8 datasets found
  1. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 1, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Aug 1, 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 - Jul 31, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States increased to 4.20 percent in July from 4.10 percent in June 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.

  2. T

    United States Labor Force Participation Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Labor Force Participation Rate [Dataset]. https://tradingeconomics.com/united-states/labor-force-participation-rate
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    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
    Jan 31, 1948 - Jul 31, 2025
    Area covered
    United States
    Description

    Labor Force Participation Rate in the United States decreased to 62.20 percent in July from 62.30 percent in June 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. T

    South Africa Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 13, 2025
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    TRADING ECONOMICS (2025). South Africa Unemployment Rate [Dataset]. https://tradingeconomics.com/south-africa/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Sep 30, 2000 - Jun 30, 2025
    Area covered
    South Africa
    Description

    Unemployment Rate in South Africa increased to 33.20 percent in the second quarter of 2025 from 32.90 percent in the first quarter of 2025. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. H

    Data from: Diversionary Cheap Talk: Economic Conditions and US Foreign...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Dec 18, 2019
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    Erin Baggott Carter (2019). Diversionary Cheap Talk: Economic Conditions and US Foreign Policy Rhetoric, 1945-2010 [Dataset]. http://doi.org/10.7910/DVN/8XUKIH
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 18, 2019
    Dataset provided by
    Harvard Dataverse
    Authors
    Erin Baggott Carter
    License

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

    Area covered
    United States
    Description

    This study explains how the economy affects the foreign policy rhetoric used by American presidents. When economic conditions deteriorate, presidents criticize foreign nations to boost their approval ratings. Presidents use this "diversionary cheap talk" in response to the misery index of unemployment plus inflation, which poses a unique threat to their popularity. They target historical rivals, which make intergroup distinctions most salient. Diversionary cheap talk is most influential for and most frequently used by Democratic presidents, whose non-core constituents prefer hawkish foreign policy but already expect it from Republican presidents. I test the observable implications of the theory with the American Diplomacy Dataset, an original record of 50,000 American foreign policy events between 1851 and 2010 drawn from a corpus of 1.3 million New York Times articles.

  5. e

    Romanian Parliament (Population) 1993 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Feb 1, 2001
    + more versions
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    (2001). Romanian Parliament (Population) 1993 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/2f674bcb-f690-51c8-9c06-7e6abedfbe6a
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    Dataset updated
    Feb 1, 2001
    Area covered
    Romania
    Description

    election behavior. Topics: Current and future standard of living; current and future economic situation of the country; speed and necessity of reforms; main problems of the country (high costs of living, low work standards, lack of technology, poor economic management, control by foreign financial institutes, privatization, social security, low income, unemployment, housing problems); impact of the reforms on the locality; region which benefits most from the reforms; preferred differences in income, wealth and taxes; financially situation in comparison to others; employment and social security provided by the government; role of government in the economy; distribution of tax incomes between central and local government; government policy against inflation; privatization of different economic sectors; preferred tax source; government support for the industrial modernization, housing, environmental protection, consumer goods, agriculture, education and social security; benefit from economic reforms in different social groups; confidence in institutions; preferred form of government; confidence in political parties; preferred candidate for President; participation in last election; meaning of democracy (scale); strong leader vs. influential Parliament; change in work habits, respect for law, outlook for the future, ethnic conflicts, satisfaction with life; future of the Republic of Moldova and Transdniestria; comparison of Moldova and Romania regarding to economy, democracy, stability, respect for human rights, minority rights, general level of life and reforms; violence between people and responsibility therefore; membership of a political party or movement; important tasks of the government; feelings towards peasants, workers, political leaders, intellectuals, state officials, managers, businessmen; identification with the national state; minorities in Romania; opinion about the rights of minorities; situation of minorities; the most political and economic influential group; feelings towards Hungarians, Jews, Tatars, Gypsies, Bulgarian, Turkish, Ukrainian and Germans; spoken language; language of the father and mother; language spoken in the family; language at school; relation between Romanian and Moldavian; learning the language of the minority; nationality; cultural background; membership or supporter of a national association; nationality of one´s neighbors; interaction with neighbors and spoken language; colleagues and friends of another nationality; mixed marriages; household structure; possession of house holds appliances, car and own house; second job; father´s job and education; spouse´s job and nationality; location of birth; parents domicile; monthly family income; land ownership; religion, frequency of attendance of religious service; region. Fragen zum politischen System, Nationalitätenproblem und Wahlverhalten. Themen: Gegenwärtiger und erwarteter Lebensstandard; gegenwärtige und zukünftige ökonomische Situation des Landes; Notwendigkeit und Tempo von Reformen; Hauptprobleme des Landes (hohe Lebenshaltungskosten, niedriges Arbeitsniveau; fehlende Technologie, schlechtes ökonomisches Management; Kontrolle durch ausländische Finanzunternehmen, Privatisierung soziale Sicherheit, geringe Einkommen, Arbeitslosigkeit und Wohnungssituation); Einfluß der Reformen auf Regionen; Gebiete, die von den Reformen am meisten profitieren; akzeptierte Einkommens-, Steuern- und Reichtumsunterschiede; eigene finanzielle Situation in Vergleich zu der anderer; Regierung verantwortlich für Beschäftigung und soziale Sicherheit; Rolle der Regierung in der Wirtschaft; Verteilung der Steuereinnahmen auf Kommunal- und Zentralregierung; Regierungspolitik zur Bekämpfung der Inflation; Privatisierung einzelner Wirtschaftszweige; bevorzugte Steuerquelle; staatliche Förderung für Modernisierung der Industrie, Wohnungsbau, Umweltschutz, Konsumgüter, Landwirtschaft, Bildung und soziale Sicherheit; Nutznießer der Reformen; Vertrauen in Institutionen und politische Parteien; bevorzugte Regierungsform; Wahlbeteiligung; bevorzugter Präsidentschaftskandidat; Verständnis von Demokratie (Skala); starker Führer versus einflußreiches Parlament; Veränderungen hinsichtlich der Arbeitseinstellungen, Gesetzestreue, zukünftige Erwartungen, ethnischen Konflikten und Lebenszufriedenheit; Zukunft der Republik Moldawien und Transdniestria; Vergleich von Rumänien und Moldawien hinsichtlich Wirtschaft, Demokratie, Stabilität, allgemeine Menschenrechte, Rechte von Minderheiten, allgemeines Lebensniveau und Reformen; Gewalttätigkeiten zwischen den Menschen und Verantwortung dafür; Mitgliedschaft in einer politischen Partei oder Bewegung; wichtigste Aufgaben der Regierung; Gefühle gegenüber Bauern, Arbeitern, politischen Führern, Intellektuellen, Beamten, Managern und Geschäftsleuten; Identifikation mit dem Nationalstaat; Minderheiten in Rumänien; Rechte von Minderheiten; Situation der Minderheiten; die politisch und ökonomisch einflußreichsten Gruppen; Gefühle gegenüber Ungarn, Juden, Tataren, Zigeunern, Türken, Ukrainern und Deutschen; eigene Sprache und die der Eltern; in der Familie gesprochene Sprache; Sprache in den Schulen; Beziehung zwischen Rumänen und Moldaviern; die Sprache der Minderheiten lernen; Nationalität; kultureller Hintergrund; Mitgliedschaft oder Unterstützer einer nationalen Vereinigung; Nationalität der Nachbarn; gemeinsame Aktivitäten und gesprochene Sprache; Kollegen und Freunde anderer Nationalität; gemischte Ehen; Haushaltsstruktur; Besitz von Haushaltsgeräten, Auto und Eigenheim; Nebentätigkeit; Bildung und Tätigkeit des Vaters; Tätigkeit und Nationalität des Ehepartners; Geburtsort; Wohnort der Eltern; monatliches Familieneinkommen; Landbesitz; Religion; Kirchgangshäufigkeit; Region.

  6. p

    CSES Module 4 Fourth Advance Release

    • pollux-fid.de
    Updated 2017
    + more versions
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    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
    Brazil: IBOPE Inteligência, São Paulo
    Hong Kong: Public Governance Programme, Hong Kong
    Switzerland: DemoSCOPE Research & Marketing, Adligenswil
    Greece: Artistotle University of Thessaloniki Laboratory of Applied Political Research, To The Point Research Consulting Communication S.A., Thessaloniki
    Australia: Survey Research Centre Pty Ltd, Melbourne
    Japan: Nippon Research Center (Member of Gallup International Association), Tokyo
    Romania: KANTAR TNS (CSOP), Bucharest
    Germany: MARPLAN Media- und Sozialforschungsgesellschaft mbH, Frankfurt am Main
    Iceland: Social Science Research Institute of the University of Iceland, Reykjavík
    Montenegro: De Facto Consultancy, Podgorica
    Great Britain: GfK UK Ltd, London
    United States: Abt SRBI, New York
    Bulgaria: TNS BBSS SEE, Sofia
    Portugal: GfK Portugal – Metris, Lisbon
    Mexico: CAMPO, S. C., Puebla
    New Zealand: Centre for Methods and Policy Applications in the Social Sciences (COMPASS), University of Auckland, Auckland
    Finland: TNS Gallup Oy, Espoo
    Slovakia: TNS Slovakia s.r.o., Bratislava
    Ireland: RED C Research & Marketing Ltd, Dublin
    France: TNS-Sofres, Montrouge
    Israel: The B.I. and Lucille Cohen institute for Public Opinion Research, Tel Aviv
    Czech Republic: CVVM (Center for public opinion research) at the Institute of Sociology, Czech Academy of Sciences, Prague
    Thailand: King Prajadhipok's Institute, Bangkok
    Poland: Public Opinion Research Center (Centrum Badania Opinii Społecznej,CBOS), Warsaw
    Canada: Institute for Social Research (Canada outside Quebec), Toronto & Jolicoeur & Associés (Quebec), Montreal
    Turkey: Frekans Araştırma, Istanbul
    Slovenia: CJMMK (Public Opinion and Mass Communication Research Centre), Ljubljana
    Austria: Jaksch & Partner, Linz
    Serbia: Ipsos Strategic Marketing, Belgrad
    Kenya: Institute for Development Studies University of Nairobi, Nairobi
    Sweden: Statistics Sweden, SCB, Örebro
    Taiwan: Department of Political Science, National Taiwan University, Taipei
    Philippines: Social Weather Stations, Quezon City
    South Africa: Citizen Surveys, Woodstock
    South Korea: Korean Social Science Data Center, Seoul
    Norway: Statistics Norway, Oslo
    The Comparative Study of Electoral Systems
    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.

  7. p

    CSES Module 4 Third Advance Release

    • pollux-fid.de
    Updated 2016
    + more versions
    Share
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    Rachel Gibson; Clive Bean; Juliet Pietsch; Ian McAllister; Wolfgang C. Müller; Sylvia Kritzinger; Nicolas Sauger; Klaus Schönbach; Christof Wolf; Sigrid Roßteutscher; Bernhard Wessels; Hans Rattinger; Rüdiger Schmitt-Beck; Theodore Chadjipadelis; Ioannis Andreadis; Michael Marsh; Eva H. Onnudottir; Olafur P. Hardarson; Satoko Yasuno; Yukio Maeda; Masahiro Yamada; Tetsuro Kobayashi; Kazunori Inamasu; Ken'ichi Ikeda; Naoko Taniguchi; Ulises Beltrán; Rosario Aguilar; Pavle Gegaj; Olivera Komar; Milo Bešic; Jack Vowles; Radosław Markowski; Michal Kotnarowski; Paweł Grzelak; Mikołaj Cześnik; Bojan Todosijevic; Zoran Pavlovic; Dave A. Howell; Altin Ilirjani; Georg Lutz; Chi Huang; Thawilwadee Bureekul; Robert B. Albitton; Ratchawadee Sangmahamad; Darrell Donakowski; Vincent Hutchings; Simon Jackman; Gary M. Segura; Rachel Meneguello; Alina Dobreva; Patrick Fournier; Fred Cutler; Stuart Soroka; Dietlind Stolle; Lukas Linek; Michal Shamir; Bernt Aardal; Johannes Bergh; Pedro Magalhaes; Marina Costa Lobo; Joao Tiago Gaspar; Janez Stebe; Nam Young Lee; Wook Kim; Henrik Oscarsson; Ali Carkoglu; S. Erden Aytac (2016). CSES Module 4 Third Advance Release [Dataset]. http://doi.org/10.7804/cses.module4.2016-06-22
    Explore at:
    Dataset updated
    2016
    Dataset provided by
    Brazil: IBOPE Inteligência, São Paulo
    Switzerland: DemoSCOPE Research & Marketing, Adligenswil
    Greece: Artistotle University of Thessaloniki Laboratory of Applied Political Research, To The Point Research Consulting Communication S.A., Thessaloniki
    Australia: Survey Research Centre Pty Ltd, Melbourne
    Japan: Nippon Research Center (Member of Gallup International Association), Tokyo
    Germany: MARPLAN Media- und Sozialforschungsgesellschaft mbH, Frankfurt am Main
    Iceland: Social Science Research Institute of the University of Iceland, Reykjavík
    Montenegro: De Facto Consultancy, Podgorica
    United States: Abt SRBI, New York
    Bulgaria: TNS BBSS SEE, Sofia
    Portugal: GfK Portugal – Metris, Lisbon
    Mexico: CAMPO, S. C., Puebla
    New Zealand: Centre for Methods and Policy Applications in the Social Sciences (COMPASS), University of Auckland, Auckland
    Ireland: RED C Research & Marketing Ltd, Dublin
    France: TNS-Sofres, Montrouge
    Israel: The B.I. and Lucille Cohen institute for Public Opinion Research, Tel Aviv
    Czech Republic: CVVM (Center for public opinion research) at the Institute of Sociology, Czech Academy of Sciences, Prague
    Thailand: King Prajadhipok's Institute, Bangkok
    Poland: Public Opinion Research Center (Centrum Badania Opinii Społecznej,CBOS), Warsaw
    Canada: Institute for Social Research (Canada outside Quebec), Toronto & Jolicoeur & Associés (Quebec), Montreal
    Turkey: Frekans Araştırma, Istanbul
    Slovenia: CJMMK (Public Opinion and Mass Communication Research Centre), Ljubljana
    Austria: Jaksch & Partner, Linz
    Serbia: Ipsos Strategic Marketing, Belgrad
    Sweden: Statistics Sweden, SCB, Örebro
    Taiwan: Department of Political Science, National Taiwan University, Taipei
    Poland: Public Opinion Research Center (Centrum Badania Opinii Społecznej, CBOS), Warsaw
    South Korea: Korean Social Science Data Center, Seoul
    Norway: Statistics Norway, Oslo
    The Comparative Study of Electoral Systems
    Authors
    Rachel Gibson; Clive Bean; Juliet Pietsch; Ian McAllister; Wolfgang C. Müller; Sylvia Kritzinger; Nicolas Sauger; Klaus Schönbach; Christof Wolf; Sigrid Roßteutscher; Bernhard Wessels; Hans Rattinger; Rüdiger Schmitt-Beck; Theodore Chadjipadelis; Ioannis Andreadis; Michael Marsh; Eva H. Onnudottir; Olafur P. Hardarson; Satoko Yasuno; Yukio Maeda; Masahiro Yamada; Tetsuro Kobayashi; Kazunori Inamasu; Ken'ichi Ikeda; Naoko Taniguchi; Ulises Beltrán; Rosario Aguilar; Pavle Gegaj; Olivera Komar; Milo Bešic; Jack Vowles; Radosław Markowski; Michal Kotnarowski; Paweł Grzelak; Mikołaj Cześnik; Bojan Todosijevic; Zoran Pavlovic; Dave A. Howell; Altin Ilirjani; Georg Lutz; Chi Huang; Thawilwadee Bureekul; Robert B. Albitton; Ratchawadee Sangmahamad; Darrell Donakowski; Vincent Hutchings; Simon Jackman; Gary M. Segura; Rachel Meneguello; Alina Dobreva; Patrick Fournier; Fred Cutler; Stuart Soroka; Dietlind Stolle; Lukas Linek; Michal Shamir; Bernt Aardal; Johannes Bergh; Pedro Magalhaes; Marina Costa Lobo; Joao Tiago Gaspar; Janez Stebe; Nam Young Lee; Wook Kim; Henrik Oscarsson; Ali Carkoglu; S. Erden Aytac
    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.

  8. p

    CSES Module 4 Full Release

    • pollux-fid.de
    • search.gesis.org
    Updated 2018
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    Noam Lupu; Virginia Oliveros; Luis Schiumerini; Juliet Pietsch; Ian McAllister; 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; Eftichia Teperoglou; Ioannis Andreadis; Li Pang-kwong; Olafur P. Hardarson; Eva H. Onnudottir; Hulda Porisdottir; Michael Marsh; Michal Shamir; Orit Kedar; Ken'ichi Ikeda; Masahiro Yamada; Yukio Maeda; Robert Mattes; Winnie Mitullah; Abel Oyuke; Janis Ikstens; Ulises Beltrán; Rosario Aguilar; Olivera Komar; Pavle Gegaj; Milo Bešic; Jack Vowles; Hilde Coffe; Bernt Aardal; Gerard Cotterell; Jennifer Curtin; Johannes Bergh; Linda Luz Guerrero; David Sulmont; Vania Martinez; Vladymir Joseph Licudine; Radosław Markowski; Mikołaj Cześnik; Paweł Grzelak; Michal Kotnarowski; Pedro Magalhaes; Marina Costa Lobo; Joao Tiago Gaspar; Mircea Comsa; Florin N. Fesnic; Andrei Gheorghita; Gabriel Badescu; Claudiu D. Tufis; Cristina Stanus; Bogdan Voicu; Camil Postelnicu; Bojan Todosijevic; Zoran Pavlovic; Olga Gyarfasova; Miloslav Bahna; Janez Stebe; Robert Mattes; 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 (2018). CSES Module 4 Full Release [Dataset]. http://doi.org/10.7804/cses.module4.2018-05-29
    Explore at:
    Dataset updated
    2018
    Dataset provided by
    Brazil: IBOPE Inteligência, São Paulo
    Hong Kong: Public Governance Programme, Hong Kong
    Peru: Instituto de Opinión Pública de la Pontificia Universidad Católica del Perú, Lima
    Switzerland: DemoSCOPE Research & Marketing, Adligenswil
    Greece: Artistotle University of Thessaloniki Laboratory of Applied Political Research, To The Point Research Consulting Communication S.A., Thessaloniki
    Australia: Survey Research Centre Pty Ltd, Melbourne
    Japan: Nippon Research Center (Member of Gallup International Association), Tokyo
    Romania: KANTAR TNS (CSOP), Bucharest
    Germany: MARPLAN Media- und Sozialforschungsgesellschaft mbH, Frankfurt am Main
    Iceland: Social Science Research Institute of the University of Iceland, Reykjavík
    Montenegro: De Facto Consultancy, Podgorica
    Great Britain: GfK UK Ltd, London
    United States: Abt SRBI, New York
    Bulgaria: TNS BBSS SEE, Sofia
    Portugal: GfK Portugal – Metris, Lisbon
    Mexico: CAMPO, S. C., Puebla
    New Zealand: Centre for Methods and Policy Applications in the Social Sciences (COMPASS), University of Auckland, Auckland
    Finland: TNS Gallup Oy, Espoo
    Slovakia: TNS Slovakia s.r.o., Bratislava
    Ireland: RED C Research & Marketing Ltd, Dublin
    France: TNS-Sofres, Montrouge
    Israel: The B.I. and Lucille Cohen institute for Public Opinion Research, Tel Aviv
    Czech Republic: CVVM (Center for public opinion research) at the Institute of Sociology, Czech Academy of Sciences, Prague
    Thailand: King Prajadhipok's Institute, Bangkok
    Poland: Public Opinion Research Center (Centrum Badania Opinii Społecznej,CBOS), Warsaw
    Canada: Institute for Social Research (Canada outside Quebec), Toronto & Jolicoeur & Associés (Quebec), Montreal
    Turkey: Frekans Araştırma, Istanbul
    Argentina: MBC Mori, Buenos Aires
    Slovenia: CJMMK (Public Opinion and Mass Communication Research Centre), Ljubljana
    Austria: Jaksch & Partner, Linz
    Serbia: Ipsos Strategic Marketing, Belgrad
    Kenya: Institute for Development Studies University of Nairobi, Nairobi
    Sweden: Statistics Sweden, SCB, Örebro
    Taiwan: Department of Political Science, National Taiwan University, Taipei
    Philippines: Social Weather Stations, Quezon City
    South Africa: Citizen Surveys, Woodstock
    South Korea: Korean Social Science Data Center, Seoul
    Latvia: TNS Latvia, Riga
    Norway: Statistics Norway, Oslo
    The Comparative Study of Electoral Systems
    Authors
    Noam Lupu; Virginia Oliveros; Luis Schiumerini; Juliet Pietsch; Ian McAllister; 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; Eftichia Teperoglou; Ioannis Andreadis; Li Pang-kwong; Olafur P. Hardarson; Eva H. Onnudottir; Hulda Porisdottir; Michael Marsh; Michal Shamir; Orit Kedar; Ken'ichi Ikeda; Masahiro Yamada; Yukio Maeda; Robert Mattes; Winnie Mitullah; Abel Oyuke; Janis Ikstens; Ulises Beltrán; Rosario Aguilar; Olivera Komar; Pavle Gegaj; Milo Bešic; Jack Vowles; Hilde Coffe; Bernt Aardal; Gerard Cotterell; Jennifer Curtin; Johannes Bergh; Linda Luz Guerrero; David Sulmont; Vania Martinez; Vladymir Joseph Licudine; Radosław Markowski; Mikołaj Cześnik; Paweł Grzelak; Michal Kotnarowski; Pedro Magalhaes; Marina Costa Lobo; Joao Tiago Gaspar; Mircea Comsa; Florin N. Fesnic; Andrei Gheorghita; Gabriel Badescu; Claudiu D. Tufis; Cristina Stanus; Bogdan Voicu; Camil Postelnicu; Bojan Todosijevic; Zoran Pavlovic; Olga Gyarfasova; Miloslav Bahna; Janez Stebe; Robert Mattes; 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 Table
    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.

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TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate

United States Unemployment Rate

United States Unemployment Rate - Historical Dataset (1948-01-31/2025-07-31)

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120 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, csv, jsonAvailable download formats
Dataset updated
Aug 1, 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 - Jul 31, 2025
Area covered
United States
Description

Unemployment Rate in the United States increased to 4.20 percent in July from 4.10 percent in June 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.

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