2012 sub-saharan africa regional snapshot
TRANSCRIPT
The Premier Source for Microfinance Data and Analysis
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Microfinance Information Exchange
2012 Sub-Saharan Africa Regional Snapshot
January 2013
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited.
2
Table of contents
MFIs distribution across SSA
Outreach
Performance drivers
Funding flows
A look at Regional Economic Communities (REC)
Conclusion
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3
MFIs distribution across SSA
MFIs distribution across SSA
Outreach
Performance drivers
Funding flows
A look at Regional Economic Communities (REC)
Conclusion
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4
A look at microfinance in SSA
Number of reporting institutionsShade indicates total number of institutions
0 1-9 10-18 19-40Total Number of institutions: 259
The following report is a deep-dive into the 259 institutions that reported to MIX in the 2011 financial year.
Countries included in this report Bank Coop
. NBFI NGO
CEMAC
Cameroon, Central African Republic, Chad, Republic of Congo
0 4 5 1
EAC Burundi, Kenya, Rwanda, Tanzania and Uganda
8 17 24 10
SADC*
Angola, Democratic Republic of Congo (DRC), Madagascar, Malawi, Mozambique, Namibia, South Africa, Swaziland, Zambia and Zimbabwe
6 4 11 14
WAMU
Benin, Burkina Faso, Ivory Coast, Mali, Niger, Senegal and Togo
0 54 8 19
Other Ghana 0 0 12 6Ethiopia 0 0 3 0Nigeria 38 0 0 2Comoros, Guinea, Liberia, Sierra Leone, South Sudan 1 5 2 2
* Tanzania, member of both EAC and SADC, has been included in the EAC sample for the purpose of this report.
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5
Regional concentration of charter types
Number of reporting institutions
0 1-9 10-18 19-40Total Number of institutions: 53
Bank
Number of reporting institutions
0 1-5 6-10 11-15Total Number of institutions: 84
Cooperative NBFI
Number of reporting institutions
0 1-4 5-9 10-14Total Number of institutions: 64
Number of reporting institutions
0 1-2 3-4 5-7Total Number of institutions: 54
NGO
While NBFIs and NGOs are spread relatively evenly in SSA, Banks and Cooperatives are respectively absent in West Africa (except in Nigeria) and southern Africa.
Please note the sliding scale by color across the charter types
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6
Outreach
MFIs distribution across SSA
Outreach
Performance drivers
Funding flows
A look at Regional Economic Communities (REC)
Conclusion
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7
Growth trends
Access the graphs’ data
In 2011, in terms of both borrowers and depositors, numbers in SSA recovered slightly from previous losses (10% and 9% growth respectively) due to sustained economic growth across the region despite the global economic slowdown.SSA remains the second largest regional market in terms of number of depositors. If this trends continues, then SSA will be the leader in depositors as of 2012.
2009 2010 20110
10,000,000
20,000,000
30,000,000
40,000,000
50,000,000
60,000,000
Growth of active borrowers
SSA EAP ECA LAC MENA SA
2009 2010 20110
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
30,000,000
35,000,000
40,000,000
Growth of depositors
SSA EAP ECA LAC MENA SA
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8
Depositors dominant in SSA
SSA is the only region globally with depositors far outnumbering borrowers at three to one.
Access the graph’s data
SSA
EAP
ECA
LAC
MENA
SA
0 10,000,000 20,000,000 30,000,000 40,000,000 50,000,000 60,000,000 70,000,000
Borrowers vs. Depositors (2011 FYE)
Number of active borrowers Number of depositors
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9
SSA: Outreach by charter
A deeper look into SSA shows that depositors are dominant across all charter types except for NGOs which are often not allowed to collect deposits. Banks and Cooperatives are the clear drivers with depositors outnumbering borrowers 6:1 and 5:1, respectively.
Access the graph’s data
Bank Cooperative NBFI NGO0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
Borrowers and depositors by charter type (2011 FYE)
Number of active borrowers Number of depositors
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10
Heterogeneity in loan balances across charters
NGOs and NBFIs disburse the lowest average loan amounts indicating that they target more low-income clients than Banks and Cooperatives do.
Access the graph’s data
Bank Cooperative NBFI NGO$0
$200
$400
$600
$800
$1,000
$1,200
$1,400
Average loan balance per borrower (2011 FYE)
SSA
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11
Linked with the depth of outreach
Despite the fact that 73% of Cooperatives reporting SP data consider women as part of their target market, Cooperatives are the only charter with less than half of female borrowers. They are also the least rural-focused with less than one-quarter of clients in rural areas. Two drivers of this are the Ivory Coast and Senegal, who account for over one-third of all Cooperatives’ borrowers in SSA. They are especially urban-oriented with only 18% and 14% rural clients, respectively.
Access the graph’s data
Inversely, NGOs serve the highest percentage of women, and NBFIs have the greatest percentage of rural clients.
Bank Cooperative NBFI NGO0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Percent of female and rural borrowers (2011 FYE)
Percent of female borrowers Percent of rural borrowers
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12
Performance drivers
MFIs distribution across SSA
Outreach
Performance drivers
Funding flows
A look at Regional Economic Communities (REC)
Conclusion
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13
Return-on-Assets (ROA) by charter
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Across SSA, Banks are the drivers of profitability, but NGOs achieved the strongest ROA growth thanks to a 6 percentage point increase in their financial revenue/assets ratio between 2010 and 2011. During this period, other charters experienced changes of -4 to 0 percentage points.
2009 2010 2011
-2%
-1%
0%
1%
2%
3%
4%
5%
6%
ROA trend
Bank Cooperative NBFI NGO SSA
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14
Operating costs by charter
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Despite having the highest personnel expense/GNI ratio, Banks maintained the lowest personnel expense ratio due to a large asset base. Meanwhile, NGOs, with the second highest personnel expense/GNI ratio, have the highest personnel expense ratio due to a much lower asset base.
Additionally, Banks maintained the lowest operating expense ratio partially because of their high average loan balance. Conversely, NGOs have the lowest average loan balance but the highest operating expenses.
Bank Cooperative NBFI NGO SSA0%
5%
10%
15%
20%
25%
30%
Breakdown of operating expenses by legal status (2011 FYE)
Average of Personnel expense/ assets Average of Depreciation and amortisation expense/assetsAverage of Administrative expense/ assets
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15
A look at scale
Another factor that determines costs is the size of institutions: Large institutions (GLP > USD 8 million), regardless of their legal status, kept operating costs as low as 11%.
Access the graph’s data
Access the graph’s data
Amongst Large institutions, NGOs are the least numerous.Among Small institutions, the majority of the Banks are located in Nigeria.As for Small Cooperatives, over three quarters of them are from WAMU.
Large
Medium
Small
0% 5% 10% 15% 20% 25% 30%
Operating expenses/assets by scale (2011 FYE)
Operating expenses/assets
Large Medium Small0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Breakdown of GLP size by legal status (2011 FYE)
Bank Cooperative NBFI NGOThe data set includes 122 small institutions, 68 medium institutions and 64 large institutions.
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16
Funding structure by region
Access the graph’s data
Deposits represent a major share of the funding structure of SSA MFIs, second after EAP.
Although SSA has a greater number of depositors than EAP, the average deposit balance per depositor is nine times lower than in EAP.
SSA EAP ECA LAC MENA SA0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
Funding structure and financial expense by region (2011 FYE)
Equity Deposits Borrowings Financial expense/ assets
Tota
l Fun
ding
Tota
l Ass
ets
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17
Different determinants for financial expenses
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NGOs and NBFIs are the most reliant on external debt
NGOs are not always allowed to collect deposits, they also maintained the highest share of equity due to donated equity (25% of their equity base).
Banks and Cooperatives maintained low amounts of external debt
With deposits accounting for over 70% of their funding structure, Cooperatives have the lowest financial expenses.
Banks have high financial expenses since they bear the highest volume of borrowings in absolute terms as well as the highest cost of borrowings in 2011.
NBFIs have a similar structure to NGOs with a slightly higher focus on deposits.
Bank Cooperative NBFI NGO0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
Funding structure and financial expense by charter type (2011 FYE)
Equity Deposits Borrowings Financial expense/ assets
Tota
l Fun
ding
Tota
l Ass
ets
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18
Funding flows
MFIs distribution across SSA
Outreach
Performance drivers
Funding flows
A look at Regional Economic Communities (REC)
Conclusion
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19
Funding commitment across SSA in 2011
The 10 countries with the highest ROA significantly overlap with the countries that have the highest amounts of committed cross-border funding.
Top 10 ROA countries (with data available for more
than 3 MFIs)
ROA (weighted average)
Funding by
recipient country (Million
USD)Ethiopia 8.17% 161DRC 7.69% 57Nigeria 7.41% 71South Africa 5.61% 6Kenya 4.75% 143Uganda 4.51% 160Tanzania 2.99% 182Ghana 2.09% 128Senegal 1.90% 91Cameroon 1.53% 30
Access the table’s data Graph from the 2012 CGAP Survey on Cross-border Funding for Microfinance
Tanzania, Ethiopia, Uganda, Kenya and Ghana alone account for 30% of commitments.
Amount of cross-border funding (USD)
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20
Focus on cross-border commitment
The top 10 recipient countries as compared to SSA are attracting significant shares of debt and guarantees (over 60%), but equity is mostly going to other countries.
Dec09 Dec10 Dec11$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
Trends by instrument
Debt Grant Guarantee Equity Unspecified
Mill
ion
s
Cross-border commitments in SSA are increasing: while grants and debts dominate, equity is on the rise.
Data from the 2012 CGAP Survey on Cross-border Funding for Microfinance
Mill
ion
s
Debt Grant Guarantee Equity Other$0
$200
$400
$600
$800
$1,000
$1,200
Top 10 recipients, breakdowns by instrument (As of Dec. 2011)
Top10 All SSA
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21
Commitment designation
Over one-third of the funding commitments to SSA are for “capacity building” purposes, whereas globally “capacity building” only amounts to 16% of commitments.As a young microfinance market, SSA still has a significant need for capacity building.
Dec07 Dec09 Dec11$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
Trends by Funding Purpose
Capacity Building Refinancing Unspecified
Mill
ion
s
Data from the 2012 CGAP Survey on Cross-border Funding for Microfinance
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22
Local funding
Over one-third of the funding for SSA is provided by funders within the region, which charge higher interest rates than foreign funders do.
Bank Cooperative NBFI NGO$0
$100,000,000$200,000,000$300,000,000$400,000,000$500,000,000$600,000,000$700,000,000$800,000,000$900,000,000
Types of local lender by legal status (2011 FYE)
DFI Financial Institution FundGovernment Other
DFI Financial Institution Fund Government Other0
20
40
60
80
100
120
0%
2%
4%
6%
8%
10%
12%
Maturity and rate by local lenders (2011 FYE)
Average term (months) Average interest rate
Mon
ths
Amount lent by funder region (2011 FYE)
SSA Others
Data from the 2012 MIX Funding Structure Database – Funding structure database covers 59 institutions of SSA, hence the discrepancy from earlier described borrowings.
NBFIs receive the majority of local funding in SSA, predominantly coming from financial institutions, which carry the highest interest rate (11%) of all local lenders. Over the period 2008-2011, over 80% of NBFIs’ local funding went to Ethiopia and Kenya (38% and 45% respectively).
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23
Foreign funding
DFI Financial Institution Fund Government Other0
102030405060708090
100
0%1%2%3%4%5%6%7%8%9%10%
Maturity and rate by foreign lender (2011 FYE)
Average term (months) Average interest rateM
onth
s
Bank Cooperative NBFI NGO$0
$100,000,000
$200,000,000
$300,000,000
$400,000,000
$500,000,000
$600,000,000
$700,000,000
Types of foreign lender by legal status (2011 FYE)
DFI Financial Institution FundGovernment Other
Among all charter types, banks are the ones attracting the largest amount of foreign funding (40%).
Among foreign funders, Funds and DFIs are the most active in SSA, accounting for 54% and 28% of all foreign funding respectively. They also carry the highest interest rates.However, foreign lenders overall provide cheaper funding than local lenders at an average rate of 9% per annum vs.10% for local lenders.
Data from the 2012 MIX Funding Structure Database – Funding structure database covers 59 institutions of SSA, hence the discrepancy from earlier described borrowings.
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24
A look at Regional Economic Communities (REC)
MFIs distribution across SSA
Outreach
Performance drivers
Funding flows
A look at Regional Economic Communities (REC)
Conclusion
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25
Zoom at regional economic community level
Cooperatives, fostered by the PARMEC law, dominate the sector in WAMU.Expectations for landscape diversification grew with the new microfinance law and NBFIs are starting to emerge.
For-profit institutions (NBFIs and Banks) are shaping the landscape in the East African Community (EAC), accounting for over half of all reporting institutions.
MFIs distribution in WAMU (Dec. 2011)*
Cooperative Bank NBFI NGO
MFIs distribution in EAC (Dec. 2011)*
Cooperative Bank NBFI NGO
Access the charts’ data
*The charter type distribution is based on the count of MFIs reporting to MIX in 2011, by charter type
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26
Current status of new microfinance law adoption in WAMU
PARMEC law
Adopted in 1993 by the Council of Ministers of WAMU, the PARMEC law established the conditions governing the exercise of mutual or cooperative savings and credit institutions in the community.In 1996, a framework agreement was adopted to guide registration for non-mutualist MFIs excluded from the law.
New law
The new law (the Regulatory law of Decentralized Financial System) was adopted in 2007 by the Council of Ministers and replaces the PARMEC law. Primarily, it implements a single licensing scheme for all charter types.At the national level, each WAMU member country is obligated to pass the law.
SenegalLaw n°
2008-47 adopted in 2008
TogoLaw n°
2011-009 adopted in 2011
Bissau GuineaLaw
n°9/2008 adopted in 2008
Ivory CoastLaw
n°2011-367
adopted in 2011
NigerLaw n°
2010-04 adopted in 2010
BeninLaw n°
2012-14 adopted in 2012
MaliLaw n°10-
013 adopted in 2010
Burkina FasoLaw
n°023-2009/AN
adopted in 2009
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27
Returns by REC
Access the graphs’ data
WAMU EAC CEMAC
SADC SSABy 2011, EAC was the only REC to maintain a positive ROA.While SADC is on the rebound, WAMU and CEMAC each had declining ROAs in 2011.Without Namibia, SADC’s ROA would be positive in 2009 and 2010, and -1% in 2011.
WAMU achieved the lowest financial revenue possible due to the low level of interest rates MFIs can charge (a price cap, aka the TEG, is set at 27% for all MFIs).
WAMU EAC CEMAC SADC SSA0%5%
10%15%20%25%30%35%40%45%50%
Expenses and Revenues (2011 FYE)
Total expense/ assets Financial revenue/ assetsAverage of Yield on gross portfolio (nominal)
'09 '10 '11 '09 '10 '11 '09 '10 '11 '09 '10 '11 '09 '10 '11-20%
-15%
-10%
-5%
0%
5%
10%
Returns on assets (2011 FYE)
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28
Zoom on Ghana, Ethiopia and Nigeria
Due to the June 30 FYE in Ethiopia, annual figures have not yet been captured for that market. Please refer to MIX’s Ethiopia country page for a more comprehensive view on that market as of March 31, 2011.
Remainder of SSA64%
Nigeria17%
Ghana5%
Ethiopia14%
Total borrowers (2011 FYE)
Ghana Ethiopia Nigeria0%
10%
20%
30%
40%
50%
60%
Expenses and revenues (2011 FYE)
Total expense/ assets Financial revenue/ assets
Average of Yield on gross portfolio (nominal)
Ghana, Ethiopia and Nigeria, not captured in the analysis by REC, together account for over a third of SSA’s total borrowers.
All three countries achieved an increase in ROA in 2011 after a decrease in 2010.
'09 '10 '11 '09 '10 '11 '09 '10 '110%
2%
4%
6%
8%
10%
12%
Return on assets (2011 FYE)
Ghana Ethiopia Nigeria
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29
Is risk decreasing in SSA?
2009 2010 20110%
2%
4%
6%
8%
10%
12%
Risk trends in SSA (2011 FYE)
Portfolio at risk > 30 days Write-off ratio
Access the graph’s data
There has been a substantial decrease in PAR>30 over 2011 thanks to efforts in WAMU and EAC. In EAC, Kenya and Burundi particularly shaped this trend: PAR 30 decreased in each country by 12 percentage points.
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30
Risk level by REC
High risk in SADC is mainly driven by Malawi, Zambia and Mozambique.EAC is the only regional economic community maintaining a PAR>30 below 5%.
Ivory Coast is a driver of high risk for WAMU. The share of the portfolio written off in 2011 reflects the impact of the 2010 disputed elections and ensuing political crisis.
Access the graph’s data
Ivory Coast 2009 Ivory Coast 2010 Ivory Coast 20110%
5%
10%
15%
20%
25%
30%
35%
Risk in Ivory Coast
Portfolio at risk > 30 days Write-off ratio
WAMU EAC CEMAC SADC SSA0%
2%
4%
6%
8%
10%
12%
Risk by REC (2011 FYE)
Portfolio at risk > 30 days Write-off ratio
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31
Conclusion
MFIs distribution across SSA
Outreach
Performance drivers
Funding flows
A look at Regional Economic Communities (REC)
Conclusion
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32
Conclusion
Despite localized high risk levels, overall risk is decreasing in SSA.
Each charter type is clearly shaping the landscape where it is most prevalent.
Foreign funding remains prevalent and represents the most attractive funding conditions in SSA.
SSA’s positive ROA trends are led by East Africa.
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33
Data sources
Performance of microfinance
providersMIX Market
Funding structure MIX Market Funding Structure Data
Cross-border funding CGAP Cross-Border Funding Survey
SSA Financial inclusion map MIX: Mapping Africa Financial Inclusion
WAMU status of microfinance law
adoptionBanque Centrale des Etats de l’Afrique de l’Ouest
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34
Acronyms
CEMAC Communauté Economique et Monétaire de l'Afrique Centrale: Cameroon, Republic of Congo, Equatorial Guinea, Gabon, Central African Republic, Chad.
ECA Eastern Europe and Central Asia
EAC East African Community: Burundi, Kenya, Rwanda, Tanzania and Uganda.
EAP East Asia and the Pacific
DFI Development finance institution
LAC Latin America and the Caribbean
Large Gross Loan Portfolio > 8 million USD
Medium Gross Loan Portfolio between 2 and 8 million USD
MENA Middle East and North Africa
NA North America
PARMEC Projet d'Appui à la Réglementation des Mutuelles d'Epargne et de Crédit
REC Regional Economic Community
SA South Asia
SADCSouthern African Development Community: Angola, Botswana, Democratic Republic of Congo, Lesotho, Madagascar, Malawi, Mauritius, Mozambique, Namibia, Seychelles, South Africa, Swaziland, Tanzania, Zambia and Zimbabwe.
Small Gross Loan Portfolio < 2 million USD
SSA Sub-Saharan Africa
WAMU West African Monetary Union: Benin, Burkina Faso, Bissau Guinea, Ivory Coast, Mali, Niger, Senegal and Togo.
WE Western Europe
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