SOEP-Core v39t (Data 1984-2022, Teaching Edition)

The Socio-Economic Panel (SOEP) is a representative, multi-cohort survey that has been running since 1984. Every year, individuals in households throughout Germany are surveyed by our survey institute on behalf of DIW Berlin. These respondents provide information on topics such as their income, employment history, education, and health. Because the same people are surveyed every year, it is possible to track long-term psychological, economic, societal, and social developments. To keep pace with changes in society, random samples are added regularly and the survey is adapted accordingly.

Dataset Information

Title: Socio-Economic Panel, data from 1984-2022 (SOEP-Core, v39, Teaching Edition)

DOI infoZur Erklärung von DOI und dessen Verwendung gibt es hier Informationen . : 10.5684/soep.core.v39t
Collection period: 1984-2022

Publication date: 2024-10-17
Principal investigators: Jan Goebel, Markus M. Grabka, Carsten Schröder, Sabine Zinn, Charlotte Bartels, Matthis Beckmannshagen, Andreas Franken, Martin Gerike, Florian Griese, Christoph Halbmeier, Selin Kara, Peter Krause, Elisabeth Liebau, Jana Nebelin, Marvin Petrenz, Sarah Satilmis, Rainer Siegers, Hans Walter Steinhauer, Felix Süttmann, Knut Wenzig, Jascha Dräger, Miriam Gauer, Yogam Tchokni, Claudia Saalbach

Contributor: infas Institut für angewandte Sozialwissenschaft GmbH (Data Collector)

Population: Persons living in private households in Germany

Special samples: IAB-SOEP Migration Sample (since 2013) and IAB-BAMF-SOEP Survey of refugees (since 2016). See the chapter SOEP-Samples in Detail on the SOEPcompanion for a description of all our samples.

Sampling: All samples of SOEP are multi-stage random samples which are regionally clustered. The respondents (households) are selected by random-walk or register sample.

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 17 years of age, mainly concerning attendance at institutions (kindergarten, elementary school)

Citation of the data set: Socio-Economic Panel (SOEP), version 39, data from 1984-2022 (SOEP-Core v39, Teaching Edition). 2024. DOI:10.5684/soep.core.v39t

If you don‘t exclude observations from the Migration Samples in your analysis, please also cite as follows:
IAB-SOEP Migration Samples (M1, M2, M7, M8 oder M8b), data of the years 2013-2022, DOI: 10.5684/soep.iab-soep-mig.2022

If you don‘t exclude observations from the Refugee Samples in your analysis, please also cite as follows:
IAB-BAMF-SOEP Survey of Refugees (M3-M6), data of the years 2016-2022, DOI: 10.5684/soep.iab-bamf-soep-mig.2022

For more information, see SOEP in the College Classroom

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)

Details on the current data delivery can be found as a supplied "WhatsNew" document in the data package or here. 


Context questions about the interview 2022: Field-de
SOEP-LEE2 Self-employed Persons 2022: Field-de
Deceased Individual (M1-M8b) 2022: Field-de
Household (M1-M8b) 2022: Field-de
Individual (Short) 2022: Field-de
: Field-de Field-de
Individual (M1-M8b) 2022: Field-de
Context questions about the interview 2022: Field-en
SOEP-LEE2 Self-employed Persons 2022: Field-en
CAMCES 2022: Field-en
Individual (PAPI) 2022: Field-de
Individual (techn.) 2022: Field-de
Individual (PAPI) 2022: Field-en
Individual (techn.) 2022: Field-en
Individual (PAPI) 2022: Field-en
Household (PAPI) 2022: Field-de
Household (techn.) 2022: Field-de
Household (PAPI) 2022: Field-en
Household (techn.) 2022: Field-en
Household (PAPI) 2022: Field-en
Biography (PAPI) 2022: Field-de
Biography (techn.) 2022: Field-de
Biography (PAPI) 2022: Field-en
Biography (techn.) 2022: Field-en
Biography (PAPI) 2022: Field-en
Catch-up Individual (PAPI) 2022: Field-de
Catch-up Individual (techn.) 2022: Field-de
Catch-up Individual (PAPI) 2022: Field-en
Catch-up Individual (techn.) 2022: Field-en
Catch-up Individual (PAPI) 2022: Field-en
Youth (16-17-year-olds, techn.) 2022: Field-de Field-en
Early Youth (13-14-year-olds, techn.) 2022: Field-de Field-en
Pre-teen (11-12-year-olds, techn.) 2022: Field-de Field-en
Childhood (0-11-year-olds) 2022: Field-de Field-en
Deceased Individual (PAPI) 2022: Field-de
Deceased Individual (techn.) 2022: Field-de
Deceased Individual (PAPI) 2022: Field-en
Deceased Individual (techn.) 2022: Field-en
Deceased Individual (PAPI) 2022: Field-en
Residential Enviroment 2022: Field-de Field-en

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

1) SOEP-Core v39 – LEE2BRUTTO: SOEP-LEE2 Employer Fieldwork Data

2) SOEP-Core v39 – LEE2ESTAB: SOEP-LEE2 Employer Survey Data

3) SOEP-Core v39 – LEE2PERSON: SOEP-LEE2 PID-EID Linkage File

4) SOEP-Core v39 – SELFEMPL: Self-Employed Survey Data

5) SOEP-Core v39 – CHILDL: Dataset on Children in the SOEP, Including “Mother & Child”, “Parent & Child”, and “Childhood” Questionnaires

6) SOEP-Core – 2022: Sampling, Nonresponse, and Weighting in Sample R

7) SOEP-Core – 2022: Report of Survey Methodology and Fieldwork

8) SOEP-Core v39 – CHILDL (Formerly BIOAGEL): Content Description of the Dataset with Respondents, Topics, and Development

9) SOEP-Core v39 – Sample Sizes and Panel Attrition in the German Socio-Economic Panel (SOEP) (Years 1984 to 2022)

10) SOEP-Core v39 – PPATHL: Person-Related Meta-Dataset

11) SOEP-Core v39 – HPATHL: Household-Related Meta-Dataset

12) SOEP-Core v39 – PBRUTTO: Person-Related Gross File

13) SOEP-Core v39 – HBRUTTO: Household-Related Gross File

14) SOEP-Core v39 – PGEN: Person-Related Status and Generated Variables

15) SOEP-Core v39 – HGEN: Household-Related Status and Generated Variables

16) SOEP-Core v39 – Codebook for the $PEQUIV File 1984-2022: CNEF Variables with Extended Income Information for the SOEP

17) SOEP-Core v39 – BIOIMMIG: Generated Information on Immigration History

18) SOEP-Core v39 – HEALTH

19) SOEP-Core v39 – BIOBIRTH: Biological Parent/Child Connections

20) SOEP-Core v39 – INTERVIEWER

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

1) SOEP-Core – 2022: Report of Survey Methodology and Fieldwork

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