Kisumu has the highest proportion of maisonettes at 11.0 per cent, a Time Use survey by the Kenya National Bureau of Statistics (KNBS) shows.
The survey on the housing conditions for Kenyans released Thursday reveals that there is a total of 322,269 households in the county.
This includes bungalows, flats, Swahilis, shanties, traditional houses and landhies.
Generally, those who live in maisonettes in rural areas are less than one per cent of the total 12,902, 075 households across the country.
Nationally, 1.5 per cent of the entire population resides in such particular units where 0.7 per cent are in rural areas while 2.8 per cent are in urban areas.
Lamu came second at 5.2 per cent, followed by Nairobi (4.0 per cent), Baringo (3.1 per cent) and Samburu (3.0 per cent).
Counties with the lowest proportion of such maisonettes by type are Tharaka Nithi, Kitui, Makueni, Nyandarua, Turkana, West Pokot and Elgeiyo Marakwet with (0.0 per cent).
Others are Kericho, Bomet, Kakamega and Vihiga.
The survey is based on the 2021 Kenya continuous household survey.
According to KNBS, the survey is vital in assessing the impact of government policies and development initiatives.
Information on access to basic amenities is essential in determining the extent to which women and men are involved in unpaid and domestic care activities, it states.
“The information will be key in monitoring progress towards the achievement of sustainable development goals (SDGs),” the report reads in part.
Time Use surveys are important sources of information on how women and men spend their time on different activities over a specified period.
A total of 19,522 of the sampled households were found to be eligible for the survey.
Out of the eligible households, 16,945 households participated in the survey and completed the questionnaire resulting in a national household response rate of 86.8 per cent.
The time-use module targeted individuals aged 15 years and older.
There were 40,764 individuals eligible for the time-use survey module from the 16,945 households interviewed.
A maximum of two individuals were randomly selected.
