Housing area under social tenancy agreements by region
In 2022, a specific floor area of housing was occupied under social tenancy agreements, with data broken down by constituent entities and districts. The rows contain data for the country as a whole, federal districts, and individual regions, allowing for a comparison of indicators across different territories. The columns distinguish between total floor area and the portion accounted for by new developments, helping to assess the share of new housing stock in the total volume
Total occupied floor area under social tenancy agreements in 2022 by Russian region
See also
- Housing commissioning in Russia by year long time series by year
- Сколько кв. метров жилья на человека в России indicator breakdown
Set in numbers
Rosstat data. Rows: 94, indicators: 2. Breakdown: Russian Federation; Central Federal District; Belgorod Region; Bryansk Region; Vladimir Region and others
Five highest values: Russian Federation (973 729), Central Federal District (177 088), North-Western Federal District (148 019), Moscow (71 984), Moscow Region (21 389). The gap between the highest and lowest is 746.5 times. The top five account for 90.6% of the total across all positions — the distribution is heavily skewed towards the top
All table numbers are series: 94
How to read this table
The differences between rows reveal a hierarchy, from the total value for the Russian Federation to indicators for specific regions. By comparing districts and regions, one can identify where social housing occupancy volumes are higher or lower. The columns also clarify the structure of the housing stock by highlighting the floor area in new buildings relative to the total number of occupied premises
What is visible in these numbers
Table columns: total; including new buildings
Cells with numbers 50 out of 50 (100%); there are practically no data gaps
More in the section Housing conditions»
Period and application
Data for 2022 are presented as a one-time snapshot and do not imply annual updates. The statistics are useful for analyzing the population's housing conditions and planning the distribution of housing stock. The information is published by Rosstat and covers 94 rows, including federal districts and constituent entities of the Russian Federation
How it is calculated
Rosstat notes: Excluding statistical information on the Donetsk People's Republic (DPR), Luhansk People's Republic (LPR), Zaporozhye and Kherson regions
1) Без учета статистической информации по Донецкой Народной Республике (ДНР), Луганской Народной Республике (ЛНР), Запорожской и Херсонской областям.
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