Kirinyaga Woman Representative Jane Njeri Maina has been
ranked top performer in the latest survey by Infotrak dubbed CountyTrak
performance
Njeri who is serving her first term in office scored 52 per
cent in the ranking to emerge top yet again.
“I’m deeply humbled to be ranked as the best performing
Woman Representative for the second year in a row,” she told the Star.
“From the data, it’s
clear that Kenyans still don’t comprehend the role of Woman Representatives and
more civic engagement ought to be done by the 47 county MPs and other gender
organizations.”
Njeri credited the impressive performance in the latest
survey to several programmes she has rolled out in her county such as Tupange Kesho.
“We have a very robust Tupange Kesho program that focuses on
education - where we give full scholarships to total orphans and children from
child-headed families,” she said.
“We proceed to further sponsor those who don’t attain university
entry grades for TVET courses and diploma courses.”
The ranking comes weeks after a Parliamentary scorecard
report released by Mzalendo ranked the MP the most vocal youth speaker in the
National Assembly for the year 2024.
According to Mzalendo, the MP contributed to debates and
other issues of national importance 37 times.
The performance was exclusively determined by the number of
times individual MPs speak in Parliament (speech counts) and as captured in the
Parliamentary Hansard, the official Parliamentary record.
In the same Infotrak survey, Makueni County MP Rose Museo Mumo was second with a 46 per cent rating, a position she tied with her Homa Bay counterpart Bensuda Osogo Atieno.
Kakamega woman rep Elsie Muhanda was the fourth-best performer
with a rating of 45 per cent.
West Pokot county MP
Rael Chepkemoi and her Kisumu Counterpart Ruth Odinga tied for the fifth spot
with a rating of 43 per cent.
The interviews for the survey were conducted between October
– December 2024 covering all 47 counties with a sample size of 39,795.
Data was collected through Computer Assisted Telephone
Interviews (CATI) and analysed using SPSS.
The questionnaire was structured using 1-10 Likert scale
being applied on each indicator where 1 was very poor and 10 was excellent.
The mean was computed for each Sub-Indicator of the Key
Performance Indicators (KPI) to get the Index for that Specific KPI.
The Overall County performance Index was then computed by
taking the average of the KPIs.