Babu Owino most preferred Luo Kingpin - Poll

Embakasi East MP Babu Owino during a past event/BABU OWILI

Embakasi East MP Babu Owino is the most preferred Luo Kingpin, a new poll has revealed. 

Infortrak poll released on December 28, showed most respondents perceive Babu Owino as the best successor to late former Prime Minister Raila Odinga. 

Babu Owino was the favourite pick of 33 per cent of the respondents, followed by Siaya Senator and ODM party leader Oburu Odinga with 10 percent. 

The end of year poll was conducted on December 19 and 20, 2025. 

Other names in the list were Homa Bay Governor Gladys Wanga with seven percent, Siaya Govenor James Orengo with four percent and, Energy CS Opiyo Wandayi and Interior PS Raymond Omolo both with two percent of the votes. Several others were voted with one percent.

These included Treasury CS John Mbadi, Kisumu Govenor Anyang' Nyong'o, lawyer Miguna Miguna, EALA MP Winnie Odinga and Migori Governor Ochilo Ayacko. Infortrak said 37 percent of the respondents were not sure.

Despite his popularity among the Luo, the poll shows that only seven percent of Kenyans would vote for Babu Owino if elections were held today. The poll was sponsored and financed by Infotrak Research & Consulting Limited.

The quantitative interviews were conducted through Computer Assisted Telephone Interviews (CATI). The survey sample achieved was 1000 to represent the universe of adult Kenyans who were 18 years and above at the time of the survey.

The sampling frame was designed using Population Proportionate to size (PPS) guided by the 2019 Census. Infotrak said the margin of error was +/- 3.10 percent at 95 percent degree of confidence.

The response rate was at 99 per cent.

"Where the achieved interviews differed slightly from the intended sampled proportions per demographic group, the dataset was weighted to correct for over or under sampling thus ensuring the sample was proportionately representative of the target population," the firm said.

The survey covered all the 47 counties and regions of Kenya.

To ensure national representativeness, the distribution of the survey sample across the regions was proportionately allocated.

Data was processed and analyzed using SPSS 27 statistical software due to its high accuracy and reliability.