Distribution of households by number of persons and ownership type of dwelling

checked 26.10.2026 · snapshot · rows: 21 · periods: 10 · section: Distribution of surveyed households by place of residence (в 2023 году)

The number of persons per apartment or house by type of ownership is reflected in the data for 2022 and 2023. Rows are categorized by ownership type: state and municipal, private and housing cooperatives, and others. This illustrates the relationship between household size and housing tenure. Columns indicate the number of persons from one to five and more, providing a breakdown of household structure in the country for the specified period

how it will look

Set in numbers

Rosstat data for 2022–2023. Series: 21, periods: 10. The breakdown is by the following items: state and municipal; private, housing construction cooperatives; other form of ownership; in a separate apartment; in a communal apartment and others

Five largest values: Number of persons per 100 rooms (162.2), private, housing construction cooperatives (95.1), 3 or more rooms (77.6), in a separate apartment (77.2), from 40.1 and more sq.m (67.8). The gap between the largest and smallest is 852.9 times. The top five account for 56% of the total for all items — the distribution is heavily skewed toward the top

All table numbers are series: 21

Series	1 лица — 2022	1 лица — 2023	2 лиц — 2022	2 лиц — 2023	3 лиц — 2022	3 лиц — 2023	4 лиц — 2022	4 лиц — 2023	5 и более лиц — 2022	5 и более лиц — 2023
государственное и муниципальное	1,75	1,40	1,78	1,56	2,22	1,53	1,26	1,26	3,57	2,90
частное, ЖСК	89,88	89,11	91,14	93,28	93,18	93,11	94,70	95,07	92,48	94,12
другая форма собственности	8,37	9,49	7,08	5,16	4,60	5,36	4,04	3,67	3,95	2,98
в отдельной квартире	76,36	77,23	71,53	70,86	73,49	74,76	68,94	69,09	53,90	52,24
в коммунальной квартире	0,92	0,77	0,39	0,39	0,25	0,24	0,06	0,04	0,10	0,30
в общежитии	0,19	0,10	0,05	0,11	0,04	0,03	0,02	0,01	0,03	0,03
в отдельном доме, в части дома	22,53	21,89	28,03	28,64	26,15	24,96	30,99	30,86	45,97	47,43
1 комнату	30,43	32,69	15,41	14,03	7,40	8,59	3,49	3,47	3,37	2,57
2 комнаты	40,63	40,10	42,56	43,09	40,66	39,40	31,35	32,85	20,89	19,78
3 и более комнат	28,94	27,21	42,02	42,87	51,87	52,01	65,17	63,67	75,75	77,65
до 9,0 кв.м	0,02	0,01	0,33	0,28	0,81	2,05	3,69	3,24	11,20	11,91
от 9,1 до 11,0 кв.м	0,02	0,01	0,28	0,35	3,85	2,85	10,36	10,74	17,18	15,11
от 11,1 до 13,0 кв.м	0,15	0,19	0,40	0,46	3,29	4,26	14,58	16,16	22,46	22,06
от 13,1 до 15,0 кв.м	0,16	0,23	1,96	1,58	11,94	13,41	21,33	19,55	16,32	15,38
от 15,1 до 20,0 кв.м	1,20	0,88	14,01	13,37	39,18	37,72	32,71	31,63	15,52	17,76
от 20,1 до 25,0 кв.м	0,92	0,81	26,94	27,15	23,08	23,04	11,66	11,79	8,49	7,10
от 25,1 до 30,0 кв.м	5,90	5,70	24,29	23,65	9,55	8,51	3,20	4,21	3,38	4,01
от 30,1 до 40,0 кв.м	23,86	26,56	21,64	21,06	5,46	5,26	1,52	1,79	3,68	3,43
от 40,1 и более кв.м	67,77	65,60	10,15	12,10	2,84	2,90	0,95	0,88	1,76	3,23
Число лиц, приходящихся на 100 комнат	48,79	49,97	83,82	82,67	115,74	116,39	141,95	140,74	162,20	155,44
Размер общей площади жилого помещения, в среднем на проживающего, кв.м	49,73	49,57	28,75	29,09	20,91	20,62	16,39	16,50	15,19	15,77

How to read this table

Comparing rows helps identify differences between occupants of municipal housing and owners of private houses or apartments in housing cooperatives. One can compare the proportions of single-person households with multi-generational families of five or more people. This clearly shows which housing types are more common for single individuals versus large families. Differences in ownership types allow for an analysis of the availability of various housing types for households of different sizes

What is visible in these numbers

Cells with numbers 210 out of 210 (100%) — there are practically no missing values

More in the section Distribution of surveyed households by place of residence»

Period and application

The data cover 2022 and 2023 and are based on Rosstat survey results. This information is useful for sociologists, demographers, and housing policy specialists analyzing population settlement patterns. Regular updates of such indicators allow for tracking changes in family composition and housing tenure across the country

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