House price indices on the primary market by constituent entities, to the corresponding period, 2026 edition
Percentage change in new building prices in Q1 2026 compared to the same period of the previous year. The list contains 96 rows, including the national total, federal districts, and individual constituent entities. Columns are categorized by housing type, from all apartment types to luxury, showing price dynamic differences across real estate classes in each region
Primary housing market price indices by constituent entities of the Russian Federation in Q1 2026 compared to the same quarter of the previous year
See also
- Diesel fuel prices in Russia by year long time series by year
- Egg prices in Russia by year long time series by year
- Gasoline prices in Russia by year long time series by year
- Inflation in Russia by year long time series by year
- Milk prices in Russia by year long time series by year
- Инфляция в России по годам: таблица 1991–2026 и графики indicator breakdown
- Цены на продукты в России по годам с 1991 года indicator breakdown
- Инфляция в 2026 году: что подорожало сильнее всего indicator breakdown
- Цены на продукты в 2026 году: что подорожало за год indicator breakdown
- Цены на бензин в 2026 году: АИ-92, АИ-95 и дизель indicator breakdown
- Стоимость минимального набора продуктов: сколько и по годам indicator breakdown
- Инфляция по регионам России в 2026 году: рейтинг indicator breakdown
- Индекс потребительских цен 2026: что это и как считают indicator breakdown
Set in numbers
Rosstat data. Rows: 96, indicators: 4. Shown by items: 643 - Russian Federation; 030 - Central Federal District; 20000000000 - Voronezh Oblast; 34000000000 - Kostroma Oblast; 42000000000 - Lipetsk Oblast and others
Five largest values: 46000000000 - Moscow Oblast (148.1), 67000000000 - City of federal significance Sevastopol (124.2), 35000000000 - Republic of Crimea (122.6), 45000000000 - City of Moscow, capital of the Russian Federation (122.4), 12000000000 - Astrakhan Oblast (121.4). The top five account for 22.2% of the total for all items
All table numbers are series: 96
How to read this table
Row variations allow for comparing national trends with data from specific oblasts, krais, and republics. Comparing column values reveals how market conditions in the current quarter have affected specific housing categories, from mass-market to luxury segments
What is visible in these numbers
The dataset contains the following indicators: All types of apartments; of which: — standard quality apartments (typical); of which: — improved quality; of which: — elite apartments
Out of 100 possible values, 100 are filled (100%); there are practically no gaps in the data
More in the section Prices, inflation»
Period and application
This data is used to analyze primary housing costs in Q1 2026. The percentage-based information helps track inflation rates in the construction sector and compare developer pricing across different parts of the country. These data are essential for assessing real estate market dynamics at the regional level
How it is calculated
The figures are useful for revising price lists, disputing indexation with a supplier, and calculating real, rather than nominal, sales dynamics
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