Programme-wide
Cohort 2 in numbers
3,271
Applications received
1,206
Female applicants
37% of applications
2,065
Male applicants
63% of applications
103
Applicants with a disability
3% of applications
How applications break down
Age of applicants
3,271Applicants
View as table
| Age | Value | % |
|---|---|---|
| 18 to 24 | 866 | 26% |
| 25 to 30 | 1,496 | 46% |
| 31 to 35 | 909 | 28% |
| Not recorded | 0 | 0% |
| Applicants | 3,271 |
Solution stage
3,271Applications
View as table
| Stage | Value | % |
|---|---|---|
| Just an idea | 565 | 17% |
| Basic model or prototype | 747 | 23% |
| In use by the founder | 287 | 9% |
| Tested by other people | 977 | 30% |
| In market and earning | 695 | 21% |
| Not recorded | 0 | 0% |
| Applications | 3,271 |
Highest level of education
3,271Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 3 | <1% |
| Primary | 5 | <1% |
| Secondary | 488 | 15% |
| Technical or vocational | 211 | 6% |
| Bachelor's degree (HND, BSc) | 2,338 | 71% |
| Master's degree (MSc, MBA) | 127 | 4% |
| Doctorate (PhD) | 2 | <1% |
| Something else | 97 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 3,271 |
Sectors applied in
Applications: 3,271
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 675 | 21% |
| Education, training & skills | 386 | 12% |
| Fashion, textiles & beauty | 360 | 11% |
| Information technology & software | 279 | 9% |
| Health & wellbeing | 217 | 7% |
| Food & beverage | 150 | 5% |
| Livestock, fisheries & aquaculture | 128 | 4% |
| Other (specified by applicant) | 119 | 4% |
| Retail, trade & e-commerce | 95 | 3% |
| Energy & power | 90 | 3% |
| Manufacturing & industrial production | 85 | 3% |
| Arts, culture & creative industries | 81 | 2% |
| Waste management & recycling | 68 | 2% |
| Media, publishing & entertainment | 67 | 2% |
| Financial services & insurance | 63 | 2% |
| Logistics, transport & mobility | 58 | 2% |
| Environment & climate | 54 | 2% |
| Construction & built environment | 50 | 2% |
| Social services & community development | 47 | 1% |
| Hospitality & tourism | 33 | 1% |
| Real estate & housing | 32 | 1% |
| Telecommunications & connectivity | 28 | 1% |
| Water, sanitation & hygiene | 25 | 1% |
| Security & safety | 19 | 1% |
| Government, civic & public services | 16 | <1% |
| Legal & professional services | 13 | <1% |
| Mining, oil & gas | 12 | <1% |
| Research & development | 11 | <1% |
| Sports & recreation | 7 | <1% |
| Not recorded | 3 | <1% |
| Applications | 3,271 |
Applications by state
Applications: 3,271
View as table
| State | Value | % |
|---|---|---|
| Katsina | 640 | 20% |
| Niger | 630 | 19% |
| Akwa Ibom | 589 | 18% |
| Abia | 447 | 14% |
| Plateau | 419 | 13% |
| Cross River | 275 | 8% |
| Taraba | 271 | 8% |
| Applications | 3,271 |
Who applied, by state
Katsina
640Applications
25 applicants with a disability (4%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 241 | 38% |
| Male | 399 | 62% |
| Applications | 640 |
Niger
630Applications
19 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 211 | 33% |
| Male | 419 | 67% |
| Applications | 630 |
Akwa Ibom
589Applications
20 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 267 | 45% |
| Male | 322 | 55% |
| Applications | 589 |
Abia
447Applications
14 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 190 | 43% |
| Male | 257 | 57% |
| Applications | 447 |
Plateau
419Applications
12 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 144 | 34% |
| Male | 275 | 66% |
| Applications | 419 |
Cross River
275Applications
7 applicants with a disability (3%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 100 | 36% |
| Male | 175 | 64% |
| Applications | 275 |
Taraba
271Applications
6 applicants with a disability (2%)
View as table
| Gender | Value | % |
|---|---|---|
| Female | 53 | 20% |
| Male | 218 | 80% |
| Applications | 271 |
Top sectors in each state
Abia
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 78 | 17% |
| Education, training & skills | 59 | 13% |
| Fashion, textiles & beauty | 51 | 11% |
| Information technology & software | 49 | 11% |
| Health & wellbeing | 26 | 6% |
| Applications | 447 |
Akwa Ibom
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 100 | 17% |
| Fashion, textiles & beauty | 74 | 13% |
| Education, training & skills | 70 | 12% |
| Information technology & software | 52 | 9% |
| Health & wellbeing | 36 | 6% |
| Applications | 589 |
Cross River
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 43 | 16% |
| Education, training & skills | 42 | 15% |
| Fashion, textiles & beauty | 26 | 9% |
| Health & wellbeing | 25 | 9% |
| Information technology & software | 17 | 6% |
| Applications | 275 |
Katsina
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 139 | 22% |
| Fashion, textiles & beauty | 75 | 12% |
| Information technology & software | 56 | 9% |
| Education, training & skills | 55 | 9% |
| Health & wellbeing | 43 | 7% |
| Applications | 640 |
Niger
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 136 | 22% |
| Education, training & skills | 79 | 13% |
| Fashion, textiles & beauty | 74 | 12% |
| Information technology & software | 48 | 8% |
| Health & wellbeing | 39 | 6% |
| Applications | 630 |
Plateau
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 93 | 22% |
| Education, training & skills | 50 | 12% |
| Fashion, textiles & beauty | 40 | 10% |
| Information technology & software | 30 | 7% |
| Health & wellbeing | 28 | 7% |
| Applications | 419 |
Taraba
View as table
| Sector | Value | % |
|---|---|---|
| Agriculture & agro-processing | 86 | 32% |
| Education, training & skills | 31 | 11% |
| Information technology & software | 27 | 10% |
| Health & wellbeing | 20 | 7% |
| Fashion, textiles & beauty | 20 | 7% |
| Applications | 271 |
Education and literacy spread, by state
Abia
447Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 1 | <1% |
| Secondary | 92 | 21% |
| Technical or vocational | 20 | 4% |
| Bachelor's degree (HND, BSc) | 313 | 70% |
| Master's degree (MSc, MBA) | 10 | 2% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 11 | 2% |
| Not recorded | 0 | 0% |
| Applicants | 447 |
Akwa Ibom
589Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 1 | <1% |
| Secondary | 105 | 18% |
| Technical or vocational | 17 | 3% |
| Bachelor's degree (HND, BSc) | 429 | 73% |
| Master's degree (MSc, MBA) | 21 | 4% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 15 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 589 |
Cross River
275Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 0 | 0% |
| Secondary | 45 | 16% |
| Technical or vocational | 13 | 5% |
| Bachelor's degree (HND, BSc) | 191 | 69% |
| Master's degree (MSc, MBA) | 15 | 5% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 10 | 4% |
| Not recorded | 0 | 0% |
| Applicants | 275 |
Katsina
640Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 1 | <1% |
| Secondary | 69 | 11% |
| Technical or vocational | 77 | 12% |
| Bachelor's degree (HND, BSc) | 446 | 70% |
| Master's degree (MSc, MBA) | 20 | 3% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 26 | 4% |
| Not recorded | 0 | 0% |
| Applicants | 640 |
Niger
630Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 1 | <1% |
| Primary | 2 | <1% |
| Secondary | 94 | 15% |
| Technical or vocational | 44 | 7% |
| Bachelor's degree (HND, BSc) | 436 | 69% |
| Master's degree (MSc, MBA) | 31 | 5% |
| Doctorate (PhD) | 1 | <1% |
| Something else | 21 | 3% |
| Not recorded | 0 | 0% |
| Applicants | 630 |
Plateau
419Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 0 | 0% |
| Secondary | 55 | 13% |
| Technical or vocational | 23 | 5% |
| Bachelor's degree (HND, BSc) | 314 | 75% |
| Master's degree (MSc, MBA) | 19 | 5% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 8 | 2% |
| Not recorded | 0 | 0% |
| Applicants | 419 |
Taraba
271Applicants
View as table
| Education level | Value | % |
|---|---|---|
| No formal education | 0 | 0% |
| Primary | 0 | 0% |
| Secondary | 28 | 10% |
| Technical or vocational | 17 | 6% |
| Bachelor's degree (HND, BSc) | 209 | 77% |
| Master's degree (MSc, MBA) | 11 | 4% |
| Doctorate (PhD) | 0 | 0% |
| Something else | 6 | 2% |
| Not recorded | 0 | 0% |
| Applicants | 271 |