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German General Social Survey ALLBUS - Small-scale Geodata 2014, 2016 and 2018
Creator
Stefan Bauernschuster (Universität Passau)
Andreas Diekmann (ETH Zürich)
Detlef Fetchenhauer (Universität zu Köln)
Andreas Hadjar (Université du Luxembourg)
Frauke Kreuter (Universität München)
Karin Kurz (Universität Göttingen)
Stefan Liebig (Universität Bielefeld)
Ulrich Rosar (Universität Düsseldorf)
Michael Wagner (Universität zu Köln)
Ulrich Wagner (Universität Marburg)
Bettina Westle (Universität Marburg)
Study number / PID
ZA5262, Version 3.0.0 (GESIS)
10.4232/1.13762 (DOI)
Data access
Information not available
Series
Not available
Abstract
The addresses of ALLBUS survey respondents form the basis for the allocation of small-scale geodata. With the aid of geocoding (i.e. the calculation of geo-coordinates from the addresses), the point coordinates were linked with external geodata. These geodata originate on the one hand from the geodata provided by the 2011 census (census atlas) and on the other hand from the official noise mapping according to the Bundes-Immisionsschutzgesetz (Federal Immission Control Act).
The grid cells of the census atlas assigned to ALLBUS respondents contain information on:
• the population (1 km and 100 m)
• the average age and proportions of under-18-year-olds and over-65-year-olds (1 km)
• the gender ratio (1 km)
• the proportion of foreigners (1 km)
• household and apartment size and vacancy rate (1 km).
For the survey years 2016 and 2018, the small-scale geodata also include census data on a 100m × 100m grid level from the following categories:
• Demography
• Households
• Families
• Buildings
The small-scale geodata of the ALLBUS 2014 also contain point-related data on:
• road traffic noise
• rail traffic noise
• aircraft noise.
The daytime average and night values and the distance to the specified noise source are given as well.
The small-scale geo-variables of this data set can be merged with the survey data of the ALLBUS by the identification number of the respondents.
Just like the regional identifiers, this data set is subject to special access restrictions, because the small-scale geo-attributes may allow deanonymization of the survey participants. For this reason, the data can only be used on-site in the Secure Data Center of GESIS. You will find more information and contact persons on our website.
Please contact the ALLBUS user service first and send us the completed ALLBUS geodata form (see documents), in which you specify exactly which variables you need from the data set. As soon as you have clarified the modalities of data access with the...
Many but not all metadata providers use ELSST Thesaurus for their keywords.
Keywords
Not available
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
24/03/2014 - 09/2018
Country
Germany
Time dimension
Not available
Analysis unit
Geographic unit
Universe
Not available
Sampling procedure
Two stage disproportionate random sample in western Germany (incl. West Berlin) and eastern Germany (incl. East Berlin) from all persons (German and non-German) who resided in private households and were born before 1 January 1996. In the first sample stage municipalities (Gemeinden) in western Germany and municipalities in eastern Germany were selected with a probability proportional to their number of adult residents; in the second sample stage individual persons were selected at random from the municipal registers of residents.
Targeted individuals who did not have adequate knowledge of German to conduct the interview were treated as systematic unit non-responses.
Kind of data
Geospatial
Data collection mode
Personal interview with standardized questionnaire (CAPI – Computer Assisted Personal Interviewing) and two additional self-completion questionnaires (CASI – Computer Assisted Self-Interviewing) for ISSP (split questionnaire design).
Access
Publisher
GESIS Data Archive for the Social Sciences
Publication year
2021
Terms of data access
C - Data and documents are only released for academic research and teaching after the data depositor's written authorization. For this purpose the Data Archive obtains a written permission with specification of the user and the analysis intention.