Data-driven analysis of Kenya's elections from 2007 to 2022
Showing 1-12 of 412 posts
A county-grounded brief for Garissa using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressure, regi...
Data-backed campaign playbook for MOMBASA: turnout trajectory, registration depth, margin risk, and how to plan agents a...
A county-grounded brief for Embu using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressure, registr...
A county-grounded brief for Elgeyo/Marakwet using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressu...
Nandi (91.30% Ruto, 3rd highest nationally) and Baringo (80.69% Ruto) represent the deep Rift Valley vote. But the 11-po...
A county-grounded brief for Busia using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressure, regist...
A deeper demographic and operations brief on gender balance and turnout discipline with practical steps for 2027 electio...
A county-grounded brief for Bungoma using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressure, regi...
A county-grounded brief for Bomet using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressure, regist...
Data-backed campaign playbook for BUNGOMA: turnout trajectory, registration depth, margin risk, and how to plan agents a...
A county-grounded brief for Baringo using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressure, regi...
A county-grounded brief for West Pokot using 2013, 2017, and 2022 data to map 2027 risks: turnout, coalition pressure, r...