Kenya’s HIV epidemic in 2025 remains a defining public health challenge, one that has evolved significantly over decades yet continues to claim thousands of lives each year.  

The HIV Prevalence and Mortality dashboard presents a sobering national portrait: as of 2025, an estimated 1,326,416  Kenyans are currently living with HIV reflecting the total accumulated burden of the epidemic while 21,009 HIV-related deaths and 20,105 new infections were recorded within 2025 alone, confirming that the epidemic continues to claim thousands of lives and find new hosts every year despite decades of intervention. 

The HIV Prevalence and Mortality dashboard, drawing on data from the National Syndemic Diseases Control Council (NSDCC), presents a sobering national portrait:  and the burden falls heaviest on the young, the vulnerable, and communities in specific geographic hotspots.  

With HIV prevalence ranging from as low as 0.11 per cent to as high as 11.41 per cent across counties, the data underscores that this is not a uniform national crisis; it is a deeply localised one, shaped by geography, age, gender, and access to care. Understanding where the epidemic is concentrated, who it is killing, and which populations remain most at risk is essential to shaping a response that is both targeted and equitable. 

With 1,326,416 Kenyans living with HIV and 21,009 HIV-related deaths in 2025, the epidemic remains one of the country’s most pressing public health challenges.  

HIV-related deaths among children are highest in Mombasa, Kisumu, and Kiambu 

Kisumu leads the high-prevalence chart, with a rate approaching 11.41 per cent, alongside Nairobi, Kisii, Bungoma, and Nyeri, a spread that stretches from the lake region into central Kenya, signalling that while the western epicentre remains dominant, the virus has not spared other regions.  

The lake region counties of Migori, Homa Bay, and Siaya consistently appear across multiple indicators, confirming western Kenya as the undisputed epicentre of the epidemic and the area most urgently requiring sustained, concentrated intervention. 

The toll on children is particularly alarming. With 62,858 children living with HIV and 2,688 HIV-related child deaths, the paediatric dimension of the epidemic remains deeply unresolved. HIV-related deaths among children are highest in Mombasa, Kisumu, and Kiambu, while Migori, Busia, and Kericho lead in child prevalence pointing to systemic failures in both PMTCT coverage and paediatric treatment access in these regions.  

Among adolescents and young adults, Migori again leads in prevalence, followed by Kiambu, Mombasa, and Machakos, reflecting the vulnerability of youth in both high-density urban environments and high-burden rural counties. 

Overall, HIV-related deaths are highest in Kisumu, Mombasa, Kakamega, Turkana, and Nandi counties 

Deaths among teenagers and adolescents present one of the most urgent data points in the dashboard. Migori, Kiambu, Kitui, Machakos, and Kisii top the adolescent mortality chart; a deeply troubling signal that young people are not only acquiring HIV but dying from it, likely due to gaps in diagnosis, treatment initiation, and adherence support tailored to their age group.  

Overall, HIV-related deaths are highest in Kisumu, Mombasa, Kakamega, Turkana, and Nandi, counties that span diverse geographies and socioeconomic profiles, reinforcing that mortality risk is not confined to any single type of county. 

The 2025 HIV Prevalence and Mortality data delivers a clear and urgent message: while Kenya has made measurable progress in expanding treatment access, the epidemic continues to extract an unacceptable human cost particularly among children, adolescents, and communities in western Kenya.  

The disproportionate burden on young people in counties like Migori, Kiambu, and Machakos signals that the next generation remains critically at risk without accelerated, age-responsive interventions.  

Achieving Kenya’s commitment to the UNAIDS 95-95-95 HIV testing, treatment and viral suppression targets and an AIDS-free generation by 2030 will require far more than maintaining current programmes.  

Data analytics and visualisation by Stanley Njihia