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Thousands of Kenyans displaced by Lake Naivasha flooding
Flooding at Lake Naivasha has submerged hundreds of buildings and disrupted local tourism and businesses, forcing evacuations and raising health concerns, officials said.
- Joyce Cheche, head of disaster risk management for Nakuru County, said rising waters displaced 7,000 people and tourist boat operators on Lake Naivasha evacuated flooded homes in recent weeks.
- Numerous studies blame increased rainfall this year, with Joyce Cheche saying `We didn't see it coming` despite the decade-long rise in lake levels, as experts debate tectonics versus climate change.
- On the ground, community infrastructure is underwater, with Rose Alero saying `People are suffering` amid overflowing toilets, illness, and children leaving school on makeshift rafts facing hippos in Lake Naivasha.
- Nakuru County has assisted with transport and health measures but provided no financial compensation, while flower-sector workers refuse to show up amid cholera and landslide fears.
- The lake has pushed inland up to 1.5 kilometres, spreading at around a metre per day, reflecting a Rift Valley lakes pattern displacing hundreds of thousands this year.
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Thousands Displaced as Lake Naivasha Floodwaters Swallow Kenyan Communities - TV360 Nigeria
The tourist boats that usually glide across Kenya’s iconic Lake Naivasha have taken on an unexpected new role in recent weeks: rescuing families from flooded homes. For more than a decade, water levels on the Rift Valley lake have been steadily rising, often spilling over its banks. But residents of Kihoto, a modest lakeside community, say the scale of this year’s flooding is unlike anything they have ever witnessed. “It hasn’t happened like thi…
Usually occupied by tourists, boats from the famous Lake Naivasha, in central Kenya, roam this time between engulfed houses, filled with furniture saved from the floods that have these last semai...
Coverage Details
Total News Sources29
Leaning Left3Leaning Right7Center5Last UpdatedBias Distribution47% Right
Bias Distribution
- 47% of the sources lean Right
47% Right
L 20%
C 33%
R 47%
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