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Transatlantic Trends: Immigration, 2011

Resource Type
Dataset : survey data
  • Ziebarth, Astrid (German Marshall Fund of the United States)
  • Bernstein, Hamutal (German Marshall Fund of the United States)
  • Nyiri, Zsolt (German Marshall Fund of the United States)
  • Isernia, Pierangelo (University of Siena (Italy))
  • Diehl, Claudia (University of Goettingen (Germany))
  • Martin, Susan (Georgetown University)
Other Title
  • Archival Version (Subtitle)
Collective Title
  • Transatlantic Trends Survey Series
Publication Date
Funding Reference
  • German Marshall Fund of the United States
  • Compagnia di San Paolo (Italy)
  • Barrow Cadbury Trust (United Kingdom)
  • Fundacion BBVA (Spain)
Free Keywords
acculturation; attitudes; citizenship; crosscultural perceptions; developing nations; employment; government performance; illegal immigrants; immigrants; immigration; immigration policy; international assistance; political parties; public opinion; social attitudes; social integration; social issues; social services; voter attitudes; voting behavior; wages and salaries
  • Abstract

    The aim of the Transatlantic Trends Survey is to identify the attitudes of the public in the United States and European countries towards foreign policy issues and transatlantic issues. Transatlantic Trends: Immigration, a special topic public opinion survey conducted yearly since 2008, is a project of the German Marshall Fund of the United States. For 2011, the Immigration survey examined attitudes and policy preferences related to immigration in France, Germany, Italy, the United Kingdom, and the United States. This collection focused on respondent perceptions of legal and illegal immigrants, conditions for admittance of immigrants, level of support for policies to reduce immigration, preconditions for citizenship, and whether or not immigration enriched society. Respondents were asked to identify the most important issues facing their country, to evaluate their government's performance in managing immigration and the economy, whether immigration presented a national opportunity or a problem, and whether they believed immigrants were integrating well into society. Additional topics included the developments in North Africa and the Middle East, responsibility for displaced refugees coming from North Africa, and whether the respondent's nation should offer economic aid to countries committed to democracy. Lastly, respondents were asked about which political party they identified with, their voting intentions in the next national election, and whether political party agendas would influence their vote. Demographic and other background information includes gender, age, stage at which full-time education was completed, age when stopped full-time education, employment status, ethnic background, country of birth, citizenship, parents' citizenship status, type of phone line, ownership of a mobile phone, and the number of people in their household.
  • Methods

    Please refer to the "Technical Information" section in the Original P.I. Documentation within the ICPSR codebook for further information about weighting.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
  • Methods

    Response Rates: The total response rate for all countries surveyed is 8 percent. Please refer to the "Technical Information" section in the Original P.I. Documentation within the ICPSR codebook for additional information about response rates.
  • Table of Contents


    • DS1: Transatlantic Trends: Immigration, 2011
Temporal Coverage
  • 2011-08-25 / 2011-09-18
    Time period: 2011-08-25--2011-09-18
  • 2011-08-25 / 2011-09-18
    Collection date: 2011-08-25--2011-09-18
Geographic Coverage
  • France
  • Germany
  • Global
  • Italy
  • United Kingdom
  • United States
Sampled Universe
The adult population (aged 18 years and over) with access to landline telephone in six countries: Germany, France, Italy, Spain, the United Kingdom (excluding Northern Ireland), and the United States. In Italy, Spain, and the United States twenty percent of the sample was, moreover, contacted on mobile phones. Smallest Geographic Unit: country
The basic sample design applied in all states is multi-stage random (probability). In each household, the respondent was drawn at random (following the "closest birthday rule"). Up to 5 call-backs for telephone interviews and 4 visits in total for face-to-face interviews were attempted before dropping a potential respondent. Twenty percent of the sample in the USA, Italy, and Spain was contacted through mobile phone instead of landline. Only fixed telephone lines are included in the other cases.
Collection Mode
  • computer-assisted telephone interview (CATI)

    The original data collection was carried out by TNS, Fait et Opinion - Brussels, on request of the German Marshall Fund of the United States.

    The codebook and setup files for this collection contain characters with diacritical marks used in many European languages.

    Additional information on the Transatlantic Trends Survey is provided on the Transatlantic Trends Web site.

This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (
Alternative Identifiers
  • 34423 (Type: ICPSR Study Number)
  • Is previous version of
    DOI: 10.3886/ICPSR34423.v1

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-16

Ziebarth, Astrid; Bernstein, Hamutal; Nyiri, Zsolt; Isernia, Pierangelo; Diehl, Claudia et. al. (2013): Transatlantic Trends: Immigration, 2011. Archival Version. Transatlantic Trends Survey Series. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.