Dataset details
Ref dataset: 690 (1.0.0)
Dataset title
Survey among Swiss Abroad
DOI 10.23662/FORS-DS-690-1
Ref dataset 690
Ref study 10924
Dataset language English
Additional information
Dataset version 1.0.0
Version notes
Errata
Publication date 01.03.2018
See variables on De Visu
Bibliographical citation Joachim Blatter, Andrea Schlenker: Survey among Swiss Abroad [Dataset]. Universität Luzern - Kultur- und Sozialwissenschaftliche Fakultät - Politikwissenschaftliches Seminar. Distributed by FORS, Lausanne, 2018. https://doi.org/10.23662/FORS-DS-690-1
Data type Quantitative data
Consent of respondents
Time method
Media
  • Digitalized data file
Data collector
Available document types
  • Codebook
  • Communications to respondents
  • Collection instruments
  • FORS documentation
  • Other
Remarks about the documentation
Restriction None
Special order
Special permission None
Status Published

Survey among Swiss Abroad: Data Files
Collection date - begin 25.09.2015
Collection date - end 20.10.2015
Analysis unit
  • Individual
Universe Adult Swiss citizens, permanent resident in the respective countries, naturalized (i.e. dual citizens) and not naturalized (i.e. mono citizens).
Sampling description For the four countries with the largest amount of Swiss abroad (France, Germany, Italy and USA) the Federal Department of Foreign Affairs drew a random sample from all registered e-mail addresses. The sample was drawn proportionally to the consular districts and comprised 3000 people for each country. Concerning the other five countries, all of the registered e-mail addresses were included in the sample. Overall 17'420 people received the invitation to participate in the survey.
Mode of data collection
  • Self-administered questionnaire: Web-based
Data collection instruments
  • Questionnaire
Data source
Weighting information
Response rate France: 18,64%; Germany: 28,40%; USA: 24,84%; Italy: 19,13%; Argentina: 24,58%; Brazil: 23,09%; South Africa: 33,09%; Singapore: 26,98%; Japan: 36,28%. These response rates are calculated on the basis of the numbers of cases in the General Documentation (4233), page 3, prior to the cleaning of the data.
Data completeness
Number of cases 3819
Number of variables 189