Average total floor space of residential premises per capita in Russia
square metres
The average housing floor space per capita in the country ranged from 24.3 to 29.4 square meters between 2015 and 2024. The rows provide data for the country as a whole, as well as separately for urban and rural areas. This allows for an assessment of the disparities in housing provision between urban and rural residents. The data is annual, expressed in square meters per person, covers the entire country, and is updated annually
Chart of average housing floor space per capita in Russia from 2015 to 2024, in square meters
- Общая площадь жилых помещений, приходящаяся в среднем на одного жителя – всего
- in urban areas
- in rural areas
Set in numbers
3 series are published here in square metres, from 2015 to 2024, 6 reporting periods. 18 values in total.
Between 2015 and 2024 “Общая площадь жилых помещений, приходящаяся в среднем на одного жителя – всего” rose from 24.3 to 29.4 — 21%.
All table numbers are series: 3
| Series | 2015 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Общая площадь жилых помещений, приходящаяся в среднем на одного жителя – всего | 24,30 | 26,70 | 27,50 | 28,20 | 28,80 | 29,40 |
| в городской местности | 23,90 | 26,50 | 27,40 | 28,00 | 28,30 | 28,80 |
| в сельской местности | 25,60 | 27,20 | 28,00 | 29,00 | 30,40 | 31,20 |
How to read this table
Comparing urban and rural indicators helps identify the gap in housing conditions between different types of settlements. The total row allows for tracking the overall trend in housing floor space per capita across Russia. Differences between the rows indicate which environment provides more spacious living conditions and where the floor space per capita remains lower
What is visible in these numbers
The largest value belongs to “in rural areas” — 31.2 square metres; the smallest is “in urban areas” at 28.8 square metres.
More in the section Housing»
Period and application
Statistics are published annually based on Rosstat data and cover a ten-year period. The indicators are useful for analyzing housing construction, assessing quality of life, and planning urban and rural infrastructure development. Data is presented in square meters and is suitable for studying housing stock dynamics
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