in the United States increased by 147 thousand in June of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. f

    Data_Sheet_1_COVID-19 unemployment and access to statin medications in the...

    • figshare.com
    pdf
    Updated Jun 12, 2023
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    Manuel Hermosilla; Caleb Alexander; Dan Polsky (2023). Data_Sheet_1_COVID-19 unemployment and access to statin medications in the United States.pdf [Dataset]. http://doi.org/10.3389/fpubh.2023.1124151.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    Frontiers
    Authors
    Manuel Hermosilla; Caleb Alexander; Dan Polsky
    License

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

    Area covered
    United States
    Description

    ObjectiveTo quantify the effect of the unemployment created by COVID-19 on access to (sales of) statin drugs in the United States population.MethodsApproximately half a billion transactions for statin drugs in the United States between January 2018 and September 2020 are analyzed. We studied the potential causal relation between abnormal levels of unemployment during the first wave of COVID-19 in the U.S. and abnormal levels of sales of statin products (both variables defined at the state/week level). Variables are analyzed using the Two-Stage Least Squares (2SLS) method, which exploits comparisons of statin sales between states where, given the occupational distribution of their workforce, unemployment was more structurally vulnerable to mobility restrictions derived from COVID-19 against states where it was less structurally vulnerable.ResultsWhile we do not find unemployment effects on statin sales on most of the population, our estimates link COVID-fueled unemployment with a sharp sales reduction among Medicaid-insured populations, particularly those in working age. For the period between March and August of 2020, these estimates imply a 31% drop of statin sales among this population.DiscussionCOVID-fueled unemployment may have had a negative and significant effect on access to statin populations among Medicaid-insured populations.

  9. M

    U.S. Average Hourly Earnings - Private Sector (2006-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Average Hourly Earnings - Private Sector (2006-2025) [Dataset]. https://www.macrotrends.net/3044/us-average-hourly-earnings-private-sector
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2006 - 2025
    Area covered
    United States
    Description

    The series comes from the 'Current Employment Statistics (Establishment Survey).' The source code is: CES0500000003

    The Average Hourly Earnings of All Private Employees is a measure of the average hourly earnings of all private employees on a “gross” basis, including premium pay for overtime and late-shift work. These differ from wage rates in that average hourly earnings measure the actual return to a worker for a set period of time, rather than the amount contracted for a unit of work, the wage rate. This measure excludes benefits, irregular bonuses, retroactive pay, and payroll taxes paid by the employer.

    Average Hourly Earnings are collected in the Current Employment Statistics (CES) program and published by the BLS. It is provided on a monthly basis, so this data is used in part by macroeconomists as an initial economic indicator of current trends. Progressions in earnings specifically help policy makers understand some of the pressures driving inflation.

    It is important to note that this series measures the average hourly earnings of the pool of workers in each period. Thus, changes in average hourly earnings can be due to either changes in the set of workers observed in a given period, or due to changes in earnings. For instance, in recessions that lead to the disproportionate increase of unemployment in lower-wage jobs, average hourly earnings can increase due to changes in the pool of workers rather than due to the widespread increase of hourly earnings at the worker-level.

    For more information, see: U.S. Bureau of Labor Statistics, CES Overview (https://www.bls.gov/web/empsit/cesprog.htm) U.S. Bureau of Labor Statistics, BLS Handbook of Methods: Chapter 2. Employment, Hours, and Earnings from the Establishment Survey (https://www.bls.gov/opub/hom/pdf/ces-20110307.pdf)

  10. T

    Data from: Equity Index

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    Updated Jun 30, 2023
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    (2023). Equity Index [Dataset]. https://open.piercecountywa.gov/Maps-and-Geospatial/Equity-Index/szgb-8wvm
    Explore at:
    csv, application/geo+json, xml, kml, application/rdfxml, application/rssxml, tsv, kmzAvailable download formats
    Dataset updated
    Jun 30, 2023
    Description

    The Pierce County Equity Index data highlights opportunities to improve equitable access and outcomes for residents of Pierce County. This Index includes an overall Opportunity Index rating which is made up of five categories (Livability, Accessibility, Economy, Education, and Environmental Health), and 32 individual data points. The data is presented in the Pierce County Equity Index web application (www.piercecountywa.gov/equityindex).

    Accessibility Indicators: Average Road Quality, Transit, Internet and Library Access, Parks & Open Spaces, Voter Participation, Retail Services, Household Vehicle Access and Healthily Food Availability.

    Education Indicators: High School Graduation Rate, 25 Age+ with Bachelors' Degree or More, Average Test Proficiency, Average Student Mobility Rate, Kindergarten Readiness Rate.

    Economy Indicators: Households at 200% of the Poverty Line or Less, Median Household Income, Jobs, Unemployment Rate, Poverty Rate, Median Home Value.

    Livability Indicators: Cost Burden, Life Expectancy, Health, Uninsured rate, Crime, Crashes

    Environmental Health Indicators: NOxNOx- Diesel Emissions (Annual Tons/Km2), Ozone Concentration, PM2.5 Particulate Matter Concentration, Populations Near Heavy Traffic Roadways.

    Please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbis_equityindex.html). Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

  11. g

    Recent College Graduates Survey, 1976-1977: [United States] - Archival...

    • search.gesis.org
    Updated May 30, 2021
    + more versions
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    United States Department of Education. National Center for Education Statistics (2021). Recent College Graduates Survey, 1976-1977: [United States] - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR06377
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    Dataset updated
    May 30, 2021
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    United States Department of Education. National Center for Education Statistics
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de439897https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de439897

    Area covered
    United States
    Description

    Abstract (en): The Recent College Graduates (RCG) survey estimates the potential supply of newly qualified teachers in the United States and explores the immediate post-degree employment and education experiences of individuals obtaining bachelor's or master's degrees from American colleges and universities. The RCG survey, which focuses heavily, but not exclusively, on those graduates qualified to teach at the elementary and secondary levels, is designed to meet the following objectives: (1) to determine how many graduates become eligible or qualified to teach for the first time and how many are employed as teachers in the year following graduation, by teaching field, (2) to examine the relationships among courses taken, student achievement, and occupational outcomes, and (3) to monitor unemployment rates and average salaries of graduates by field of study. The RCG survey collects information on education and employment of all graduates (date of graduation, field of study, whether newly qualified to teach, further enrollment, financial aid, employment status, and teacher employment characteristics) as well as standard demographic characteristics such as earnings, age, marital status, sex, and race/ethnicity. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Students within one year of attaining a bachelor's or a master's degree from an American college or university. A two-stage stratified sampling approach was employed. The first stage consisted of drawing a sample of bachelor's and master's degree-granting institutions from Higher Education General Information Survey (HEGIS)/Integrated Postsecondary Education Data System (IPEDS) completions files. Institutions were stratified by control (public or private), by region, and by the proportion of degrees awarded in the field of education (over or under a specified number). Within each of these strata, institutions were selected according to size (size being measured by the sum of bachelor's and master's degrees awarded that year). The second stage consisted of the selection of a core sample of graduates (bachelor's and master's degree recipients) who received their degrees from the sampled institutions during the 1976-1977 academic year. Sampling rates of graduates differed by major field of study. The institution sample consisted of 300 institutions of which 30 were Historically Black Colleges (HBCs). The graduate sample was stratified by degree received and major field of study (vocational education, special education, other education, and noneducation). Data are representative at the national level. 2001-01-05 SAS and SPSS data definition statements have been created for this collection. Also, the codebook and data collection instrument were converted to a PDF file. The codebook and data collection instrument are provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

  12. f

    Data_Sheet_2_Understanding the employment impact of neuromyelitis optica...

    • figshare.com
    pdf
    Updated Jun 15, 2023
    + more versions
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    Farrah J. Mateen; Cristina M. Trápaga Hacker (2023). Data_Sheet_2_Understanding the employment impact of neuromyelitis optica spectrum disorder in the USA: Mixed methods.PDF [Dataset]. http://doi.org/10.3389/fneur.2023.1142640.s002
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    Frontiers
    Authors
    Farrah J. Mateen; Cristina M. Trápaga Hacker
    License

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

    Description

    Neuromyelitis optica spectrum disorder (NMOSD) is a rare and disabling neurological disorder, marked by recurrent attacks of the central nervous system. NMO has a high female predominance and disproportionately affects racial and ethnic groups who are under- and unemployed in the USA. Three focus groups, involving 20 working age adults with NMOSD in the USA, were convened via Zoom online, to discuss the topic of employment in NMOSD. Consolidated Criteria for Reporting Qualitative research (COREQ) were followed. Discussions were coded for major themes using an inductive approach. The following themes emerged: (1) Barriers due to NMOSD on employment including (i) visible and invisible symptoms, (ii) the burden of treatment, and (iii) time to diagnosis; (2) Mitigating factors when NMOSD affects employment; (3) Impact of COVID-19; (4) Impact on income; (5) Impact on new and future employment and higher education opportunities; and (6) Unmet needs that are pragmatically addressable, outside of major policy or scientific changes.

  13. Countries with the highest unemployment rate 2023

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the highest unemployment rate 2023 [Dataset]. https://www.statista.com/statistics/264656/countries-with-the-highest-unemployment-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, South Africa had the highest unemployment rate in the world, at 32.1 percent. Of the 10 countries with the highest unemployment rates, six were in Sub-Saharan Africa. What exactly is unemployment? The unemployment rate is the number of people in the workforce currently looking for jobs but not working. This number does not include students and retirees, as they are not looking for work, nor does it include people who have given up on finding a job (known as discouraged workers). Comparing international unemployment rates can be problematic, however, as different countries use different methodologies when classifying unemployment. For example, Niger records the third lowest unemployment rate in the world, despite often being listed as the least developed country worldwide - this is because the majority of the population engage in subsistence farming, with very little opportunity for paid employment. Causes of unemployment in less developed countries A major driver in unemployment in these countries is conflict. In particular, internally displaced persons (IDPs) want to work, but moving to another part of the country disrupts their business network and moves them into a local economy with different labor demand. Countries with low levels of economic development, as roughly indicated by a low GDP per capita, often have fewer labor market opportunities, leading to high unemployment rates.

  14. U.S. monthly change in nonfarm payroll employment 2022-2024

    • statista.com
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    Statista, 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 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.

  15. Unemployment rate in Ghana 2024

    • statista.com
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    Statista, Unemployment rate in Ghana 2024 [Dataset]. https://www.statista.com/statistics/808481/unemployment-rate-in-ghana/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    Ghana
    Description

    In 2020, the unemployment rate in Ghana was at approximately 3.01 percent of the total labor force. The unemployment rate is the percentage of a country's labor force that are without jobs but are available to work and actively seeking employment. Ghana’s unemployment rate is above the worldwide unemployment rate, and compared to other Sub-Saharan African countries and other regions, Ghana has a relatively average rate of unemployment. Ghana’s population Due to the nature of its economy and its population size of over 30 million people, Ghana’s estimated GDP per capita amounts to just over 2,200 U.S. dollars in 2018 and forecast to rise continually over the next few years. Almost half of the country’s population works in the services sector, and around 33 percent work in agriculture. The population is relatively young, with only around 3 percent of the total population aged 65 years or older. Ghana’s hopeful future One of the most important economic centers of its region, Ghana’s GDP is at over 65 billion U.S. dollars, and it is projected to grow to over 97 billion U.S. dollars by 2024. Ghana is a country with several valuable natural resources, including gold, petroleum, cocoa, and natural gas. The country’s economy is particularly focused on manufacturing and exporting digital technology goods, and industrial materials. Ghana utilizes these exports domestically as well; its mixed economy is increasingly digital based. A regional leader, it has the goal of being the first African nation to become a developed country in the next decade. There are several positive indications encouraging this possibility, such as that GDP has grown each year, albeit at inconsistent rates.

  16. Rate of unemployment in India 2024, by education level

    • statista.com
    Updated Mar 17, 2025
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    Statista (2025). Rate of unemployment in India 2024, by education level [Dataset]. https://www.statista.com/statistics/1001039/india-unemployment-rate-by-education-level/
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    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2021 - Jun 2024
    Area covered
    India
    Description

    As per the Periodic Labour Force Survey of 2024, the unemployment rate among individuals with secondary education and above was 7.1 percent, the highest among other levels of education. Although the unemployment rate within this category fell from the previous financial year. Potential of the education sectorIndia's education sector is estimated to be valued at around 117 billion U.S. dollars, and it is expected to grow to 225 billion U.S. dollars by 2025. It is a growing trend for many young Indians to attain two or three degrees in the hope of attaining a job. One of the largest young populations in the world presents a unique opportunity for the country in the education sector. Educated unemployed Youth unemployment in India was over 15 percent in 2023. This is despite the abundance of highly educated professionals. The data suggests a sharp mismatch between the skills of the labor force and job creation. The lack of jobs in the non-farm sector for the newly graduated young population is a major cause of worry for the Indian economy.

  17. Unemployment rate in the Philippines 2024

    • statista.com
    • ai-chatbox.pro
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    Statista, Unemployment rate in the Philippines 2024 [Dataset]. https://www.statista.com/statistics/578722/unemployment-rate-in-philippines/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    Philippines
    Description

    In 2019, the unemployment rate in the Philippines was at approximately 2.24 percent and on a steady downward trend from 3.6 percent in 2014.

    Souvenirs from overseas

    The Philippines’ economy relies heavily on remittances from overseas, i.e. money sent home by Filipino emigrants and workers in other countries. In 2016 alone, approximately 30 billion U.S. dollars were received as remittances in the Philippines, and the amount seems to increase significantly every year. This makes the Philippines one of the leading countries worldwide when it comes to receiving remittances, only surpassed by India and China.

    Visitors from overseas

    The Philippines’ economy is stable, not only because of remittances, but also because of a flourishing services sector, which is now the main generator of GDP in the country; tourism and IT in particular contribute to economic growth. More than half of the Philippines workforce is employed in services.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). U.S. annual unemployment rate 1990-2024 [Dataset]. https://www.statista.com/statistics/193290/unemployment-rate-in-the-usa-since-1990/
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U.S. annual unemployment rate 1990-2024

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25 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 11, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

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.

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