Income and living conditions of the population of Lithuania (edition 2021)
Housing problems
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8 per cent of population were living in dwellings lacking an indoor flushing toilet, 7 per cent – a bath or shower. 11 per cent of residents were living in dwellings with a leaking roof, rot in window frames, floor or damp walls. 15 per cent of residents complained about noise, 17 per cent – about air and environmental pollution.
Housing quality in urban and rural areas contrasted sharply. In urban areas, 2 per cent of persons were living in dwellings lacking an indoor flushing toilet, in rural areas – 19 per cent, a bath or shower – 3 and 17 per cent respectively.
Four out of five (80 per cent) did not face any of the said housing problems: in urban areas – 85, in rural areas – 69 per cent.
Persons living below the at-risk-of-poverty threshold, compared to other persons, lived in dwellings of poorer quality, 20 per cent lived in dwellings lacking an indoor flushing toilet, 20 per cent – a bath or shower. 2 per cent of individuals were facing all four problems mentioned, 65 per cent did not face any of the said housing problems.
In 2020, 21 per cent of population were living in dwellings considered to be overcrowded. Such problem was most common for households comprised of two adults with three and more children (48 per cent).
Share of persons affected by material deprivation in the dwelling dimension, 2020
The latest and detailed data are available in the Database of Indicators
By place of residence
The latest and detailed data are available in the Database of Indicators
By income quintile group
The latest and detailed data are available in the Database of Indicators
Number of rooms in a dwelling, the percentage of population living in dwellings which are considered to be overcrowded and in dwellings with less than one room per person, 2020
By place of residence
The latest and detailed data are available in the Database of Indicators
By household type
The latest and detailed data are available in the Database of Indicators
For further terms, see the Dictionary of Statistical Terms.