European Social Survey in a nutshell
The European Social Survey (ESS) is a biennial, cross-national survey conducted in approximately 30 European countries since 2002. In each participating country, a minimum of 1,500 respondents are surveyed. The respondents are drawn from a probabilistic sample representing the countries’ population aged 15 and above. Switzerland has participated in every round of the ESS since its inception.

The ESS is designed to measure the values, attitudes, and behavioral patterns of the populations across Europe. To ensure the collection of high-quality, internationally comparable data, the survey follows precise and rigorous methodological guidelines. The scientific quality of the ESS was recognized in 2005 when the project received the prestigious Descartes Prize.

The survey’s questionnaire is divided into two parts. The first part, known as the “core module,” covers a range of socio-political, socio-economic, and socio-psychological questions, along with information about the respondents’ socio-demographic characteristics. This core module remains consistent across survey rounds. The second part features two or more periodically repeated modules that focus on specific topics of particular academic or political interest. These rotating modules offer deeper insights into selected issues. Additionally, a supplementary section includes the Schwartz Human Values Scale and a selection of experimental tests.

The main objectives of the ESS:

  • Generate a continuous series of valuable data for comparisons over time and across countries that monitor the evolution of values, attitudes and behavioral patterns in the European societies;
  • Establish and transmit higher standards in the comparative international social sciences (e.g. questionnaire design and pre-testing, sampling strategies, translation procedures, data collection and processing);
  • Increase the visibility and accessibility of statistical data on social change in Europe, not only for researchers and policymakers, but also for the media and the wider public.

Structure and Funding
The European Social Survey (ESS) was initiated by the European Science Foundation and is coordinated by the Centre for Comparative Social Surveys at the City University of London. In late 2013, the ESS achieved the status of a European Research Infrastructure Consortium (ERIC). This designation provides participating countries with unique research opportunities and significantly fosters the advancement of knowledge and technological development.

The ESS-ERIC is governed by a General Assembly, which oversees three standing committees: the Scientific Advisory Board, the Methods Advisory Board, and the Finance Committee. Switzerland is represented in the General Assembly by Lea Bühlmann from the State Secretariat for Education, Research, and Innovation, and in the Methods Advisory Board by Caroline Roberts.

The Core Scientific Team at the City University of London is responsible for the design and operationalization of the survey, including key methodological decisions, survey topics, the development of the source questionnaire, and the archiving of data. This work is further supported by partners at various research centers across Europe:

Each participating European country conducts the survey in accordance with the methodological guidelines established by the central ESS-ERIC team. In Switzerland, FORS is responsible for implementing the survey. Led by  Michèle Ernst Staehli, the Swiss ESS team undertakes several key tasks, including translating the English source questionnaire into three national languages (French, German, and Italian), drawing the sample for Switzerland, developing specific survey methodologies, and handling the cleaning, processing, and documentation of the Swiss ESS data.

Funding

The international project planning and organization, the questionnaire development, and data archiving are funded by the members of the ESS-ERIC. In Switzerland, the planning and operationalization of the survey are financed by the Swiss National Science Foundation (SNSF).

Methods

The ESS is characterised by scientific rigour and methodological sophistication. The two following aspects are of particular importance:

The source questionnaire must be developed with particular care in order to enable cross-country comparisons. The questions are pre-tested in several countries. Emphasis is also placed  on the quality of the question translations. The specialists of the ESS Core Scientific Team provide the national teams with guidance regarding their translation procedure. The specific process for translation and assessment is called TRAPD (translation, review, adjudication, pretesting, and documentation).

The quality of a survey depends to a high degree on the sample drawing procedures. The Core Scientific Team is supported by a group of specialists who advise and validate the national samples. In order to ensure the sample of the population is as representative as possible, the protocol prohibits quota samples and encourages the participating countries to achieve high response rates. To this effect, the methodological procedures are constantly improved (e.g., intensive interviewer training). Since the third round, Switzerland has achieved a response rate of more than 50 percent, which is an exceptionally high rate for this type of survey.

Data collection and sampling in Switzerland

The respondents are drawn from a probabilistic sample representing the countries’ population aged 15 and above. A net sample size of at least 1,500 respondents is required. Since 2010, the ESS is considered a survey of national importance to Switzerland, which means that a sample of individuals can be drawn randomly from the sampling register of the Swiss Federal Statistical Office, in accordance with Art. 13c, para. 2, lett. d, of the Ordinance on the Execution of Federal Statistical Surveys dated 30 June 1993.

Sample design: 

2002-2004: Random sampling in two stages:

  • Selection of a specific number of households in every region of Switzerland (national registry of phone numbers and addresses)
  • Random drawing of one person from each household/address

2006-2008: Random sampling in three stages:

  • Sample of postal codes representing all regions of Switzerland
  • Selection of a specified number of households from each of the sampled postal codes
  • Random drawing of one person from each household

Since 2010: Random sampling in one stage:
The ESS survey sample design is, since 2010, based on a simple random selection of individuals on national level, without stratification.
Data collection:

Until ESS round 11, data collection was carried out through face-to-face interviews (CAPI). From Round 12 onwards, there will be a gradual transition to self-administered web and paper surveys (CAWI). In round 12, half of the sample will be interviewed face-to-face (CAPI) and the other half will complete the questionnaire via web and mail. From round 13 onwards, data collection will be carried out exclusively in self-completion mode. The survey takes approximately one hour to complete.

Topics

The questionnaire is divided into two sections: a main part with core questions that remain consistent across all rounds, and a second part that focuses on specific topics, which are periodically repeated.

The core modules are designed to track the evolution of a wide range of social indicators. These include media usage, levels of trust within society, political participation, perceptions of institutions, subjective well-being, experiences of discrimination, attitudes toward social exclusion, and national, ethnic, and religious identity. Additionally, the core modules gather socio-demographic information about respondents. The consistent nature of these questions allows for the observation of changes over time.

The rotating modules, on the other hand, address specific topics that vary in each round of the ESS. For each round, research groups propose topics they consider particularly relevant. These may include entirely new topics or revisited themes from previous rounds. The purpose of the rotating modules is to deepen or expand research on specific areas of interest. Both rotating modules for ESS 2025 (Personal and Social Well-being, as well as Attitudes to Immigrants and Refugees) are repeats of previous editions.

supplementary section is dedicated to the Schwartz’ human values scale and a series of experimental tests.

2025Core modules
A) Media and social trust, Politics, Subjective well-being, social exclusion, religion, national identity
B) Socio demographics
Rotating modules
C) Personal and social wellbeing
D) Attitudes to immigrants and refugees
Additional modules
E) Human values
Test questions
2023Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Health inequalities
E) Gender in contemporary Europe
Additional modules
G) Human values
Test questions
2020/21Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Understandings and evaluation of democracy
G) Digital social contacts in work and family life
Additional modules
G) Human values
Test questions
K) Attitudes toward Covid-19 pandemic
2018Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Timing of Life
G) Fairness and Justice
Additional modules
G) Human values
Test questions
2016Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Welfare attitudes
E) Public attitudes to climate change
Additional modules
G) Human values
Test questions
2014Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Health inequalities
E) Attitudes toward immigration
Additional modules
H) Human values
Test questions
2012Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Personal and social well-being
E) Understandings and evaluation of democracy
Additional modules
G) Human values
Test questions
2010Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Trust in criminal justice
E) Family, work and well-being
Additional modules
G) Human values
Test questions
2008Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Welfare attitudes
F) Experiences and expressions of ageism
Additional modules
G) Human values
Test questions
2006Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) The timing of life: the organization of the life course
E) Personal and social well-being
Additional modules
G) Human values
Test questions
2004Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Opinions on health and care seeking
E) Economic morality: Market society and citizenship
G) Family, work and well-being
Additional modules
H) Human values
Test questions
2002Core modules
A) Media and social trust
B) Politics
C) Subjective well-being, social exclusion, religion, national identity
F) Socio demographics
Rotating modules
D) Immigration
E) Citizenship, involvement and democracy
Additional modules
G) Human values
Test questions

Data
After the completion of fieldwork, FORS reviews, verifies, and processes the data to ensure its integration into the central ESS data archive. The anonymized ESS datasets are freely available to researchers and other interested users, provided they register and agree to the data use conditions. These datasets can be downloaded from the ESS website in SAS or SPSS formats. For users without access to statistical software, the ESS website also offers an online tool for data analysis.

The Swiss ESS data is additionally accessible via the FORS – De Visu Server. This platform offers exclusive access to supplementary country-specific questions surveyed in Switzerland, along with the German and French language versions of the dataset. Further details regarding the survey, data, and variables are also available here. While FORS – De Visu provides a limited selection of Swiss ESS data, the full dataset is available on the SWISSUbase data catalogue.

For cross-country comparisons, the data must be weighted by the population size of each respective country to ensure proper representation. The ESS calculates these weights for all participating countries (see ESS Population weight). Depending on a country’s sampling design, additional weighting may be required to correct for sampling biases (see ESS Design Weight). For Switzerland, only ESS data from 2002 to 2008 requires such design weights. Since 2010, respondents have been drawn from a single-stage national random sample of individuals, eliminating the need for design weights from 2010 onward.

Researchers are reminded to adhere to the data use conditions, particularly regarding proper citation (see correct citation for Swiss datasets) in publications. All publications utilizing ESS data must be reported to the ESS data archive.

For users wishing to expand their knowledge of social science statistics, a free online course is available. EDUNET offers both theoretical and practical tutorials, including exercises based on ESS data with built-in correction/proofing.

Interesting links:

Further documents:

Research results

The European Social Survey (ESS) is one of the most significant surveys in comparative social research. Currently, over 70,000 users are registered worldwide, including 2,000 in Switzerland. The volume of publications is substantial: since the first wave of the ESS in 2002, more than 800 scientific articles based on ESS data have been published. Additionally, ESS data is frequently utilized for student training at various universities.
The ESS maintains a comprehensive list of publications that have utilized its data.

After each survey round, the ESS publishes a thematic brochure highlighting the key findings and comparisons between countries:
ESS 2020/2021: Topline Results on Digital Social Contacts in Work and Family Life and Understandings and Evaluations of Democracy
ESS 2018: Topline Results on Justice and Fairness in Europe and the Timing of Life
ESS 2016: Topline Results on Welfare Attitudes and Climate Change

ESS 2014: Topline Results on Social Inequalities in Health and Attitudes towards Immigration

ESS 2012: Topline Results on Personal and Social Wellbeing

ESS 2010 and 2008:

ESS 2010

Publications with Swiss ESS data

You can search the bibliographic database by title or author:

thinking

You can also access the Zotero database for more complex search options and access to the abstracts.
The database contains mainly publications from 2018 onwards and is updated at least once a year. Earlier publications are added occasionally.
If you have worked with Swiss ESS data and miss your publication in this list, or if you want to announce a new publication, please send the complete reference to Michele.ErnstStaehli@fors.unil.ch. Thank you for your collaboration.