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            Research Guide to the Russian and Soviet Censuses

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            Contributor(s)
            Clem, Ralph S. (editor)
            Language
            English
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            Abstract
            Taken together, the Russian census of 1897 and the Soviet censuses of 1926, 1959, 1970, and 1979 constitute the largest collection of empirical data available on that country, but until the publication of this book in 1986, the daunting complexity of that material prevented Western scholars from exploiting the censuses fully. This book is both a guide to the use of and a detailed index to these censuses. The first part of the book consists of eight essays by specialist on the USSR, six of them dealing with the use of census materials and the availability of data for research on ethnicity and language, marriage and the family, education and literacy, migration and organization, age structure, and occupations. The second part, a comprehensive index for all the published census, presents more than six hundred annotated entries for the census tables, a keyword index that enables researchers to find census data by subject, and a list of political-administrative units covered in each census.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/162370
            Keywords
            History of specific lands; Social research and statistics; thema EDItEUR::N History and Archaeology::NH History::NHD European history
            DOI
            10.7298/zrmw-dv14
            ISBN
            9781501707087, 9781501707155, 9781501707070, 9780801418389
            Publisher
            Cornell University Press
            Publisher website
            cornellpress.cornell.edu
            Publication date and place
            Ithaca, 2016
            Grantor
            • National Endowment for the Humanities
            Imprint
            Cornell University Press
            Series
            Studies in Soviet History and Society,
            Pages
            324
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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