Skip to content!

SOEP-Core v26 (data 1984-2009)

The German Socio-Economic Panel Study (SOEP) 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 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent 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. An immigrant sample was added as well to account for the changes that took place in Germany society in 1994/95. Further new samples were added in 1998, 2000, 2002, and 2006. The survey is constantly being adapted and developed in response to current social developments.

Dataset Information

Title: German Socio-oeconomic Panel Study (SOEP), data of the years 1984 – 2009

DOI: 10.5684/soep.v26
Collection Period: 1984–2009
Publication Date: 17.09.2010
Principal Investigators: Gert. G. Wagner, Joachim R. Frick, Jürgen Schupp, Silke Anger, Jan Goebel, Markus M. Grabka, Elke Holst, Peter Krause, Martin Kroh, Elisabeth Liebau, Henning Lohmann, Christian Schmitt, C. Katharina Spieß

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 qustionnaires 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 household3) 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 66,189
 Number of variables 43,155 in 322 data sets
 Data formats STATA, SPSS, SAS, CSV
 MD5 fingerprints of every file Stata German | TXT, 14.06 KB
Stata English | TXT, 14.06 KB
Stata English+German | TXT, 14.06 KB
SPSS German | TXT, 14.06 KB
SPSS English | TXT, 14.06 KB
SPSS portable German | TXT, 14.06 KB
SPSS portable English | TXT, 14.06 KB
SAS German | TXT, 15.63 KB
SAS English | TXT, 15.63 KB
SAS portable German | TXT, 14.06 KB
SAS portable English | TXT, 14.06 KB


  • Jan Goebel, Markus M. Grabka, Stefan Liebig, Martin Kroh, David Richter, Carsten Schröder, Jürgen Schupp. 2018. The German Socio-Economic Panel Study (SOEP). Jahrbücher für Nationalökonomie und Statistik / Journal of Economics and Statistics (online first), doi: 10.1515/jbnst-2018-0022
  • Gert G. Wagner, Jan Göbel, Peter Krause, Rainer Pischner, and Ingo Sieber (2008). Das Sozio-oekonomische Panel (SOEP): Multidisziplinäres Haushaltspanel und Kohortenstudie für Deutschland – Eine Einführung (für neue Datennutzer) mit einem Ausblick (für erfahrene Anwender). AStA Wirtschafts- und Sozialstatistisches Archiv 2 (4), 301-328. (download)
  • Schupp, Jürgen (2009): 25 Jahre Sozio-oekonomisches Panel – Ein Infrastrukturprojekt der empirischen Sozial- und Wirtschaftsforschung in Deutschland, Zeitschrift für Soziologie 38 (5), 350-357.

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

The 2010 data distribution (data for years 1984-2009) has comprehensive improvements, additions, and modifications. For the most recent survey year 2009, it also provides the usual wave-specific data ZPBRUTTO, ZP, ZPKAL, ZPGEN, ZPAGE17, ZHBRUTTO, ZH, ZHGEN, ZKIND and YPLUECKE as well as the updated files with a longitudinal component (PFAD files, biography files, spell data and weighting factors).

1. Beta verson in 'long format'

The SOEP data are being provided for the first time ever as a beta version in "long format" in addition to the standard data format. SOEPlong refers to a compressed form of the SOEP data: rather than being provided as wave-specific individual files, all available years and cohorts are pooled (long format).

2. New Subsample I
As part of the recent SOEP innovations, fieldwork began in fall 2009 on a new subsample (Sample I). The subsample is currently being used to test the effect of different incentive strategies on participation in the SOEP and it will become part of the innovation sample. See SOEPnewsletter 89 (PDF, 1.37 MB)for more on this new sample.
In four randomly assigned groups, the following strategies were used:

  1. SOEP standard incentives (one lottery ticket per respondent),
  2. Choice of eather a lottery ticket or five euros per individual interview,
  3. Five euros per individual interview,
  4. Ten euros per individual interview.

The data from the new Sample I has been included in the new release of SOEP data (SOEP, v26), but due to the particular features of the subsample, it does not have an integrated weighting framework with the rest of the SOEP samples. For subsample I we are conducting a mail survey of all non-participants in the four groups. Since this is the first wave of subsample I, we were not able to integrate the biographical information from Sample I into the existing biography files. The same applies to the biographical information in the dataset PPFAD, e.g. the variable MIGBACK is completely set to -2.

Apart from that the following additions and modifications have been made:

3. New and Renamed Datasets 

  • Data on cognitive tests (COGDJ)
    For the first time, all available data on the cognitive tests of young people ("Denksport Jugend", DJ) are included in the SOEP data release. Since 2006, these tests have been given to young respondents (aged 16) the first time they participate in the SOEP survey.

4. New Variables

4.1 Dataset $HGEN
Two new variables describing the quality of the dwelling:

  • EQPLIF$$ "Dwelling has an elevator"
  • EQPNRJ$$ "Dwelling has alternative energy source"

4.2 Dataset $PEQUIV:

  • There is a new variable on additional child benefits together with the corresponding imputation flag variable (ADCHB$$ and FADCHB$$)

4.3 Dataset $HBRUTTO - Calender Year of Interview

  • We distribute now a variable( ZDATUMY) describing the calendar year of the interview for the first time. Because of the additional Sample I (and therefore a longer fieldwork period), there were some few cases with a successful interview in 2010.

5. Revised Variables

5.1 Datasets $HGEN  

  • The variables on household type TYP1HH$$ and TYP2HH$$ were completely revised and tested for intertemporal consistency.

5.2 Datasets $KIND – KIDLONG

  • The variables were also completely revised and are now also provided in longitudinal form (KIDLONG) as well as in cross-sectional form in $KIND. This made it necessary to change the variable names in KIDLONG to be consistent over time.


  • The biographical data set on marital status was revised.

5.4 Dataset BIOTWIN

The dataset BIOTWIN contains 100 additional cases since wave Z. This considerable increase in case numbers is due to an adjustment in the data generation procedure: In contrast to the previous generation, all siblings with an identical year of birth are consdered twins under the condition that the information on the month of birth remains missing. This less restricitve generation is based on the assumption that two separate births in a single calendar year remain rare occurences. Nevertheless, the number of false positives in this group with a missing month of birth is likely to exceed the BIOTWIN average. Hence a new value label was introduced with the variable INFOTWIN in order to flag these twin groups for the user (Code "6": Coverage since 2007, congruent year of birth, missing month; see in contrast to this code "5": Coverage since 2007, congruent year & month of birth).
In its current state (wave Z) the dataset BIOTWIN covers 250 sets of twins and 5 sets of triplets.

[1] Twins - Not in 2006 (gen.)
[2] Twins - 2006 (Answer Not Verifiable)
[3] Twins - 2006 (Answer Refused)
[4] Twins - 2006 (Answer Validated)
[5] Twins - since 2007 (gen.)
[6] Twins - since 2007 (gen.)


5.5 Minor bugs fixed

  • Correction of MONTH08
  • Correction of some very few cases on IMMIYEAR
  • Change in the variable names for questions 25 and 26 in YH and ZH

1984-2009 (Wave Z)

Jan. 6, 2011

 There was a problem in the assignment of the correct current household number in 3% of the children in the generated longitudinal dataset KIDLONG. The variable HHNRAKT has been corrected accordingly.
In addition, the data in the variable K_NRKID for survey year 1987 have changed for child 397403.
Here, the "number of children in the HH below the age of 16" went from 1 to 2.

Please contact if you use the KIDLONG dataset. We will provide an individualized method of downloading the corrected version for both the 100% dataset for the EEA countries and the 95% version available for use worldwide.

Please note: If you use the corrected dataset KIDLONG we recommend citing it as follows:
Socio-Economic Panel (SOEP), data for years 1984-2009, version 26.1, SOEP, 2011.
Sozio-oekonomisches Panel (SOEP), Daten für die Jahre 1984-2009, Version 26.1, SOEP, 2011.
Short Version:
SOEP v26.1.

Survey Instruments 2009: Field-de

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

1) Handgreifkraftmessung im Sozio-oekonomischen Panel (SOEP) 2006 und 2008

2) The new IAB-SOEP Migration Sample: an introduction into the methodology and the contents

3) The Request for Record Linkage in the IAB-SOEP Migration Sample

4) Flowcharts for the Integrated Individual-Biography Questionnaire of the IAB-SOEP Migration Sample 2013

5) The Measurement of Labor Market Entries with SOEP Data: Introduction to the Variable EINSTIEG_ARTK

6) Job submission instructions for the SOEPremote System at DIW Berlin – Update 2014

7) SOEP 2015 – Informationen zu den SOEP-Geocodes in SOEP v32

8) Editing and Multiple Imputation of Item Non-response in the Wealth Module of the German Socio-Economic Panel

9) Die Vercodung der offenen Angaben zu den Ausbildungsberufen im Sozio-Oekonomischen Panel

10) Das Studiendesign der IAB-BAMF-SOEP Befragung von Geflüchteten

11) Scales Manual IAB-BAMF-SOEP Survey of Refugees in Germany – revised version

12) SOEP 2010 – Preparation of data from the new SOEP consumption module: Editing, imputation, and smoothing

13) SOEP Scales Manual (updated for SOEP-Core v32.1)

14) Kognitionspotenziale Jugendlicher - Ergänzung zum Jugendfragebogen der Längsschnittstudie Sozio-oekonomisches Panel (SOEP)

15) 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

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

17) Multi-Itemskalen im SOEP Jugendfragebogen

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

19) Documentation of ISCED Generation Based on the CAMCES Tool in the IAB-SOEP Migration Samples M1/M2 and IAB-BAMF-SOEP Survey of Refugees M3/M4 until 2017

20) Dokumentation zum Entwicklungsprozess des Moduls „Einstellungen zu sozialer Ungleichheit“ im SOEP (v38)

21) SOEP-CoV: Project and Data Documentation

22) Missing Income Data in the German SOEP: Incidence, Imputation and its Impact on the Income Distribution

23) SOEP 2006 – TIMEPREF: Dataset on the Economic Behavior Experiment on Time Preferences in the 2006 SOEP Survey

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

25) SOEP-Core v36: Codebook for the EU-SILC-like panel for Germany based on the SOEP

All documentation for filtering can be found on this page