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German General Social Survey ALLBUS - Small-scale Geodata 2014 and 2016

Version
2.0.0
Resource Type
Dataset : Survey and aggregate data
Creator
  • GESIS - Leibniz-Institut für Sozialwissenschaften
Publication Date
2018-11-30
Contributor
  • Stefan Bauernschuster (Researcher)
  • Andreas Diekmann (Researcher)
  • Detlef Fetchenhauer (Researcher)
  • Andreas Hadjar (Researcher)
  • Frauke Kreuter (Researcher)
  • Karin Kurz (Researcher)
  • Stefan Liebig (Researcher)
  • Ulrich Rosar (Researcher)
  • Michael Wagner (Researcher)
  • Ulrich Wagner (Researcher)
  • Bettina Westle (Researcher)
  • TNS Infratest Sozialforschung, Munich (Data Collector)
Language
German
Description
  • Abstract

    The addresses of the ALLBUS 2014 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). The small-scale geodata of the ALLBUS also contain point-related data on the: • 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 2014 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 (SDC) 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 ALLBUS user service, the data usage contract for the use of the data at a guest workstation (Safe Room) will be sent to you.
Temporal Coverage
  • 2014-03-24 / 2014-09-13
  • 2016-04-06 / 2016-09-18
Geographic Coverage
  • Germany (DE)
Sampled Universe
Residents in private households in the Federal Republic of Germany born before 1 January 1996.
Sampling
Sampling Procedure Comment: 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.
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).
Data and File Information
  • Number of Variables: 42
Note
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 (SDC) 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 ALLBUS user service, the data usage contract for the use of the data at a guest workstation (Safe Room) will be sent to you. A Digital Object Identifier (DOI) for use in data citations is supplied as part of the data set. Additional information on ALLBUS is available at: http://www.gesis.org/en/allbus
Availability
Download
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.
Rights
All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
Alternative Identifiers
  • ZA5262 (Type: ZA-No.)
  • ALLBUS (Type: FDZ)
Relations
  • Is new version of
    DOI: 10.4232/1.13020
Publications
  • Schweers, S., K. Kinder-Kurlanda, S. Müller and P. Siegers (2016): "Conceptualizing a spatial data infrastructure for the social sciences: an example from Germany." Journal of Map & Geography Libraries 12 (1): 100-126. doi: dx.doi.org/10.1080/15420353.2015.1100152.
  • Wasmer, M., M. Blohm, J. Walter, R. Jutz & E. Scholz (2017): Konzeption und Durchführung der ´Allgemeinen Bevölkerungsumfrage der Sozialwissenschaften´ (ALLBUS) 2014. GESIS - Technical Reports 2017/20. Köln: GESIS
  • Müller, S., S. Schweers & P. Siegers (2017): Geocoding and Spatial Linking of Survey Data: An Introduc-tion for Social Scientists. GESIS Papers 2017/15. Unter: https://www.ssoar.info/ssoar/handle/document/52316

Update Metadata: 2020-10-21 | Issue Number: 15 | Registration Date: 2018-11-30

GESIS - Leibniz-Institut für Sozialwissenschaften (2018): Allgemeine Bevölkerungsumfrage der Sozialwissenschaften ALLBUS - Kleinräumige Geodaten 2014 und 2016. Version: 2.0.0. GESIS Datenarchiv. Dataset. https://doi.org/10.4232/1.13192