3 datasets found
  1. M

    U.S. National Unemployment Rate - 77 Years of Historical Data

    • macrotrends.net
    csv
    Updated May 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MACROTRENDS (2025). U.S. National Unemployment Rate - 77 Years of Historical Data [Dataset]. https://www.macrotrends.net/1316/us-national-unemployment-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 27, 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

    Area covered
    World, United States
    Description

    Long term historical dataset of the united states national unemployment rate back to 1948. Compares the level and annual rate of change.

  2. T

    United States Labor Force Participation Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Labor Force Participation Rate [Dataset]. https://tradingeconomics.com/united-states/labor-force-participation-rate
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 6, 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 - May 31, 2025
    Area covered
    United States
    Description

    Labor Force Participation Rate in the United States decreased to 62.40 percent in May from 62.60 percent in April of 2025. This dataset provides the latest reported value for - United States Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. p

    CSES Module 4 Fourth Advance Release

    • pollux-fid.de
    Updated 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ian McAllister; Juliet Pietsch; Clive Bean; Rachel Gibson; Sylvia Kritzinger; Wolfgang C. Müller; Klaus Schönbach; Rachel Meneguello; Alina Dobreva; Patrick Fournier; Fred Cutler; Stuart Soroka; Dietlind Stolle; Lukas Linek; Kimmo Groenlund; Hanna Wass; Nicolas Sauger; Bernhard Wessels; Hans Rattinger; Sigrid Roßteutscher; Rüdiger Schmitt-Beck; Christof Wolf; Edward Fieldhouse; Jane Green; Geoffrey Evans; Hermann Schmitt; Cees Van der Eijk; Jonathan Mellon; Christopher Prosser; Theodore Chadjipadelis; Ioannis Andreadis; Li Pang-kwong; Olafur P. Hardarson; Eva H. Onnudottir; Michael Marsh; Michal Shamir; Ken'ichi Ikeda; Masahiro Yamada; Yukio Maeda; Naoko Taniguchi; Satoko Yasuno; Tetsuro Kobayashi; Kazunori Inamasu; Robert Mattes; Winnie Mitullah; Abel Oyuke; Ulises Beltrán; Rosario Aguilar; Olivera Komar; Pavle Gegaj; Milo Bešic; Jack Vowles; Hilde Coffe; Bernt Aardal; Johannes Bergh; Linda Luz Guerrero; Vladymir Joseph Licudine; Radosław Markowski; Mikołaj Cześnik; Paweł Grzelak; Michal Kotnarowski; Pedro Magalhaes; Marina Costa Lobo; Joao Tiago Gaspar; Mircea Comsa; Florin N. Fesnic; Bojan Todosijevic; Zoran Pavlovic; Olga Gyarfasova; Miloslav Bahna; Janez Stebe; Collette Shulz-Herzenberg; Nam Young Lee; Wook Kim; Henrik Oscarsson; Georg Lutz; Chi Huang; Thawilwadee Bureekul; Robert B. Albitton; Ratchawadee Sangmahamad; Ali Carkoglu; Selim Erdem Aytac; Dave A. Howell; Altin Ilirjani; Darrell Donakowski; Vincent Hutchings; Simon Jackman; Gary M. Segura (2017). CSES Module 4 Fourth Advance Release [Dataset]. http://doi.org/10.7804/cses.module4.2017-04-11
    Explore at:
    Dataset updated
    2017
    Dataset provided by
    Montenegro: De Facto Consultancy, Podgorica
    Thailand: King Prajadhipok's Institute, Bangkok
    Mexico: CAMPO, S. C., Puebla
    Serbia: Ipsos Strategic Marketing, Belgrad
    Sweden: Statistics Sweden, SCB, Örebro
    Switzerland: DemoSCOPE Research & Marketing, Adligenswil
    France: TNS-Sofres, Montrouge
    Great Britain: GfK UK Ltd, London
    Philippines: Social Weather Stations, Quezon City
    Austria: Jaksch & Partner, Linz
    Ireland: RED C Research & Marketing Ltd, Dublin
    United States: Abt SRBI, New York
    Poland: Public Opinion Research Center (Centrum Badania Opinii Społecznej,CBOS), Warsaw
    Bulgaria: TNS BBSS SEE, Sofia
    Australia: Survey Research Centre Pty Ltd, Melbourne
    Japan: Nippon Research Center (Member of Gallup International Association), Tokyo
    Norway: Statistics Norway, Oslo
    Canada: Institute for Social Research (Canada outside Quebec), Toronto & Jolicoeur & Associés (Quebec), Montreal
    Iceland: Social Science Research Institute of the University of Iceland, Reykjavík
    Romania: KANTAR TNS (CSOP), Bucharest
    Czech Republic: CVVM (Center for public opinion research) at the Institute of Sociology, Czech Academy of Sciences, Prague
    Kenya: Institute for Development Studies University of Nairobi, Nairobi
    Portugal: GfK Portugal – Metris, Lisbon
    South Korea: Korean Social Science Data Center, Seoul
    South Africa: Citizen Surveys, Woodstock
    Hong Kong: Public Governance Programme, Hong Kong
    Finland: TNS Gallup Oy, Espoo
    The Comparative Study of Electoral Systems
    Slovakia: TNS Slovakia s.r.o., Bratislava
    Slovenia: CJMMK (Public Opinion and Mass Communication Research Centre), Ljubljana
    Turkey: Frekans Araştırma, Istanbul
    Germany: MARPLAN Media- und Sozialforschungsgesellschaft mbH, Frankfurt am Main
    Greece: Artistotle University of Thessaloniki Laboratory of Applied Political Research, To The Point Research Consulting Communication S.A., Thessaloniki
    New Zealand: Centre for Methods and Policy Applications in the Social Sciences (COMPASS), University of Auckland, Auckland
    Brazil: IBOPE Inteligência, São Paulo
    Taiwan: Department of Political Science, National Taiwan University, Taipei
    Israel: The B.I. and Lucille Cohen institute for Public Opinion Research, Tel Aviv
    Authors
    Ian McAllister; Juliet Pietsch; Clive Bean; Rachel Gibson; Sylvia Kritzinger; Wolfgang C. Müller; Klaus Schönbach; Rachel Meneguello; Alina Dobreva; Patrick Fournier; Fred Cutler; Stuart Soroka; Dietlind Stolle; Lukas Linek; Kimmo Groenlund; Hanna Wass; Nicolas Sauger; Bernhard Wessels; Hans Rattinger; Sigrid Roßteutscher; Rüdiger Schmitt-Beck; Christof Wolf; Edward Fieldhouse; Jane Green; Geoffrey Evans; Hermann Schmitt; Cees Van der Eijk; Jonathan Mellon; Christopher Prosser; Theodore Chadjipadelis; Ioannis Andreadis; Li Pang-kwong; Olafur P. Hardarson; Eva H. Onnudottir; Michael Marsh; Michal Shamir; Ken'ichi Ikeda; Masahiro Yamada; Yukio Maeda; Naoko Taniguchi; Satoko Yasuno; Tetsuro Kobayashi; Kazunori Inamasu; Robert Mattes; Winnie Mitullah; Abel Oyuke; Ulises Beltrán; Rosario Aguilar; Olivera Komar; Pavle Gegaj; Milo Bešic; Jack Vowles; Hilde Coffe; Bernt Aardal; Johannes Bergh; Linda Luz Guerrero; Vladymir Joseph Licudine; Radosław Markowski; Mikołaj Cześnik; Paweł Grzelak; Michal Kotnarowski; Pedro Magalhaes; Marina Costa Lobo; Joao Tiago Gaspar; Mircea Comsa; Florin N. Fesnic; Bojan Todosijevic; Zoran Pavlovic; Olga Gyarfasova; Miloslav Bahna; Janez Stebe; Collette Shulz-Herzenberg; Nam Young Lee; Wook Kim; Henrik Oscarsson; Georg Lutz; Chi Huang; Thawilwadee Bureekul; Robert B. Albitton; Ratchawadee Sangmahamad; Ali Carkoglu; Selim Erdem Aytac; Dave A. Howell; Altin Ilirjani; Darrell Donakowski; Vincent Hutchings; Simon Jackman; Gary M. Segura
    Description

    The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset.

    CSES Variable List
    The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module.

    Themes:

    MICRO-LEVEL DATA:

    Identification and study administration variables:
    weighting factors; election type; date of election 1st and 2nd round; study timing (post-election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election; language of questionnaire.

    Demography:
    year and month of birth; gender; education; marital status; union membership; union membership of others in household; business association membership, farmers´ association membership; professional association membership; current employment status; main occupation; socio economic status; employment type - public or private; industrial sector; current employment status, occupation, socio economic status, employment type - public or private, and industrial sector of spouse; household income; number of persons in household; number of children in household under the age of 18; number of children in household under the age of 6; attendance at religious services; religiosity; religious denomination; language usually spoken at home; region of residence; race; ethnicity; rural or urban residence; primary electoral district; country of birth; year arrived in current country.

    Survey variables:
    perception of public expenditure on health, education, unemployment benefits, defense, old-age pensions, business and industry, police and law enforcement, welfare benefits; perception of improving individual standard of living, state of economy, government's action on income inequality; respondent cast a ballot at the current and the previous election; vote choice (presidential, lower house and upper house elections) at the current and the previous election; respondent cast candidate preference vote at the current and the previous election; difference who is in power and who people vote for; sympathy scale for selected parties and political leaders; assessment of parties on the left-right-scale and/or an alternative scale; self-assessment on a left-right-scale and an optional scale; satisfaction with democracy; party identification; intensity of party identification, institutional and personal contact in the electoral campaigning, in person, by mail, phone, text message, email or social networks, institutional contact by whom; political information questions; expected development of household income in the next twelve month; ownership of residence, business or property or farm or livestock, stocks or bonds, savings; likelihood to find another job within the next twelve month; spouse likelihood to find another job within the next twelve month.

    DISTRICT-LEVEL DATA:
    number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district.

    MACRO-LEVEL DATA:
    election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; party of the president and the prime minister before and after the election; number of portfolios held by each party in cabinet, prior to and after the most recent election; size of the cabinet after the most recent election; number of parties participating in election; ideological families of parties; left-right position of parties assigned by experts and alternative dimensions; most salient factors in the election; fairness of the election; formal complaints against national level results; election irregularities reported; scheduled and held date of election; irregularities of election date; extent of election violence and post-election violence; geographic concentration of violence; post-election protest; electoral alliances permitted during the election campaign; existing electoral alliances; requirements for joint party lists; possibility of apparentement and types of apparentement agreements; multi-party endorsements on ballot; votes cast; voting procedure; voting rounds; party lists close, open, or flexible; transferable votes; cumulated votes if more than one can be cast; compulsory voting; party threshold; unit for the threshold; freedom house rating; democracy-autocracy polity IV rating; age of the current regime; regime: type of executive; number of months since last lower house and last presidential election; electoral formula for presidential elections; electoral formula in all electoral tiers (majoritarian, proportional or mixed); for lower and upper houses was coded: number of electoral segments; linked electoral segments; dependent formulae in mixed systems; subtypes of mixed electoral systems; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; fused vote; size of the lower house; GDP growth (annual percent); GDP per capita; inflation, GDP Deflator (annual percent); Human development index; total population; total unemployment; TI corruption perception index; international migrant stock and net migration rate; general government final consumption expenditure; public spending on education; health expenditure; military expenditure; central government debt; Gini index; internet users per 100 inhabitants; mobile phone subscriptions per 100 inhabitants; fixed telephone lines per 100 inhabitants; daily newspapers; constitutional federal structure; number of legislative chambers; electoral results data available; effective number of electoral and parliamentary parties.

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

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
MACROTRENDS (2025). U.S. National Unemployment Rate - 77 Years of Historical Data [Dataset]. https://www.macrotrends.net/1316/us-national-unemployment-rate

U.S. National Unemployment Rate - 77 Years of Historical Data

U.S. National Unemployment Rate - 77 Years of Historical Data

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
May 27, 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

Area covered
World, United States
Description

Long term historical dataset of the united states national unemployment rate back to 1948. Compares the level and annual rate of change.

Search
Clear search
Close search
Google apps
Main menu