Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union

DOI

The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.

Identifier
DOI https://doi.org/10.11588/DATA/10064
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/DATA/10064
Provenance
Creator Sablin, Ivan; Kuchinskiy, Aleksandr; Korobeinikov, Aleksandr; Mikhaylov, Sergey; Kudinov, Oleg; Kitaeva, Yana; Aleksandrov, Pavel; Zimina, Maria; Zhidkov, Gleb
Publisher heiDATA
Contributor Sablin, Ivan, Cluster of Excellence Asia and Europe in a Global Context; National Research University Higher School of Economics, Saint Petersburg; Sablin, Ivan; Kuchinskiy, Aleksandr; Korobeinikov, Aleksandr; Mikhaylov, Sergey; Kudinov, Oleg; Kitaeva, Yana; Aleksandrov, Pavel; Zimina, Maria; National Research University Higher School of Economics, Saint Petersburg; Cluster of excellence - Asia and Europe in a Global Context; HeiDATA: Heidelberg Research Data Repository
Publication Year 2015
Funding Reference Academic Fund Program at the National Research University Higher School of Economics (HSE) 15-05-0043
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Sablin, Ivan, Cluster of Excellence Asia and Europe in a Global Context; National Research University Higher School of Economics, Saint Petersburg (Cluster of excellence - Asia and Europe in a Global Context)
Representation
Resource Type survey data, census/enumeration data; Dataset
Format application/octet-stream; application/x-dbf; application/x-qgis; application/pdf; text/plain
Size 5; 195482; 145; 1084; 172; 996344; 892; 224103; 812; 156; 743792; 636; 56354; 134
Version 3.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Geography; Geosciences; Geospheric Sciences; History; Humanities; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage National Research University Higher School of Economics, Saint Petersburg