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Living conditions of households: types and sizes of occupied housing

· dynamics annual · rows: 110 · periods: 4 · section: Living standards

Residential area size and type determine living conditions; this data records the distribution of households by these characteristics. Table rows are grouped into those describing floor area and those describing specific types. Data covers the period from 2022 to 2025, illustrating settlement patterns. Indicators represent the share of households in the total, allowing for comparison between categories

shown 25 largest of 110
0 10 20 30 2022 2023 2024 2025

Distribution of households by average total (usable) —

how it will look

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Set in numbers

Rosstat data for 2022–2025. Rows: 110, periods: 4. Shown by items: Distribution of households by size of total (usable) area…; Distribution of households by size of total (usable) area…; Distribution of households by size of total (usable) area…; Distribution of households by size of total (usable) area…; Distribution of households by size of total (usable) area… and others

B. By number of children in households — row 10 — in…: the indicator increased from 2,022 to 2,025 for 2022–2025 — by 0.15%. The highest value is 2,025 (2025), the lowest is 2,022 (2022). Of the 25 largest rows, 11 increased, 14 decreased

All table numbers are series: 110
Series 2022202320242025
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 15,1 до 20,0 кв.м — в городской местности 18,14 18,78 18,43 18,67
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 15,1 до 20,0 кв.м — в сельской местности 14,63 13,23 — —
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 20,1 до 25,0 кв.м — в городской местности 17,15 16,05 15,29 15,14
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 20,1 до 25,0 кв.м — в сельской местности 20,17 11,12 — —
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 25,1 до 30,0 кв.м — в городской местности 11,65 10,41 11,89 12,44
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 25,1 до 30,0 кв.м — в сельской местности 8,65 15,88 — —
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 30,1 до 40,0 кв.м — в городской местности 11,62 13,05 13,81 16,89
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 30,1 до 40,0 кв.м — в сельской местности 16,61 24,10 — —
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 40,1 и более кв.м — в городской местности 19,60 19,64 21,18 25,06
Распределение домашних хозяйств по размеру общей (полезной) площади жилища в среднем на проживающего, в процентах: — от 40,1 и более кв.м — в сельской местности 29,59 29,09 — —

How to read this table

The provided data contains fifty-five rows classifying the housing stock by various parameters. By comparing column indicators, one can track changes in the characteristics of occupied space over the specified period. Rows vary by usable area and building type, showing the share of owners of small-scale and spacious properties

What is visible in these numbers

Five highest values: B. By number of children in households — 2,025, B. By number of children in households — 2,025, Distribution of households by size of total (usable) area… (28.2), Distribution of households by size of total (usable) area… (24.5), Distribution of households by size of total (usable) area… (21.2). The gap between the highest and lowest is 405 times. The top five account for 95.4% of the total across all items — the distribution is heavily skewed toward the top

Observations are annual, with 4 periods in the dataset. Of 100 possible values, 100 (100%) are filled — missing data is virtually absent

Values revised retroactively (40)

Rosstat clarifies already published figures Here you can see which value was changed and when — the table above shows only the current version

The same indicator in other breakdowns (4)

More in the section Living standards»

Period and application

The data is relevant for analyzing population housing conditions and urban infrastructure planning. Information is presented as shares of the total number of households. Rosstat data for 2022-2025 is suitable for real estate, urban planning, and sociological research specialists

How it is calculated

Income, expenditure and consumption are used in assessing effective demand, calculating the subsistence minimum and targeting social measures

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