Business – InfoTrak https://www.infotrakresearch.com The leading Market & Social research firm in Africa Mon, 27 Jul 2026 14:16:04 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.10 https://www.infotrakresearch.com/wp-content/uploads/2021/02/faviconn.png Business – InfoTrak https://www.infotrakresearch.com 32 32 248915407 Infotrak Poll on Public Perceptions of the Nyota Programme https://www.infotrakresearch.com/auto-draft-3/ https://www.infotrakresearch.com/auto-draft-3/#respond Tue, 03 Feb 2026 06:29:45 +0000 https://www.infotrakresearch.com/?p=2682
InfoTrak Research & Consulting · January 2026

Infotrak VOP Poll: Awareness and Perceptions of the Nyota Programme

A nationally representative CATI survey of 800 adult Kenyans measuring public awareness, engagement, and perceptions of the Nyota Fund Programme — its objectives, eligibility criteria, process transparency, and the adequacy of its startup grant.

800
Respondents
47
Counties Covered
±3.46%
Margin of Error
78%
Aware of Nyota Fund

Methodology

Data Collection

Quantitative interviews were conducted through Computer Assisted Telephone Interviews (CATI) on 24th January 2026.

The survey sample achieved was 800, representing the universe of adult Kenyans 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.

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, ensuring the sample was proportionately representative of the target population.

Coverage & Analysis

The survey covered all 47 counties and 8 regions of Kenya. To ensure national representativeness, the distribution of the survey sample across the regions was proportionately allocated.

The margin of error was ±3.46% at a 95% degree of confidence, with a 100% response rate.

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

Who Sponsored the Poll

The poll was sponsored and financed by Infotrak Research & Consulting Limited.

Region Population (Millions) Regional Proportions Achieved Sample per Region
Coast 2.3 9% 65
North Eastern 1.0 4% 16
Eastern 3.9 15% 120
Central 3.4 13% 123
Rift Valley 6.6 26% 200
Western 2.5 10% 79
Nyanza 3.2 12% 109
Nairobi City 2.9 11% 88
Total 25.7 100% 800
Awareness of the Nyota Fund Programme
78%

Yes — 78%
No — 20%
Not sure — 3%
Region Yes No Not sure
Coast 85% 12% 3%
North Eastern 71% 29% 0%
Eastern 88% 12% 1%
Central 75% 24% 2%
Rift Valley 75% 20% 4%
Western 69% 29% 3%
Nyanza 79% 19% 2%
Nairobi 75% 19% 7%
Total 78% 20% 3%
Segment Yes No Not sure
Under Ksh 50k 78% 20% 3%
Ksh 50k+ 78% 20% 2%
Public Sector 79% 20% 1%
Private Sector 80% 17% 3%
Freelance – Gig Economy 80% 13% 7%
Unemployed 74% 22% 3%
Self employed 78% 20% 2%
Total 78% 20% 3%
Key Objectives of the Nyota Fund According to the Public
65%

Grants to start business — 65%
Training & mentorship for youth — 19%
Savings & Financial Inclusion — 4%
Don't Know / Not sure — 12%
Region Grants to start business Training & mentorship Savings & Financial Inclusion Don't Know / Not sure
Coast 64% 6% 11% 19%
North Eastern 35% 41% – 25%
Eastern 68% 10% 8% 13%
Central 54% 34% – 12%
Rift Valley 73% 13% 1% 12%
Western 56% 37% 4% 4%
Nyanza 60% 19% 6% 14%
Nairobi 80% 13% 2% 6%
Total 65% 19% 4% 12%
Segment Grants to start business Training & mentorship Savings & Financial Inclusion Don't Know / Not sure
Under Ksh 50k 65% 19% 4% 12%
Ksh 50k+ 66% 16% 9% 9%
Public Sector 48% 24% 6% 22%
Private Sector 63% 18% 5% 14%
Freelance – Gig Economy 72% 6% 10% 12%
Unemployed 66% 19% 3% 11%
Self employed 71% 18% 2% 8%
Total 65% 19% 4% 12%
Engagement with the Nyota Fund Programme
36%

Yes — 36%
No — 52%
Applied but not selected — 11%
Region Yes No Applied but not selected
Coast 22% 64% 14%
North Eastern 25% 67% 8%
Eastern 24% 65% 11%
Central 39% 47% 14%
Rift Valley 39% 50% 11%
Western 57% 34% 9%
Nyanza 41% 50% 9%
Nairobi 37% 51% 12%
Total 36% 52% 11%
Segment Yes No Applied but not selected
Under Ksh 50k 37% 52% 12%
Ksh 50k+ 32% 60% 8%
Public Sector 35% 57% 7%
Private Sector 34% 51% 15%
Freelance – Gig Economy 32% 62% 5%
Unemployed 35% 52% 13%
Self employed 40% 50% 9%
Total 36% 52% 11%
Perceived Fairness of Nyota Fund Eligibility Criteria
44%

Yes — 44%
No — 46%
Not sure — 10%
Region Yes No Not sure
Coast 36% 56% 7%
North Eastern 58% 33% 8%
Eastern 35% 52% 13%
Central 50% 41% 8%
Rift Valley 45% 44% 10%
Western 56% 37% 7%
Nyanza 44% 48% 8%
Nairobi 40% 50% 10%
Total 44% 46% 10%
Segment Yes No Not sure
Under Ksh 50k 44% 46% 9%
Ksh 50k+ 40% 48% 12%
Public Sector 56% 39% 4%
Private Sector 40% 53% 7%
Freelance – Gig Economy 45% 48% 7%
Unemployed 43% 42% 15%
Self employed 44% 48% 8%
Total 44% 46% 10%
Effectiveness of In-Person Validation in the Nyota Fund
57%

Yes — 57%
No — 32%
Not sure — 11%
Region Yes No Not sure
Coast 40% 42% 18%
North Eastern 67% 25% 8%
Eastern 49% 38% 12%
Central 53% 42% 4%
Rift Valley 59% 28% 13%
Western 71% 19% 11%
Nyanza 66% 23% 10%
Nairobi 56% 32% 12%
Total 57% 32% 11%
Segment Yes No Not sure
Under Ksh 50k 57% 31% 11%
Ksh 50k+ 50% 38% 12%
Public Sector 57% 30% 13%
Private Sector 56% 30% 14%
Freelance – Gig Economy 51% 46% 3%
Unemployed 52% 32% 16%
Self employed 62% 32% 6%
Total 57% 32% 11%
Priority Groups for Nyota Fund Support
Unemployed youth
44%
Youth with business ideas regardless of education
26%
People living with disabilities (PWDs)
19%
Informal sector e.g. jua kali
7%
Graduates
4%
Region Unemployed youth Youth w/ business ideas PWDs Informal sector Graduates
Coast 52% 27% 19% 2% –
North Eastern 55% 9% 19% 18% –
Eastern 41% 28% 17% 6% 8%
Central 48% 16% 26% 10% –
Rift Valley 45% 35% 13% 6% 1%
Western 37% 31% 23% 4% 5%
Nyanza 43% 17% 30% 5% 5%
Nairobi 38% 25% 14% 15% 8%
Total 44% 26% 19% 7% 4%
Segment Unemployed youth Youth w/ business ideas PWDs Informal sector Graduates
Under Ksh 50k 44% 26% 21% 6% 4%
Ksh 50k+ 45% 31% 5% 14% 5%
Public Sector 61% 19% 8% 11% –
Private Sector 44% 33% 16% 4% 3%
Freelance – Gig Economy 37% 20% 28% 3% 12%
Unemployed 42% 28% 20% 5% 4%
Self employed 41% 22% 23% 10% 3%
Total 44% 26% 19% 7% 4%
Public Assessment of Nyota Fund Process Transparency
25%

Very transparent — 25%
Somewhat transparent — 32%
Not transparent — 31%
Don't know — 11%
Region Very transparent Somewhat transparent Not transparent Don't know
Coast 20% 23% 42% 15%
North Eastern 16% 33% 34% 17%
Eastern 16% 34% 35% 15%
Central 21% 37% 31% 11%
Rift Valley 30% 29% 29% 12%
Western 38% 36% 21% 5%
Nyanza 22% 29% 39% 9%
Nairobi 34% 40% 21% 6%
Total 25% 32% 31% 11%
Segment Very transparent Somewhat transparent Not transparent Don't know
Under Ksh 50k 25% 33% 31% 11%
Ksh 50k+ 24% 26% 35% 16%
Public Sector 33% 21% 34% 12%
Private Sector 20% 34% 37% 9%
Freelance – Gig Economy 25% 31% 33% 11%
Unemployed 29% 30% 28% 13%
Self employed 23% 37% 30% 10%
Total 25% 32% 31% 11%
Sufficiency of the Nyota Fund Startup Grant
77%

Yes — enough to begin — 77%
No — too small for real impact — 19%
Not sure — 3%
Region Yes – enough to begin No – too small Not sure
Coast 66% 32% 2%
North Eastern 66% 26% 8%
Eastern 75% 19% 7%
Central 76% 21% 2%
Rift Valley 84% 14% 2%
Western 72% 22% 5%
Nyanza 78% 20% 2%
Nairobi 84% 13% 3%
Total 77% 19% 3%
Segment Yes – enough to begin No – too small Not sure
Under Ksh 50k 79% 18% 3%
Ksh 50k+ 62% 36% 2%
Public Sector 72% 27% 1%
Private Sector 75% 23% 1%
Freelance – Gig Economy 67% 25% 8%
Unemployed 80% 16% 4%
Self employed 80% 16% 4%
Total 77% 19% 3%
Survey Demographics

Age distribution

18-25 Yrs
14%
26-35 Yrs
50%
36-45 Yrs
21%
46+ Yrs
15%

Employment status

Self employed
31%
Unemployed
31%
Private Sector
22%
Public Sector
11%
Freelance – Gig Economy
6%
Gender

Male — 51%
Female — 49%
Income Bands

Under Ksh 50k — 92%
Ksh 50k+ — 8%
Infotrak VOP Poll: Awareness and Perceptions of the Nyota Programme · InfoTrak Research & Consulting, 2026

]]> https://www.infotrakresearch.com/auto-draft-3/feed/ 0 2682 CBC Under the Spotlight https://www.infotrakresearch.com/auto-draft-2/ https://www.infotrakresearch.com/auto-draft-2/#respond Thu, 29 Jan 2026 12:11:33 +0000 https://www.infotrakresearch.com/?p=2661
InfoTrak Research & Consulting · January 2026

CBC/CBE Poll Release

A nationally representative telephone survey of Kenyan adults on the Competency-Based Curriculum/Competency-Based Education (CBC/CBE) reform, covering perceived quality of education, challenges in the transition to Senior Secondary, satisfaction with the CBC grading system, and public views on secondary school uniforms.

1,000
Respondents
47
Counties
±3.10%
Margin of Error

Methodology

Data Collection

The poll was sponsored and financed by Infotrak Research & Consulting Limited.

Quantitative interviews were conducted through Computer Assisted Telephone Interviews (CATI) between December 2025 and January 2026.

The survey covered all 47 counties and 8 regions of Kenya, with the sample proportionately allocated across the regions to ensure national representativeness.

Sample & Precision

The survey sample achieved was 1,000, representing the universe of adult Kenyans aged 18 years and above at the time of the survey, using a Population Proportionate to Size (PPS) sampling frame guided by the 2019 Census.

The margin of error was ±3.10% at a 95% degree of confidence, with a 99% response rate.

Where achieved interviews differed slightly from intended sampled proportions per demographic group, the dataset was weighted to correct for over- or under-sampling. Data was processed and analyzed using SPSS 27 statistical software.

Region Adult Population (M) Sample Proportion Achieved Sample
Coast 2.3 9% 91
North Eastern 1.0 4% 40
Eastern 3.9 15% 150
Central 3.4 13% 134
Rift Valley 6.6 26% 255
Western 2.5 10% 96
Nyanza 3.2 12% 123
Nairobi City 2.9 11% 111
Total 25.7 100% 1000

Perceived Quality of Education Since CBC/CBE Introduction

How would you rate the overall quality of education in Kenya today since the introduction of CBC/CBE?

National results

49%

Better — 49%
Worse — 33%
About the same — 18%
Response Coast North Eastern Eastern Central Rift Valley Western Nyanza Nairobi Total
Better 35% 78% 43% 43% 54% 60% 52% 42% 49%
About the same 15% 7% 19% 18% 20% 11% 24% 21% 18%
Worse 50% 15% 38% 39% 27% 29% 25% 36% 33%

Challenges Facing the Transition to Senior Secondary

What challenges, if any, do you think learners or parents are facing during this transition to Senior Secondary? (n = 1,000)

National results

39%

High cost of education (school fees, uniforms) — 39%
Lack of adequate information or guidance on the new system — 19%
Don't Know — 19%
Lack of School Fees — 13%
Uncertainty about student placement — 4%
Inadequate learning facilities, infrastructure and teachers — 2%
Psychological stress or anxiety among learners — 2%
Inadequate learning materials — 2%
Challenge Coast North Eastern Eastern Central Rift Valley Western Nyanza Nairobi Total
High cost of education (school fees, uniforms) 37% 37% 41% 39% 39% 38% 38% 43% 39%
Lack of adequate information or guidance on the new system 27% 22% 23% 17% 18% 23% 9% 14% 19%
Lack of School Fees 10% 10% 8% 19% 13% 11% 19% 9% 13%
Uncertainty about student placement 3% 12% 7% 2% 5% 3% 4% 2% 4%
Inadequate learning facilities, infrastructure and teachers – – 4% 5% 2% 2% 2% – 2%
Psychological stress or anxiety among learners 1% – 1% 1% 4% 1% 2% 4% 2%
Inadequate learning materials 1% 2% 1% 1% 3% 2% 2% 2% 2%
Don't Know 21% 17% 14% 17% 15% 19% 24% 27% 19%

Level of Satisfaction with the CBC Grading System

Are you satisfied or dissatisfied with the CBC grading system of Exceeds Expectation, Meets Expectation, Approaching Expectation, and Below Expectation? (n = 1,000)

National results

38%

Yes — 38%
No — 45%
I Don't Know — 17%
Response Coast North Eastern Eastern Central Rift Valley Western Nyanza Nairobi Total
Yes 23% 80% 32% 30% 42% 46% 38% 37% 38%
No 55% 12% 50% 48% 43% 35% 47% 49% 45%
I Don't Know 22% 7% 19% 22% 15% 19% 15% 14% 17%

Public Views on Making Secondary School Uniforms Optional

Do you think the government should do away with the uniform requirements for secondary school? (n = 800)

National results

34%

Yes — 34%
No — 63%
Don't Know — 3%
Response Coast North Eastern Eastern Central Rift Valley Western Nyanza Nairobi Total
Yes 34% 36% 30% 43% 51% 34% 27% 34% 34%
No 64% 59% 68% 53% 40% 64% 73% 63% 63%
Not Sure 2% 5% 2% 5% 9% 2% 1% 3% 3%

Survey Demographics

Profile of the 1,000 respondents interviewed.

Age

18-26 yrs: 11%

27-35 yrs: 36%

36-45 yrs: 31%

46-55 yrs: 14%

55+ yrs: 8%

Gender

Male: 51%

Female: 49%

Religion

Christian: 55%

Catholic: 33%

Islam: 8%

None: 3%

Employment

Self-employed: 44%

Unemployed: 26%

Casually employed: 20%

Formally employed: 9%

Prefer not to answer: 1%

Level of Education

Secondary: 45%

Tertiary College: 22%

Primary: 20%

University/Post-graduate: 12%

None: 2%

CBC/CBE Poll Release · InfoTrak Research & Consulting, January 2026

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