Programme-wide
Cohort 2 in numbers
3,354
Applications received
1,235
Female applicants
37% of applications
2,119
Male applicants
63% of applications
103
Applicants with a disability
3% of applications
How applications break down
Age of applicants
3,354Applicants
View as table
| Age | Value | % |
|---|---|---|
| 18 to 24 | 895 | 27% |
| 25 to 30 | 1,527 | 46% |
| 31 to 35 | 932 | 28% |
| Not recorded | 0 | 0% |
| Applicants | 3,354 |
Solution stage
3,354Applications
View as table
| Stage | Value | % |
|---|---|---|
| Just an idea | 574 | 17% |
| Basic model or prototype | 768 | 23% |
| In use by the founder | 297 | 9% |
| Tested by other people | 1,001 | 30% |
| In market and earning | 714 | 21% |
| Not recorded | 0 | 0% |
| Applications | 3,354 |
Highest level of education
3,354Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 3 | <1% |
| Primary | 5 | <1% |
| Secondary | 504 | 15% |
| Technical or vocational | 218 | 6% |
| Bachelor's degree (HND, BSc) | 2,389 | 71% |
| Master's degree (MSc, MBA) | 129 | 4% |
| Doctorate (PhD) | 2 | <1% |
| Something else | 104 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 3,354 |
Sectors applied in
Applications: 3,354
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 695 | 21% |
| Education, training & skills | 396 | 12% |
| Fashion, textiles & beauty | 371 | 11% |
| Information technology & software | 281 | 8% |
| Health & wellbeing | 225 | 7% |
| Food & beverage | 152 | 5% |
| Livestock, fisheries & aquaculture | 131 | 4% |
| Other (specified by applicant) | 119 | 4% |
| Retail, trade & e-commerce | 96 | 3% |
| Energy & power | 91 | 3% |
| Manufacturing & industrial production | 90 | 3% |
| Arts, culture & creative industries | 87 | 3% |
| Waste management & recycling | 69 | 2% |
| Media, publishing & entertainment | 67 | 2% |
| Financial services & insurance | 64 | 2% |
| Logistics, transport & mobility | 60 | 2% |
| Environment & climate | 54 | 2% |
| Construction & built environment | 50 | 1% |
| Social services & community development | 49 | 1% |
| Hospitality & tourism | 34 | 1% |
| Real estate & housing | 32 | 1% |
| Telecommunications & connectivity | 28 | 1% |
| Water, sanitation & hygiene | 25 | 1% |
| Security & safety | 21 | 1% |
| Government, civic & public services | 18 | 1% |
| Legal & professional services | 14 | <1% |
| Mining, oil & gas | 13 | <1% |
| Research & development | 11 | <1% |
| Sports & recreation | 8 | <1% |
| Not recorded | 3 | <1% |
| Applications | 3,354 |
Applications by state
Applications: 3,354
View as table
| State | Value | % |
|---|---|---|
| Niger | 649 | 19% |
| Katsina | 646 | 19% |
| Akwa Ibom | 603 | 18% |
| Abia | 459 | 14% |
| Plateau | 430 | 13% |
| Cross River | 286 | 9% |
| Taraba | 281 | 8% |
| Applications | 3,354 |
Who applied, by state
Niger
649Applications
19 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 217 | 33% |
| Male | 432 | 67% |
| Applications | 649 |
Katsina
646Applications
25 applicants with a disability (4%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 243 | 38% |
| Male | 403 | 62% |
| Applications | 646 |
Akwa Ibom
603Applications
20 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 274 | 45% |
| Male | 329 | 55% |
| Applications | 603 |
Abia
459Applications
14 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 193 | 42% |
| Male | 266 | 58% |
| Applications | 459 |
Plateau
430Applications
12 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 149 | 35% |
| Male | 281 | 65% |
| Applications | 430 |
Cross River
286Applications
7 applicants with a disability (2%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 102 | 36% |
| Male | 184 | 64% |
| Applications | 286 |
Taraba
281Applications
6 applicants with a disability (2%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 57 | 20% |
| Male | 224 | 80% |
| Applications | 281 |
Top sectors in each state
Abia
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 83 | 18% |
| Education, training & skills | 60 | 13% |
| Fashion, textiles & beauty | 53 | 12% |
| Information technology & software | 49 | 11% |
| Health & wellbeing | 27 | 6% |
| Applications | 459 |
Akwa Ibom
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 101 | 17% |
| Fashion, textiles & beauty | 75 | 12% |
| Education, training & skills | 72 | 12% |
| Information technology & software | 53 | 9% |
| Health & wellbeing | 38 | 6% |
| Applications | 603 |
Cross River
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 47 | 16% |
| Education, training & skills | 43 | 15% |
| Fashion, textiles & beauty | 29 | 10% |
| Health & wellbeing | 26 | 9% |
| Information technology & software | 18 | 6% |
| Applications | 286 |
Katsina
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 141 | 22% |
| Fashion, textiles & beauty | 75 | 12% |
| Education, training & skills | 57 | 9% |
| Information technology & software | 56 | 9% |
| Health & wellbeing | 43 | 7% |
| Applications | 646 |
Niger
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 141 | 22% |
| Education, training & skills | 81 | 12% |
| Fashion, textiles & beauty | 75 | 12% |
| Information technology & software | 48 | 7% |
| Health & wellbeing | 42 | 6% |
| Applications | 649 |
Plateau
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 94 | 22% |
| Education, training & skills | 50 | 12% |
| Fashion, textiles & beauty | 42 | 10% |
| Information technology & software | 30 | 7% |
| Health & wellbeing | 29 | 7% |
| Applications | 430 |
Taraba
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 88 | 31% |
| Education, training & skills | 33 | 12% |
| Information technology & software | 27 | 10% |
| Fashion, textiles & beauty | 22 | 8% |
| Health & wellbeing | 20 | 7% |
| Applications | 281 |
Education and literacy spread, by state
Abia
459Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 1 | <1% |
| Secondary | 94 | 20% |
| Technical or vocational | 23 | 5% |
| Bachelor's degree (HND, BSc) | 319 | 69% |
| Master's degree (MSc, MBA) | 10 | 2% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 12 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 459 |
Akwa Ibom
603Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 1 | <1% |
| Secondary | 110 | 18% |
| Technical or vocational | 17 | 3% |
| Bachelor's degree (HND, BSc) | 436 | 72% |
| Master's degree (MSc, MBA) | 22 | 4% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 16 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 603 |
Cross River
286Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 0 | 0% |
| Secondary | 47 | 16% |
| Technical or vocational | 13 | 5% |
| Bachelor's degree (HND, BSc) | 199 | 70% |
| Master's degree (MSc, MBA) | 15 | 5% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 11 | 4% |
| Not recorded | 0 | 0% |
| Applicants | 286 |
Katsina
646Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 1 | <1% |
| Secondary | 70 | 11% |
| Technical or vocational | 78 | 12% |
| Bachelor's degree (HND, BSc) | 449 | 70% |
| Master's degree (MSc, MBA) | 20 | 3% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 27 | 4% |
| Not recorded | 0 | 0% |
| Applicants | 646 |
Niger
649Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 2 | <1% |
| Secondary | 98 | 15% |
| Technical or vocational | 46 | 7% |
| Bachelor's degree (HND, BSc) | 447 | 69% |
| Master's degree (MSc, MBA) | 32 | 5% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 22 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 649 |
Plateau
430Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 0 | 0% |
| Secondary | 56 | 13% |
| Technical or vocational | 24 | 6% |
| Bachelor's degree (HND, BSc) | 322 | 75% |
| Master's degree (MSc, MBA) | 19 | 4% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 9 | 2% |
| Not recorded | 0 | 0% |
| Applicants | 430 |
Taraba
281Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 0 | 0% |
| Secondary | 29 | 10% |
| Technical or vocational | 17 | 6% |
| Bachelor's degree (HND, BSc) | 217 | 77% |
| Master's degree (MSc, MBA) | 11 | 4% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 7 | 2% |
| Not recorded | 0 | 0% |
| Applicants | 281 |