Where We Work

 

PROGRAM AREA (Geographical Coverage):

C-MaP works with rural communities & vulnerable urban populations in Homa Bay County. As such our program program areas covers, the entire districts and communities that make up the entire Homa Bay County.

Homa Bay Map

What constitutes Homa Bay County?

Karachuonyo, Kabondo Kasipul, Karachuonyo, Rangwe, Homa-Bay Town, Ndhiwa, Mbita, and Suba

Why Homa Bay?

Homa-Bay County is found along the shores of Lake Victoria in Western Kenya.

The total population was 963,794 out of which 14.35% are in the urban areas. The population density was about 303 persons per square kilometer and there were a total of 206,255 households in the County.

The average life expectancy is 47.5 compared with 64 years for counties in the former central province. The life expectancy for a man is 49 years while that for the women is 46 years. It has an area of 3,183.3 Km2 with mean annual minimum temperatures of 17.1°C to a mean maximum of 34.8°C. The County has a bimodal rainfall ranging between 250 mm to 1,650 mm per annum. Soil types range from fertile to moderately fertile nitrosols, phaeozems and vertisol. Predominant soil type is black cotton soils.

Homa-Bay’s major resources are water, arable land, livestock, pasture, and wildlife.

Poverty and Homa Bay

The Poverty Levels in the County exceeds 50 % and age dependency ratio is 100:107. At household level, poverty can be quantified in terms of total household consumption expenditure on both food and the non-food items or the food energy intake per adult household member relative to a standard reference point. Some of the impacts of the increasing level of poverty include: increasing level of secondary school drop-outs, and inability to enrol in tertiary educational institutions due to lack of school fees, increasing infant mortality rate and inability to cope with opportunistic diseases.

Poverty is multifaceted and is perpetuated by a variety of factors. For example, the devastating HIV/AIDS pandemic which causes enormous suffering to peoples livelihood in this region, not only enhances poverty and its impacts through high direct medical expenses, but more importantly and significantly through reduced efficiency of labour among the sick, wasted and re-located time of he healthy people who have to spend time and money for the sick, dying, orphans and other related social responsibilities.


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