Housing stock of Russia at year-end: total floor space of residential premises
Total residential floor area in million square meters for the period 2000–2024 describes the state of the country's housing stock. Rows are categorized by form of ownership: total stock, the private sector, and housing owned directly by citizens. This breakdown shows the proportion of residential area held by the state or municipalities versus private ownership over the last twenty-four years. All data are as of year-end and cover the entire territory of Russia
Chart of Russia's housing stock, 2000–2024, total residential floor area, million square meters
See also
- Divorces in Russia by year long time series by year
- Marriages in Russia by year long time series by year
- Перевозки пассажиров в России по годам: статистика indicator breakdown
Set in numbers
18 series, arranged across 6 breakdowns rather than over time. 81 values in total.
“Housing stock – total” leads the table with 4,293, “Rural housing stock — other” closes it with 1. The gap between them is 4,293-fold.
All table numbers are series: 18
| Series | 2000 | 2010 | 2022 | 2023 | 2024 | 2024 |
|---|---|---|---|---|---|---|
| Жилищный фонд – всего | 2 787,00 | 3 231,00 | 4 132,00 | 4 215,00 | 4 293,00 | — |
| Жилищный фонд — частный | 1 819,00 | 2 765,00 | 3 866,00 | 3 959,00 | 4 046,00 | — |
| Жилищный фонд — из него в собственности граждан | 1 620,00 | 2 657,00 | 3 777,00 | 3 869,00 | 3 957,00 | — |
| Жилищный фонд — государственный | 177,00 | 139,00 | 89,00 | 86,00 | 83,00 | — |
| Жилищный фонд — муниципальный | 739,00 | 321,00 | 155,00 | 149,00 | 144,00 | — |
| Жилищный фонд — другой | 52,00 | 6,00 | — | — | — | — |
| Жилищный фонд — Городской жилищный фонд – всего | 2 020,00 | 2 333,00 | 3 067,00 | 3 103,00 | 3 159,00 | — |
| Городской жилищный фонд — частный | 1 163,00 | 1 951,00 | 2 852,00 | 2 898,00 | 2 962,00 | — |
| Городской жилищный фонд — из него в собственности граждан | 1 022,00 | 1 872,00 | 2 777,00 | 2 821,00 | 2 887,00 | — |
| Городской жилищный фонд — государственный | 143,00 | 121,00 | 81,00 | 77,00 | 75,00 | — |
| Городской жилищный фонд — муниципальный | 673,00 | 256,00 | 114,00 | 108,00 | 104,00 | — |
| Городской жилищный фонд — другой | 41,00 | 5,00 | — | — | — | — |
| Городской жилищный фонд — Сельский жилищный фонд – всего | 767,00 | 898,00 | 1 066,00 | 1 112,00 | 1 134,00 | — |
| Сельский жилищный фонд — частный | 656,00 | 814,00 | 1 014,00 | 1 061,00 | 1 084,00 | — |
| Сельский жилищный фонд — из него в собственности граждан | 598,00 | 785,00 | 1 000,00 | 1 047,00 | 1 071,00 | — |
| Сельский жилищный фонд — государственный | 34,00 | 17,00 | 8,00 | 9,00 | 8,00 | — |
| Сельский жилищный фонд — муниципальный | 66,00 | 66,00 | 41,00 | 41,00 | 40,00 | — |
| Сельский жилищный фонд — другой | 11,00 | 1,00 | — | — | — | — |
How to read this table
Comparing the total housing stock with the private sector shows the share of state and municipal housing within the total area. A separate row for housing owned by citizens clarifies the structure of the private sector. Comparing 2000 and 2024 values shows the change in stock size from 2787 to 4293 million square meters. The difference between these figures reflects the net increase in residential floor area in the country. Row analysis tracks which forms of ownership drove the primary expansion of the housing stock
What is visible in these numbers
Only 75% of the cells carry a value — empty cells are missing in the source publication and are not filled in here.
The same indicator in other breakdowns (1)
More in the section Russian Statistical Yearbook»
Period and application
The statistics cover the period 2000–2024 and are updated annually as part of the Russian Statistical Yearbook. This data is useful for urban planners, economists, and sociologists analyzing housing affordability and construction rates. Rosstat collects this data based on reports from local government bodies and specialized agencies. The information enables assessment of total real estate market capacity and long-term residential sector development dynamics without regional breakdown
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