72 datasets found
  1. M

    Fed Labor Market Conditions Index - economic news from the United States

    • mql5.com
    csv
    Updated Nov 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MQL5 Community (2025). Fed Labor Market Conditions Index - economic news from the United States [Dataset]. https://www.mql5.com/en/economic-calendar/united-states/labor-market-conditions-index
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 21, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Aug 10, 2015 - Jul 10, 2017
    Area covered
    United States
    Description

    Overview with Chart & Report: Fed Labor Market Conditions Index is calculated monthly using 19 parameters. They include the unemployment rate, wages, number of job cuts, etc. The Fed applies it to comprehensively assess the labor

  2. Stats SA Labour Market Dynamics (2016)

    • kaggle.com
    zip
    Updated Nov 3, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    mpiyakhe siphamandla nelson dhlamini (2018). Stats SA Labour Market Dynamics (2016) [Dataset]. https://www.kaggle.com/mdtycho/stats-sa-labour-market-dynamics-2016
    Explore at:
    zip(7319039 bytes)Available download formats
    Dataset updated
    Nov 3, 2018
    Authors
    mpiyakhe siphamandla nelson dhlamini
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by mpiyakhe siphamandla nelson dhlamini

    Released under CC0: Public Domain

    Contents

  3. T

    United States Job Openings

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Job Openings [Dataset]. https://tradingeconomics.com/united-states/job-offers
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 30, 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
    Dec 31, 2000 - Aug 31, 2025
    Area covered
    United States
    Description

    Job Offers in the United States increased to 7227 Thousand in August from 7208 Thousand in July of 2025. This dataset provides the latest reported value for - United States Job Openings - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. Job Dataset

    • kaggle.com
    zip
    Updated Sep 17, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ravender Singh Rana (2023). Job Dataset [Dataset]. https://www.kaggle.com/datasets/ravindrasinghrana/job-description-dataset
    Explore at:
    zip(479575920 bytes)Available download formats
    Dataset updated
    Sep 17, 2023
    Authors
    Ravender Singh Rana
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Job Dataset

    This dataset provides a comprehensive collection of synthetic job postings to facilitate research and analysis in the field of job market trends, natural language processing (NLP), and machine learning. Created for educational and research purposes, this dataset offers a diverse set of job listings across various industries and job types.

    Descriptions for each of the columns in the dataset:

    1. Job Id: A unique identifier for each job posting.
    2. Experience: The required or preferred years of experience for the job.
    3. Qualifications: The educational qualifications needed for the job.
    4. Salary Range: The range of salaries or compensation offered for the position.
    5. Location: The city or area where the job is located.
    6. Country: The country where the job is located.
    7. Latitude: The latitude coordinate of the job location.
    8. Longitude: The longitude coordinate of the job location.
    9. Work Type: The type of employment (e.g., full-time, part-time, contract).
    10. Company Size: The approximate size or scale of the hiring company.
    11. Job Posting Date: The date when the job posting was made public.
    12. Preference: Special preferences or requirements for applicants (e.g., Only Male or Only Female, or Both)
    13. Contact Person: The name of the contact person or recruiter for the job.
    14. Contact: Contact information for job inquiries.
    15. Job Title: The job title or position being advertised.
    16. Role: The role or category of the job (e.g., software developer, marketing manager).
    17. Job Portal: The platform or website where the job was posted.
    18. Job Description: A detailed description of the job responsibilities and requirements.
    19. Benefits: Information about benefits offered with the job (e.g., health insurance, retirement plans).
    20. Skills: The skills or qualifications required for the job.
    21. Responsibilities: Specific responsibilities and duties associated with the job.
    22. Company Name: The name of the hiring company.
    23. Company Profile: A brief overview of the company's background and mission.

    Potential Use Cases:

    • Building predictive models to forecast job market trends.
    • Enhancing job recommendation systems for job seekers.
    • Developing NLP models for resume parsing and job matching.
    • Analyzing regional job market disparities and opportunities.
    • Exploring salary prediction models for various job roles.

    Acknowledgements:

    We would like to express our gratitude to the Python Faker library for its invaluable contribution to the dataset generation process. Additionally, we appreciate the guidance provided by ChatGPT in fine-tuning the dataset, ensuring its quality, and adhering to ethical standards.

    Note:

    Please note that the examples provided are fictional and for illustrative purposes. You can tailor the descriptions and examples to match the specifics of your dataset. It is not suitable for real-world applications and should only be used within the scope of research and experimentation. You can also reach me via email at: rrana157@gmail.com

  5. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Nov 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  6. U.S. Job Market (Weekly)

    • news.gallup.com
    Updated Jan 21, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gallup (2012). U.S. Job Market (Weekly) [Dataset]. https://news.gallup.com/poll/151118/job-market-weekly.aspx
    Explore at:
    Dataset updated
    Jan 21, 2012
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Area covered
    United States
    Description

    Gallup tracks daily the percentage of employed Americans who, based on what they know or have seen, report that their company or employer is hiring new people and expanding the size of its workforce, not changing the size of its workforce, or letting people go and reducing the size of its workforce. Weekly results are based on telephone interviews with approximately 4,000 working adults; Margin of error is ±1 percentage points.

  7. T

    United States Change In Labor Market Conditions Index

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Change In Labor Market Conditions Index [Dataset]. https://tradingeconomics.com/united-states/labor-market-conditions-index
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Sep 15, 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
    Aug 31, 1976 - Jun 30, 2017
    Area covered
    United States
    Description

    Labor Market Conditions Index in the United States decreased to 1.50 Index Points in June from 3.30 Index Points in May of 2017. This dataset provides the latest reported value for - United States Labor Market Conditions Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. Bangladeshi Job Market Dataset(8k+): [2023]

    • kaggle.com
    zip
    Updated Mar 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joy Shil (2023). Bangladeshi Job Market Dataset(8k+): [2023] [Dataset]. https://www.kaggle.com/datasets/joyshil0599/bangladeshi-job-market-dataset-2023
    Explore at:
    zip(455407 bytes)Available download formats
    Dataset updated
    Mar 16, 2023
    Authors
    Joy Shil
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Bangladesh
    Description

    https://fistfuloftalent.com/wp-content/uploads/2019/05/Screen-Shot-2019-05-22-at-9.06.45-AM-1073x602.png">

    The Bangladeshi Job Market Dataset contains data on job listings from three Bangladeshi job websites: bdjobs.com, Careerjet.com, and Skilljobs.com. The dataset includes information such as job title, company name, job location, job category, salary range (where available), and job description. The data was scraped in 2023 and covers a wide range of industries and job types in Bangladesh.

    bdjobs : Bdjobs.com Ltd. is the first and leading career management site in the country. Eight young business and IT professional backed by strong command over e-business and in-depth understanding of the needs of job seekers and employers in the country's context started this venture on July 2000.

    The vision of the company is to try bringing Internet technology in the mainstream business and economic life of the society.

    The web-site aims to explore maximum benefits of the Internet. This site will also help employers solve many of the problems associated with traditional recruiting methods and allow them to save time and money.

    Right after its launching, the site has been able to attract the Internet users in the country. The site regularly updates Job Information (on average more than 4500 valid job news are placed at any point of time at the site), provides facility to the job seekers for posting resume and online application. The site has also been able to get good response from a large number of organizations in the country who use online job advertisement facility, online CV bank access and online application receiving and processing facility of www.bdjobs.com. Till now, more than 45,000 employers in the country have recruited more than 1 million professionals at different.

    Careerjet : Careerjet is a job search engine designed to make the process of finding a job on the internet easier for the user. It maps the huge selection of job offerings available on the internet in one extensive database by referencing job listings originating from job boards, recruitment agency websites and large specialist recruitment sites. Using a fast and straightforward interface, users can query this database and save themselves the trouble of visiting each site individually. The job offerings themselves are not hosted by Careerjet and users are always redirected to the original job listing. Essentially, Careerjet acts as traffic driver to those sites. Careerjet's job search engine network encompasses over 90 countries, featuring separate interfaces that are translated into 28 languages.

    Skilljobs : Skill.Jobs has been developed focusing on our past 20+ experiences in the Global Job Market, particularly, the latest trends in the job field, skill matrix, technological advancement, demand and expectations of modern organizations. The organization has been originated from Jobsbd.com, the first ever job portal in Bangladesh and later renamed as Skill.Jobs simply to express the focus of the organizations and to concentrate more on its service patterns. The idea was to make our position more unique and specific while we work! Skill.jobs has started its operation simultaneously in Bangladesh and Malaysia and soon it's going to start same in Australia UK and UAE.

    Skill.Jobs will work as a hub to prepare the job seekers for the relevant industries through enhancing and developing skills of job seekers, bring opportunity for the job seekers and advocate for them to the HR world. On the other hand, Skill.Jobs will make the task of HRD vey easy and simple through helping them to find the right candidate with required skills rather than forwarding huge database of job seekers.

    The dataset provides valuable insights into the Bangladeshi job market and can be used by researchers, analysts, and job seekers to understand trends in the job market, identify skills in demand, and assess job opportunities in various regions of the country.

    Before uploading the dataset to Kaggle, the data was preprocessed to ensure accuracy and consistency. The original data was cleaned, standardized, and formatted in a way that makes it easy to analyze and work with.

    Note that this dataset is intended for educational and research purposes only and should not be used for commercial purposes without proper attribution and permissions from the original websites.

  9. T

    United States Non Farm Payrolls

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    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
    Feb 28, 1939 - Sep 30, 2025
    Area covered
    United States
    Description

    Non Farm Payrolls in the United States increased by 119 thousand in September 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.

  10. U.S. Job Creation Index (Weekly)

    • news.gallup.com
    Updated Jan 21, 2009
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gallup (2009). U.S. Job Creation Index (Weekly) [Dataset]. https://news.gallup.com/poll/127541/job-creation-index-weekly.aspx
    Explore at:
    Dataset updated
    Jan 21, 2009
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Area covered
    United States
    Description

    Gallup's Job Creation Index is the net of Gallup's Job Market measure, subtracting the percentage of workers who say their employer is letting people go and reducing the size of its workforce from the percentage who say their employer is hiring new workers and expanding the size of its workforce. Weekly results are based on telephone interviews with approximately 4,000 working adults; margin of error is ±2 percentage points.

  11. T

    United States Employment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 15, 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

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

  12. C

    China CN: Unemployment Rate: Age 25 to 59

    • ceicdata.com
    Updated Oct 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  13. Data from: CBS News Monthly Poll #1, August 2003

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Apr 29, 2009
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CBS News (2009). CBS News Monthly Poll #1, August 2003 [Dataset]. http://doi.org/10.3886/ICPSR03917.v3
    Explore at:
    sas, ascii, spss, stata, delimitedAvailable download formats
    Dataset updated
    Apr 29, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    CBS News
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/3917/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3917/terms

    Time period covered
    Aug 2003
    Area covered
    United States
    Description

    This poll, conducted August 11-12, 2003, is part of a continuing series of monthly polls that solicit opinions on political and social issues. Respondents were asked to give their opinions of President George W. Bush and his overall job performance, as well as his handling of the situation with Iraq, foreign policy issues, and the economy. Questions related to the United States involvement in Iraq addressed whether removing Saddam Hussein from power and the result of the war with Iraq was worth the human and economic costs, how well things were going for the United States in its efforts to bring stability and order to Iraq, whether the United States was in control of events in Iraq, respondents' level of confidence that the United States would eventually find weapons of mass destruction in Iraq, whether it mattered if weapons of mass destruction were found, respondents' level of confidence in the United States' ability to capture or kill Saddam Hussein, and whether the United States had won the war if Hussein was not captured or killed. Views were also sought on whether respondents considered Saudi Arabia to be an ally, friendly but not an ally, unfriendly, or an enemy of the United States. Respondents were asked about the most important issue facing the United States, the condition of the national economy and whether it was improving, getting worse, or staying the same, whether the economy and job market were better or worse than two years ago, the degree of progress made by the Bush administration on improving the economy and creating new jobs, whether the respondent's financial situation was better or worse than two years ago, the condition of the respondent's own state's economy, and how concerned respondents were that a member of their household would lose his or her job in the next year. Specific questions concerning the economy addressed the overall condition of the stock market, expected changes in the stock market, the impact of the stock market on the condition of the national economy, the effects of the new tax cuts on the stock market, the likelihood that the new tax cuts would create more jobs, whether the respondent had received a tax rebate check for the current year, whether the tax rebate money was spent, used to pay bills, or saved or invested, and whether the respondent and his or her spouse currently had any money invested in the stock market. Additional questions addressed whether the respondent would vote to recall his or her state's governor if given the chance, and whether Hollywood celebrities should become involved in politics. Background variables include age, sex, ethnicity, marital status, religion, education, 2002 household income, political orientation, political ideology, whether the respondent voted in the 2000 presidential election, and for whom they voted (Al Gore, George W. Bush, Pat Buchanan, or Ralph Nader).

  14. F

    Civilian Labor Force in Virginia Beach-Norfolk-Newport News, VA-NC (MSA)

    • fred.stlouisfed.org
    json
    Updated Oct 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Civilian Labor Force in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) [Dataset]. https://fred.stlouisfed.org/series/VIRG251LFN
    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, Newport News, Virginia, North Carolina
    Description

    Graph and download economic data for Civilian Labor Force in Virginia Beach-Norfolk-Newport News, VA-NC (MSA) (VIRG251LFN) from Jan 1990 to Aug 2025 about Virginia Beach, VA, civilian, NC, labor force, labor, and USA.

  15. T

    Vietnam Labor Force Participation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Vietnam Labor Force Participation Rate [Dataset]. https://tradingeconomics.com/vietnam/labor-force-participation-rate
    Explore at:
    json, xml, excel, csvAvailable download formats
    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
    Mar 31, 2016 - Sep 30, 2025
    Area covered
    Vietnam
    Description

    Labor Force Participation Rate in Vietnam increased to 68.60 percent in the third quarter of 2025 from 68.20 percent in the second quarter of 2025. This dataset provides - Vietnam Labor Force Participation Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. Z

    Alesina's Public Reception in Media (1988–2020): Gale Files (Magazines and...

    • data.niaid.nih.gov
    Updated Feb 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    BRUNAZZI, GIANMARIA (2025). Alesina's Public Reception in Media (1988–2020): Gale Files (Magazines and News) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_14928993
    Explore at:
    Dataset updated
    Feb 26, 2025
    Dataset provided by
    Università degli Studi di Milano
    Authors
    BRUNAZZI, GIANMARIA
    Description

    To examine Alberto Alesina (1957-2020)’s contributions to public debate and the reception of his ideas, I compiled two excel files based on data extracted from Gale’s database. These files systematically track the presence of Alesina’s work in international magazines and newspapers from 1988 to May 2020.

    1. Gale Magazines FileThis dataset aggregates 309 entries, only one of which is authored by Alesina. The data were collected non-selectively from the Magazines section of the Gale Academic OneFile database. It includes articles from prominent international magazines such as The Economist, Reason, Spectator, National Review, Foreign Policy, The Weekly Standard, and institutional reports from organizations like the IMF, OECD, ECB, FED, and national central banks.

    2. Gale Newspapers FileThis dataset contains 218 entries, eight of which are authored by Alesina. The data were collected non-selectively from the News section of the Gale Academic OneFile database. It features articles from major international newspapers, including The Times, The New York Times, Financial Times, The Guardian, The Observer, The Washington Post, The Globe & Mail, The Australian, El Tiempo, and others.

    Dataset Curation and EnrichmentBoth datasets were carefully curated to remove duplicates and selection errors. They provide metadata on:

    • Author (if applicable)- Publication (name of the newspaper/magazine)- Date (publication date)- Title (article headline)- Citations of Alesina’s academic works

    To facilitate deeper analysis, the datasets were enriched with:

    • An indication of whether the article supports Alesina’s theories- The placement of citations (in footnotes or the main text)- Up to five keywords per entry, selected from a predefined set of 50 terms, to enable statistical analysis and minimize subjective bias.

    This is the legend for the keywords:

    1. Banks/Financial Markets/Credit2. Bubbles/Speculation/Leverages3. Budget Cuts/Austerity4. Central Bank/Interest Rates5. Competition/Free Trade/Market Size6. Consumption/Demand/Spending7. Corruption/Personal Interest/Tax Evasion8. Culture/Work Ethic/Values/Family9. Debt/Deficit10. Democracy/Civil Rights/Western Rule of Law11. Diversity/Fragmentation/Segregation12. Education/Formation/Human capital13. Fiscal Policy14. Gender/Women15. Government/Parliament/Institutions16. Growth/Business Cycles/Productivity17. Ideology (Liberalism, Communism, Keynesism, Fascism)18. Immigration/Ethnicity/Race/Discrimination19. Inequality/Poverty/Distribution/Social Mobility20. Inflation/Deflation21. Innovation/Technology/R&D22. Instability/Distress/Crisis23. Investments/Risk/Entrepreneurship24. Labour Policies/Labour Market Participation25. Rest/Leisure/Social Protection26. Form, Size and Constitution of States27. Monetary Policy28. Monetary/Fiscal/Political Unions29. Pensions/Aging/Old generations30. Planning/Coordination/Centralisation31. Politics (Elections, alternation, instability)32. Power Relations (Classes, States)33. Precarity/Flexibility/Mobility34. Private Savings/Private Debt35. Privatization/Deregulation/Liberalisation36. Public Sector/Public Economics/ Public Investments37. Braveness/Individualism/Merit38. Welfare/Social Spending39. Solidarity/Community/Integration/Inclusivity40. Globalization/Western hegemony41. Supranational Institutions42. Technocracy/Structural Reforms43. Trade Unions/Social and Political Conflict44. Trust/Credibility/Transaction costs/Transparency45. Underdevelopment//FDI/Geopolitical Strategies46. Unemployment/Social Distress47. Wages//Exploitation48. War/Defence/Protectionism49. Young/Future Generations50. Tax breaks/Subsidies/Stimuli

    These datasets provide a unique resource for understanding the evolution of Alesina’s public reception and the dissemination of neoliberal economic ideas across media over three decades.

  17. V

    Alternative Measures of Labor Underutilization for States, 2023 Annual...

    • data.virginia.gov
    csv
    Updated Oct 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Datathon 2024 (2025). Alternative Measures of Labor Underutilization for States, 2023 Annual Averages [Dataset]. https://data.virginia.gov/dataset/alternative-measures-of-labor-underutilization-for-states-2023-annual-averages
    Explore at:
    csv(12811)Available download formats
    Dataset updated
    Oct 23, 2025
    Dataset authored and provided by
    Datathon 2024
    Description

    Six alternative measures of labor underutilization have long been available on a monthly basis from the Current Population Survey (CPS) for the United States as a whole. They are published in the Bureau of Labor Statistics' monthly Employment Situation news release. (See table 15.) The official concept of unemployment (as measured in the CPS by U-3 in the U-1 to U-6 range of alternatives) includes all jobless persons who are available to take a job and have actively sought work in the past four weeks. This concept has been thoroughly reviewed and validated since the inception of the CPS in 1940. The other measures are provided to data users and analysts who want more narrowly (U-1 and U-2) or broadly (U-4 through U-6) defined measures.

    BLS is committed to updating the alternative measures data for states on a 4-quarter moving-average basis. The use of 4-quarter averages increases the reliability of the CPS estimates, which are based on relatively small sample sizes at the state level, and eliminates seasonality. Due to the inclusion of lagged quarters, the state alternative measures may not fully reflect the current status of the labor market. The analysis that follows pertains to the 2023 annual averages. Data are also available for prior time periods back to 2003.

  18. Data from: Has the Market’s Perception of the FOMC’s Reaction Function...

    • clevelandfed.org
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Reserve Bank of Cleveland, Has the Market’s Perception of the FOMC’s Reaction Function Changed since the Onset of the COVID-19 Pandemic? [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2025/ec-202512-markets-of-fomcs-reaction-changed-since-covid-19
    Explore at:
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    A monetary policy reaction function typically describes how a central bank’s policy rate responds to changes in economic fundamentals, such as inflation and labor market conditions, and other factors. We use minute-by-minute data on two-year Treasury yields to study the market-expected monetary policy reaction function from 2004 to 2024. We find that financial markets expected monetary policy to react more aggressively to inflation news during 2022–2024 than in the pre-COVID-19-pandemic period. In addition, we find that the sensitivity of the two-year Treasury yield to economic news other than core inflation and labor market conditions has decreased over time. This time-varying sensitivity to changes in economic fundamentals may reflect an actual change in the FOMC’s reaction function, or it may be associated with the fact that market participants became more attentive to inflation news after the pandemic recession period.

  19. T

    Spain Employment Rate

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Spain Employment Rate [Dataset]. https://tradingeconomics.com/spain/employment-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Feb 8, 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
    Sep 30, 1976 - Sep 30, 2025
    Area covered
    Spain
    Description

    Employment Rate in Spain increased to 53.10 percent in the third quarter of 2025 from 52.96 percent in the second quarter of 2025. This dataset provides - Spain Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. Views on responsibility in staying relevant in the job market Singapore 2023...

    • statista.com
    Updated Oct 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Views on responsibility in staying relevant in the job market Singapore 2023 [Dataset]. https://www.statista.com/statistics/1469931/singapore-views-on-job-relevance-responsibilities/
    Explore at:
    Dataset updated
    Oct 16, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2023
    Area covered
    Singapore
    Description

    A survey conducted by Singaporean online news outlet Today in August 2023 found that the majority of youths polled saw it as their personal responsibility to keep their skills relevant for the employment market. ** percent of youths surveyed stated that they agreed with that sentiment, while ** percent strongly agreed with it.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
MQL5 Community (2025). Fed Labor Market Conditions Index - economic news from the United States [Dataset]. https://www.mql5.com/en/economic-calendar/united-states/labor-market-conditions-index

Fed Labor Market Conditions Index - economic news from the United States

Federal Reserve System (Fed) Labor Market Conditions Index

Explore at:
csvAvailable download formats
Dataset updated
Nov 21, 2025
Dataset authored and provided by
MQL5 Community
Time period covered
Aug 10, 2015 - Jul 10, 2017
Area covered
United States
Description

Overview with Chart & Report: Fed Labor Market Conditions Index is calculated monthly using 19 parameters. They include the unemployment rate, wages, number of job cuts, etc. The Fed applies it to comprehensively assess the labor

Search
Clear search
Close search
Google apps
Main menu