Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Average cost of 1 square meter of housing commissioned with budget funds, by regions

· snapshot · rows: 26 · periods: 2 · section: Construction

The average cost per square meter of housing commissioned through the federal budget in the Russian Federation in the first half of 2021 was 67560.17954 rubles. The table provides data by constituent entities, including federal districts and individual regions, allowing for an assessment of construction cost variations. Indicators are broken down by source of funding, highlighting differences in the cost per square meter when using federal funds versus regional and local budget funds

shown 25 largest of 26

Table of average cost per square meter of housing by region for January-June 2021, broken down by source of funding

Moscow 97,507 Central Federal District 97,236 Sakhalin Region 92,337 Far Eastern Federal District 86,900 Russian Federation 72,333 Voronezh Region 60,721 Ural Federal District 50,947 Sverdlovsk Oblast 50,947 Nenets Autonomous Okrug 47,494 Northwestern Federal District 44,232 Arkhangelsk Region 44,232 Arkhangelsk… Autonomous Okrug)Arkhangelsk Oblast (excluding Nenets Autonomous Okrug) 42,737 Kemerovo Region 41,350 Siberian Federal District 40,639 Southern Federal District 37,938 Astrakhan Region 37,938 Samara Region 35,766 Ryazan Region 34,409 Ulyanovsk Region 33,094 Volga Federal District 32,448 Perm Territory 32,362 Saratov Region 32,324 North Caucasian Federal District 11,054 Stavropol Territory 11,054 Republic of Tyva 2,707
how it will look

See also

Set in numbers

26 series, arranged across 2 breakdowns rather than over time. 43 values in total.

The largest value belongs to “Moscow” — 97,507; the smallest is “Republic of Tyva” at 2,707. The gap between them is 36-fold.

All table numbers are series: 26
Series за счет средств федерального бюджетаза счет средств бюджетов субъектов Российской Федерации и местных бюджетов
Российская Федерация 67 560,18 72 332,82
Центральный федеральный округ 69 586,54 97 235,87
Воронежская область 60 662,67 60 720,85
Рязанская область 34 337,93 34 408,60
г.Москва 70 000,00 97 507,03
Северо-Западный федеральный округ — 44 232,37
Архангельская область — 44 232,37
Ненецкий автономный округ — 47 493,91
Архангельская область (кроме Ненецкого автономного округа) — 42 736,93
Южный федеральный округ 37 940,70 37 937,50
Астраханская область 37 940,70 37 937,50
Северо-Кавказский федеральный округ 11 022,73 11 053,66
Ставропольский край 11 022,73 11 053,66
Приволжский федеральный округ 34 846,44 32 448,40
Пермский край — 32 362,16
Самарская область — 35 765,84
Саратовская область 35 000,00 32 323,82
Ульяновская область 33 138,40 33 093,75
Уральский федеральный округ — 50 946,84
Свердловская область — 50 946,84
Сибирский федеральный округ 38 657,77 40 639,20
Республика Тыва 41 705,39 2 706,67
Кемеровская область 37 006,90 41 350,07
Дальневосточный федеральный округ 91 217,43 86 900,31
Республика Бурятия — 31 774,47
Сахалинская область 91 217,43 92 336,55

How to read this table

Table rows are grouped by territory, starting with national and federal district totals and ending with data for individual regions, such as Voronezh Oblast. Values should be compared across different funding sources to identify how construction costs for residential properties are distributed depending on which budget allocates funds for construction in a specific constituent entity of the Russian Federation

What is visible in these numbers

The table is 84% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.

More in the section Construction»

Period and application

Statistics cover the period from January to June 2021 and are relevant for specialists in construction, public expenditure planning, and residential real estate price monitoring. Updating this data allows for tracking the dynamics of budget construction costs at the regional level. The information is useful for analysts in social policy and regional development who use this data to assess the efficiency of budget fund utilization in the housing sector