The German Socio-Economic Panel (SOEP) study is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. Every year, there were nearly 15,000 households, and more than 25,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Eastern and Western German States, foreigners, and immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators. As early as June 1990—even before the Economic, Social and Monetary Union—SOEP expanded to include the states of the former German Democratic Republic (GDR), thus seizing the rare opportunity to observe the transformation of an entire society. Also immigrant samples were added in 1994/95 and 2013/2015 to account for the changes that took place in Germany society. Further new samples were added in 1998, 2000, 2002, 2006, 2009, 2010, 2011, and 2012. Since Version 31 (10.5684/soep.v31) the SOEP includes the complete data from “Familien in Deutschland” (Families in Germany, FiD) which has been retrospectively integrated into the SOEP and made available in user-friendly form to all SOEP users. The FiD survey has been carried out in parallel to the SOEP as a so-called “SOEP-related study” from 2010 to 2013. The survey is constantly being adapted and developed in response to current social developments. The international version contains 95% of all cases surveyed (see 10.5684/soep.v32i).
Title: Socio-Economic Panel (SOEP), data from 1984-2015
Collection period: 1984-2015
Publication date: December 14, 2016
Principal investigators: Jürgen Schupp, Jan Goebel, Martin Kroh, Carsten Schröder, Charlotte Bartels, Klaudia Erhardt, Alexandra Fedorets, Marco Giesselmann, Markus Grabka, Peter Krause, Simon Kühne, David Richter, Diana Schacht, Paul Schmelzer, Christian Schmitt, Daniel Schnitzlein, Rainer Siegers, Knut Wenzig
Data collector: TNS Infratest Sozialforschung GmbH.
Population: Persons living in private households in Germany.
Selection method: All samples of SOEP are multi-stage random samples which are regionally clustered. The respondents (households) are selected by random-walk.
Collection mode: The interview methodology of the SOEP is based on a set of pre-tested questionnaires for households and individuals. Principally an interviewer tries to obtain face-to-face interviews with all members of a given survey household aged 16 years and over. Additionally one person (head of household) is asked to answer a household related questionnaire covering information on housing, housing costs, and different sources of income. This covers also some questions on children in the household up to 16 years of age, mainly concerning attendance at institutions (kindergarten, elementary school, etc.)
Data set information:
|Number of units||113,840|
|Number of variables||61,902 in 413 data sets|
|Data format||STATA, SPSS, SAS, CSV|
|Stata bilingual||76ac7dacaf663934cc1511b08e3510d3||| TXT, 18.11 KB|
|Stata German||088df0e5419d73f66d25b37ff6a41488||| TXT, 18.11 KB|
|Stata English||d7f41baeeaffcbd8083f431a60860de5||| TXT, 18.11 KB|
|SPSS German||829d6893bc7ae8bb636158f13cc5dd6b||| TXT, 18.11 KB|
|SPSS English||48f1d9ef7314c38084f1ebe436b6ff39||| TXT, 18.11 KB|
|SAS German||cac3ec7ccaa11e4484dbc4ed3eec8fcc||| TXT, 20.23 KB|
|SAS English||52c77d38b5fd8d57ab2575591ac698ae||| TXT, 20.23 KB|
|CSV||dc3497a6af769753cd7c31a8ff93f3b0||| TXT, 18.11 KB|
|GGKBOU||0dd7977b178723ce512499d4bf7bb578||| TXT, 140 Byte|
|GGKBOU English||d6aa5c401047e51f7877818ffc202453||| TXT, 140 Byte|
|Stata German (teaching)||020aa097295e452dd884992cd980a6ab|
|Stata English (teaching)||4f08c9219fa5beb1df09bdcb2278b339|
|SPSS German (teaching)||08c54677b3640b725ddca5fe5fcab5e9|
|SPSS English (teaching)||dd0c9903f53587be4b444dd228af0a6a|
|SAS German (teaching)||8fd89a198861ff7ae6f9d73413fd2d75|
|SAS English (teaching)||190d3260961cae7d9fcbcecf1ff4b8c9|
einstieg_artk and einstieg_pbio: SOEP has offered two additional labor market entry variables since providing data version 32 as part of the BIOJOB file. They were constructed on the basis of employment history information to the exact year and month. They refer to a generic uniform definition of the first survey period after the transition from the educational system to the labor market. The construction details for these variables are documented in detail in the SOEP Survey Paper 429, a short version of the description is also available in the BIOJOB documentation. (SOEP Survey Paper 418)
The new data release (1984–2015) "SOEP.v32" provides, for the most recent survey year 2015, the usual wave-specific data files BFPBRUTTO, BFP, BFPEQUIV, BFP_MIG, BFPKAL, BFPGEN, BFPAGE17, BFHBRUTTO, BFH, BFHGEN, BFKIND, and BEPLUECKE as well as the updated files with a longitudinal component (PFAD files, biography files, spell data, and weighting factors).
1. New migrant subsample (M2)
In 2013, we conducted the first IAB-SOEP Migration Sample in partnership with the Institute for Employment Research (IAB) in Nuremberg (for an overview of M1, see SOEP Survey Paper 216). The households from the second IAB-SOEP Migration Sample surveyed in 2015 are now also included in the SOEP data. The target population of the second IAB-SOEP Migration Sample consists of immigrants to Germany who have arrived between 2010 and 2013. Migrants from the new EU member states in Eastern Europe dominate this group. This focus will make it possible to better describe the dynamic recent evolution of immigration to Germany. The sample M2 consists of 1,096 households, and was, like sample M1, drawn from register data from the Federal Employment Agency.
Please note that data from both samples can be linked with administrative employment and income data: Survey respondents are asked to provide explicit consent to record linkage. But since this linked dataset contains social data, these weakly anonymized data are only accessible on site at the Research Data Center of the German Federal Employment Agency at the IAB (FDZ IAB). Researchers can access FDZ IAB data through a guest visit to the IAB or through remote data processing, also arranged with the IAB. The linked data will soon be available to external researchers. Requests for data access should be directed to FDZ IAB, since a contract with IAB for data use is required.
For more information, see the FDZ IAB website.
3. Changed datasets or variables
4. New datasets or variables
Individual (PAPI) 2015: Field-de Var-de Var-en
Household 2015: Field-de Var-de Var-en
Biography (PAPI) 2015: Field-de Var-de Var-en
Youth (16-17 year-olds) 2015: Field-de Var-de Var-en
Pre-Teen (11-12 year-olds) 2015: Field-de
Mother and Child (Newborns) 2015: Field-de
Mother and Child (2-3-year-olds) 2015: Field-de
Mother and Child (5-6-year-olds) 2015: Field-de
Parents and Child (7-8-year-olds) 2015: Field-de
Mother and Child (9-10-year-olds) 2015: Field-de
Deceased Individual 2015: Field-de
Please find all sample specific questionnaires of this year and all questionnaires of previous years on this site
16) Die Vercodung der offenen Angaben zur beruflichen Tätigkeit nach der International Standard Classification of Occupations 2008 (ISCO08) - Direktvercodung - Vorgehensweise und Entscheidungsregeln bei nicht eindeutigen Angaben
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