Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Commissioning of residential buildings in urban and rural areas, 2000–2023

· snapshot · rows: 7 · periods: 6 · section: Russian Statistical Yearbook (2024)

Between 2000 and 2023, new housing volumes varied between urban and rural areas. This data records the number of houses commissioned in urban and rural areas, as well as the share of housing built by the population using own and attracted funds. The data covers each year of the specified twenty-three-year period and allows for tracking the scale of housing construction in the country

Chart of housing completions in urban and rural areas from 2000 to 2023

2000 2010 2021 2022 2023 2023 In urban areas In urban areas / 2000: 23.1 In urban areas / 2010: 43.7 In urban areas / 2021: 65.6 In urban areas / 2022: 69.7 In urban areas / 2023: 73.8 In rural areas In rural areas / 2000: 7.20 In rural areas / 2010: 14.7 In rural areas / 2021: 27.0 In rural areas / 2022: 33.0 In rural areas / 2023: 36.6 Built by the population at own an…Built by the population at own and attracted funds: — in urban areas Built by the population at own and attracted funds: — in urban areas / 2000: 6.20 Built by the population at own and attracted funds: — in urban areas / 2010: 12.7 Built by the population at own and attracted funds: — in urban areas / 2021: 24.5 Built by the population at own and attracted funds: — in urban areas / 2022: 27.4 Built by the population at own and attracted funds: — in urban areas / 2023: 27.2 Built by the population at own an…Built by the population at own and attracted funds: – in rural areas Built by the population at own and attracted funds: – in rural areas / 2000: 6.40 Built by the population at own and attracted funds: – in rural areas / 2010: 12.8 Built by the population at own and attracted funds: – in rural areas / 2021: 24.6 Built by the population at own and attracted funds: – in rural areas / 2022: 29.8 Built by the population at own and attracted funds: – in rural areas / 2023: 31.5 Built by the population at own an…Built by the population at own and attracted funds: — In urban and rural areas Built by the population at own and attracted funds: — In urban and rural areas / 2000: 207.0 Built by the population at own and attracted funds: — In urban and rural areas / 2010: 409.0 Built by the population at own and attracted funds: — In urban and rural areas / 2021: 635.0 Built by the population at own and attracted funds: — In urban and rural areas / 2022: 700.0 Built by the population at own and attracted funds: — In urban and rural areas / 2023: 755.0 Built by the population at own an…Built by the population at own and attracted funds: – In urban areas Built by the population at own and attracted funds: – In urban areas / 2000: 216.0 Built by the population at own and attracted funds: – In urban areas / 2010: 415.0 Built by the population at own and attracted funds: – In urban areas / 2021: 601.0 Built by the population at own and attracted funds: – In urban areas / 2022: 635.0 Built by the population at own and attracted funds: – In urban areas / 2023: 673.0 Built by the population at own an…Built by the population at own and attracted funds: – In rural areas Built by the population at own and attracted funds: – In rural areas / 2000: 182.0 Built by the population at own and attracted funds: – In rural areas / 2010: 392.0 Built by the population at own and attracted funds: – In rural areas / 2021: 734.0 Built by the population at own and attracted funds: – In rural areas / 2022: 895.0 Built by the population at own and attracted funds: – In rural areas / 2023: 999.0
how it will look

See also

Set in numbers

The table is a snapshot — 7 series shown across 6 breakdowns. 35 values in total.

The largest value belongs to “Built by the population at own and attracted funds: – In rural areas” — 999; the smallest is “Built by the population at own and attracted funds: — in urban areas” at 27.2. The gap between them is 36.7-fold.

All table numbers are series: 7

How to read this table

Table rows categorize the housing stock by locality type and source of financing. Comparing urban and rural indicators shows where more houses are built, while a separate row for the population's own funds shows the private sector's share of the total volume. Data is presented in columns by year, allowing for comparison across different periods

What is visible in these numbers

The table is 83% filled: Rosstat does not publish every cell, and the gaps are left as they are rather than interpolated.

The same indicator in other breakdowns (1)

More in the section Russian Statistical Yearbook»

Period and application

Data is taken from the 2024 Russian Statistical Yearbook. The dataset covers the period from 2000 to 2023 and is suitable for analyzing housing construction dynamics. Rosstat statistics are useful for architects, developers, and those studying the real estate market and regional infrastructure development

1) Данные за 2021 гг. пересчитаны с учетом итогов ВПН-2020.

1) Data for 2021 are presented taking into account the All-Russian Population Census of 2020 results