The percentage of economy-class housing in total new construction from 2012 to 2015 can be tracked in these data. The table contains 95 rows covering the Russian Federation, federal districts, and individual subjects, such as the Bryansk region. These allow for a comparison of budget housing construction levels across different parts of the country and an analysis of how this share changed over four years. The data are annual and published by Rosstat at the end of each year
Rosstat data for 2012–2015. Rows: 95, periods: 4. Breakdown by positions: Russian Federation; Central Federal District; Bryansk Region; Vladimir Region; Kaluga Region; and others
Murmansk Region: indicator grew from 6.8 to 77 in 2012–2015 — by 11.3 times. Highest value — 100 (2014), lowest — 6.8 (2012). Of the 23 largest rows, 18 increased, 5 decreased
The rows are categorized by territory, from the national aggregate to specific federal districts and regions. This enables a comparison of regions where the economy-class share is higher and where it remains minimal. Comparing these series helps identify differences in housing construction approaches at the federal and local levels over the specified four-year period
What is visible in these numbers
Five highest values: Murmansk Region (100), Kabardino-Balkar Republic (79), Stavropol Krai (68), Kursk Region (57), Volgograd Region (48.4). Gap between highest and lowest — by 50 times. The top five account for 46.8% of the total across all positions
Observations are annual and cover 4 periods. Cells with the number 100 out of 100 (100%), i.e., the table is almost completely filled
The statistics cover four years and are suitable for analyzing the structure of the housing stock. This information will be useful for developers, construction industry representatives, and government agencies monitoring the affordability of new housing across various subjects of Russia
How it is calculated
Housing input drives demand for finishing, furniture and household appliances with a lag of one to one and a half years, and these rows can be calculated in advance
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