Distribution of housing stock by wall material in 2021
Stone, wood, or other materials: the 2021 housing stock structure is categorized by wall type for three building categories. Table rows correspond to detached houses, apartment buildings, and row houses. Comparing these rows shows which materials predominate in the private sector versus urban high-rise developments
Graphical distribution of Russia's total housing stock by primary wall material in 2021 for various building types
Set in numbers
This is a cross-section: 4 series across 8 breakdowns. 32 values in total.
“Number of residential houses (individually defined buildings)” leads the table with 1.88 million, “Number of multi‑apartment buildings” closes it with 63,059. The gap between them is 29.8-fold.
All table numbers are series: 4
| Series | камень | кирпич | панели | блоки | дерево | моно- лит | смешан- ный мате- риал | другие мате- риалы |
|---|---|---|---|---|---|---|---|---|
| Число жилых домов (индивидуально- определенных зданий) | 689 695,00 | 4 194 974,00 | 196 228,00 | 884 924,00 | 9 252 615,00 | 86 888,00 | 1 433 603,00 | 1 881 375,00 |
| Число многоквартирных домов | 31 867,00 | 614 658,00 | 234 766,00 | 96 253,00 | 482 469,00 | 16 990,00 | 68 002,00 | 63 059,00 |
| Число домов блокированной застройки | 40 182,00 | 599 734,00 | 122 405,00 | 143 368,00 | 922 470,00 | 10 322,00 | 131 858,00 | 132 262,00 |
| Общая площадь жилых помещений, тыс. м2 | 92 574,00 | 1 490 160,00 | 949 139,00 | 287 383,00 | 671 072,00 | 144 072,00 | 205 460,00 | 176 188,00 |
How to read this table
Row differences allow for a comparison of material composition across different housing types. One can compare the proportion of stone or other materials in detached housing versus apartment buildings. This helps assess the technical diversity of the housing stock and the share of specific materials in each real estate segment
More in the section Housing»
Period and application
2021 statistics provide an assessment of the housing sector at a specific point in time. This Rosstat data is useful for real estate professionals, urban planners, architects, and city planners analyzing development quality and types
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