SI366

Eurobarometer 88.2: integration of immigrants in the European Union and corruption (2017)

European Commission

Version:
2.0

Changelog (Archive version):

2.0 - 2022-05-31
* Data and metadata updated to the latest release (2.0.0)

1.0 - 2018-06-11
* First import routine of the study

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Release:
2.0.0

Changelog (Source release):

2.0.0 - 2022-05-17
* Archive edition

1.0.0 - 2018-04-26
* Archive pre-release

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Availability:
available

UniData provides two kind of data access:

  • open data
    (all users can use the data - an expense allowance could be required)
  • restricted data
    (the data use is limited - see below)

Data Kind:
individual data

Time Dimensions:
longitudinal (trend repeated cross-section)

Series Name:
EB - Eurobarometer

Questionnaire:
235.76 KB
837.30 KB
other documentation
Website

The Eurobarometer survey is designed to provide regular monitoring of public social and political attitudes in the EU through specific trend questions. Therefore, the general aim of EB is to know the attitudes and evaluations of European citizens about large general themes. The questions concern to the European integration issues, but sometimes they regard also specific problem about single country or common problems of economic, political or social nature.

The arguments of Eurobarometer 88.2 are as follows:

  • Attitudes towards immigrants and integration: opinions about some topics and data related to the wider theme of immigration (ex. estimated share of legal immigrants compared to the share of illegal immigrants, immigration as opprtunity or as a problem, proportion of immigrants in the total national population).
    Interactions and relationships with immigrants in everyday life: in the school, at the workplace or in public spaces.
    Specific aspetcs considered important for a successful integration into the country of residence; role of national and european institutions in the integration process.
  • Corruption: attitude towards offering extra money or gifts to a doctor or a public healthcare institution for a health service.
    Opinion about how acceptable is offering favour/material goods in order to obtain something from public administration.
    Opinion and personal experience about: how common is corruption in different fields (tangents and power abuse); reporting a corruption episode.
  • Demography: political position, household composition, occupation, possession of technology devices and of an internet connection, current financial status and opinion about a future improvement, frequency of political discussions (national and european politics).

Data are available for free (registration required). After logging in, please click on the green button download_arrow in the box at the right.



Keywords: , ,


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Topic Classification:

  • DEMOGRAPHY AND POPULATION - migration
  • LAW, CRIME AND LEGAL SYSTEMS - crime
  • SOCIAL STRATIFICATION AND GROUPINGS - minorities
  • SOCIETY AND CULTURE - social behaviour and attitudes
  • Nations: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Great Britain, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Northern Ireland, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden

    Geographical Unit: size community

    Analysis Unit: individual

    Universe: Residents in the respective country aged 15 and over

    Sample Procedure: About 1000 for each country. Multi-stage stratified random sample

    Weight: Weight used. Please read the documentation for any details

    Collection Mode: face to face interview, Computer-Assisted Personal Interviewing (CAPI)

    Collection Size: UniData supplies: 1 dataset in SPSS format; 1 dataset in Stata format; 1 syntax file concerning missing value in SPSS format; 2 questionnaires in PDF format (eng, ita); 1 methodological notes and codebook file in PDF format (eng) (6 file)

    Documentation:

    Methodological Notes and codebook (pdf):
    DDI Documentation:
    DDI Documentation

    Data Use Restriction:
    UniData – official representative for the dissemination of Eurobarometer surveys in Italy – provides a free data access for all Italian residents upon registration. Data are released in according to GESIS Licence (Category 0), available at this link. Other users will need to contact the GESIS Data Archive.
    Source Contact: Eurobarometer Data Service - GESIS

    Citation:
    European Commission. (2017) Eurobarometer 88.2: integration of immigrants in the European Union and corruption. TNS Opinion & Social [Producer]. GESIS - Leibniz Institute for the Social Sciences [Producer]. UniData - Bicocca Data Archive, Milan. Study Number SI366. Data file version 2.0

    Deposit Requirement:
    The user is obliged to quote all data and documents disseminated by UniData and used in the own publications, using the information previously showed. The user is also obliged to send UniData the bibliographic citations related to the publications where the requested data and documents are used.

    Disclaimer:
    Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.

    Notes:

    Question module QA ‘Integration of immigrants in the European Union’ was newly introduced.

    Question module QB ‘Corruption’ is partly based on questions asked in the context of the corresponding module surveyed in the framework of Eurobarometer 79.1.

    Starting with Eurobarometer 81.3 (with 84.1 for Germany), the category scheme for country specific protocol variables P6 (SIZE OF COMMUNITY) has changed considerably. Categories for all countries have been harmonized among each other to three values (Rural area – Towns and suburbs/small urban area – Cities/large urban areas).

    Starting with Eurobarometer 81.3 the category scheme for country specific protocol variables P7 (REGION) has changed for some countries, in particular introducing NUTS categories for Ireland, Estonia, and Croatia.

    Please note that gen1 to gen6 are based on age instead of year of birth, which may entail a slightly inaccurate categorization for some respondents. Moreover, additional discrepancy in the categorization might be due to the potential use of 2016 as reference year instead of 2017.

    Please note for variable p6lv ‘SIZE OF COMMUNITY – LATVIA’ the unusual distribution for the Riga region.

    Data for protocol variables p8 (postal code), p9 (sample point number) and p10 (interviewer number) have not been made available.