100+ datasets found
  1. U.S. Unemployment Rates

    • kaggle.com
    Updated Jun 10, 2024
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    Guillem SD (2024). U.S. Unemployment Rates [Dataset]. https://www.kaggle.com/datasets/guillemservera/us-unemployment-rates
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Guillem SD
    License

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

    Area covered
    United States
    Description

    Introduction

    The U.S. job market, with its dynamic trends and fluctuating unemployment rates, serves as an important barometer for the nation's economic health. All rates provided in this dataset are seasonally adjusted. Delving into the intricacies of unemployment rates by age and gender helps researchers, policymakers, and analysts uncover underlying patterns and address potential disparities.

    Usage Examples

    • Economic Research: Study the historical unemployment trends to gauge economic cycles.
    • Policy Making: Inform labor market policies and interventions based on age or gender disparities.
    • Business Strategy: Companies can analyze job market conditions when considering expansions or contractions.
    • Academic Projects: Students and educators can use the dataset for case studies, dissertations, or classroom projects.

    Image Source Photo by Ron Lach : https://www.pexels.com/photo/woman-looking-for-jobs-in-newspaper-9832700/

    Dataset Contents

    This dataset, sourced from the FRED API, provides: - df_sex_unemployment_rates.csv: A breakdown of U.S. unemployment rates based on gender. - df_unemployment_rates.csv: Unemployment rates categorized by various age groups, ranging from young entrants (ages 16-17) to seasoned professionals (55 and above).

    Together, these data files offer a comprehensive insight into the nuances of unemployment in the U.S., highlighting potential disparities in the job market across different age groups and between men and women.

  2. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Nov 20, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Nov 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
    Jan 31, 1948 - Sep 30, 2025
    Area covered
    United States
    Description

    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.

  3. F

    Unemployment Rate in Newport News City, VA

    • fred.stlouisfed.org
    json
    Updated Oct 1, 2025
    + more versions
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    (2025). Unemployment Rate in Newport News City, VA [Dataset]. https://fred.stlouisfed.org/series/VANEWP5URN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 1, 2025
    License

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

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for Unemployment Rate in Newport News City, VA (VANEWP5URN) from Jan 1990 to Aug 2025 about Newport News City, VA; Virginia Beach; VA; unemployment; rate; and USA.

  4. U.S. seasonally adjusted unemployment rate 2023-2025

    • statista.com
    Updated Oct 9, 2025
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    Statista (2025). U.S. seasonally adjusted unemployment rate 2023-2025 [Dataset]. https://www.statista.com/statistics/273909/seasonally-adjusted-monthly-unemployment-rate-in-the-us/
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    Dataset updated
    Oct 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2023 - Aug 2025
    Area covered
    United States
    Description

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

  5. T

    Canada Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 5, 2025
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    TRADING ECONOMICS (2025). Canada Unemployment Rate [Dataset]. https://tradingeconomics.com/canada/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 5, 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 31, 1966 - Oct 31, 2025
    Area covered
    Canada
    Description

    Unemployment Rate in Canada decreased to 6.90 percent in October from 7.10 percent in September of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. Real Unemployment -- Department of Labor (U-6)

    • news.gallup.com
    • prostoreroom.com
    Updated Feb 8, 2016
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    Gallup (2016). Real Unemployment -- Department of Labor (U-6) [Dataset]. https://news.gallup.com/poll/189068/bls-unemployment-seasonally-adjusted.aspx.aspx
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    Dataset updated
    Feb 8, 2016
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Description

    Widely reported unemployment metrics in the U.S. do not accurately represent the reality of joblessness in America.

  7. Data from: News media in crisis: a sentiment and emotion analysis of US news...

    • figshare.com
    zip
    Updated May 22, 2024
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    Lingli Yu; Ling Yang (2024). News media in crisis: a sentiment and emotion analysis of US news articles on unemployment in the COVID-19 pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.25879897.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 22, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Lingli Yu; Ling Yang
    License

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

    Description

    This study, integrating sentiment, emotion, discourse, and timeline analyses together, conducts a corpus-based sentiment analysis of the news articles on unemployment from the New York Times in 2020, to capture the emotional dynamics conveyed by the newspaper as the pandemic-induced unemployment developed in the US. The results reveal that positive sentiment in the news articles on unemployment is significantly higher than negative sentiment. In emotion analysis, “trust” and “anticipation”rank the first and second among the eight emotions, while “fear”and “sadness” top the negative emotions. Complemented with a discourse analysis approach, the study reveals that the change of the sentiments and emotions over time is linked with the evolution of the pandemic and unemployment, the policy response as well as the protests against ethnic inequalities. This study highlights the important role mainstream news media play in information dissemination and solution-focused reportage at the time of severe crisis.This dataset contains 14 documents for the data of 2 sentiments and 8 emotions, generated by Python. It includes NRC lexicon categories for the sentiments and emotions in the study (data1-10), top 10 high-frequency words associated to the sentiments and emotions in each of the 12 subcorpora (data11-12), and monthly values of the sentiments and emotions in 2020 (data 13-14).

  8. F

    Unemployment Rate in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)

    • fred.stlouisfed.org
    json
    Updated Oct 1, 2025
    + more versions
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    (2025). Unemployment Rate in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) [Dataset]. https://fred.stlouisfed.org/series/VIRG251URN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 1, 2025
    License

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

    Area covered
    Hampton Roads, North Carolina, Newport News, Virginia
    Description

    Graph and download economic data for Unemployment Rate in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (VIRG251URN) from Jan 1990 to Aug 2025 about Virginia Beach, VA, NC, unemployment, rate, and USA.

  9. U

    United States Unemployment Rate Nowcast: sa: Contribution: Economic...

    • ceicdata.com
    Updated Nov 22, 2021
    + more versions
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    CEICdata.com (2021). United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-unemployment-rate/unemployment-rate-nowcast-sa-contribution-economic-expectation-daily-news-sentiment-index
    Explore at:
    Dataset updated
    Nov 22, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 23, 2024 - Mar 10, 2025
    Area covered
    United States
    Description

    United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data was reported at 0.000 % in 01 Dec 2025. This stayed constant from the previous number of 0.000 % for 24 Nov 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data is updated weekly, averaging 6.742 % from Jan 2020 (Median) to 01 Dec 2025, with 308 observations. The data reached an all-time high of 23.580 % in 28 Dec 2020 and a record low of 0.000 % in 01 Dec 2025. United States Unemployment Rate Nowcast: sa: Contribution: Economic Expectation: Daily News Sentiment Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Unemployment Rate.

  10. M

    Unemployment Rate - economic news from Japan

    • mql5.com
    csv
    Updated Dec 3, 2025
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    MQL5 Community (2025). Unemployment Rate - economic news from Japan [Dataset]. https://www.mql5.com/en/economic-calendar/japan/unemployment-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Dec 25, 2023 - Nov 27, 2025
    Area covered
    Japan
    Description

    Overview with Chart & Report: Unemployment Rate is a percentage of unemployed workers in relation to the total labor force. The unemployed include persons of working age, which are currently unemployed and are actively seeking

  11. C

    China CN: Unemployment Rate: Age 25 to 59

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China CN: Unemployment Rate: Age 25 to 59 [Dataset]. https://www.ceicdata.com/en/china/surveyed-unemployment/cn-unemployment-rate-age-25-to-59
    Explore at:
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2022 - Jun 1, 2023
    Area covered
    China
    Variables measured
    Unemployment
    Description

    China Unemployment Rate: Age 25 to 59 data was reported at 4.100 % in Jun 2023. This stayed constant from the previous number of 4.100 % for May 2023. China Unemployment Rate: Age 25 to 59 data is updated monthly, averaging 4.600 % from Nov 2017 (Median) to Jun 2023, with 67 observations. The data reached an all-time high of 5.600 % in Feb 2020 and a record low of 4.100 % in Jun 2023. China Unemployment Rate: Age 25 to 59 data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Labour Market – Table CN.GB: Surveyed Unemployment. According to NBS news, from Aug 2023, the urban surveyed unemployment rate of the young people by age group will be suspend. 根据国家统计局新闻发布会,自2023年8月份起,全国青年人等分年龄段的城镇调查失业率将暂停发布.

  12. y

    Newport News, VA Unemployment Rate

    • ycharts.com
    html
    Updated Oct 1, 2025
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    Bureau of Labor Statistics (2025). Newport News, VA Unemployment Rate [Dataset]. https://ycharts.com/indicators/newport_news_va_unemployment_rate
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1990 - Aug 31, 2025
    Area covered
    Newport News, Virginia
    Variables measured
    Newport News, VA Unemployment Rate
    Description

    View monthly updates and historical trends for Newport News, VA Unemployment Rate. Source: Bureau of Labor Statistics. Track economic data with YCharts an…

  13. M

    Unemployment Rate - economic news from Germany

    • mql5.com
    csv
    Updated Nov 29, 2025
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    MQL5 Community (2025). Unemployment Rate - economic news from Germany [Dataset]. https://www.mql5.com/en/economic-calendar/germany/unemployment-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Jan 3, 2024 - Nov 28, 2025
    Area covered
    Germany
    Description

    Overview with Chart & Report: Unemployment Rate is a percentage of unemployed workers in relation to Germany's total labor force. The indicator is calculated using seasonally adjusted data. A decrease in unemployment rate can

  14. T

    Japan Unemployment Rate

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 27, 2025
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    TRADING ECONOMICS (2025). Japan Unemployment Rate [Dataset]. https://tradingeconomics.com/japan/unemployment-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Nov 27, 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 31, 1953 - Oct 31, 2025
    Area covered
    Japan
    Description

    Unemployment Rate in Japan remained unchanged at 2.60 percent in October. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  15. M

    Unemployment Rate - economic news from China

    • mql5.com
    csv
    Updated Nov 27, 2025
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    MQL5 Community (2025). Unemployment Rate - economic news from China [Dataset]. https://www.mql5.com/en/economic-calendar/china/unemployment-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 27, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Nov 15, 2022 - Dec 16, 2024
    Area covered
    China
    Description

    Overview with Chart & Report: Unemployment Rate is a percentage of unemployed workers in relation to China's total civilian labor force. The indicator is calculated based on seasonally adjusted data. A decline in the unemployment

  16. Unemployment in America, Per US State

    • kaggle.com
    zip
    Updated Mar 2, 2023
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    The Data Wrangler (2023). Unemployment in America, Per US State [Dataset]. https://www.kaggle.com/justin2028/unemployment-in-america-per-us-state
    Explore at:
    zip(845332 bytes)Available download formats
    Dataset updated
    Mar 2, 2023
    Authors
    The Data Wrangler
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12064410%2Fe1c439d356d34481d8343cfcc5f32bb2%2Funemployment%20flag.png?generation=1677706474308274&alt=media" alt="">

    DAY ~17,000 (January 1976 to December 2022)

    This is a dataset that tracks relevant population statistics and employment rates per US state since 1976.

    All data are official figures from the Bureau of Labor Statistics that have been compiled and structured by myself. Besides the 50 US states, the unemployment data of three other areas are also being tracked in order to increase the analytical potential of the dataset: the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, and New York City.

    Why did I create this dataset? Employment continues to be a significant issue in America today and contributes to other predicaments such as the homelessness crisis. By uploading time-series data regarding American unemployment over the past four decades, I hope that the community is able to determine the various statistical trends offered. In my personal opinion, achieving a quantitative yet objective viewpoint of a subject such as unemployment is crucial to understanding the issues at hand.

    Data Sources

    The primary data source used was the Bureau of Labor Statistics's official website, which publishes employment data pertaining to America. Considering the meticulous documentation of federal statistics by such a accredited government agency, no other authority is more equipped to provide insight on US unemployment.
    1. The Bureau of Labor Statistics's Economic News Release on (Monthly) State Employment and Unemployment - The Bureau of Labor Statistics has published monthly updates on unemployment rates since January 1976.
    2. The Bureau of Labor Statistics's State Employment and Unemployment Technical Note - The Bureau of Labor Statistics released a detailed overview of their unemployment data, the methodology behind their data, and the proper definitions and terminologies for the variables tracked. The guide mainly provided essential contextual knowledge needed to create a meaningful dataset.

    Statistics Being Tracked

    • FIPS Code of State/Area
    • Year/Month of Statistic
    • Total Civilian Non-Institutional Population in State/Area
    • Total Civilian Labor Force in State/Area
    • Percent (%) of State/Area's Population
    • Total Employment in State/Area
    • Percent (%) of Labor Force Employed in State/Area
    • Total Unemployment in State/Area
    • Percent (%) of Labor Force Unemployed in State/Area

    Dataset History

    2023-03-01 - Dataset is created (17,227 days after temporal coverage start date).

    GitHub Repository - The same data but on GitHub.

    Code Starter

    Link to Notebook

  17. Weibo Unemployment Discourse 2023

    • kaggle.com
    zip
    Updated Dec 14, 2023
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    Matthew Fung (2023). Weibo Unemployment Discourse 2023 [Dataset]. https://www.kaggle.com/datasets/matt0922/weibo-unemployment-discourse-2023/discussion
    Explore at:
    zip(178492134 bytes)Available download formats
    Dataset updated
    Dec 14, 2023
    Authors
    Matthew Fung
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Hi! This dataset contains Weibo posts that contains the word "Unemployment" from January 2023 to November 2023.

  18. M

    Unemployment Rate - economic news from South Korea

    • mql5.com
    csv
    Updated Nov 19, 2025
    + more versions
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    MQL5 Community (2025). Unemployment Rate - economic news from South Korea [Dataset]. https://www.mql5.com/en/economic-calendar/south-korea/unemployment-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Dec 12, 2023 - Nov 11, 2025
    Area covered
    South Korea
    Description

    Overview with Chart & Report: The Unemployment Rate reflects a percentage of unemployed workers in relation to the total labor force. The unemployed include persons of working age, which are currently unemployed and are actively

  19. U.S. Unemployment, Seasonally Adjusted

    • news.gallup.com
    Updated Jul 2, 2013
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    Gallup (2013). U.S. Unemployment, Seasonally Adjusted [Dataset]. https://news.gallup.com/poll/163358/unemployment-seasonally-adjusted.aspx
    Explore at:
    Dataset updated
    Jul 2, 2013
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Description

    Gallup tracks daily the percentage of U.S. adults, ages 18 and older, who are unemployed. "Unemployed" respondents are those who are not employed, even for one hour a week, but are available and looking for work. Unemployment is calculated as a percent of the workforce. Monthly results reflect an average of the calendar month, based on telephone interviews with approximately 30,000 adults. Gallup adjusts its unemployment rate using the seasonal adjustment the BLS used in the same month in the prior year.

  20. CBS News/New York Times Monthly Poll, December 2009

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Jul 8, 2011
    + more versions
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    Inter-university Consortium for Political and Social Research [distributor] (2011). CBS News/New York Times Monthly Poll, December 2009 [Dataset]. http://doi.org/10.3886/ICPSR30407.v1
    Explore at:
    ascii, spss, delimited, sas, stataAvailable download formats
    Dataset updated
    Jul 8, 2011
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/30407/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/30407/terms

    Time period covered
    Dec 2009
    Description

    This poll, fielded December 4-8, 2009, is a part of a continuing series of monthly surveys that solicits public opinion on the presidency and on a range of other political and social issues. Respondents were asked whether they approved of the way Barack Obama was handling his job as president, job creation, the economy, the situation in Afghanistan, and health care. Several questions addressed the economy and included questions that asked for respondents' opinions on the condition of the economy, the recession, who they thought was to blame for the current high employment rate in the United States, whether they thought Republicans or Democrats would create new jobs, and whether the government's stimulus package made the economy better or created new jobs. Respondents were asked about their personal financial situation, their rating of their household's financial situation, whether they thought their financial situation was getting better, what worried them the most about their finances, whether they had made cutbacks in their day-to-day spending, how their family had been affected by the recession, and whether they discussed the financial changes with their children. Information was collected on respondents' employment status. Unemployed respondents were asked how long they had been out of work and seeking employment, how long they expected it to take to find employment, whether they were laid off, whether they were offered a severance package with their last employer, what was most effective in finding leads for new jobs, and whether they had relocated, considered changing their career, or pursued job re-training programs to increase their chances of finding employment. Respondents were asked how confident they were that they would find a job with the same income and benefits as their last job, whether they were receiving unemployment benefits, and whether they took any money from their savings account, borrowed money from family or friends, increased the household's credit card debt, cut back on vacations or doctors visits, or received food stamps as result of being unemployed. Respondents were also asked whether the following things occurred as a result of them being unemployed: positive experiences, increase in volunteer work or religious service attendance, increased stress levels or exercise time, threatened with foreclosure, had more arguments with family, emotional or mental health issues, or had trouble sleeping. Other topics covered included global warming, health insurance plans, health care reform, job security, and the war in Afghanistan. Demographic information includes sex, age, race, education level, household income, military service, religious preference, reported social class, type of residential area (e.g., urban or rural), political party affiliation, political philosophy, voter registration status, and whether respondents thought of themselves as born again Christians.

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Guillem SD (2024). U.S. Unemployment Rates [Dataset]. https://www.kaggle.com/datasets/guillemservera/us-unemployment-rates
Organization logo

U.S. Unemployment Rates

Monthly unemployment data from the FRED, spanning from 1948 to present.

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 10, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Guillem SD
License

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

Area covered
United States
Description

Introduction

The U.S. job market, with its dynamic trends and fluctuating unemployment rates, serves as an important barometer for the nation's economic health. All rates provided in this dataset are seasonally adjusted. Delving into the intricacies of unemployment rates by age and gender helps researchers, policymakers, and analysts uncover underlying patterns and address potential disparities.

Usage Examples

  • Economic Research: Study the historical unemployment trends to gauge economic cycles.
  • Policy Making: Inform labor market policies and interventions based on age or gender disparities.
  • Business Strategy: Companies can analyze job market conditions when considering expansions or contractions.
  • Academic Projects: Students and educators can use the dataset for case studies, dissertations, or classroom projects.

Image Source Photo by Ron Lach : https://www.pexels.com/photo/woman-looking-for-jobs-in-newspaper-9832700/

Dataset Contents

This dataset, sourced from the FRED API, provides: - df_sex_unemployment_rates.csv: A breakdown of U.S. unemployment rates based on gender. - df_unemployment_rates.csv: Unemployment rates categorized by various age groups, ranging from young entrants (ages 16-17) to seasoned professionals (55 and above).

Together, these data files offer a comprehensive insight into the nuances of unemployment in the U.S., highlighting potential disparities in the job market across different age groups and between men and women.

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