1,000 WAYS TO TRANSFORM AFRICA · THE TONY ELUMELU FOUNDATION ENTREPRENEURSHIP PROGRAMME The Tony Elumelu Foundation (TEF) was founded in 2010 by Tony O. Elumelu, CON, a serial entrepreneur

1,000 WAYS TO TRANSFORM AFRICA 2017 APPLICATION DEMOGRAPHY REPORT

1,000 WAYS TO TRANSFORM AFRICA: 2017 APPLICATION DEMOGRAPHY REPORT

© 2017 The Tony Elumelu Foundation

Application assessment by Accenture Development Partners

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THE TONY ELUMELU FOUNDATION ENTREPRENEURSHIP PROGRAMME

We are pleased to present The Tony Elumelu Foundation (TEF) Entrepreneurship Programme Application

Demography Report. The Report provides an analysis of the more than 93,000 expressions of interest we

received in 2017, the 3rd cycle of our groundbreaking entrepreneurship programme. These applications,

provide access and insights into African start-ups and early stage enterprises who are currently strting a

business or have started a business within the last three years; high growth sectors which offer the greatest

business opportunities; demographics and women led businesses who collectively have the potential to

catalyze Africa's economic transformation. The report is a comprehensive review of the selection processs

and the pipeline of talented entrepreneurs that we are selecting each year from across the continent to

receive training, mentoring and funding.

The Foundation's main focus is based on the Founder's legacy to empower a generation of successful

entrepreneurs who enable the economic and social development across Africa through entrepreneurship.

Our Programme is rooted in our core philosophy of Africapitalism, which promotes long-term investment in

strategic sectors that will create economic and social wealth; deliver financial returns for shareholders as well

as social dividends for society. The Foundation advocates for more local value creation, intra-African trade

and investment, regional integration and the development of local human capital and other capacities of

African entrepreneurs. The Foundation's programmes and activities are designed to empower African

entrepreneurs, institutionalise luck, democratise opportunity and create an enabling business environment

where entrepreneurship can flourish in a sustained manner.

The design and development of the TEF Entrepreneurship Programme directly responds to this challenge and

is open to any African entrepreneur, regardless of nationality, gender, faith, age or sector, who has a

transformative and a scaleable business idea, the drive to succeed and to compete to be one of the best

1,000 ideas selected over the next 10 years. With the establishement of the programme, we seek the

participation of both the global and African private sectors alike to support the ambitions of Africa's budding

entrepreneurs.

Based on the data we gather from the tens of thousands of applications which we receive from every corner

of Africa each year, we conduct crucial research and develop policy to improve the enabling environment

for start-ups and entrepreneurs in Africa. In the coming years, we will be able to measure the impact our

Programme is having by counting the number of jobs created and revenues generated by our

entrepreneurs, the policies we will have helped to reform and the improved perceptions of Africa, as a high-

yielding destination for the smart long-term investor.

One of the most valuable aspects of this report is the examination of African entrepreneurs' sectors of focus,

relative to countries and regions. It provides information and market intelligence for academia, institutional

investors, corporates and other entrepreneurs looking to gain exposure to the continent's potential.

We trust that you will find this guide relevant and useful and we look forward to our incredible continent's

economic and social transformation.

FOREWORD

2017 APPLICATION AND EVALUATION REPORT

TABLE OF CONTENTS

4

Foreword 3

Executive Summary 5

Introduction 7

About The Tony Elumelu Foundation 8

Some Milestones 10

2017 Application Drive Review 11

The 2017 Figures and Application Evaluation Overview 12

2017 Application Review 13

Observations and Recommendations 20

Evaluation Approach/Methodology 21

Outcome of Evaluation – Batch of 10,135 26

Outcome of Evaluation 27

Three-year Trend 31

Top 1,000: Statistical Review 33

The Road To 1,000 34

Regional, Gender & Sector Analysis of the Selected 1,000 35

Three-year Trend Analysis 41

Yearly Application Progression 42

Application Distribution 43

Female Participation 44

Final Selection Distribution 45

Female Finalist Distribution 46

Top 20 Countries 47

Appendix I: 2015 Results 48

Appendix II: 2016 Results 50

Acknowledgments 52

THE TONY ELUMELU FOUNDATION ENTREPRENEURSHIP PROGRAMME 2017 APPLICATION AND EVALUATION REPORT

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HOW WE REACH THEM

During the 8-week application process and a sustained application awareness drive over the same period,

we attracted more than 93,000 applications from 55 African countries and 107 countries worldwide. This,

despite the obvious challenges of spreading awareness across the continent with the second lowest internet

penetration rate.

Indeed, the number and country of submissions has a direct correlation with internet penetration. In fact, a

significant number of applicants completed their applications on mobile phones.

While 79.8% of the 84.7% of applications from West Africa came out of Nigeria, the other countries in Western

Africa account for only 4.8% of applications. Not counting the Nigerian applications, Eastern and Southern

Africa had more applications per country than did Western Africa; a surprise result which speaks to a

combination of internet penetration and the development of the entrepreneurship ecosystem in each

region.

To reach as many people as possible, a broad array of information media was used to attract applicants.

Most applicants were informed by their friends while Facebook led the social media platforms and print

media publications followed. In Africa, Facebook is an entrepreneur's space for finding opportunities and

business.

ENTREPRENEURSHIP IS AN AGELESS GAME

Nearly 3,000 applicants were between the ages of 46 and 60. 57% of applicants were between the ages of 26

and 35, while a combined 80% of applicants were between 18 and 35 years old.

In Africa, entrepreneurship is not bound to age and the entrepreneurial thirst is not quenched as time passes.

In some ways, this is driven by a lack of respect for retirement age here, however it also reflects the fact that

one is never too old to be inspired by the possibility that your ideas have the potential to transform your

community, country and continent.

With its teeming, energetic and highly entrepreneurial young population, we are confident that these young

Africans hold the key to the economic transformation of the continent. This is what inspired us to launch the

Tony Elumelu Foundation Entrepreneurship Programme, a 10-year, US$100 million commitment to training,

mentoring and funding 10,000 African entrepreneurs.

Indeed, we are already seeing some outstanding entrepreneurs. Momar Taal (2016) credits the Foundation

with, “equipping me with certain business management principles which I credit for my ability to strategically

grow my company and scale my projects across the continent. Before we joined the TEF Entrepreneurship

Programme, we had a turnover of $20,000-$30,000. We took the seed capital provided by the Foundation,

invested wisely and we did $1.6 million last year and we're on track to do $2 million plus this year, so we're

growing rapidly.”

Stories like these reflect the impact that our Programme has had on incentivized entrepreneurs like Momar

Taal and the potential it has, to impact many more entrepreneurs like him.

EXECUTIVE SUMMARY


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TAKING IT TO THE ROOTS

Agriculture and fashion are the dark horses of our programme. Each year, agriculture business ideas lead in

the number of applications by nearly ten points, proving that Africa's entrepreneurs have long embraced

agriculture as the root from which our continent's economies will grow.

Fashion is another major industry that has gone unnoticed as a key force across Africa but which is bursting

with innovative creators. Protectionist policies banning the import of textiles have created room for fashion

designers in countries like Nigeria to develop fashion lines and houses based in traditional styles and sense.

African fashion borrows from its storytelling roots and investment from internal and external sources will

create a burgeoning to feed the $31 billion industry.

Women entrepreneurs are considered particularly attractive investment partners so the 3% increase in

female applicants was hard fought and won.

The Tony Elumelu Foundation believes that for Africa to develop, we need more responsible and responsive

leaders like Tony O. Elumelu CON who can grow profitable businesses that respond to the challenges on the

continent. We need entrepreneurs who can come up with homegrown solutions to everyday problems on

the continent. The data contained in this report provides insight into the entrepreneurs themselves, how to

reach them and how to target women for business development programmes.

With around 60% of Africans living in poverty, there is urgent need for such leaders who will create prosperity

and social wealth to emerge and grow the economy. Through our application process, we now know with

certainty that there is a legion of talented entrepreneurs with great ideas across Africa, but we realize there is

limited access to the funding and training needed to actualize their potential.


Introduction

2017 Application Drive Review

Evaluation Approach/Methodology

Outcome of Evaluation – Batch of 10,135

Top 1,000: Statistical Review

Three-year Trend Analysis

7

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The Tony Elumelu Foundation (TEF) was founded in 2010 by Tony O. Elumelu, CON, a serial entrepreneur and

investor who has a commitment to philanthropy. We are the leading philanthropy in Africa championing

entrepreneurship and entrepreneurs across the continent.

Our long-term investment in empowering African entrepreneurs is emblematic of Tony Elumelu's philosophy of

Africapitalism, which positions Africa's private sector, and most importantly entrepreneurs, as the catalyst for the

social and economic develop-ment of the continent.

TEF is the philanthropic arm of Heirs Holdings, an African investment firm. We are funded by an annual grant from

Heirs Holdings and supported by the group's investee companies. In turn, we provide support to the

philanthropic activities of the Heirs Holdings Group. We have also developed our own dynamic and innovative

programmes.

In 2015, TEF consolidated its various programmes and initiatives and made investing in Africa's next

generation of entrepreneurs and business leaders a priority. The future of the Tony Elumelu Foundation centers

on the provision of structured, robust, and multifaceted support to entrepreneurs around Africa through the Tony

Elumelu Foundation Entrepreneurship Programme.

The vision for the foundation is to unlock the obstacles that Africa's entrepreneurs face as they grow their start-

ups into small to medium enterprises (SMEs), their SMEs into national growth companies, and their national

growth companies into African multinationals.

We will continue to support our growing numbers of Programme alumni, whose inspirational success stories serve

as encouragement to upcoming entrepreneurs, and demonstrate the effective-ness of our interventions. As we

deepen our reach in Africa, we will continue to enrich these alumni networks, facilitating meaningful

conversations and mentor relationships to further assist tomorrow's business leaders.

The Foundation has set itself apart from grant-making bodies, by operationalising integrated programmes to

support entrepreneurship in Africa and by enhancing the competitiveness of the African private sector.

We have built a reputation for successfully imple- menting diverse programmes to achieve this, in-cluding:

• Promoting entrepreneurship:

Elumelu Professionals' Programme (EPP), Nigeria 50, Impact Investments, grant to Co-Creation Hub and now

the flagship - The Tony Elumelu Foundation Entrepreneurship Programme;

• Enhancing competitiveness:

National Competitiveness Council of Nigeria (NCCN), Blair-Elumelu Fellows Programme;

• Selective grant making:

Grants to other bodies pursuing aligned and strategic causes e.g. Tony Blair African Governance Initiative,

Kofi Annan Foundation, John Kufor Foundation, One Org, Rothschild Foundation;

• Leadership development:

Recognition of excellence through The Tony & Awele Elumelu Prize (TAEP) & The Fellows Programme; and

• Policy development:

Research and advocacy through the research arm (formerly the Africapitalism Institute).

ABOUT THE TONY ELUMELU FOUNDATION


The Tony Elumelu Foundation is the philanthropic arm of Heirs Holdings, an African investment firm.

We are funded by an annual grant from Heirs Holdings and supported by the group's investee companies.


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SOME MILESTONES

Each year, we commence the programme activities with renewed vigor

and purpose. When the Programme commenced, many were astonished

by the audacity of its aims and objectives. Now, entering our third cycle, the

programme couldn't be more robust. Our 2015 and 2016 Milestones outlined

below, speak for themselves as we have:

Provided training, mentoring and funding to 2,000 start-ups in 53

African countries, selected from over 65,000 applications.

Invested over $13 million, $10 million of which is seed capital.

Gathered thousands of African entrepreneurs in Lagos, Nigeria.

Travelled across Africa, introducing the TEF entrepreneurs to political

leaders at the highest levels of government

Facilitated the creation of Alumni Country Chapters and Networks

across the 51 African countries.

Leveraged unique data to produce original reports

Signed strategic partners including: the Nigerian Ministry for

Information and Culture; ECOWAS; International Trade Centre;

Microsoft to name but a few.

Built Africa's largest online platform, the TEF Hub go-to destination for

African entrepreneurs.

Produced a documentary film about the groundbreaking first year of

the Programme which has since been viewed by more than 1 million

people worldwide.

2,000 START-UPSNURTURED WITH TRAINING,

MENTORING & FUNDING

INVESTED OVER

$13 MILLION ($10 MILLION IN SEED CAPITAL)

2015 – 2016

$

Introduction






11

12


THE 2017 FIGURES AND APPLICATION EVALUATION OVERVIEW


The TEF Entrepreneurship Programme is the largest pan African startup incubator. Over 93,0000 entrepreneurs

applied in the 2017 cycle from 55 African countries and 1,000 were selected. As in previous years, a careful

evaluation process which involved an in-house Selection Committee and Accenture Development Partners

(ADP) was followed to select the top 1,000 ideas/businesses for the programme.

Successful applicants will undergo a developmental programme that will enhance their

capacity to successfully nurture their ideas to fruition. The 1,000 selected entrepreneurs

will receive support from the Foundation in the form of:

Business-relevant training

Mentoring

Access to professional networks

Business plan development

Seed capital of $10,000 in two tranches

Enterprise development toolkit

Stage 3Stage 2 Stage 4

Applications evaluated by Accenture

Development Partners

Applications evaluated by the Tony Elumelu

Foundation Selection Committee

10,13537,935 1,100

Stage 1

Total registrations recorded globally

on the programme platform

93,246

Selected

1,000

Complete applications screened by the

Tony Elumelu Foundation Team

SCREENED FOR:

Application completeness

SCREENED FOR:

Extent of alignment with Foundation's objectives

Repeat applications from previous cycle beneficiaries

EVALUATED FOR:

Quality of ideas and potential impact

Business Viability

Quality of entrepreneurial input

Repeat applications from previous cycle beneficiaries

EVALUATED FOR:

Strategic fit with the program

Geographical reach

Equity (gender, conflict regions, disadvantaged groups)

13


2017 APPLICATION REVIEW

Total number of application registrations: 93,246

Total number of registered entrants that started an application for the

programme: 84,074 (90.2%)

Total number of completed applications from African countries: 37,935

International countries: 135

Total number of represented African countries: 53

Among all entrants 41% submitted their applications.

• 2 in every 5 applicants submitted.

39.17% of registrations were by females; 60.83% by males.

• Some countries had more female than male applicants.

Leading industries included Agriculture (28.37%), Fashion (11.34%),

Manufacturing (8.13%), ICT (7.77%) and Commercial/Retail (7.12%).

A total of 107 countries expressed interest in the programme by

applying.

• Applications were started in 55 African Countries and submitted by 53

• Applications were started in 52 International Countries and

submitted by 31.

53

93,000

African Countries

Applicants

Over

107Countries

Worldwide

Applications from

0

10000

20000

30000

40000

50000

60000

70000

80000

90000

100000

1 2 3 4 5 6 7 8 9

Chart showing applications registrations and submissions

Submissions Registrations

Week

Total of 37,935 applicants representing 41% of those that registered on the platform went on to complete their applications.

41%Submission

14


Age distribution among applicants

0%

5%

10%

15%

20%

25%

30%

35%

40%

1 2 3 4 5 6 7 8 9 10

Percentage of total applications per week

Week

35% of the total number of applications was received in the last week.

35%FINAL WEEK

Ages 26 – 35

57%80%of applicants were youth between

18yrs to 35yrs

Ages 18 – 25

23%

Under 18

2%

Ages 46 - 60

3%

Ages 36 – 45

14%

2% of applicants did not meet the age restriction because they were under 18 years

15


Gender count by country

Gender distribution among applicants

39%61%FemaleMale

There was a 3% increase in female applications to

39.17%, compared to

2016’s figures.

Five countries had more female than male applicants; Equatorial Guinea, Guinea-Bissau, Lesotho, Namibia, Tunisia.

Country Female Male

Algeria 11 24

Angola 4 21

Benin 39 141

Botswana 70 126

Burkina Faso 19 68

Burundi 17 69

Cameroon 170 430

Cape Verde 4 4

Central African Republic 5 11

Chad 3 41

Comoros 3 6

Congo 8 28

Congo DR 44 158

Cote D'ivoire 67 194

Djibouti 6 15

Egypt 9 31

Equatorial Guinea 3 2

Eritrea 1 2

Country Female Male

Ethiopia 27 96

Gabon 20 54

Gambia 21 33

Ghana 235 550

Guinea 2 38

Guinea-bissau 1 0

Kenya 536 734

Lesotho 32 24

Liberia 10 29

Libya 1 1

Madagascar 8 9

Malawi 39 87

Mali 18 44

Mauritania 5 10

Mauritius 8 20

Morocco 6 12

Mozambique 25 59

Namibia 31 24

Country Female Male

Niger 30 34

Nigeria 10729 19555

Reunion 1 2

Rwanda 118 217

Sao Tome & Principe 3 11

Senegal 45 67

Sierra Leone 16 29

Somalia 0 18

South Africa 231 249

South Sudan 4 14

Sudan 3 11

Swaziland 8 22

Tanzania 185 328

Togo 16 68

Tunisia 14 7

Uganda 301 486

Zambia 55 130

Zimbabwe 76 149

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Distribution of stages of business by sector

Distribution of applications by stage of business

18%32%

Testing (Research & Development)

Idea (Concept)

31% 19%

Growth

Infancy (Market Entry)

Majority of the applications received (81%) were from businesses in the idea to infancy stages

0 2000 4000 6000 8000 10000 12000

Waste Management

Transportation

Tourism/Hospitality

Telecommunication

Professional Services

Oil & Gas

Media and Entertainment

Manufacturing

ICT

Healthcare

Haulage/ Logistics

FMCG

Financial Services

Fashion

Energy/Power Generation

Education and Training

Consulting

Construction

Commercial/Retail

Aviation

Agriculture (Agri-business, Farming)

Growth Idea (Concept) Infancy (Market Entry) Testing (Research & Development)

17


Regional spread of applications across Africa

•

63% of applications

fell under the Agriculture,Fashion, Manufacturing, ICT and Commercial/Retail sectors.

28.37%

Fashion

Agriculture

Manufacturing

Cormercial/Retail

11.34% 8.13%

7.12%ICT

7.77%

Others

37.27%

Top ranking sectors among applicants

•

79.8% of the

84.7% Western African applications came from Nigeria; the other countries in Western Africa account for only 4.8% of applications.

• Not counting the Nigerian applications, Eastern and Southern Africa had more applications per country than Western Africa.

Western Africa

84.7% Northern Africa

0.4%

Eastern Africa

10.1%

Southern Africa

2.2%

Central Africa

2.7%

18


Applications spread across Nigerian States

0 2000 4000 6000 8000 10000 12000 14000

Abia

Abuja F.C.T.

Adamawa

Anambra

Akwa Ibom

Bauchi

Bayelsa

Benue

Borno

Cross River

Delta

Ebonyi

Enugu

Edo

Ekiti

Gombe

Imo

Jigawa

Kaduna

Kano

Katsina

Kebbi

Kogi

Kwara

Lagos

Nasarawa

Niger

Ogun

Ondo

Osun

Oyo

Plateau

Rivers

Sokoto

Taraba

Yobe

Zamfara

Applications were received from all states in Nigeria.

Lagos, Abuja followed

2016’s trend and led the application race while Oyo surpassed Kaduna to take third place.

These top 3 states accounted for 44% of all Nigerian applications.

19


Internet user distribution

Information Media

0 2000 4000 6000 8000 10000 12000 14000

Email

Facebook

Flyer

Friend

Instagram

Linkedin advert

Media Publication

Newspaper

Poster

Radio

Search Engine

SMS

TEEP Alumni

TV - Africa24

TV - CNN

TV - National/Local Network

TV - TraceTV

Twitter

University

Workshop

YouTube Ads

Applicants across Africa were reached with information about the TEF

Entrepreneurship Programme through several means including a wide range of

information media. Most number of applicants were informed by their friends while

Facebook led the social media platforms in extent of reach.

Country Population Internet Users % Penetration % Internet Users Language

Nigeria 181,562,056 92,699,924 51.10% 28.00% English

Egypt 88,487,396 48,300,000 54.60% 14.60% Arabic

Kenya 45,925,301 31,985,048 69.60% 9.70% English

South Africa 54,777,809 26,841,126 49.00% 8.10% English

Morocco 33,322,699 20,207,154 60.60% 6.10% Arabic

Uganda 37,101,745 11,924,927 32.10% 3.60% English

Algeria 39,542,166 11,000,000 27.80% 3.30% Arabic

Sudan 36,108,853 9,307,189 25.80% 2.80% Arabic

Tanzania 51,045,882 7,590,794 14.90% 2.30% English

Senegal 13,975,834 7,260,000 51.90% 2.20% French

Zimbabwe 14,229,541 6,759,032 47.50% 2.00% English

Tunisia 11,037,225 5,408,240 49.00% 1.60% Arabic

Cote d'Ivoire 23,295,302 5,230,000 22.50% 1.60% French

Ghana 26,327,649 5,171,993 19.60% 1.60% English

20


OBSERVATIONS AND RECOMMENDATIONS

The number of submissions

followed a similar pattern

to the internet user

distribution in Africa.

Pop-up Information bubbles

could be available for all

questions to help applicants

understand the questions

better.

Based on feedback and interaction,

a great number of applicants

completed the application form

on their mobile phones.

Majority of the applications received

(81%) were newly conceived ideas

and businesses in the testing and

infancy stages.

Observations

Recommendations

35% of applications were

submitted in the final week

before the application

portal closed.

Applicants could be given the option

of selecting whether their business is still

an “Idea” or “In Operation” early in the

application, and this function will allow

the form be restructured to suit their

selection.

Drive for submissions

could commence earlier

to reduce the last minute

surge of applications.

Lo-res version of the application form

could be available for those accessing

the portal via mobile or with slow

internet.

Introduction






21

22


EVALUATION APPROACH / METHODOLOGY

As in previous years, the Application Evaluation exercise of the 2017 TEF Entrepreneurship Programme was

driven by key factors to ensure that the process is transparent, credible and rigorous.

Accensure Development Partners (ADP) team evaluated 10,135 applications in Stage 3 of the application

review exercise, over a 7-week period (February 1st – March 13th 2017). The business entries were evaluated

across 5 agreed criteria, using the methodology detailed on the table below.

Applications scoring above 72% after initial evaluation were reviewed again in another exercise to rank and

select the top 1,000 entrepreneurs for the 2017 cycle. A total of 1,580 applications made it to the 72% score-

line.

The following key considerations ensured end-to-end quality:

1. Interpretation & Application of Evaluation Criteria

All applications were evaluated based on five (5) agreed assessment criteria:

These assessment criteria were simplified into a total of 29 Yes/No weighted questions. The final score for each

application was based on the aggregate of points on the questions that earned a "Yes" answer. The 29

Yes/No questions are detailed on the next page...

# Criterion Weight Remarks on Interpretation

1 Feasibility 20% Unique,original, innovative

Jobs, wealth creation potential

Sustainable, commercially viable

2 Market 25% Clear & apparent market for proposed product/service

Opportunity Applicant understands market, customers, competitive

& regulatory landscape

3 Financial 10% Basic financial understanding of revenue streams, cost

Understanding drivers, and financing needs

4 Scalability 30% Potential to replicate across community, regional,

national and continental

5 Leadership & 15% Passion and commitment

Entrepreneurial Previous accomplishments with respect to mobilizing

Skills people and resources

Experience and technical expertise

23


Interpretation of Evaluation Criteria (Viability of Idea/Business)

• Has this entrepreneur defined the features of his/her product/service? 4

• Has this entrepreneur defined the benefits of his/her product/service? 4

• Is this business practical – will people be willing to pay for this product or service? 4

• Is this business solving a problem in a new way that could lead to improved efficiencies, added value to customers, etc.? 3

• Is this business tapping into a new market that no one else has been able to reach or solving a problem no one else has addressed? 3

• Does this business have the capacity to create jobs for up to 10 people? 2

• Is the market for this product/service sizeable enough to justify investment in this business? 5

• Has this entrepreneur sufficiently described how his/her business will generate income, and earn profits? 5

• Has this entrepreneur provided a workable marketing or advertising strategy for his/her product/service? 5

• Has this entrepreneur defined the target market or market segments for his/her product/service? 4

• Has this entrepreneur positioned his/her product/service favorably against competitors? 4

• Has this entrepreneur set price? 2

• Can this business model/idea be replicated outside this entrepreneur's immediate community/current market? 5

• Will this business be able to multiply its revenue (increase production, service lines, etc.) while keeping expenses as low as possible? 5

• Are there opportunities for this business to use automation (technology) to improve margins and reduce operational costs? 5

• Will this business be able to surmount cultural barriers to enable it expand to other geographies within Africa? 4

• Will this business be able to surmount legal/regulatory barriers to enable it expand to other geographies within Africa? 4

• Will this business have adequate access to raw materials (if applicable) or critical skills if it decides to expand beyond its current market? 4

• Has this entrepreneur demonstrated a desire to scale his/her capability? 3

Feasibility

Market Opportunity

Scalability

Criteria Description Points Total Score

20Points

25Points

30Points

24


Interpretation of Evaluation Criteria (Credibility & Acumen of Entrepreneur)

• Has this entrepreneur demonstrated ability to influence, lead or motivate people in any capacity? 3

• Has this entrepreneur demonstrated ability to manage resources (time, money, materials)? 3

• Is this entrepreneur's desired impact in line with the TEF's goal of increasing jobs, building businesses and creating wealth across Africa? 3

• Do the outlined business challenges show a true understanding of the industry this entrepreneur is operating in? 2

• Has this entrepreneur honestly identified his/her skill gaps as areas to learn about? 2

• Are the current and next milestones demonstrative of a desire for accelerated but realistic progress of his/her business? 2

Leadership & Entrepre-neurship Skills

Criteria Description Points Total Score

• Does the logic for making money (revenue) in this business add up? 3

• Based on the type of business identified, does the current expense reflect all the possible operating costs associated with running this business? 3

• Is the financial forecast for this business realistic/based on reasonable assumptions? 2

• Does the break-even revenue/volume reflect the time value of the invested cash/cash to be invested, given the price of the product involved? 2

Financial Understan-ding

10Points

15Points

25


2. Evaluation Process Quality Assurance

The scoring guideline below was used to validate the first stage ratings and minimize the impact of

Applications that scored 72% and above in the first stage were further assessed by a team of Senior

Evaluators leading to the final ranking of applications as shown in the table below:

Business idea is a game changing one, very innovative, and meets the 3 criteria below:

Sound and well-articulated revenue model

Sound and well-articulated marketing model (target market, competition, product differentiation)

Clearly demonstrated leadership skills and experience of applicant

Business is a game-changing one, similar to 90% and above, but has either not articulated a

sound revenue model or marketing model, or demonstrated the applicant's leadership &

entrepreneurship abilities (missing 1 of the 3 criteria)

Business is a regular entrepreneurship (teaching, tutoring, farming, sales, fashion design, etc.)

that has a well-articulated revenue model and marketing model, and in which the leadership/

entrepreneurship skills of applicant are clearly demonstrated (meets all 3 criteria) OR

Business is a game-changing one that has not articulated a sound revenue model, sound

marketing model or demonstrated the applicant's leadership & entrepreneurship abilities

(missing 2 of the 3 criteria)

Business is a regular entrepreneurship (similar to 70-79% bracket), but has either not articulated

a sound revenue model or marketing model, or demonstrated the applicant's leadership &

entrepreneurship abilities (missing 1 of the 3 criteria)

Business is a game-changing one that has not articulated a sound revenue model, a sound

marketing model or demonstrated the applicant's leadership & entrepreneurship abilities

(missing all of the 3 criteria)

Business is a regular entrepreneurship, but application had severe information gaps or

displayed poor familiarity of applicant with industry

Generic business with insufficient information to justify the need for investment or applicant's

familiarity with the industry

Applicant was incoherent –it was difficult to understand what the business idea was about

Applicant left key information fields blank

ScoreBand

Score Band

80 – 100

Ranking

Ranking HIGH MEDIUM

61 – 79

LOW

<=60

Scoring Standard

90-100

80-89

70-79

60-69

50-59

21-49

0-20

VERYHIGH

HIGH

HIGHMEDIUM

LOWMEDIUMBAND 2

LOWMEDIUMBAND 1

LOW

VERY LOW

Introduction






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27


OUTCOME OF EVALUATION

Distribution of all 10,135 screened applications by African region

Distribution of applications by stage

Fifty-two (52) African countries were represented in the batch of 10,135, with

Nigeria contributing 57% of applications.

Majority of the applications received (62%) were businesses between the idea and infancy stages.

6845

2133495

558

104

Nigeria 5786 57.1%

Ghana 384 3.8%

Cote d'Ivoire 155 1.5%

Benin 125 1.2%

Senegal 78 0.7%

Togo 56 0.6%

Gambia 44 0.4%

Niger 41 0.4%

Burkina Faso 38 0.4%

Liberia 36 0.4%

Mali 30 0.3%

Sierra Leone 30 0.3%

Guinea 28 0.3%

Mauritania 10 0.1%

Cape Verde 4 0.04%

Western Africa 67.5%

Cameroon 270 2.7%

Congo, DR 108 1.1%

Gabon 44 0.4%

Chad 27 0.3%

Congo 24 0.2%

Sao Tome & Principe 10 0.1%

Central African Rep. 6 0.1%

Equatorial Guinea 4 0.04%

Angola 2 0.02%

Central Africa 4.9%

South Africa 261 2.6%

Botswana 172 1.7%

Lesotho 51 0.5%

Namibia 47 0.5%

Swaziland 27 0.3%

Southern Africa 5.5%

Kenya 606 5.9%

Uganda 411 4.1%

Tanzania, U.R. 282 2.8%

Rwanda 186 1.8%

Zimbabwe 132 1.3%

Zambia 131 1.3%

Malawi 99 1.0%

Ethiopia 96 0.9%

Burundi 63 0.6%

Mozambique 45 0.4%

Mauritius 27 0.3%

Somalia 19 0.2%

Djibouti 15 0.2%

Madagascar 12 0.1%

Comoros 8 0.1%

Eritrea 1 0.01%

Eastern Africa 21.1%

Egypt 32 0.3%

Algeria 16 0.2%

Morocco 15 0.2%

Tunisia 15 0.2%

South Sudan 13 0.1%

Sudan 11 0.1%

Libya 2 0.02%

Northern Africa 1.0%

*Africa regional grouping based on United Nations Statistic Division geoscheme system

20%29%

Testing (Research & Development)

Idea

(Concept)

33% 18%

GrowthInfancy (Market Entry)

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WASTE MANAGEMENT

TOURISM/HOSPITALITY

PROFESSIONAL SERVICES

MEDIA AND ENTERTAINMENT

MANUFACTURING

ICT

HEALTHCARE

FMCG

FASHION

ENERGY/POWER GENERATION

EDUCATION AND TRAINING

CONSULTING

COMMERCIAL/RETAIL

AGRICULTURE 29%

9%

9%

5%

3%

2%

9%

4%

3%

7%

4%

3%

6%

4%

4%

CONSTRUCTION

About one-third of

applications evaluated

were from the Agriculture

sector; other sectors with

significant representation

are Manufacturing (9%),

ICT (9%), Fashion (9%) and

Education/Training (7%),

which hold potential to

improve the unemploy-

ment situation in Africa.

Distribution of applications by sector

Gender distribution of all 10,135 applications by African region

Western Africa Male Female

Cameroon 204 66

Congo, DR 87 21

Gabon 30 14

Chad 26 1

Congo 18 6


Central African Rep. 5 1


Angola 1 1

South Africa 148 113

Botswana 113 59

Lesotho 24 27

Namibia 20 27

Swaziland 21 6

Kenya 368 238

Uganda 263 148

Tanzania, U.R. 186 96

Rwanda 120 66

Zimbabwe 84 48

Zambia 95 36

Malawi 72 27

Ethiopia 71 25

Burundi 51 12

Mozambique 35 10

Mauritius 17 10

Somalia 18 1

Djibouti 12 3

Madagascar 7 5

Comoros 5 3

Eritrea 1 0

Egypt 26 6

Algeria 11 5

Morocco 8 7

Tunisia 10 5

South Sudan 11 2

Sudan 9 2

Libya 1 1

Nigeria 3857 1929

Ghana 272 112

Cote d'Ivoire 124 31

Benin 98 27

Senega l51 27

Togo 46 10

Gambia 27 17

Niger 20 21

Burkina Faso 34 4

Liberia 26 10

Mali 24 6

Sierra Leone 21 9

Guinea 26 2

Mauritania 8 2

Cape Verde 2 2

68%

66%

58%

73%

77%

32%

34%

42%

27%

23%

A total of 3,311 applications from the batch of 10,135 were from female entrepreneurs, representing 33% of all.

Namibia (57%), Lesotho (53%) and Niger (51%) were the only countries with a higher number of female applicants

Male Female

Central Africa Male Female

Northern Africa Male Female

Southern Africa Male Female

Eastern Africa Male Female

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Ranking distribution of all 10,135 applications by African region

Overall, Eastern Africa region had the greatest

proportion of high-ranking applications (26%)

compared to total entries received per region

Southern Africa had the least proportion (14%),

other regions' proportions ranged from 16-25%

Central Africa VH H HM LM2 LM1 L VL

Cameroon 0 6 47 92 89 36 0

Congo, DR 0 3 32 41 22 9 1

Gabon 0 1 19 13 8 3 0

Chad 0 1 7 7 9 3 0

Congo 0 0 5 9 8 2 0

Sao Tome & Principe 0 0 2 4 1 3 0

Central African Rep. 0 0 1 3 2 0 0

Equatorial Guinea 0 0 0 1 1 2 0

Angola 0 0 0 0 2 0 0

Western Africa VH H HM LM2 LM1 L VL

Nigeria 0 109 1085 2176 1692 653 71

Ghana 0 6 55 137 146 3 55

Cote d'Ivoire 1 1 45 73 31 4 0

Benin 0 2 32 41 36 14 0

Senegal 0 2 6 26 24 16 4

Togo 0 0 22 24 8 2 0

Gambia 0 0 5 19 14 4 2

Niger 0 0 14 15 8 4 0

Liberia 0 2 2 8 13 13 0

Burkina Faso 0 0 4 17 11 4 0

Sierra Leone 0 2 6 9 8 5 0

Mali 0 0 7 12 11 0 0

Guinea 0 0 2 13 11 2 0

Mauritania 0 0 1 5 3 0 1

Cape Verde 0 0 0 4 0 0 0

Eastern Africa VH H HM LM2 LM1 L VL

Kenya 0 10 128 255 166 45 2

Uganda 0 18 137 164 50 33 9

Tanzania, U.R. 0 10 72 94 52 51 3

Rwanda 0 9 44 68 31 26 8

Zimbabwe 0 2 34 59 27 9 1

Zambia 0 4 34 43 37 11 2

Malawi 0 1 9 46 30 13 0

Ethiopia 0 2 13 28 31 20 2

Burundi 0 1 8 23 20 10 1

Mozambique 0 1 3 23 16 2 0

Mauritius 0 0 3 11 10 3 0

Djibouti 0 0 1 4 6 8 0

Somalia 0 0 5 6 3 1 0

Madagascar 0 1 4 5 1 1 0

Comoros 0 0 1 2 5 0 0

Eritrea 0 0 1 0 0 0 0

Southern Africa VH H HM LM2 LM1 L VL

South Africa 0 5 35 100 72 46 3

Botswana 0 2 17 52 67 34 0

Lesotho 0 0 5 14 27 5 0

Namibia 0 0 7 15 21 3 1

Swaziland 0 1 3 11 5 5 2

Northern Africa VH H HM LM2 LM1 L VL

Egypt 0 0 7 13 5 7 0

South Sudan 0 0 2 5 4 4 1

Tunisia 0 0 4 7 4 0 0

Algeria 0 1 1 6 6 0 1

Sudan 0 0 0 7 3 3 0

Morocco 0 1 1 5 3 0 1

Libya 0 0 0 0 2 0 0

>=90

VERY HIGH

HIGHMEDIUM

LOWMEDIUMBAND 2

LOWMEDIUMBAND 1

HIGH LOW VERYLOW

80-90 70-79 60-69 50-59 21-49 <=20

2%

14%

41%26%

14%

3%

0%

2%

19%

38%

29%

11%

1%

2%

12%

34%34%

17%

3%

23%

39%

23%

11%

2%

23%

34%

29%

12%

30


Across 5 of the 7 ranking scales, the proportion of female to male applicants was approximately 1:2

Gender distribution by rank of all 10,135 applications

1316

2520

1948

809

662(34%)

(34%)

(32%)

(66%)

(66%)

(68%)

(30%)

(70%)(72%)

(70%)

(0%)

(28%)(30%)

(100%)

1295

914

345

VERY HIGH HIGH HIGH MEDIUM LOW MEDIUMBAND 2

LOW MEDIUMBAND 1

LOW VERY LOW

FemaleMale

88142

0

3362

1

31


THREE-YEAR TREND

Compared to entries reviewed in the previous years, there is marginal increase in the number of countries

and in female participation, and minimal shift in sectoral distribution

Seychelles

Mauritius

Sao Tome & Principe

Cape Verde

Djibouti

Eritrea

Comoros

Sector distribution

Country representation: 2015-2017

2015 2016 20171 Agriculture 25.1% 28.8% 5 27.4% 6

2 Aviation 0.0% 0.1% 5 0.04% 6

3 Commercial/Retail 9.3% 7.2% 6 5.9% 6

4 Construction 3.2% 2.6% 6 2.9% 5

5 Consulting 0.0% 2.0% 5 2.1% 5

6 Education and Training 11.7% 7.3% 6 7.2% 6

7 Energy/Power Generation 2.2% 2.8% 5 3.7% 5

8 Fashion 5.7% 8.6% 5 8.4% 6

9 Financial Services 2.0% 1.0% 6 1.7% 5

10 FMCG 1.3% 2.7% 5 2.6% 6

11 Haulage/Logistics 0.0% 0.7% 5 0.7% ;

12 Healthcare 3.7% 3.8% 5 4.3% 5

13 ICT 9.1% 8.5% 6 8.3% 6

14 Manufacturing 5.9% 7.8% 5 8.8% 5

15 Media and Entertainment 4.2% 5.1% 5 4.6% 6

16 Oil & Gas 0.0% 0.7% 5 0.7% ;

17 Professional Services 0.0% 3.5% 5 3.7% 5

18 Telecommunication 0.0% 0.5% 5 0.5% ;

19 Tourism/Hospitality 2.1% 2.4% 5 2.7% 5

20 Transportation 1.7% 1.7% ; 1.2% 6

21 Waste Management 1.2% 2.4% 5 2.7% 5

1,479

2,785

3,311

3,724

5,899

6,824

28%

32%

33%

72%

68%

67%

2015

2016

2017

Gender representation: 2015-2017

Only in 2016

Only in 2017

All years

32


Distribution trend for top 20 countries: 2015-2017

Actual number of submitted applications across the top

20 countries significantly increased (by over 100%) from

last year, except for Nigeria and nine other countries

Top 20 New entrants

606

411

384

282

270

261

186

172

155

132

131

125

108

99

96

78

63

56

51

Nigeria

Kenya

Uganda

Ghana

Tanzania, U.R.

Cameroon

South Africa

Rwanda

Botswana

Cote D'ivoire

Zimbabwe

Zambia

Benin

Congo, D.R.

Malawi

Ethiopia

Senegal

Burundi

Togo

Lesotho

2015

2016

2017

5,786

4

4 <100% increase from 2016

8 >100% increase from 2016

3 <100% decrease from 2016

7 >100% decrease from 2016

4

3

4844

884

48488

48888

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Introduction






33

34


THE ROAD TO 1,000

93,246Total registrations recorded globally on the programme platform

Applications scoring >=72% rating in first stage evaluation by ADP

Applications that scaled through after 1st screening by TEF Team. These were further evaluated by Accenture Development Partners (ADP)

Number of completed applications screened further by the Tony Elumelu Foundation Team37,935

10,135

1,580

Others selected on discretionary basis (42)

Applications ranked medium & above (scoring >=61%) in 2nd stage evaluation by ADP (44 countries represented)

Top scoring applications from 8 countries that are not represe-nted among the final 958

Countries under-represented in the batch of 958

Applications scoring 60% from countries not in Top 10 list

958

+

+

+

8

19

19

Selected

1,000

35


Distribution of final 1,000 applications by African region

25866

624

16

36

Central Africa 6.6%Cameroon 21 2.1%

Congo, D.R 18 1.8%

Gabon 9 0.9%

Chad 6 0.6%

Congo 4 0.4%

Sao Tome And Principe 2 0.2%

Angola 2 0.2%

Central African Republic2 0.2%


Western Africa 62.4%Nigeria 509 50.9%

Ghana 24 2.4%

Cote D'ivoire 23 2.3%

Benin 20 2.0%

Togo 15 1.5%

Niger 6 0.6%

Sierra Leone 6 0.6%

Senegal 5 0.5%

Burkina Faso 3 0.3%

Cape Verde 3 0.3%

Gambia 2 0.2%

Mauritania 2 0.2%

Mali 2 0.2%

Guinea 2 0.2%

Liberia 2 0.2%

Southern Africa 3.6%South Africa 23 2.3%

Botswana 5 0.5%

Lesotho 3 0.3%

Namibia 3 0.3%

Swaziland 2 0.2%

Eastern Africa 25.8%Uganda 74 7.4%

Kenya 55 5.5%


Rwanda 23 2.3%

Zambia 21 2.1%

Zimbabwe 17 1.7%

Ethiopia 10 1.0%

Malawi 6 0.6%

Djibouti 3 0.3%

Madagascar 2 0.2%

Comoros 2 0.2%

Mozambique 2 0.2%

Burundi 2 0.2%

Mauritius 2 0.2%

Somalia 2 0.2%

Eritrea 1 0.1%

Northern Africa 1.6%Algeria 3 0.3%

Egypt 3 0.3%

South Sudan 2 0.2%

Sudan 2 0.2%

Tunisia 2 0.2%

Libya 2 0.2%

Morocco 2 0.2%


Fifty-two (52) African countries are represented in the top 1,000 applications, with Nigeria contributing

51%. The highest regional representations in the top 1,000 are from the Western (62%) and Eastern (26%)

African regions.

REGIONAL, GENDER & SECTOR ANALYSIS OF THE SELECTED 1,000

36


Western Africa M FNigeria 343 166

Ghana 18 6

Cote D'Ivoire 17 6

Benin 14 6

Togo 13 2

Sierra Leone 5 1

Niger 3 3

Senegal 2 3

Burkina Faso 3 0

Mali 2 0

Liberia 2 0

Mauritania 2 0

Cape Verde 1 2

Gambia 2 0

Guinea 2 0

Central Africa M FCameroon 16 5

Congo, DR 14 4

Gabon 7 2

Chad 6 0

Congo 4 0



Angola 1 1

Central African Rep. 2 0

Eastern Africa M FUganda 39 35

Kenya 34 21

Tanzania, UR 25 11

Rwanda 12 11

Zambia 19 2

Zimbabwe 10 7

Ethiopia 9 1

Malawi 6 0

Djibouti 3 0

Burundi 2 0

Mozambique 1 1

Madagascar 0 2

Comoros 0 2

Eritrea 1 0

Mauritius 1 1

Somalia 2 0

Northern Africa M FEgypt 2 1

South Sudan 2 0

Algeria 0 3

Sudan 1 1

Tunisia 1 1

Libya 1 1

Morocco 1 1

Southern Africa M FSouth Africa 15 8

Botswana 5 0

Lesotho 1 2

Namibia 2 1

Swaziland 1 1

Thirty-two percent (32%) of the top 1,000 applications were sent in by female applicants. Three countries have 100% female representation in the top 1,000: Algeria, Comoros, and Madagascar.

While Cape Verde has more female representatives than male.

Gender distribution of top 1,000 applications by African region

50% 50%

79%

21%

69%

31%

64%36%

67%

33%


37


About one-third (29%) of applications in the top 1,000 are from the Agriculture sector; other sectors with

significant representation are ICT (11%), Manufacturing (9%) and Education/Training (9%).

Distribution of applications by sector

Distribution of applications by stage

Agriculture

Educationand Training

Commercial / Retail

ICTManufacturing

29%

11% 9%

9%

7%Fashion

5%

6%

3%

3%3%3%

3%

Consulting 2%

Energy/PowerGeneration

5%

Construction


Tourism/Hospitality

FMCG

2%

Waste Management

Healthcare

Media/Entertainment

18%23%Testing (Research & Development)

Idea (Concept)

40%

19%Growth

Infancy (Market Entry)

38


Sector distribution by region in the final 1,000 applications

Sector distribution by gender in the final 1,000 applications

15 7 4 6 3 5 5 4 3 2 3 14 1 2 1

85

22 20 2211 14 10 15 11 3 10

58 6 5 8

11

176

63

61 51

48 39 32 1914 24 16 23 16 18 9 7 3 2

1

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Eastern AfricaCentral Africa Northern Africa Southern Africa Western Africa

281

103

87 84

66 5951

4232 32 30 30 29 25 18 16

6 5 3 1

Western Africa has an average proportion of 61% across all twenty sectors represented in the top 1,000.Sectors with the lowest proportions of Western African applications to total are Energy/Power Generation

(45%), Media & Entertainment (44%), Financial Services (44%) and Transportation (40%).

21

Female

Male

196

88

55 5527

39 30 33 23 18 19 23 17 16 13 12 6 4 2 1

85

15

32 29

39 2021 9

9 14 11 7 12 9 5 41 1

Ag

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n281

103

87 84

66 5951

4232 32 30 30 29

25 18 166 5 3 1

The proportion of female to

male applications is higher than

the average of 32% in nine of

the twenty sectors represented

in the top 1,000.

Sectors with significant

proportion of female applicants

are Fashion (59%), FMCG (44%),

Healthcare (41%) and

Professional Services (41%)

39


Sector distribution by rank in the final 1,000 applications

Scoring across the 5 criteria for HIGH rank applications

Applications in the "Medium" rank constitutes more than 60% of total applications across all sectors. Sectors

with the highest overall proportions of "High" ranking applications are Oil & Gas (33%), Energy & Power

Generation (30%) and Waste Management (20%)

These applications scored highly on Feasibility, Market Opportunity, Scalability & Leadership

Applications falling in this bracket include ideas that are proven and have potential to be scaled up to

deliver greater impact.

3116 15 13 7 4 8 13 3 6 2 4 2 1 2 1 1

242

8370 70

5851 40 29

25 30 23 26 23 21 13 12 5 1

8

42 1

14

3

4 2 1 2 2 24 2

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87 84

66 5951

4232 32 30 30 29

25 18 166 5 3 1

MediumHigh Low

5

4-4.9

<2

2-2.9

3-3.945 44

1641

11

71 83

66

84

107

132

30

101413

Feasibility Market

Opportunity

FinancialUnderstanding

Leadership &Entrepreneurship

Skills

Scalability

4

40


Scoring across the 5 criteria for MEDIUM rank applications

Scoring across the 5 criteria for LOW rank applications

Compared to the "High" category, only a minimal proportion of applications in the "Medium" category

scored 5 across all criteria. On average, 45% of the 829 applicants in the "MEDIUM" category scored 4 and

above across all 5 criteria.

Over seventy percent (70%) of the 42 applications in the "Low" rank had medium to low scores in Financial

Understanding

25 39 41 55 6

359400

170

418

358

400 332

293

291407

37 54

244

63 548 4

812 4

Feasibility Market Opportunity Financial Leadership Scalability

5

4-4.9

<2

2-2.9

3-3.9

On average, over 93% of applications in the "LOW" category scored 3 and below across all 5 criteria

Based on an analysis of the 42 applications ranked as "LOW", the factors most responsible for placement

in the Low bracket were Financial Understanding & Scalability.

3 4 4 40

14 138

1114

3 3

4

5 6

22 2226

22 22

Feasibility Market Opportunity Financial Leadership Scalability

5

4-4.9

<2

2-2.9

3-3.9

Introduction






41

42


0

10000

20000

30000

40000

50000

60000

70000

80000

90000

100000

1 2 3 4 5 6 7 8 9

Chart Showing 2015, 2016 and 2017 Applicant Registrations

2015 2016 2017

Week

0

5000

10000

15000

20000

25000

30000

35000

40000

1 2 3 4 5 6 7 8 9

Chart Showing 2015, 2016 and 2017 Application Submissions

2015 2016 2017

Week

YEARLY APPLICATION PROGRESSION

2015 2016 2017 2018 PROJECTION

7,817Submissions

20,228Registrations

18,320Submissions

45,658Registrations

37,935Submissions

93,246Registrations

72,000?Submissions

180,000?Registrations

126% increase in application registrations and 134% increase in application submissions in 2017

compared to 2016.

Country 2015

1 Nigeria 2,756 6,139 5 5,786 6

2 Kenya 770 499 6 606 5

3 Uganda 166 308 5 411 5

4 Ghana 168 252 5 384 5

5 Cameroon 165 203 5 270 5

6 South Africa 148 134 6 261 5

7 Tanzania 102 134 5 282 5

8 Cote D'ivoire 113 110 6 155 5

9 Rwanda 59 86 5 186 5

10 Zambia 73 71 6 131 5

11 Zimbabwe 54 76 5 132 5

12 Botswana 39 49 5 172 5

13 Congo (DRC) 69 49 6 108 5

14 Benin 44 55 5 125 5

15 Ethiopia 30 94 5 96 5

16 Senegal 104 29 6 78 5

17 Malawi 9 32 5 99 5

18 Burundi 23 27 5 63 5

19 Gabon 26 42 5 44 5

20 Burkina Faso 38 17 6 38 5

21 Togo 20

15

6 56

5

22 Mozambique 32

13

6 45

5

23 Gambia 21

11

6 44

5

24 Namibia 15

14

6 47

5

25 Liberia 15

20

5 36

5

26 Niger 15

14

6 41

5

27 Lesotho 6

11

5 51

5

2016 2017 Country 2015

28 Guinea 12 24 5 28 5

29 Mali 10 14 5 30 5

30 Sierra Leone 11 10 6 30 5

31 Egypt 10 7 6 32 5

32 Congo 13 6 6 24 5

33 Morocco 15 11 6 15 5

34 Swaziland 1 11 5 27 5

35 Chad 3 8 5 27 5

36 Mauritius 2 6 5 27 5

37 Somalia 7 5 6 19 5

38 Djibouti 6 8 5 15 5

39 Madagascar 8 8 ; 12 5

40 Tunisia 4 8 5 15 5

41 Algeria 3 7 5 16 5

42 South Sudan 4 4 ; 13 5

43 Sao Tome & Principe - 7 5 10 5

44 Sudan 1 3 5 11 5

45 Central African Rep. 2 6 5 6 ;

46 Angola 5 6 5 2 6

47 Mauritania 1 2 5 10 5

48 Equatorial Guinea 1

7

5 4

6

49 Comoros 1

1

; 8

5

50 Guinea-Bissau 1

7

5 -

6

51 Cape Verde -

2

5 4

5

52 Libya -

1

5 2

5

53 Seychelles -

1

5 -

6

54 Eritrea -

-

; 1

5

2016 2017

APPLICATION DISTRIBUTION

Three-year distribution trend for all 54 participating countries (Stage 2 evaluation)

43


Go

Ba

ck

44


FEMALE PARTICIPATION

Three-year female participation trend for all 54 participating countries

County 2015 Country 2015

1 Nigeria 34% 33% 6 33% 5 28 Guinea 8% 13% 5 7% 6

2 Kenya 21% 40% 5 39% 6 29 Mali 0% 36% 5 30% 6

3 Uganda 19% 31% 5 36% 5 30 Sierra Leone 45% 30% 6 20% 6

4 Ghana 20% 24% 5 29% 5 31 Egypt 40% 0% 6 19% 5

5 Cameroon 19% 24% 5 24% 5 32 Congo 0% 17% 5 25% 5

6 South Africa 41% 58% 5 43% 6 33 Morocco 27% 18% 6 33% 5

7 Tanzania, U.R. 24% 24% 5 34% 5 34 Swaziland 0% 9% 5 22% 5

8 Cote D'ivoire 12% 25% 5 20% 6 35 Chad 0% 13% 5 4% 6

9 Rwanda 27% 36% 5 35% 6 36 Mauritius 100% 17% 6 37% 5

10 Zambia 26% 24% 6 27% 5 37 Somalia 71% 20% 6 5% 6

11 Zimbabwe 22% 34% 5 36% 5 38 Djibouti 17% 0% 6 20% 5

12 Botswana 38% 47% 5 34% 6 39 Madagascar 0% 63% 5 42% 6

13 Congo (DRC) 26% 14% 6 19% 5 40 Tunisia 0% 13% 5 47% 5

14 Benin 11% 27% 5 22% 6 41 Algeria 67% 43% 6 31% 6

15 Ethiopia 10% 12% 5 26% 5 42 South Sudan 25% 25% ; 15% 6

16 Senegal 23% 41% 5 35% 6 43 Sao Tome & Principe 0% 29% 5 20% 6

17 Malawi 11% 26% 5 27% 5 44 Sudan 0% 0% ; 18% 5

18 Burundi 30% 33% 5 19% 6 45 Central African Rep. 0% 0% ; 17% 5

19 Gabon 19% 40% 5 32% 6 46 Mauritania 0% 0% ; 20% 5

20 Burkina Faso 5% 0% 6 11% 5 47 Angola 20% 50% 5 50% ;

21 Togo 5% 7% 5 18% 5 48 Equatorial Guinea 100% 57% 6 50% 6

22 Mozambique 13% 31% 5 22% 6 49 Comoros 0% 100% 5 38% 6

23 Gambia 10% 36% 5 39% 5 50 Cape Verde 0% 50% 5 50% ;

24 Namibia 60% 36% 6 57% 5 51 Guinea-bissau 100% 14% 6 n/a

25 Liberia 27% 20% 6 28% 5 52 Libya n/a 0% 50% 5

26 Niger 27% 21% 6 51% 5 53 Seychelles n/a 0% n/a

27 Lesotho 50% 55% 5 53% 6 54 Eritrea n/a n/a 0%

2016 20172016 2017

Go

Ba

ck

45


FINAL SELECTION DISTRIBUTION

Three-year final selection distribution trend for all 54 participating countries

Country 2015 Country 2015

1 Nigeria 498 591 5 509 6 28 Guinea 5 1 6 2 5

2 Kenya 165

75

6 55

6 29 Mali 5

1

6 2

5

3 Uganda 45

64

5 74

5 30 Sierra Leone 3

1

6 6

5

4 Ghana 36

45

5 24

6 31 Egypt 3

1

6 3

5

5 Cameroon 19

25

5 21

6 32 Congo 2

1

6 4

5

6 South Africa 31

18

6 23

5 33 Morocco 5

1

6 2

5

7 Tanzania 17

13

6 36

5 34 Swaziland 1

1

; 2

5

8 Cote D'ivoire 17

18

5 23

5 35 Chad 1

1

; 6

5

9 Rwanda 15

20

5 23

5 36 Mauritius 1

3

5 2

6

10 Zambia 17

8

6 21

5 37 Somalia 2

2

; 2

;

11 Zimbabwe 12

14

5 17

5 38 Djibouti 1

2

5 3

5

12 Botswana 3

4

5 5

5 39 Madagascar 3

3

; 2

6

13 Congo (DRC) 7

3

6 18

5 40 Tunisia 2

1

6 2

5

14 Benin 10

4

6 20

5 41 Algeria 5

1

6 3

5

15 Ethiopia 9

21

5 10

6 42 South Sudan 1

1

; 2

5

16 Senegal 5

6

5 5

6 43 Sao Tome And Principe 2

1

6 2

5

17 Malawi 4

9

5 6

6 44 Sudan 1

1

; 2

5

18 Burundi 7

8

5 2

6 45 Central African Republic 1

1

; 2

5

19 Gabon 4

5

5 9

5 46 Angola 4

1

6 2

5

20 Burkina Faso 3

3

; 3

; 47 Mauritania 1

1

; 2

5

21 Togo 2

1

6 15

5 48 Equatorial Guinea 1

1

; 2

5

22 Mozambique 4

1

6 2

5 49 Comoros 1

1

; 2

5

23 Gambia 5

3

6 2

6 50 Guinea-Bissau 1

1

; -

6

24 Namibia 3

2

6 3

5 51 Cape Verde 3

1

6 3

5

25 Liberia 3

2

6 2

; 52 Libya -

1

5 2 5

26 Niger 1 4 5 6 5 53 Seychelles - 1 5 - 6

27 Lesotho 3 1 6 3 5 54 Eritrea - - ; 1 5

2016 2017 2016 2017

46


FEMALE FINALIST DISTRIBUTION

Three-year female winner distribution trend for all 54 participating countries

Country 2015

1 Nigeria 35% 33% 6 33% 6

2 Kenya 19% 33% 5 38% 5

3 Uganda 20% 28% 5 47% 5

4 Ghana 19% 33% 5 25% 6

5 Cameroon 21% 16% 6 24% 5

6 South Africa 29% 56% 5 35% 6

7 Tanzania 24% 31% 5 31% 6

8 Cote D'ivoire 6% 33% 5 26% 6

9 Rwanda 27% 35% 5 48% 5

10 Zambia 29% 25% 6 10% 6

11 Zimbabwe 17% 50% 5 41% 6

12 Botswana 67% 75% 5 0% 6

13 Congo (DRC) 43% 0% 6 22% 5

14 Benin 20% 0% 6 30% 5

15 Ethiopia 22% 14% 6 10% 6

16 Senegal 0% 83% 5 60% 6

17 Malawi 0% 22% 5 0% 6

18 Burundi 29% 25% 6 0% 6

19 Gabon 50% 60% 5 22% 6

20 Burkina Faso 0% 0% ; 0% ;

21 Togo 50% 0% 6 13% 5

22 Mozambique 50% 0% 6 50% 5

23 Gambia 0% 100% 5 0% 6

24 Namibia 67% 50% 6 33% 6

25 Liberia 0% 0% ; 0% ;

26 Niger 100% 0% 6 50% 5

27 Lesotho 33% 0% 6 67% 5

2016 2017 Country 2015

28 Guinea 20% 0% 6 0% ;

29 Mali 0% 0% ; 0% ;

30 Sierra Leone 67% 100% 5 17% 6

31 Egypt 33% 0% 6 33% 5

32 Congo 0% 100% 5 0% 6

33 Morocco 20% 100% 5 50% 6

34 Swaziland 0% 0% ; 50% 5

35 Chad 0% 100% 5 0% 6

36 Mauritius 100% 0% 6 50% 5

37 Somalia 0% 0% ; 0% ;

38 Djibouti 0% 0% ; 0% ;

39 Madagascar 0% 67% 5 100% 5

40 Tunisia 0% 0% ; 50% 5

41 Algeria 60% 100% 5 100% ;

42 South Sudan 100% 100% ; 0% 6

43 Sao Tome & Principe 0% 0% ; 50% 5

44 Sudan 0% 0% ; 50% 5

45 Central African Rep. 0% 0% ; 0% ;

46 Angola 25% 100% 5 50% 6

47 Mauritania 0% 0% ; 0% ;

48 Equatorial Guinea 100% 0% 6 50% 5

49 Comoros 0% 100% 5 100% ;

50 Guinea-Bissau 100% 0% 6 0% ;

51 Cape Verde 0% 100% 5 67% 6

52 Libya 0% 0% ; 50% 5

53 Seychelles 0% 0% ; 0% ;

54 Eritrea 0% 0% ; 0% ;

2016 2017

47


TOP 20 COUNTRIES

Three-year distribution trend for top 20 countries

Total applications for each year: 5,204 8,688 10,135

Country 2015 2016 20171 Nigeria 2748 6139 5786

2 Kenya 770 499 606

3 Uganda 166 308 411

4 Ghana 167 252 384

5 Tanzania, United Republic Of 102 134 282

6 Cameroon 163 203 270

7 South Africa 148 134 261

8 Rwanda 59 86 186

9 Botswana 39 49 172

10 Zimbabwe 53 76 132

11 Cote D'ivoire 113 110 155

12 Congo, Democratic Republic Of The 68 49 108

13 Zambia 73 71 131

14 Benin 44 55 125

15 Malawi 9 32 99

16 Ethiopia 30 94 96

17 Senegal 104 29 78

18 Burundi 23 27 63

19 Togo 20 15 56

20 Lesotho 6 11 51G

o B

ac

k

48

APPENDIX I

2015 RESULTS

49


0% 23% 54% 18% 4% 1%

DISTRIBUTION OF SELECTED 1,000 APPLICANTS BY COUNTRIES OF RESIDENCE

Uganda 4.5%

Ghana 3.6%

South Africa 3.1%

Cameroon 1.9%

Tanzania 1.7%

Côte d’Ivoire 1.7%

Zambia 1.7%

Rwanda 1.5%

Zimbabwe 1.2%

Benin 1%

Ethiopia 0.9%

Burundi 0.7%

DR Congo 0.7%

SECTOR DISTRIBUTION AMONG THE FINAL 1,000 SELECTED APPLICANTS

GENDER DISTRIBUTION

29%

71%Country Selected %Nigeria 497 49.7%

Kenya 167 16.7%

Uganda 45 4.5%

Ghana 36 3.6%

South Africa 31 3.1%

Cameroon 19 1.9%

Tanzania 17 1.7%

Côte d’Ivoire 17 1.7%

Zambia 17 1.7%

Rwanda 15 1.5%

Zimbabwe 12 1.2%

Benin 10 1%

Ethiopia 9 0.9%

Burundi 7 0.7%

DR Congo 7 0.7%

Others 94 9.4%

Female

Male

Gender distribution across the Top 10 TEEP 1,000 countries

Nigeria

Kenya

49.7%

16.7%

Others 9.4%

Agriculture

Educationand Training

Commercial / Retail

ICT

Manufacturing

30%

9% 9%

8%

8%

Fashion4%

Media andEntertainment

2%

Healthcare5%

Construction3%

Tourism & Hospitality1%

Energy & Power4%

Transportation2%

Financial Services2%

FMCG2%

Waste Management

2%

Others10%

MaleFemale

Nigeria

Kenya

Uganda

Ghana

South Africa

Cameroon

Tanzania

Côte d’Ivoire

Zambia

Rwanda

81

36

29

22

15

13

16

12

11

321176

31

9

7

7

4

4

1

5

4

<18 18-27 28-37 38-47 48-57 >57

SELECTED 1000 – AGE OF APPLICANTS

30%24%

24% 21%Growth

Early development/Market Testing Idea

Market Entry

STAGE OF BUSINESS AMONG SELECTED 1000 ENTREPRENEURS

THE SELECTED 1,000 (2015)

50

APPENDIX II

2016 RESULTS

51


Fifty-three (53) African countries are represented in the final 1,000 applications, with Nigeria contributing 59%. The regions with the highest representation are West (68%) and East (25%) Africa.

Thirty-two percent (32%) of the final 1,000 selected applicants are female.

Fifteen (15) countries had a higher female-to-male ratio in the final 1,000 entries: Algeria, Angola, Burkina Faso, Botswana, Cape Verde, Chad, Comoros, Congo, Gabon, Gambia, Madagascar, Morocco, Senegal, Sierra Leone and South Sudan.

DISTRIBUTION OF SELECTED 1,000 APPLICANTS BY REGION

Western Africa 68.3%Nigeria 591 59.1%

Ghana 45 4.5%

Cote D'Ivoire 18 1.8%

Senegal 6 0.6%

Niger 4 0.4%

Benin 4 0.4%

Gambia 3 0.3%

Burkina Faso 3 0.3%

Liberia 2 0.2%

Cape Verde 1 0.1%

Togo 1 0.1%

Guinea 1 0.1%

Sierra Leone 1 0.1%

Mali 1 0.1%

Mauritania 1 0.1%

Guinea-Bissau 1 0.1%

Northern Africa 0.7%Algeria 1 0.1%

Sudan 1 0.1%

South Sudan 1 0.1%

Egypt 1 0.1%

Tunisia 1 0.1%

Libyan Arab J. 1 0.1%

Morocco 1 0.1%

Eastern Africa 24.5%Kenya 75 7.5%

Uganda 64 6.4%

Ethiopia 21 2.1%

Rwanda 20 2.0%

Zimbabwe 14 1.4%


Malawi 9 0.9%

Burundi 8 0.8%

Zambia 8 0.8%

Madagascar 3 0.3%

Mauritius 3 0.3%

Djibouti 2 0.2%

Somalia 2 0.2%

Seychelles 1 0.1%

Comoros 1 0.1%

Mozambique 1 0.1%

Central Africa 3.9%Cameroon 25 2.5%

Gabon 5 0.5%

Congo, DR 3 0.3%

Angola 1 0.1%


Central African Rep. 1 0.1%

Sao Tome & Principe 1 0.1%

Chad 1 0.1%

Congo 1 0.1%

Southern Africa 2.6%South Africa 18 1.8%

Botswana 4 0.4%

Namibia 2 0.2%

Swaziland 1 0.1%

Lesotho 1 0.1%

68.3%

24.5

%

3.9%

2.6%

0.7%

SECTOR DISTRIBUTION AMONG THE FINAL 1,000 SELECTED APPLICANTS

GENDER DISTRIBUTION

Female Male

32%

68%43% 57%

33%

67%

26%

46%76%54%

29%

71%

Agriculture

Manufacturing

Education and Training

Commercial/Retail

ICT

Fashion

Energy/ Power Generation

Healthcare

Media and Entertainment

Waste Management

Construction


FMCG

Tourism/Hospitality

Transportation

Consulting

Financial Services

Haulage/Logistics

Oil & Gas

Telecom

Aviation

93 41 17

79 40 8

7626 5

7727 7

5923 4

4420 2

288 44 20

THE SELECTED 1,000 (2016)

52

ACKNOWLEDGMENTS

1. TEF TRUSTEES

Tony O. Elumelu, CON

Dr. Awele V. Elumelu

Alexander Trotter

Michael Porter, Founding Patron

2. TEF ADVISORY BOARD

Lionel Zinsou

Lady Lynn De Rothschild

Jamie Cooper-Hohn

3. OUR STAFF

Parminder Vir, Chief Executive Officer

Owen Omogiafo, Chief Operating Officer

Bolanle Omisore, Head, Marketing & Corporate

Communications

Mazzi Odu, Head, Foundation Projects

Funmi Obileye, Partnerships Manager

Onajite Ogwo, Entrepreneurship Programme

Manager

Tope Adubi, Digital Marketing Manager

Folarin Aiyegbusi, IDEMS Specialist

Kemi Michael Jabagun, Alumni Manager

Ebube Okechukwu, Digital Media Executive

Nwamaka Ogbonna, Research Analyst

4. OUR SUPPORT STAFF

Oyindamola Oyeduntan

Austine Abolusoro

Uwem Uwemakpan

Christiana Mobolaji

John Okonkwo

Gloria Agugua

5. TEF ENTREPRENEURSHIP PROGRAMME SELECTION COMMITTEE

Angelle Kwemo

Nimi Akinkugbe

Amadou Hott

Martin Eigbike

Prof Ndubuisi Ekekwe

Marieme Jamme

Monica Musonda

Vera Songwe

Ory Okolloh

Ayodeji Adewunmi

6. ACCENTURE DEVELOPMENT PARTNERS

Osato Noah

Omowunmi Adenuga-Taiwo

7. OTHER

Roundstone Consulting

Crenet

www.linkedin.com/company/The-Tony-Elumelu-Foundation

#TEF2017 #AfricanEntrepreneurs

www.tonyelumelufoundation.org/programme

www.tonyelumelufoundation.org

[email protected]

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Documents

1,000 WAYS TO TRANSFORM AFRICA · THE TONY ELUMELU FOUNDATION ENTREPRENEURSHIP PROGRAMME The Tony Elumelu Foundation (TEF) was founded in 2010 by Tony O. Elumelu, CON, a serial entrepreneur