Social inequality in housing allocation during the Soviet era: The case of Soviet Dnipropetrovsk as a high-priority 'closed' metropolis

The article focuses on the forms and patterns of social inequality in the process of administrative housing allocation and access to better housing conditions in Soviet Dnipropetrovsk (modern-day Dnipro, Ukraine). Ideologically, the primary objective of the socialist housing distribution system was to equalise social and regional disparities in living conditions. In practice, however, communist regimes often produced significant housing inequality, typically linked to the status of the city and the social status of the housing recipient. A mixed-method approach is employed, including the analysis of archival documents related to housing allocation in Soviet Dnipropetrovsk, transcripts of in-depth interviews with local residents of Dnipro, and a curated body of relevant scholarly literature. It has been confirmed that in Soviet Dnipropetrovsk, due to its high-priority status as a ‘closed’ city, there was a more pronounced social divide in the process of housing allocation and access, as well as in the quality of living conditions. This concerned not only unequal access to housing among different social groups, but also vertical housing inequality in terms of housing quality. The post-war elitist housing allocation policy laid the foundation for striking social inequality, which was gradually softened during the periods of de-Stalinisation and late socialism.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-27
DOI
https://doi.org/10.5281/zenodo.20406795
Primary Topic
Urbanization and City Planning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social inequality in housing allocation during the Soviet era: The case of Soviet Dnipropetrovsk as a high-priority 'closed' metropolis

Оleksiy Gnatiuk, Oleksii Havryliuk
Zenodo (CERN European Organization for Nuclear Research)
Urbanization and City Planning
article

Social inequality in housing allocation during the Soviet era: The case of Soviet Dnipropetrovsk as a high-priority 'closed' metropolis

Оleksiy Gnatiuk, Oleksii Havryliuk
article en

Abstract

The article focuses on the forms and patterns of social inequality in the process of administrative housing allocation and access to better housing conditions in Soviet Dnipropetrovsk (modern-day Dnipro, Ukraine). Ideologically, the primary objective of the socialist housing distribution system was to equalise social and regional disparities in living conditions. In practice, however, communist regimes often produced significant housing inequality, typically linked to the status of the city and the social status of the housing recipient. A mixed-method approach is employed, including the analysis of archival documents related to housing allocation in Soviet Dnipropetrovsk, transcripts of in-depth interviews with local residents of Dnipro, and a curated body of relevant scholarly literature. It has been confirmed that in Soviet Dnipropetrovsk, due to its high-priority status as a ‘closed’ city, there was a more pronounced social divide in the process of housing allocation and access, as well as in the quality of living conditions. This concerned not only unequal access to housing among different social groups, but also vertical housing inequality in terms of housing quality. The post-war elitist housing allocation policy laid the foundation for striking social inequality, which was gradually softened during the periods of de-Stalinisation and late socialism.

Zenodo (CERN European Organization for Nuclear Research)
Taras Shevchenko National University of Kyiv (UA), Ptoukha Institute for Demography and Social Studies of the National Academy of Sciences of Ukraine (UA)
Reduced inequalities
Openalex Percentile: Top 3%
Urbanization and City Planning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.