Programme-wide
Cohort 2 in numbers
6,716
Applications received
3,161
Female applicants
47% of applications
3,555
Male applicants
53% of applications
358
Applicants with a disability
5% of applications
How applications break down
Age of applicants
6,716Applicants
View as table
| Age | Value | % |
|---|---|---|
| 18 to 24 | 1,942 | 29% |
| 25 to 30 | 2,846 | 42% |
| 31 to 35 | 1,928 | 29% |
| Not recorded | 0 | 0% |
| Applicants | 6,716 |
Solution stage
6,716Applications
View as table
| Stage | Value | % |
|---|---|---|
| Just an idea | 1,058 | 16% |
| Basic model or prototype | 1,215 | 18% |
| In use by the founder | 545 | 8% |
| Tested by other people | 2,151 | 32% |
| In market and earning | 1,747 | 26% |
| Not recorded | 0 | 0% |
| Applications | 6,716 |
Highest level of education
6,716Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 52 | 1% |
| Primary | 123 | 2% |
| Secondary | 1,693 | 25% |
| Technical or vocational | 468 | 7% |
| Bachelor's degree (HND, BSc) | 3,936 | 59% |
| Master's degree (MSc, MBA) | 192 | 3% |
| Doctorate (PhD) | 7 | <1% |
| Something else | 245 | 4% |
| Not recorded | 0 | 0% |
| Applicants | 6,716 |
Sectors applied in
Applications: 6,716
View as table
| Sector | Value | % |
|---|---|---|
| Fashion, textiles & beauty | 1,212 | 18% |
| Agriculture & agro-processing | 1,187 | 18% |
| Education, training & skills | 717 | 11% |
| Food & beverage | 554 | 8% |
| Information technology & software | 440 | 7% |
| Health & wellbeing | 372 | 6% |
| Arts, culture & creative industries | 242 | 4% |
| Livestock, fisheries & aquaculture | 239 | 4% |
| Other (specified by applicant) | 233 | 3% |
| Manufacturing & industrial production | 169 | 3% |
| Retail, trade & e-commerce | 163 | 2% |
| Energy & power | 145 | 2% |
| Construction & built environment | 118 | 2% |
| Media, publishing & entertainment | 108 | 2% |
| Financial services & insurance | 103 | 2% |
| Waste management & recycling | 97 | 1% |
| Logistics, transport & mobility | 93 | 1% |
| Environment & climate | 93 | 1% |
| Social services & community development | 83 | 1% |
| Hospitality & tourism | 61 | 1% |
| Telecommunications & connectivity | 54 | 1% |
| Water, sanitation & hygiene | 48 | 1% |
| Real estate & housing | 48 | 1% |
| Government, civic & public services | 33 | <1% |
| Security & safety | 28 | <1% |
| Mining, oil & gas | 27 | <1% |
| Legal & professional services | 17 | <1% |
| Research & development | 16 | <1% |
| Sports & recreation | 13 | <1% |
| Not recorded | 3 | <1% |
| Applications | 6,716 |
Applications by state
Applications: 6,716
View as table
| State | Value | % |
|---|---|---|
| Plateau | 1,598 | 24% |
| Taraba | 1,197 | 18% |
| Katsina | 1,099 | 16% |
| Niger | 862 | 13% |
| Akwa Ibom | 733 | 11% |
| Abia | 679 | 10% |
| Cross River | 548 | 8% |
| Applications | 6,716 |
Who applied, by state
Swipe across to see each state
Plateau
1,598Applications
208 applicants with a disability (13%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 824 | 52% |
| Male | 774 | 48% |
| Applications | 1,598 |
Taraba
1,197Applications
35 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 785 | 66% |
| Male | 412 | 34% |
| Applications | 1,197 |
Katsina
1,099Applications
36 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 394 | 36% |
| Male | 705 | 64% |
| Applications | 1,099 |
Niger
862Applications
25 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 302 | 35% |
| Male | 560 | 65% |
| Applications | 862 |
Akwa Ibom
733Applications
23 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 338 | 46% |
| Male | 395 | 54% |
| Applications | 733 |
Abia
679Applications
21 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 278 | 41% |
| Male | 401 | 59% |
| Applications | 679 |
Cross River
548Applications
10 applicants with a disability (2%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 240 | 44% |
| Male | 308 | 56% |
| Applications | 548 |
Top sectors in each state
Swipe across to see each state
Abia
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 119 | 18% |
| Education, training & skills | 91 | 13% |
| Fashion, textiles & beauty | 89 | 13% |
| Information technology & software | 71 | 10% |
| Health & wellbeing | 42 | 6% |
| Applications | 679 |
Akwa Ibom
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 126 | 17% |
| Education, training & skills | 91 | 12% |
| Fashion, textiles & beauty | 86 | 12% |
| Information technology & software | 65 | 9% |
| Health & wellbeing | 49 | 7% |
| Applications | 733 |
Cross River
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 95 | 17% |
| Fashion, textiles & beauty | 82 | 15% |
| Education, training & skills | 61 | 11% |
| Health & wellbeing | 43 | 8% |
| Food & beverage | 40 | 7% |
| Applications | 548 |
Katsina
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 227 | 21% |
| Education, training & skills | 136 | 12% |
| Fashion, textiles & beauty | 134 | 12% |
| Health & wellbeing | 84 | 8% |
| Information technology & software | 82 | 7% |
| Applications | 1,099 |
Niger
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 178 | 21% |
| Fashion, textiles & beauty | 107 | 12% |
| Education, training & skills | 103 | 12% |
| Information technology & software | 69 | 8% |
| Health & wellbeing | 60 | 7% |
| Applications | 862 |
Plateau
View as table
| Sector | Value | % |
|---|---|---|
| Fashion, textiles & beauty | 386 | 24% |
| Agriculture & agro-processing | 240 | 15% |
| Food & beverage | 152 | 10% |
| Education, training & skills | 133 | 8% |
| Information technology & software | 72 | 5% |
| Applications | 1,598 |
Taraba
View as table
| Sector | Value | % |
|---|---|---|
| Fashion, textiles & beauty | 328 | 27% |
| Agriculture & agro-processing | 202 | 17% |
| Food & beverage | 189 | 16% |
| Education, training & skills | 102 | 9% |
| Arts, culture & creative industries | 73 | 6% |
| Applications | 1,197 |
Education and literacy spread, by state
Swipe across to see each state
Abia
679Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 1 | <1% |
| Secondary | 152 | 22% |
| Technical or vocational | 33 | 5% |
| Bachelor's degree (HND, BSc) | 460 | 68% |
| Master's degree (MSc, MBA) | 14 | 2% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 18 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 679 |
Akwa Ibom
733Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 1 | <1% |
| Secondary | 129 | 18% |
| Technical or vocational | 25 | 3% |
| Bachelor's degree (HND, BSc) | 534 | 73% |
| Master's degree (MSc, MBA) | 23 | 3% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 20 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 733 |
Cross River
548Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 1 | <1% |
| Secondary | 96 | 18% |
| Technical or vocational | 30 | 5% |
| Bachelor's degree (HND, BSc) | 377 | 69% |
| Master's degree (MSc, MBA) | 24 | 4% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 18 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 548 |
Katsina
1,099Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 1 | <1% |
| Secondary | 156 | 14% |
| Technical or vocational | 144 | 13% |
| Bachelor's degree (HND, BSc) | 698 | 64% |
| Master's degree (MSc, MBA) | 34 | 3% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 65 | 6% |
| Not recorded | 0 | 0% |
| Applicants | 1,099 |
Niger
862Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 2 | <1% |
| Secondary | 143 | 17% |
| Technical or vocational | 59 | 7% |
| Bachelor's degree (HND, BSc) | 581 | 67% |
| Master's degree (MSc, MBA) | 36 | 4% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 39 | 5% |
| Not recorded | 0 | 0% |
| Applicants | 862 |
Plateau
1,598Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 27 | 2% |
| Primary | 70 | 4% |
| Secondary | 562 | 35% |
| Technical or vocational | 104 | 7% |
| Bachelor's degree (HND, BSc) | 747 | 47% |
| Master's degree (MSc, MBA) | 41 | 3% |
| Doctorate (PhD) | 3 | <1% |
| Something else | 44 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 1,598 |
Taraba
1,197Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 22 | 2% |
| Primary | 47 | 4% |
| Secondary | 455 | 38% |
| Technical or vocational | 73 | 6% |
| Bachelor's degree (HND, BSc) | 539 | 45% |
| Master's degree (MSc, MBA) | 20 | 2% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 41 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 1,197 |