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Survey of Stratification and Migration Dynamics in Russia, 1985-2001 (ICPSR 4206)

Principal Investigator(s): Gerber, Theodore P., University of Wisconsin-Madison


The purpose of the study was to collect survey data on the employment/work histories, family structure histories, and residential mobility histories of Russian adults from January 1985 through the end of the survey. The work histories include the following information about each job held during that time period: occupation, how the job was found, employer type, industry, and size. In addition, the survey gathered information on current residence, occupation, other job characteristics, earnings, sources of household income, household ownership of consumer goods, basic demographic indicators, and attitude measures. The data were designed to be used for multivariate analysis of the factors influencing changes in employment status, job mobility of various types, changes in marital status, fertility, and residential mobility in Russia during the period of 1985-2001. Since the period covered by the histories spans the final seven years of the Soviet era and the first decade of the post-Soviet era, the data are uniquely suited for assessing whether the transition from Soviet-style socialism has affected stratification, family formation, and migration processes. Moreover, because the data include work/employment, family structure, and migration histories, the dataset is uniquely suited for dynamic analyses of the inter-relationships among states and events in these three domains. Finally, because the data contain information on each respondent's oblast (region) of residence at all points in time from 1985-2001, data on regional characteristics can be merged with files created from the survey data, in order to measure the impact of regional characteristics on individual-level events. The data can be used to investigate job and employment transitions, union formation and dissolution, fertility, departures of children, internal migration, determinants of earnings, wage arrears, consumption, and other topics.

Access Notes

  • Data in this collection are available only to users at ICPSR member institutions. Please log in so we can determine if you are with a member institution and have access to these data files.


DS0:  Study-Level Files
DS1:  Russian - Download All Files (74.347 MB)
SAS    SPSS    Stata    ASCII   
ASCII + SAS Setup    SPSS Setup    Stata Setup   
DS2:  English - Download All Files (75.001 MB)
SAS    SPSS    Stata    ASCII   
ASCII + SAS Setup    SPSS Setup    Stata Setup   

Study Description


Gerber, Theodore P. SURVEY OF STRATIFICATION AND MIGRATION DYNAMICS IN RUSSIA, 1985-2001. ICPSR04206-v1. Moscow, Russia: Vserossiiskii Tsentr Izucheniia Obshchestvennogo Mneniia (VTsIOM) [producer], 2002. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2006-07-18. http://doi.org/10.3886/ICPSR04206.v1

Persistent URL: http://doi.org/10.3886/ICPSR04206.v1

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
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This study was funded by:

  • National Science Foundation (SBE-0096607)

Scope of Study

Subject Terms:   consumption, economic indicators, employment, family relationships, family structure, family work relationship, fertility, income, job history, labor migration, occupational mobility, political attitudes, privatization, wages and salaries, work

Geographic Coverage:   Russia, Soviet Union, Global

Time Period:  

Date of Collection:  

Unit of Observation:   Individual Russian adults, aged 16 and over in 2001.

Universe:   Noninstitutionalized adults aged 16 and over residing in Russia at the time of the survey.

Data Types:   survey data

Data Collection Notes:

(1) This data collection contains Cyrillic characters. Users are encouraged to set their computer language settings to best view these foreign-language characters. (2) An additional Stata setup file (supplementary do file) is included with this data collection to enable Stata to read foreign-language characters. Instructions on running the supplementary Stata do file are included in the Stata setup files. (3) Due to large file size, users may need to allocate additional memory when reading the Stata system file. (4) The original dataset was split into two separate parts. Part 1 includes the original Russian variables only (DATASET to QO26_20). Part 2 includes the cleaned English variables and constructed variables (DATASET to RESPID, SEX to TYP4ST).


Sample:   Multistage probability sample. All urban population points and rural administrative areas were divided into 65 strata according to region, a proxy for ethnic composition, size, and administrative status. A total of 101 PSUs were systematically selected within strata with probabilities proportionate to size (Moscow and St. Petersburg were self-representing). SSUs consisting of either electorate districts (in urban PSUs) or villages (in rural PSUs) were selected within each PSU such that 8-12 interviews were conducted in each SSU. Addresses within SSUs were selected using a random walk algorithm. At each address, the respondent with the nearest birthday was selected for interview. If no contact could be made with a designated respondent at a given address after three tries, the interviewer was permitted to substitute another address using a random walk algorithm.

Weight:   The data contain weights calculated by the data producers. The weights correct the four-way distribution of locality type (regional capitals, Moscow, St. Petersburg, and other localities), sex, age group (16 to 24, 25 to 39, 40 to 54, and 55 plus), and education (higher, complete secondary, and less than secondary) to equal the population distribution.

Response Rates:   Among respondents who could be identified and contacted, the response rate was 62.1 percent.

Restrictions: There are no restrictions on the availability of the data. However, users should cite the principal investigator (Theodore P. Gerber) as the author of the dataset, codebook, and technical report, and acknowledge the financial support of the National Science Foundation (grant SBE-0096607) for data collection.


Original ICPSR Release:   2006-07-18

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