SOEP-Core v31.1 (update, data 1984-2014)

Das Sozio-oekonomische Panel (SOEP) ist eine repräsentative Wiederholungsbefragung, die bereits seit 1984 läuft. Im Auftrag des DIW Berlin werden jedes Jahr in Deutschland über 20.000 Personen aus rund 11.000 Haushalten von TNS Infratest Sozialforschung befragt. Die Daten geben Auskunft zu Fragen über Einkommen, Erwerbstätigkeit, Bildung oder Gesundheit. Weil jedes Jahr die gleichen Personen befragt werden, können langfristige soziale und gesellschaftliche Trends besonders gut verfolgt werden. Bereits im Juni 1990, also noch vor der Währungs-, Wirtschafts- und Sozialunion, wurde die Studie auf das Gebiet der ehemaligen DDR ausgeweitet. Zur adäquaten Erfassung des gesellschaftlichen Wandels in den Jahren 1994/95 wurde die »Zuwanderer-Stichprobe« eingeführt. Weitere zusätzliche Stichproben wurden in den Jahren 1998, 2000, 2002, 2006, 2009, 2011, 2012 und zuletzt 2013 in die laufende Erhebung integriert. Das Erhebungsprogramm wird ständig an neue Entwicklungen in der Gesellschaft angepasst. Die internationale Version enthält 95% des Stichprobenumfangs.

Dataset Information

Title: German Socio-Economic Panel (SOEP), data of the years 1984-2014

DOI: 10.5684/soep.v31.1
Collection period: 1984-2014
Publication date: March 18, 2016
Principal investigators: Jürgen Schupp, Jan Goebel, Martin Kroh, Carsten Schröder, Klaudia Erhardt, Alexandra Fedorets, Marco Giesselmann, Markus Grabka, Peter Krause, Simon Kühne, Maximilian Priem, David Richter, Rainer Siegers, Paul Schmelzer, Christian Schmitt, Daniel Schnitzlein, Ingrid Tucci, Knut Wenzig

You can see the complete information by clicking at the DOI of the original data set http://dx.doi.org/10.5684/soep.v31

Data set information:

Number of units 104,320
Number of variables 57,670 in 396 data sets
Data format STATA, SPSS, SAS, CSV

MD5 fingerprints

Distribution format zip file
all files
Stata bilingual 97e40d9627a3b653b9b253257104b47c   | TXT, 17.35 KB
Stata German 799f2efd0c288284d8d854b3002db10e   | TXT, 17.35 KB
Stata English d3cc60dca4898d2c06112011323bcd40   | TXT, 17.35 KB
SPSS German 424a1fc44d440fe980a882aafe85faa8   | TXT, 17.35 KB
SPSS English 2784bbbe3f9366425f29f19aa0ae2cb2   | TXT, 17.35 KB
SAS German 4637d7561a8a03ece9498a84fd8e6ef9   | TXT, 19.38 KB
SAS English b22f5ba5bf7169305749da0ba2f51fc0 | TXT, 19.38 KB
CSV 108a47a2d54f90c70f04b1b1b71a83e5   | TXT, 17.35 KB
GGKBOU 9687f0ee5c0c2f062add2ca2eb863ca6   | TXT, 140 Byte
GGKBOU English 324eb662636015966ee332db455426ab   | TXT, 140 Byte
Teaching version
Stata German (teaching) 1fb1cb874080af642d4a07a93e021459   | TXT, 17.35 KB
Stata English (teaching) 89270ab8a316310516b4fb77a8df0700   | TXT, 17.35 KB
SPSS German (teaching) e65d36ce2cdb56d2669810889338c38c   | TXT, 17.35 KB
SPSS English (teaching) 2d8a34fdc0021944163f177c806944a4   | TXT, 17.35 KB
SAS German (teaching) 4257739525dee17d4f9e8c0af7ec5611   | TXT, 17.78 KB
SAS English (teaching) 6b2df5776e70037af942cd0c82597279   | TXT, 17.78 KB

Publications using this file should refer to the above DOI infoFind an explanation on the usage of DOI here.and cite following references

  • Goebel, Jan, Markus M. Grabka, Stefan Liebig, Martin Kroh, David Richter, Carsten Schröder, and Jürgen Schupp. 2019. The German Socio-Economic Panel (SOEP). Jahrbücher für Nationalökonomie und Statistik (Journal of Economics and Statistics) 239 (2), 345-360. (https://doi.org/10.1515/jbnst-2018-0022)

If you do not exclude the cases of the migration samples in your analysis, then please also cite the following reference:

  • Herbert Brücker, Martin Kroh, Simone Bartsch, Jan Goebel, Simon Kühne, Elisabeth Liebau, Parvati Trübswetter, Ingrid Tucci & Jürgen Schupp. 2014. The new IAB-SOEP Migration Sample: an introduction into the methodology and the contents. SOEP Survey Paper 216 (PDF, 444.25 KB), Series C. Berlin, Nürnberg: DIW Berlin.

If you do not exclude the cases of the refugee samples in your analysis, please also cite: 

  • Herbert Brücker, Yuliya Kosyakova, Nina Rother, Sabine Zinn, Elisabeth Liebau, Wenke Gider, Silvia Schwanhäuser, & Manuel Siegert. 2025. Exploring Integration and Migration Dynamics: The Research Potentials of a Large-Scale Longitudinal Household Study of Refugees in Germany. European Sociological Review. https://doi.org/10.1093/esr/jcaf032.

If you use data from the SOEP-LEE2 surveys, please also cite:

  • Wenzel Matiaske, Torben Dall Schmidt, Christoph Halbmeier, Martina Maas, Doris Holtmann, Carsten Schröder, Tamara Böhm, Stefan Liebig, and Alexander S. Kritikos. 2023. SOEP-LEE2 : Linking Surveys on Employees to Employers in Germany. Jahrbücher für Nationalökonomie und Statistik Data Observer, 1–14. https://doi.org/10.1515/jbnst-2023-0031.

If you would like to refer more specifically, please also cite:

  • Schröder, Carsten, Johannes König, Alexandra Fedorets, Jan Goebel, Markus M. Grabka, Holger Lüthen, Maria Metzing, Felicitas Schikora, and Stefan Liebig. 2020. The economic research potentials of the German Socio-Economic Panel study. German Economic Review 21 (3), 335-371. (https://doi.org/10.1515/ger-2020-0033)
  • Giesselmann, Marco, Sandra Bohmann, Jan Goebel, Peter Krause, Elisabeth Liebau, David Richter, Diana Schacht, Carsten Schröder, Jürgen Schupp, and Stefan Liebig. 2019. The Individual in Context(s): Research Potentials of the Socio-Economic Panel Study (SOEP) in Sociology. European Sociological Review 35 (5), 738-755. (https://doi.org/10.1093/esr/jcz029)
  • Jacobsen, Jannes, Magdalena Krieger, Felicitas Schikora, and Jürgen Schupp. 2021. Growing Potentials for Migration Research using the German Socio-Economic Panel Study. Jahrbücher für Nationalökonomie und Statistik 241 (4), 527-549. (https://doi.org/10.1515/jbnst-2021-0001)
  • Fedorets, Alexandra, Stefan Kirchner, Jule Adriaans, and Oliver Giering. 2022. Data on Digital Transformation in the German Socio-Economic Panel. Jahrbücher für Nationalökonomie und Statistik 242 (5-6), 691-705. (https://doi.org/10.1515/jbnst-2021-0056)

In the file with generated longitudinal data on children (KIDLONG) in SOEP-Core v31.1 another correction had to be implemented: Some few data that only had been asked in the FiD study were missing.

This applies to the variables KA06$$ (Activities for children below the age of 6) and KA16$$ (Activities for children aged 6 to 16).

If you want to analyze these variables there are three ways to use the corrected data:

  1. You use the original data from SOEP-Core (in the files $$KIND)
  2. You use the data set KIDL in SOEPlong (there the data had been implemented correctely)
  3. You may ask for the correct data set KIDLONG at our hotline (soepmail@diw.de). We can provide you with an individualized download link.

Field-de Field-en
Individual (PAPI) 2014: Field-de Field-en
Household (PAPI) 2014: Field-de Field-en
Biography (PAPI) 2014: Field-de
Catch-up Individual 2014: Field-de
Youth (16-17 year-olds) 2014: Field-de
Pre-Teen (11-12 year-olds) 2015: Field-de
Mother and Child (Newborns) 2014: Field-de
Mother and Child (2-3-year-olds) 2014: Field-de
Mother and Child (5-6-year-olds) 2014: Field-de
Parents and Child (7-8-year-olds) 2014: Field-de
Mother and Child (9-10-year-olds) 2014: Field-de
Deceased Individual 2014: Field-de

Please find all sample specific questionnaires of this year and all questionnaires of previous years on this site

1) SOEP 2014 – Methodenbericht zum Befragungsjahr 2014 (Welle 2) des IAB-SOEP-Migrationssamples 2013 (M1)

2) SOEP 2014 – TNS Report of SOEP Fieldwork in 2014

3) SOEP 2014 – Methodenbericht zum Befragungsjahr 2014 (Welle 31) des Sozio-oekonomischen Panels

4) SOEP 2014 – Documentation on Biography and Life History Data for SOEP v31 and v31.1

5) Documentation of Sample Sizes and Panel Attrition in the German Socio Economic Panel (SOEP) (1984 until 2014)

6) SOEP Glossary

7) 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

8) Die Vercodung der offenen Angaben zur beruflichen Tätigkeit nach der Klassifikation der Berufe 2010 (KldB 2010): Vorgehensweise und Entscheidungsregeln bei nicht eindeutigen Angaben

9) SOEP 2014 – Documentation of the Person-Related Meta-Dataset PPFAD for SOEP v31

10) SOEP 2014 – Documentation of the Person-related Meta-dataset PPFAD for SOEP v31.1

11) SOEP 2014 – Documentation of the Household-Related Meta-Dataset HPFAD for SOEP v31

12) SOEP 2014 – Documentation of the Household-related Meta-dataset HPFAD for SOEP v31.1

13) SOEP 2014 – Documentation of Person-Related Status and Generated Variables in PGEN for SOEP v31

14) SOEP 2014 – Documentation of Person-related Status and Generated Variables in $PGEN for SOEP v31.1

15) SOEP 2014 – Documentation of Household-Related Status and Generated Variables in HGEN for SOEP v31

16) SOEP 2014 – Documentation of Household-related Status and Generated Variables in $HGEN for SOEP v31.1

17) SOEP 2014 – Codebook for the $PEQUIV File 1984-2014: CNEF Variables with Extended Income Information for the SOEP

18) SOEP 2014 – Documentation of the Person-Related Meta-Dataset HEALTH for SOEP v31

19) SOEP 2014 – Documentation of the Person-related Meta-dataset HEALTH for SOEP v31.1

20) SOEP 2014 – Documentation of Person-related Variables on Children in BEKIND for SOEP v31.1

21) SOEP 2014 – Documentation of the Pooled Dataset on Children in KIDLONG for SOEP v31.1

22) SOEP 2014 – Documentation of the Dataset INTERVIEWER: Detailed Information on SOEP Interviewers for SOEP v31

1) Zur Erhebung des adaptiven Verhaltens von zwei- und dreijährigen Kindern im Sozio-oekonomischen Panel (SOEP)

2) Assessing the distributional impact of "imputed rent" and "non-cash employee income" in microdata : Case studies based on EU-SILC (2004) and SOEP (2002)

All documentation for filtering can be found on this page

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