Roschart — Russian statistics in charts

Official Rosstat statistics turned into charts instead of CSV and XLSX

RU

Housing by income: from apartment to house

· snapshot · rows: 5 · periods: 5 · section: Living standards

The share of households in private apartments, communal apartments, or private houses depends directly on their income level. The columns present five population groups, from the first (lowest income) to the fifth (highest income). The rows allow for comparison of housing types across different income levels. Private apartments account for 49.61141846 percent of households in the first group and 89.62182854 percent in the fifth

Chart showing the distribution of households by housing type by income group

All households — in a separate apartment: 49.6% All households — in a separate apartment49.6% Все домохозяйства — в индивидуальном (одноквартирном) доме, части индивидуального (одноквартирного) дома: 44.4% Все домохозяйства — в индивидуальном (однок…Все домохозяйства — в индивидуальном (одноквартирном) доме, части индивидуального (одноквартирного) дома44.4% All households — in a dormitory: 4.91% All households — in a dormitory4.91% All households — in a communal apartment: 0.62% All households — in a communal apartment0.62% Все домохозяйства — в другом жилье: 0.40% Все домохозяйства — в другом жилье0.40% 100.0
how it will look

See also

Set in numbers

The table is a snapshot — 5 series shown across 5 breakdowns. 25 values in total.

“All households — in a separate apartment” leads the table with 89.6, “Все домохозяйства — в другом жилье” closes it with 0.303. The gap between them is 296-fold.

All table numbers are series: 5

How to read this table

Groups are compared horizontally, with each column representing a specific income level. The rows categorize three housing types: private apartment, communal apartment, and detached house. This illustrates changes in housing structure from low-income to high-income population segments

More in the section Living standards»

Period and application

Rosstat data is presented as a cross-section independent of specific years, allowing for the removal of temporal factors. Researchers, sociologists, and social policy specialists use this data to assess the housing conditions of various social groups. Analyzing the link between income and housing type helps refine support programs and understand current public housing needs