GESIS - DBK - ZA7500

ZA7500: European Values Study 2017: Integrated Dataset (EVS 2017)

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List of Files


  • (Dataset) 9 MBytes
  • (Dataset) 11 MBytes
  • (Dataset) 184 KBytes
  • (Dataset) 28 KBytes


  • ZA7500_bq_CAPI.pdf (Questionnaire) 740 KBytes
  • ZA7500_bq_CAWI.pdf (Questionnaire) 1 MByte
  • ZA7500_q_al.pdf (Questionnaire) 1 MByte
  • ZA7500_q_am.pdf (Questionnaire) 687 KBytes
  • ZA7500_q_at.pdf (Questionnaire) 3 MBytes
  • ZA7500_q_az.pdf (Questionnaire) 2 MBytes
  • ZA7500_q_ba.pdf (Questionnaire) 4 MBytes
  • ZA7500_q_bg.pdf (Questionnaire) 707 KBytes
  • ZA7500_q_by.pdf (Questionnaire) 495 KBytes
  • (Questionnaire) 74 MBytes
  • ZA7500_q_cz.pdf (Questionnaire) 676 KBytes
  • (Questionnaire) 4 MBytes
  • (Questionnaire) 1 MByte
  • ZA7500_q_ee.pdf (Questionnaire) 2 MBytes
  • ZA7500_q_es.pdf (Questionnaire) 1 MByte
  • (Questionnaire) 22 MBytes
  • ZA7500_q_fr.pdf (Questionnaire) 1 MByte
  • ZA7500_q_gb.pdf (Questionnaire) 1 MByte
  • ZA7500_q_ge.pdf (Questionnaire) 2 MBytes
  • ZA7500_q_hr.pdf (Questionnaire) 1 MByte
  • ZA7500_q_hu.pdf (Questionnaire) 1 MByte
  • (Questionnaire) 11 MBytes
  • ZA7500_q_it.pdf (Questionnaire) 874 KBytes
  • ZA7500_q_lt.pdf (Questionnaire) 1 MByte
  • ZA7500_q_me.pdf (Questionnaire) 946 KBytes
  • ZA7500_q_mk.pdf (Questionnaire) 3 MBytes
  • (Questionnaire) 910 KBytes
  • ZA7500_q_no.pdf (Questionnaire) 1 MByte
  • ZA7500_q_pl.pdf (Questionnaire) 645 KBytes
  • ZA7500_q_pt.pdf (Questionnaire) 1 MByte
  • ZA7500_q_ro.pdf (Questionnaire) 2 MBytes
  • ZA7500_q_rs.pdf (Questionnaire) 541 KBytes
  • ZA7500_q_ru.pdf (Questionnaire) 583 KBytes
  • ZA7500_q_se.pdf (Questionnaire) 1 MByte
  • ZA7500_q_si.pdf (Questionnaire) 1 MByte
  • ZA7500_q_sk.pdf (Questionnaire) 1 MByte


  • ZA7500_cdb.pdf (Variable Report) 5 MBytes
  • ZA7500_cdb_App_A1_Religion.pdf (Variable Report) 920 KBytes
  • ZA7500_cdb_App_A2_Political_Parties.pdf (Variable Report) 1 MByte
  • ZA7500_cdb_App_A3_Education.pdf (Variable Report) 1 MByte
  • ZA7500_cdb_App_A4_Mapping_Education.pdf (Variable Report) 258 KBytes
  • ZA7500_cdb_App_B1_Income_Terciles.pdf (Variable Report) 536 KBytes
  • ZA7500_cdb_App_B_Income.pdf (Variable Report) 560 KBytes
  • ZA7500_cdb_App_C_NUTS.pdf (Variable Report) 202 KBytes
  • ZA7500_Guide_Mixed-Mode_Matrix.pdf (Variable Report) 3 MBytes
  • ZA7500_Guide_Weighting.pdf (Variable Report) 861 KBytes

Other Documents

  • ZA4804_EVS_ParticipatingCountries.pdf (Other Document) 119 KBytes
  • ZA7503_Method_Information.xlsx (Method Report) 91 KBytes
  • (Guidelines) 192 KBytes
  • ZA7500_mr.pdf (Method Report) 3 MBytes
  • (Method Report) 1 MByte
  • ZA7500_standards.pdf (Guidelines) 4 MBytes
  • ZA7500_standards_App_A_Official_Classifications.pdf (Guidelines) 2 MBytes
ZACAT online analysis and search in variable level documentation:
European Values Study 2017: Integrated Dataset (EVS 2017)
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Bibliographic Citation

Citation Citation EVS (2020): European Values Study 2017: Integrated Dataset (EVS 2017). GESIS Data Archive, Cologne. ZA7500 Data file Version 4.0.0,
Study No.ZA7500
TitleEuropean Values Study 2017: Integrated Dataset (EVS 2017)
Current Version4.0.0, 2020-10-20,
Date of Collection19.06.2017 - 23.11.2020
Principal Investigator/ Authoring Entity, Institution
  • Gedeshi, Ilir - Center for Economic and Social Studies (CESS), Tirana, Albania
  • Pachulia, Merab - SORGU, Baku, Azerbaijan
  • Poghosyan, Gevorg - Institute of Philosophy, Sociology and Law, Armenian National Academy of Sciences, Yerevan, Armenia
  • Rotman, David - The Center of Sociological and Political Research, Belarus State University, Minsk, Belarus
  • Kritzinger, Sylvia - Department of Government, University of Vienna, Vienna, Austria
  • Fotev, Georgy - Faculty for Social Wellbeing, New Bulgarian University, Sofia, Bulgaria
  • Kolenović-Đapo, Jadranka - Faculty of Philosophy, University of Sarajevo, Bosnia and Herzegovina
  • Baloban, Josip - Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia
  • Baloban, Stjepan - Catholic Faculty of Theology, University of Zagreb, Zagreb, Croatia (since September 2019)
  • Rabušic, Ladislav - Faculty of Social Studies, Masaryk University, Brno, Czech Republic
  • Frederiksen, Morten - Statistics Denmark, Copenhagen, Denmark
  • Saar, Erki - Saar Poll, Tallinn, Estonia
  • Ketola, Kimmo - Kirkon tutkimuskeskus, Tampere, Finland
  • Wolf, Christof - Department of Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany
  • Pachulia, Merab - GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia
  • Bréchon, Pierre - Institut d’études politiques de Grenoble, Grenoble, France
  • Voas, David - Department of Social Science, University College London, Great Britain
  • Rosta, Gergely - Department of Sociology, Pázmány Péter Catholic University, Budapest, Hungary
  • Jónsdóttir, Guðbjörg A. - Social Science Research Institute, University of Iceland, Reykjavik, Iceland
  • Rovati, Giancarlo - Department of Sociology, Catholic University of the Sacred Heart, Milan, Italy
  • Ziliukaite, Ruta - Department of Sociology, Vilnius University, Lithuania
  • Petkovska, Antoanela - Department of Sociology, Ss. Cyril and Methodius University, Skopje, North Macedonia
  • Komar, Olivera - De Facto Consultancy, Podgorica, Montenegro
  • Reeskens, Tim - Department of Sociology, Tilburg University, Tilburg, Netherlands
  • Jenssen, Anders T. - Department of Sociology and Political Science, Norwegian University of Science and Technology, Norway
  • Soboleva, Natalia - Laboratory for Comparative Social Research, Higher School of Economics, Moscow, Russia
  • Marody, Mirosława - Institute of Sociology, University of Warsaw, Warsaw, Poland
  • Voicu, Bogdan - Research institute for Quality of Life, Romanian Academy of Science, Bucharest, Romania
  • Strapcová, Katarina - Institute for Sociology, Slovak Academy of Sciences, Bratislava, Slovak Republic
  • Bešić, Miloš - Faculty of Political Sciences, University of Belgrade, Serbia
  • Uhan, Samo - Faculty of Social Sciences, Public Opinion and Mass Communication Research, University of Ljubljana, Ljubljana, Slovenia
  • Silvestre Cabrera, María - Faculty of Political Sciences and Sociology, Deusto University, Bilbao, Spain
  • Wallman-Lundåsen, Susanne - Department of Social Sciences, Mid Sweden University, Sundsvall, Sweden
  • Ernst Stähli, Michèle - FORS, Swiss Foundation for Research in Social Sciences, Université de Lausanne, Lausanne, Switzerland
  • Ramos, Alice - Instituto de Ciências Sociais, Universidade de Lisboa, Portugal
  • Balakireva, Olga - Institute Economy and Prognoses, National Academy of Ukraine, Department of Monitoring Research of the Social and Economic Process, Kiev, Ukraine


AbstractThe European Values Study is a large-scale, cross-national and longitudinal survey research program on how Europeans think about family, work, religion, politics, and society. Repeated every nine years in an increasing number of countries, the survey provides insights into the ideas, beliefs, preferences, attitudes, values, and opinions of citizens all over Europe. As previous waves conducted in 1981, 1990, 1999, 2008, the fifth EVS wave maintains a persistent focus on a broad range of values. Questions are highly comparable across waves and regions, making EVS suitable for research aimed at studying trends over time. The new wave has seen a strengthening of the methodological standards. The full release of the EVS 2017 includes data and documentation of altogether 37 participating countries. For more information, please go to the EVS website. Morale, religious, societal, political, work, and family values of Europeans. Topics: 1. Perceptions of life: importance of work, family, friends and acquaintances, leisure time, politics and religion; happiness; self-assessment of own health; memberships in voluntary organisations (religious or church organisations, cultural activities, trade unions, political parties or groups, environment, ecology, animal rights, professional associations, sports, recreation, or other groups, none); active or inactive membership of humanitarian or charitable organisation, consumer organisation, self-help group or mutual aid; voluntary work in the last six months; tolerance towards minorities (people of a different race, heavy drinkers, immigrants, foreign workers, drug addicts, homosexuals, Christians, Muslims, Jews, and gypsies - social distance); trust in people; estimation of people´s fair and helpful behavior; internal or external control; satisfaction with life; importance of educational goals: desirable qualities of children. 2. Work: attitude towards work (job needed to develop talents, receiving money without working is humiliating, people turn lazy not working, work is a duty towards society, work always comes first); importance of selected aspects of occupational work; give priority to nationals over foreigners as well as men over women in jobs. 3. Religion and morale: religious denomination; current and former religious denomination; current frequency of church attendance and at the age of 12; self-assessment of religiousness; belief in God, life after death, hell, heaven, and re-incarnation; personal god vs. spirit or life force; importance of God in one´s life (10-point-scale); frequency of prayers; morale attitudes (scale: claiming state benefits without entitlement, cheating on taxes, taking soft drugs, accepting a bribe, homosexuality, abortion, divorce, euthanasia, suicide, paying cash to avoid taxes, casual sex, avoiding fare on public transport, prostitution, in-vitro fertilization, political violence, death penalty). 4. Family: trust in family; most important criteria for a successful marriage or partnership (faithfulness, adequate income, good housing, sharing household chores, children, time for friends and personal hobbies); marriage is an outdated institution; attitude towards traditional understanding of one´s role of man and woman in occupation and family (gender roles); homosexual couples are as good parents as other couples; duty towards society to have children; responsibility of adult children for their parents when they are in need of long-term care; to make own parents proud is a main goal in life. 5. Politics and society: political interest; political participation; preference for individual freedom or social equality; self-assessment on a left-right continuum (10-point-scale) (left-right self-placement); individual vs. state responsibility for providing; take any job vs. right to refuse job when unemployed; competition good vs. harmful for people; equal incomes vs. incentives for individual effort; private vs. government ownership of business and industry; postmaterialism (scale); most important aims of the country for the next ten years; willingness to fight for the country; expectation of future development (less importance placed on work and greater respect for authority); trust in institutions; essential characteristics of democracy; importance of democracy for the respondent; rating democracy in own country; satisfaction with the political system in the country; preferred type of political system (strong leader, expert decisions, army should rule the country, or democracy); vote in elections on local level, national level and European level; political party with the most appeal; another political party that most appeals; assessment of country´s elections (votes are counted fairly, opposition candidates are prevented from running, TV news favors the governing party, voters are bribed, journalists provide fair coverage of elections, election officials are fair, rich people buy elections, voters are threatened with violence at the polls); opinion on the government´s right to keep people under video surveillance in public areas, monitor all e-mails and any other information exchanged on the Internet, collect information about anyone living in the country without their knowledge; interest in politics in the media; concerned about the living conditions of people in the neighborhood, the people in the region, fellow countrymen, Europeans, all humans all over the world, elderly people, unemployed people, immigrants, sick and disabled people; societal aims (eliminating income inequalities, basic needs for all, recognizing people on merits, protecting against terrorism). 6. National Identity: trust in people from various groups (neighborhood, personally known people, people meet for the first time, people of another religion, and people of another nationality); geographical group the respondent feels belonging to (town, region of country, country, Europe, the world); citizenship; national pride; evaluation of the impact of immigrants on the country´s development; attitude towards immigrants and their customs and traditions (take away jobs, increase crime problems, strain on country´s welfare system, should maintain their distinct customs and traditions or take over customs); important aspects of national identity (to have been born in the country, to respect country´s political institutions and laws, to have country´s ancestry, to speak the national language, to share national culture); important aspects of being European (to have been born in Europe, to have European ancestry, to be a Christian, to share European culture); attitude towards the enlargement of the European Union. 7. Environment: attitude towards the environment (scale: willingness to give part of own income for the environment, too difficult to do much about the environment, more important things in life than environment protection, own activities are useless unless others do the same for the environment, claims about environmental threats are exaggerated); protecting the environment vs. economic growth. Demography: sex; age (year of birth); born in the country of interview; country of birth; year of immigration into the country; current legal marital status; living together with the partner before marriage or before the registration of partnership; living together with a partner; steady relationship; living together with parents or parents in law; number of children in the household and outside the household; number of people in the household (household size); age of the youngest person in the household; age at completion of education; highest educational level (ISCED); employment status; employment or self-employment in the last job; name or title of main job or last main job; profession (ISCO-08, SIOPS-08, ISEI-08, ESEC-08, EGP-11); number of employees (company size); supervising function and number of supervised people; occupational sector (Government or public institution, private business or industry, or private non-profit organization); unemployment longer than three months; dependency on social security during the last five years; scale of household income (weekly, monthly, annual). Information on partner/spouse: born in the country of interview; country of birth; highest educational level (ISCED); employment status; employment or self-employment in the last job; name or title of main job or last main job; profession (ISCO-08, SIOPS-08, ISEI-08, ESEC-08, EGP-11); number of employees (company size); supervising function and number of supervised people. Information on respondent’s parents: father and mother born in the country; country of birth of father and mother; scale of household income; highest educational level of father and mother (ISCED); employment status of father and mother when the respondent was 14 years old; occupational group of the main wage earner at respondent’s age of 14; characterization of the parents when respondent was 14 years old (scale: liked to read books, discussed politics at home with their child, liked to follow the news, had problems making ends meet, had problems replacing broken things). Interviewer rating: respondent´s interest during the interview. Additionally encoded: respondent-ID; casenumber-ID; survey year; start and end of fieldwork (year and month); country code (ISO 3166); country abbreviation (ISO 3166); country and year of fieldwork (ISO 3166); mode of data collection; region (NUTS); city size (NUTS); date of the interview; time of the interview (start hour and start minute, end hour and end minute); language of interview; interviewer number; mixed mode and matrix design variables; duplication of cases after merging main and add-on datasets; Flag variable: inconsistencies; Flag variable: complete/incomplete case; household monthly net income (x1000), corrected for ppp in euros; weighting factors. Additional country specific variables are included in this national dataset.
Categories Categories
  • Work and Industry
  • Political Attitudes and Behavior
  • Society, Culture
  • Family
  • Person, Personality, Role
  • Religion and Weltanschauung
  • Natural Environment, Nature
  • Cultural and national identity
  • Religion and values
  • Family life and marriage
  • Political behaviour and attitudes
  • Gender and gender roles
  • Environment and conservation
Old Topics Old Topics
  • 1 Labour and employment
  • 5.5 Religion and values
  • 5.4 Cultural and national identity
  • 11.5 Mass political behaviour, attitudes/opinion
  • 13.3 Family life and marriage
  • 13.4 Gender and gender roles
  • 16.4 Environmental degradation/pollution and protection


Geographic Coverage
  • Albania (AL)
  • Armenia (AM)
  • Austria (AT)
  • Azerbaijan (AZ)
  • Belarus (BY)
  • Bosnia and Herzegovina (BA)
  • Bulgaria (BG)
  • Croatia (HR)
  • Czech Republic (CZ)
  • Denmark (DK)
  • Estonia (EE)
  • Finland (FI)
  • France (FR)
  • Georgia (GE)
  • Germany (DE)
  • Great Britain (GB-GBN)
  • Hungary (HU)
  • Iceland (IS)
  • Italy (IT)
  • Lithuania (LT)
  • Montenegro (ME)
  • Netherlands (NL)
  • North Macedonia (MK)
  • Norway (NO)
  • Poland (PL)
  • Romania (RO)
  • Russian Federation (RU)
  • Serbia (RS)
  • Slovakia (SK)
  • Slovenia (SI)
  • Sweden (SE)
  • Spain (ES)
  • Switzerland (CH)
  • Portugal (PT)
  • Ukraine (UA)
UniverseThe target population is defined as: individuals aged 18 or older (with no upper age limit) that have address of residence (not residential) in [country] within private households at the date of beginning of fieldwork (or in the date of the first visit to the household, in case of random-route selection). Research area: Albania (AL); Armenia (AM); Austria (AT); Azerbaijan (AZ); Belarus (BY); Bosnia and Herzegovina (BA); Bulgaria (BG); Croatia (HR); Czech Republic (CZ); Denmark (DK); Estonia (EE); Finland (FI); France (FR); Georgia (GE); Germany (DE); Great-Britain (GB-GBN); Hungary (HU); Iceland (IS); Italy (IT); Lithuania (LT); Montenegro (ME); Netherlands (NL); North Macedonia (MK); Norway (NO); Poland (PL); Portugal (PT); Romania (RO); Russian Federation (RU); Serbia (RS); Slovakia (SK); Slovenia (SI); Sweden (SE); Spain (ES); Switzerland (CH); Ukraine (UA).
Analysis Unit Analysis Unit
  • Individual
Sampling Procedure Sampling Procedure
  • Probability: Multistage
  • Probability: Simple random
The sampling procedures differ from country to country: Probability Sample: Multistage Sample Probability Sample: Simple Random Sample Representative single stage or multi-stage sampling of the adult population of the country 18 years old and older was used for the EVS 2017. Sample size was set as effective sample size: 1200 for countries with population over 2 million, 1000 for countries with population less than 2 million. 8 countries out of 16 deviated from the guidelines and planned with an effective sample size below the set threshold. Germany, Netherlands, Iceland and Switzerland, due to the mixed mode design, allocated only part (50% or more) of the effective sample size to the interviewer-administered mode. Sample design and other relevant information about sampling were reviewed by the EVS-Methodology Group (EVS-MG) and approved prior to contracting of fieldwork agency or starting of data collection. In case of on-field sampling EVS-MG proposed necessary protocols for documentation of the probabilities of selection of each respondent. The sampling was documented using the Sampling Design Form (SDF) delivered by the national teams (see the EVS2017 Methodological Guidelines, Sampling). The SDF includes the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it includes the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights.
Mode of Collection Mode of Collection
  • Face-to-face interview: Computer-assisted (CAPI/CAMI)
  • Face-to-face interview: Paper-and-pencil (PAPI)
  • Telephone interview: Computer-assisted (CATI)
  • Self-administered questionnaire: Web-based (CAWI)
  • Self-administered questionnaire: Paper
Mode of collection: mixed mode Face-to-face interview: CAPI (Computer Assisted Personal Interview) Face-to-face interview: PAPI (Paper and Pencil Interview) Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview) Self-administered questionnaire: Paper In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the first pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI). The EVS 2017 Master Questionnaire was provided in English and each national Programme Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).
Time Method Time Method
  • Cross-section
Kind of Data Kind of Data
  • Numeric
Data CollectorCenter for Economic and Social Studies (CESS), Tirana, Albania; InterRating CoLtd, Yerevan, Armenia; Institut für empirische Sozialforschung (IFES) GmbH, Vienna, Austria; Sorgu, Baku, Azerbaijan; Centre for Sociological and Political Research, Belarusian State University, Minsk, Belarus; Custom Concept d.o.o., Sarajevo, Bosnia and Herzegovina; Alpha Research LTD, Sofia, Bulgaria; Catholic University of Croatia, Zagreb, and GfK research Agency, Zagreb, Croatia; STEM/MARK, a.s., Praha, Czech Republic; Statistics Denmark - Survey, Copenhagen, Denmark; AS Emor,Tallinn, Estonia; Taloustutkimus Oy, Lemuntie 9, 00910 Helsinki, Finland; KANTAR PUBLIC - TAYLOR NELSON SOFRES, Paris, France; GORBI (Georgian Opinion Research Business International), Tbilisi, Georgia; Kantar Deutschland GmbH, Kantar Public, München, Germany; NatCen Social Research, London, Great Britain; Forsense, Budapest, Hungary; Social Science Research Institute, SSRI, University of Iceland, Reykjavik, Iceland; Doxa Spa, Milano, Italy; Baltic Surveys, Vilnius, Lithuania; DeFacto Consultancy, Podgorica, Montenegro; I&O Research B.V., Enschede, Netherlands and CentERdata, Tilburg, Netherlands; Faculty of Philosophy, Skopje, North Macedonia; Statistics Norway, Oslo, Norway; Centrum Badania Opinii Społecznej (Public Opinion Research Centre), Warszawa, Poland; IRES: Institutul Roman pentru Evaluare si Strategie, Romania; CESSI (Institute for comparative Social Research), Moscow, Russia; Nina media, Novi Sad, Serbia; Kantar TNS, Bratislava, Slovakia; University of Ljubljana, Faculty of Social Science, Ljubljana, Slovenia; MyWord Research SL, Madrid, Spain; IPSOS Observer Sweden AB, Härnösand, Sweden; M.I.S Trend S.A; Lausanne, Switzerland (Face-to-face) and Swiss Centre for Expertise in the Social Sciences FORS c/o University of Lausanne, Lausanne, Switzerland (Web-mail); GfK-Metris, Lisbon, Portugal; Social monitoring center, Kiev, Ukraine
Date of Collection
  • 24.02.2018 - 24.06.2018 (Albania)
  • 20.02.2018 - 30.04.2018 (Armenia)
  • 08.01.2018 - 14.05.2018 (Austria)
  • 10.11.2018 - 23.12.2018 (Azerbaijan)
  • 01.02.2018 - 05.03.2018 (Belarus)
  • 03.02.2019 - 14.06.2019 (Bosnia and Herzegovina)
  • 11.11.2017 - 01.09.2018 (Bulgaria)
  • 25.10.2017 - 16.02.2018 (Croatia)
  • 17.09.2017 - 01.12.2017 (Czech Republic)
  • 27.09.2017 - 31.01.2018 (Denmark)
  • 17.05.2018 - 12.09.2018 (Estonia)
  • 24.11.2017 - 10.07.2018 (Finland)
  • 02.03.2018 - 16.08.2018 (France)
  • 11.01.2018 - 18.03.2018 (Georgia)
  • 23.10.2017 - 28.11.2018 (Germany)
  • 12.02.2018 - 16.07.2018 (Great Britain)
  • 24.02.2018 - 21.08.2018 (Hungary)
  • 19.06.2017 - 04.04.2018 (Iceland)
  • 24.09.2018 - 30.01.2019 (Italy)
  • 08.12.2017 - 12.02.2018 (Lithuania)
  • 07.2019 - 12.2019 (Montenegro)
  • 31.08.2017 - 28.02.2018 (Netherlands)
  • 22.08.2018 - 17.12.2018 (Norway)
  • 10.12.2018 - 28.03.2019 (North Macedonia)
  • 17.11.2017 - 08.02.2018 (Poland)
  • 03.02.2018 - 05.05.2018 (Romania)
  • 07.11.2017 - 25.12.2017 (Russia)
  • 10.11.2018 - 21.12.2018 (Serbia)
  • 26.09.2017 - 03.12.2017 (Slovak Republic)
  • 30.09.2017 - 23.12.2017 (Slovenia)
  • 28.11.2017 - 22.01.2018 (Spain)
  • 27.09.2017 - 06.06.2018 (Sweden)
  • 11.09.2017 - 22.02.2018 (Switzerland)
  • 11.01.2020 - 01.03.2020 (Portugal)
  • 02.11.2020 - 23.11.2020 (Ukraine)

Errata & Versions

VersionDate, Name, DOI
4.0.0 (current version)2020-10-20 Full Release
3.0.02020-5-27 Third pre-release
2.0.02019-7-15 Second pre-release
1.0.02018-12-18 First pre-release
Errata in current version
2020-11-25gweight, gweight_no_eduGermany: The Calibration weights were erroneously set as 1 for all cases of the German sample. The patches ´´ and ´´ provide the Calibration weights for Germany. They are available for download after registration (Materials/Datasets). They contain the data and a merge syntax in SPSS and stata. Apply the syntax to add the weights for the Germam sample into the EVS 2017 data.
Version changes
Changes between version 4.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2020-10-20Date and time variables2020-10-20Date and time variables have been set to numeric formats. v277, mm_v277_fu: YYYYMMDD; v278c_r, v279c_r: hh,mm.
2020-10-20fw_startLithuania: Start of fieldwork coded erroneously as 201711.2020-10-20fw_start for Lithuania recoded into 201712.
2020-10-20v174_cs, v175_csSweden: Code 75205 erroneously labelled as ´People´s Party´ while it should be ´Liberals´.2020-10-20Label correction: 75205 ´Liberals´.
Changes between version 3.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
Due to the implementation of the mixed-mode and matrix design strategy in EVS 2017 adopted by some, two EVS datasets were composed from Version v2.0.0 to v3.0.0: the EVS Integrated dataset, and the EVS Integrated dataset – Matrix Design.
The new Integrated Dataset (ZA7500) contains data from all the respondents from the interviewer-administered mode CAPI, PAPI and CATI, and the full cases from the self-administered CAWI and MAIL mixed-mode and matrix design mode (55,256 respondents, 33 countries). The use of this dataset is recommended for substantive research involving EVS data. The Matrix dataset (ZA7502) includes data from 10,598 respondents and the four countries (DE IS CH NL) that used the matrix design. Due to its experimental nature, the use of this dataset is mostly recommended for methodological research.
Beware! It is recommended to pay attention to the mode structure using EVS 2017 data, especially when comparing values across countries and/or across waves. Our preliminary checks did not show large differences in measurement between the different design elements. Still, we recommend testing several scenarios to verify that the results are stable and/or to use the appropriate ‘mm_*’ variable(s) as control variables in multivariate models.
2019-9-17v197Azerbaijan, Georgia: v197 contains erroneously data of v196, so that the variables perfectly correlates in both countries. Correct data is available, please contact evsservice@gesis.org2020-5-27Correct data has been merged.
2019-11-28v241Finland CAPI: All respondents were wrongly recoded to -3 "not applicable", regardless of the number of persons living in the household reported. Switzerland CAWI/Mail: Respondents living alone (v240=1; n=552) have valid data, although they have been filtered out according to the filter instruction in the questionnaire; they should be coded as -3 ´not applicable´. The provided data are not respondents´ responses; they were accidentally generated during data preparation. 2020-5-27Finland CAPI: Data recoded according the filter instruction: only respondents living alone are coded -3 ´nap´; for all other respondents reported age of youngest person in HH in now coded. Switzerland: False data for respondents living alone have been recoded to -3 ´NAP´, according to filter instruction.
2019-11-28g_weightVariable gweight_new ‘Truncated calibration weights’ was generated to correct for negative weight values. See The patch consists of a data file containing the new truncated calibration weights variables and a syntax file to support the merging of the data files. This is a temporary solution! New weighting variables will be delivered in the final data release scheduled for the end of April 2020. For more detailed information, see Appendix E: Weighting (Variable Report).2020-5-27New weighting variables are delivered in the 3rd data pre-release: gweight, gweight_no_edu. For more detailed information, see Appendix E: Weighting (Variable Report).
2020-5-27v234Italy: The category registered partnership was translated as "Unito/a civilmente", which was misunderstood by the respondents (in the sense of civil and not religiously married). This translation seems to have led to an overrepresentation of persons with this marital status: While according to the latest data of the Italian Statistical Institute only 0.02% of Italians live in a "registered partnership", .2% of the Italian sample (n=50) stated that they had this marital status. Note: the registered partnership was only introduced in 2016.2020-5-27Following the proposal of the primary researcher, all cases coded in category 2 ´registered partnership´ have been recoded into 1 ´married´ in the current data file and a note has been added in the Variable Report.
2020-5-27v174_cs, v175_csItaly: Due to an error in data processing, cases originally coded as 66 ´No (other) political party appeals to me´ have been erroneously coded as -5 ´other missing´ (n=576 in v174_cs; n=555 in v175_cs). 2020-5-27Consistent with the coding of this answer category in all other countries (ISO-country code+66), the cases for Italy have been recoded to 38066 ´No (other) political party appeals to me´.
Changes between version 2.0.0 and it's previous version
DateSubjectDescriptionCorrection Description
2018-12-20data setSpain: One duplicate case found - two cases from the same interviewer are coded completely identical in all variables, but the date, time and language of interview.2019-7-15The case with the less information content has been deleted from the spanish dataset.
2018-12-20v174_lr, v175_lrIceland: Country specific category 16 ´Center Party´ (v174_cs, v275_cs) has been erroneuosly recoded to -5 ´other missing´ instead of point 6 in the LR-scale. 2019-7-15Recode islandic country-specific category 16 ´Center Party´ into point 6 in the LR-scale variables, v174_lr and v175_lr.

Further Remarks

Number of Units: 56491
Number of Variables: 466
Analysis System(s): SPSS, Stata


  • The EVS Bibliography lists all kinds of publications using EVS data, based on national and cross-national analysis. The bibliography is an easy way to find relevant publications in the field of value studies. Moreover, some enhanced publications with information on the datasets, variables, and syntax codes of the concepts used are available. The EVS Bibliography can be found here [].
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  •  European Values Study (EVS)
    The European Values Study 1981-2017 is a large-scale, cross-national and longitudinal survey research program carried out under the responsibility of the European Values Study Foundation. The five EVS waves 1981, 1990, 2008, and 2017 cover a broad range of topics including the main domains of life: work and leisure time, family and sexuality, religion, politics and ethics. The EVS holding includes integrated datasets on every EVS wave and additionally for the waves 1999 and 2008 the national datasets. The current EVS Longitudinal Data File 1981-2017 is based on the four waves and can be easily merged with the World Values Survey (1981-2021) to an Integrated Values Surveys 1981-2021 Data File.