Murang'a Governor Irungu Kang'ata has been ranked the best-performing county governor in Kenya according to the recent Infotrak Governor Performance Index. Kang'ata achieved an 80 percent score, placing him ahead of his peers nationwide.

Following closely is Trans Nzoia Governor George Natembeya, who scored 76 percent. Kiambu Governor Kimani Wamatangi took third place with 71 percent. Homa Bay Governor Gladys Wanga and Makueni Governor Mutula Kilonzo Jr. tied for fourth, each earning 66 percent.

The survey also highlighted several other governors in the top rankings:

  • Elgeyo Marakwet Governor Wesley Rotich, Kisumu Governor Anyang' Nyong'o, and West Pokot Governor Simon Kachapin tied for sixth with 65 percent each.
  • Kisii Governor Simba Arati and Samburu Governor Jonathan Lelelit shared ninth place with 63 percent.
  • Narok Governor Patrick Ole Ntutu was 11th with 61 percent, followed by Tharaka Nithi Governor Muthomi Njuki at 60 percent.
  • Kirinyaga Governor Anne Waiguru ranked 13th with 58 percent, with Taita Taveta Governor Andrew Mwadime close behind at 57 percent.
  • Several governors, including Kitui's Julius Malombe and Mandera's Mohamed Adan Khalif, shared 15th place at 56 percent.
  • The 19th position was shared by Embu, Kilifi, Migori, Turkana, and Wajir governors, each scoring 55 percent.
  • Mombasa Governor Abdulswamad Nassir, Machakos Governor Wavinya Ndeti, and Garissa Governor Nathif Jama rounded out the top 25 with 54 percent each.

The index evaluated governors across six critical areas: delivery on campaign promises, transparency and accountability, visible development and public benefit, stewardship of public funds, accessibility and responsiveness to citizens, and media presence and visibility.

The survey was conducted over five months, from January to May 2026, covering all 47 counties, 290 constituencies, and 1,450 wards. It sampled 36,200 respondents, with sample sizes per county adjusted according to population and ward numbers. Data collection employed Computer Assisted Telephone Interviews (CATI) and analysis was performed using SPSS software. The sampling methodology was informed by census data and considered demographic factors such as age and gender.