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1 
A project of FSD Kenya, 2014 
Kenya Financial Diaries Project 
Making Ends Meet in the Land of M-PESA & Branchless Banking 
Julie Zollmann 
September 2014
2 
A project of FSD Kenya, 2014
3 
A project of FSD Kenya, 2014 
Today’s Agenda 
1 
•Background & Methods 
2 
•Livelihoods 
3 
•Financial Tools 
4 
•Social Networks 
5 
•Going Digital 
6 
•Applying Insights
4 
A project of FSD Kenya, 2014 
A few opening clarifications 
•Chama: Savings group, generally of two forms—rotating (ROSCA) or accumulating (ASCA) 
•Resources Received, or “RR”: Contributions and remittances from friends and relatives 
•US$ 1≈ KSh 85
1 
Background & Methods
6 
A project of FSD Kenya, 2014 
Why Diaries? New insights into money management and financial service needs 
Large, one- time surveys 
Financial Diaries 
Small-scale qualitative studies 
Complementary methodology 
Systematic 
& 
Deep 
Enables deeper triangulation 
Ex: FinAccess 
Ex: Financial Landscapes
7 
A project of FSD Kenya, 2014 
Sample selected to include diverse households in different livelihoods zones. 
Kenya Financial Diaries Sites 
Eldoret 
Vihiga 
Makueni 
Nairobi 
Mombasa 
Aim=300 Households 
(Ended with 298) 
Equally distributed across the five areas 
Urban 
Rural 
31% 
69% 
32% 
68% 
Diaries 
Census
8 
A project of FSD Kenya, 2014 
At the core of methodology is capturing “cash flows,” in Kenya, at transaction level. 
3000 
(100) 
(30) 
(20) 
(30) 
(35) 
(20) 
(20) 
(20) 
(10) 
(20) 
(100) 
(400) 
(1000) 
(500) 
0 
500 
1000 
1500 
2000 
2500 
3000 
3500 
Transactions for One Day, Business Owner in Vihiga 
Income— business revenues & expenses 
Expenditures on household food, gas, groceries, mobile credit/airtime, "kitu kidogo" 
Financial Flows-- Payments to chamas 
500,000 transactions in the database 
US$ 847,000 in financial flows
9 
A project of FSD Kenya, 2014 
2 
Livelihoods: Diverse & Volatile
A project of FSD Kenya, 2014 10 
We had an explicit focus on 
the low-income segment. 
$2 per day line $5 per day line 
0 
10 20 30 40 
Percent 
0 5000 10000 15000 20000 
av_adj_mo_cons_pc 
Per Capita Household Monthly Consumpton 
72% 
95% 
Average Per Capita Monthly Consumption 
Median Monthly Household 
Income: KSh 7,120 ($84) 
Median Monthly Per Capita Income: 
KSh 2,167 ($25.50)
11 
A project of FSD Kenya, 2014 
1% 
8% 
27% 
2% 
1% 
16% 
20% 
18% 
8% 
25% 
17% 
30% 
27% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
80% 
90% 
100% 
At Screening 
Actual Cash Flows 
Distribution of households' main income source (%) 
Self-employment 
Casual 
Agriculture 
Regular 
Other 
Resources Received (RR) 
Non-employment 
We sampled for diversity in main income source. Respondents under estimate reliance on RR and overestimate agriculture.
A project of FSD Kenya, 2014 12 
0 
10 20 30 
Percent 
0 5 10 15 20 25 
income_count_worr 
But, most households have 
MANY income sources. 
0 5 
10 15 
0 10 20 30 40 50 
income_count 
Median=10 Median=5 
Total Income Source Count Income Source Count, Without RR 
South Africa Comparison 
Median = 4 
South Africa Comparison 
Median = 3
13 
A project of FSD Kenya, 2014 
Example, Mary’s Household 
•Lives with husband and 4 children (ages 5-19) in Mombasa; 
•15 Income sources for household: 
–8 resources received, mostly in kind 
–3 casual jobs for Mary and husband: winnowing beans, construction labour, building contracts 
–One business—fried potatoes (“bhajia”) 
–2 charity resources: hospital, children’s fund 
–Campaign contributions 
For example, consider “Mary’s” household.
14 
A project of FSD Kenya, 2014 
That can mean, that income is a constant patchwork of sources, like it is for George’s family. 
0 
5000 
10000 
15000 
20000 
25000 
30000 
Oct-12 
Nov-12 
Dec-12 
Jan-13 
Feb-13 
Mar-13 
Apr-13 
May-13 
George's Monthly Household Income (KSh) 
Temporary--Veterinary officer 
Temporary work--Contracts for 
construction 
Self-employment--Carpentry 
Resources Received (6 sources) 
Other--campaign gifts 
Other--Research gifts 
Agriculture--Tea 
Agriculture--Milk 
Agriculture--Beans 
Agriculture--Maize 
Agriculture--Vegetables
15 
A project of FSD Kenya, 2014 
Or that livelihoods strategies are frequently shifting. 
0 
2000 
4000 
6000 
8000 
10000 
12000 
14000 
16000 
Aug-12 
Sep-12 
Oct-12 
Nov-12 
Dec-12 
Jan-13 
Feb-13 
Mar-13 
Apr-13 
May-13 
Jun-13 
Jul-13 
Aug-13 
Sep-13 
Oct-13 
Jennifer's Monthly Household Income (KSh) 
Other--Research gifts 
Resource Received--Former 
Mother-in-Law 
Resource Received--Friend 
Resource Received--Boyfriend 
Resource Received--Friend 
Other/RR--Prostitution 
Casual-Barmaid 
Casual--Canteen Attendant 
Casual-Washing 
Self-employment--Chapati
16 
A project of FSD Kenya, 2014 
We quantify volatility into % monthly fluctuation. 
0 
2000 
4000 
6000 
8000 
10000 
12000 
14000 
16000 
Aug-12 
Sep-12 
Oct-12 
Nov-12 
Dec-12 
Jan-13 
Feb-13 
Mar-13 
Apr-13 
May-13 
Jun-13 
Jul-13 
Aug-13 
Sep-13 
Oct-13 
Jennifer's Monthly Household Income (KSh) 
=(푆푡푎푛푑푎푟푑 퐷푒푣푖푎푡푖표푛)/푀푒푎푛
17 
A project of FSD Kenya, 2014 
Income fluctuates dramatically from month to month. 
55% 
54% 
64% 
54% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
Rural 
Urban 
Median Income Volatility (%) 
Total Income 
Income without 
Resources Received
18 
A project of FSD Kenya, 2014 
Consumption also fluctuates dramatically from month to month. 
54% 
42% 
45% 
42% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
Rural 
Urban 
Median Consumption Volatility (%) 
Consumption 
Expenditure Volatility 
Consumption Volatility-- 
Incorporating Home 
Production
19 
A project of FSD Kenya, 2014 
Food is a major piece of the expenditure budget. 
Food 48% 
Housing 8% 
Education 11% 
Energy 4% 
Communications 2% 
Water 1% 
Transport 5% 
Household items/ cleaning supplies 2% 
Other needs 19% 
Median Share of Consumption (%)
20 
A project of FSD Kenya, 2014 
3 
Financial Tools for Liquidity & Investment
21 
A project of FSD Kenya, 2014 
When your budget is tight and you face volatility, lots of energy goes to creating budget elasticity. 
What you might be able to raise from social network 
≈15% at median, but for some can reach ≈500%+ 
Minimum Budget 
Extra depending on ≈54% income fluctuation 
Possible credit 
≈53% at median, up to 200%+ 
Liquid savings 
≈12% at median 
Somewhat secure 
stretch 
stretch
22 
A project of FSD Kenya, 2014 
But, also need to generate funds for investment.
23 
A project of FSD Kenya, 2014 
Living on little money makes most more active money managers. Different devices do different financial jobs and help meet different liquidity needs. 
Patrick 
Jua kali artisan worker in Nairobi who supports three sons with him and wife and kids upcountry 
Median HH=14 devices
24 
A project of FSD Kenya, 2014 
-12000 
-10000 
-8000 
-6000 
-4000 
-2000 
0 
2000 
4000 
6000 
8000 
Patrick's Daily Financial Flows (KSh) 
Those financial devices are used very actively. 
Inflows—Withdrawals, New Loans, Payouts, Payments from Clients 
Outflows—Deposits, Loan payments 
Median Total Flows Per HH (entire year): 
KSh 88,307 ($1039)
25 
A project of FSD Kenya, 2014 
While most value is held in physical assets, we do not observe “saving” in sellable assets. 
225,750 
($2656) 
2,425 
($29) 
8,700 
($102) 
Median Physical vs. Financial Assets (KSh) 
Physical Assets--Illiquid 
Physical Assets--Liquid 
Financial Assets 
Property (land/homes) accounts for 65% physical asset value at median. 
The action is in financial devices.
26 
A project of FSD Kenya, 2014 
Low income Kenyans are serious savers. 
8,700 
3,288 
- 
1,000 
2,000 
3,000 
4,000 
5,000 
6,000 
7,000 
8,000 
9,000 
10,000 
Financial Assets--Median Closing 
Balance 
Financial Liabilities--Median Closing 
Balance 
Median Closing Balances Financial Assets & Liabilities (KSh) 
39 days’ income 
16 days’ income
27 
A project of FSD Kenya, 2014 
Especially compared to low income people in other emerging markets. But high saving among poor can be consequence of volatility, not always indicator of wealth accumulation. 
Based on target markets below poverty line in each market and Diaries sample as whole. www.gafis.net 
1 
0 
0 
17 
12 
38 
39 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
South 
Africa 
Mexico 
India, 
Remittance 
Senders 
India, 
Remittance 
Receivers 
Colombia 
Kenya, 
GAFIS 
Kenya, 
Diaries 
Median Days of Saving Among Poor (Source: GAFIS Surveys Collected by BFA, 2011)
28 
A project of FSD Kenya, 2014 
Most financial asset value is kept in informal devices. 
Formal 9% 
Informal 91% 
Share of Financial Assets that are Formal, Median
29 
A project of FSD Kenya, 2014 
But money not immediately on hand. 
Liquid 10% 
Illiquid 90% 
Share of Financial Assets that are Liquid, Median 
Strategy of channeling savings to less accessible vehicles= 
Intentional 
Enables investment via assets.
30 
A project of FSD Kenya, 2014 
Money should be WORKING! Ex. Collins, Nairobi businessman 
Assets 
Value 
Active? 
Restricted Savings Account 
1,200 
No 
Mobile Money 
1,230 
No 
Savings Account– Bank 
12,670 
Enables loan 
Savings Account—SACCO 
12,000 
Enables loan 
M-SHWARI 
1,450 
Enables loan 
ASCA #1: Firewood Group 
65,600 
Enables loan, provides capital to members 
ASCA #2: Glory Group 
31,000 
Enables loan, provides capital to members 
ASCA #3: Twendane Hai 
36,000 
Enables loan, provides capital to members 
ASCA #4: Karimu 
6,750 
Enables loan, provides capital to members 
ASCA #5: Wamama (Women’s Group) 
3,000 
Enables loan, provides capital to members 
Shares in Muramati 
5,200 
Enables loans 
Stocks in Kengen 
200 
Seen as investment, earning returns 
Stocks in Safaricom 
1,700 
Seen as investment, earning returns 
Wage & rental arrears owed to him 
1,250 
Owed back to him, while helping others 
Lending to family and friends 
15,000 
Owed back to him, while helping others 
Credit given to clients 
2,870 
Owed back to him, while helping others 
Liquid money 
2,430 
Illiquid, working money 
194,690 
Liquid, but not working 
(US$29) 
(US$2,290)
31 
A project of FSD Kenya, 2014 
The result, is that—even when people save—money is not always available when it’s really needed. 
38% 
57% 
25% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
Foregone medical care 
Child sent from school 
Hunger 
Share of households that experienced at least once during study
32 
A project of FSD Kenya, 2014 
And barriers to things like medical treatment can be really small! 
$0.82 
•Christine paid for consultation, but did not have $0.82 for medication. 
$0.59 
•Two children were sent from school lacking an exam fee of $0.59 each. 
$0.59 
•There was no money for food. A customer came late at night to buy tomatoes for $0.59, but the shops where they could buy unga were already closed.
33 
A project of FSD Kenya, 2014 
While at the same time, investment comes slowly through chamas. Loans with appropriate sizes and terms may not be available or feel too risky for investment. 
Generates $2.35 per day Repair of $388 3 month delay in repairs
34 
A project of FSD Kenya, 2014 
Large sources of liquidity are not available to most from savings. 
600 
1,500 
290 
600 
1,525 
5,000 
Mobile money 
Saving in a ROSCA 
Saving in the house 
Friends and family lending 
Saving in an ASCA 
Checking or current account 
Median Withdrawal Value (KSh) 
Most used FINANCIAL ASSETS 
($7.06) 
($3.41) 
($7.06) 
($58.82) 
($17.65) 
($17.94)
35 
A project of FSD Kenya, 2014 
And borrowing is more for smoothing than investing. 
500 
30 
1,000 
2,000 
18 
500 
Borrowing from friends and family 
Credit at the shop 
Arrears payable (rent, school fees) 
Borrowing from a chama 
Okoa Jahazi (airtime credit) 
Acting as money guard 
Median New Borrowing Value (KSh) 
Most used FINANCIAL LIABILITIES 
($5.88) 
($0.35) 
($11.76) 
($23.53) 
($5.88) 
($0.21)
36 
A project of FSD Kenya, 2014 
Staying stable is bad. The goal is to “develop.” Fewer than half feel they are on that trajectory. 
46% 
41% 
13% 
0% 
5% 
10% 
15% 
20% 
25% 
30% 
35% 
40% 
45% 
50% 
Total 
How has your economic situation changed over the past 5 years (%) 
Better 
Worse 
No change
37 
A project of FSD Kenya, 2014 
Serious Tradeoffs Between Two Important Financial Management Jobs. 
Short-term Liquidity 
Longer-term Investment 
Falling Short on Both
38 
A project of FSD Kenya, 2014 
4 
Social Networks: Filling a Gap
39 
A project of FSD Kenya, 2014 
The social network fills an important gap, particularly in coping with risk. 
53% 
60% 
32% 
35% 
31% 
31% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
Health Need 
Destruction of 
home/land 
Divorce or 
Separation 
Most Important Coping Mechanism for Top Shocks (%) 
Resources Received (RR) 
Borrowing from Friends & 
Family 
Working More
40 
A project of FSD Kenya, 2014 
Social network can provide more financing than savings/borrowing alone. 
-10000 
0 
10000 
20000 
30000 
40000 
50000 
60000 
70000 
80000 
Oct-12 
Nov-12 
Dec-12 
Jan-13 
Feb-13 
Mar-13 
Apr-13 
May-13 
Jun-13 
Jul-13 
Aug-13 
Breakdown of composition of George's income 
Business income 
Agriculture Income 
Resources Received 
Casual income 
Wife sick 
Wife dies 
Waiting for surgery
41 
A project of FSD Kenya, 2014 
But, it can fall short. 
Support from the social network is HUGELY important for dealing with vulnerability.
42 
A project of FSD Kenya, 2014 
•Isaac is fisherman in coast. 
•Wife needed $270 to remove tumor. 
•While resting and “looking for money”, wife saw healer, who charged $212, but accepted the $70 only from Isaac’s sold phone. 
•She died a few days later 
•Immediately after, FLOODED with contributions worth $388 & more later 
1. Network doesn’t always come through on time. 
SOURCES OF FUNDS 
$59 
Borrowed from brother in law 
In Kind 
($60) 
Goat borrowed from neighbor 
$270 
Contributions from family and friends 
$470 
Another 40,000 received from friends and family for Tsunza, 40 days after death 
The social network worked, but imperfectly.
43 
A project of FSD Kenya, 2014 
2. Social networks are exclusive. 
•Though main source of income for 27%... 
–11% of households receive nothing 
–For 30% of households, RR very small (<5% of income) 
•Fewer than ½ of men receive RR
44 
A project of FSD Kenya, 2014 
Net Givers 
Net Receivers 
Av. HH monthly income per capita 
$116 
$53 
Share of income received from others 
3% 
33% 
Share of income given to others 
11% 
3% 
Percent <$2/day 
49% 
72% 
3. Giving can take a toll on the upwardly mobile/slightly better off. 
•23% of respondent households were net givers. 
•RR relationships appear somewhat redistributive. 
•Net givers are better off than net receivers, but not rich.
45 
A project of FSD Kenya, 2014 
William’s savings wiped out by helping brother’s child. 
•William’s brother put him through college as electrician; 
•He saved Ksh 68,000 ($800) in one year attachment. 
•When brother’s child fell in hot mandazi oil, incurred bill of Ksh 180,000 ($2,118). 
–William withdrew his entire savings and handed it over to his brother. 
•Now, William survives on patchy contracts, lives with roommates who are not always a great influence, somewhat stagnant. 
–$800 might have given a cushion or helped him set up a stabilizing business.
46 
A project of FSD Kenya, 2014 
4. Some needs require even larger pool of risk sharing. 
•Robert, 4, has heart defect, KSh 500,000+ ($5,880) for surgery. 
•Entire household earns ≈KSh 5000 ($59) per month. 
•Already held a harambee to raise money for his treatment. Totaled KSh 15,000 ($176), which only gave diagnosis. 
•Medical care accounted for 25% of their total spending in the study.
47 
A project of FSD Kenya, 2014 
Formal offerings can be helpful tools. 
Buying Home 
Saving $176 slowly, privately, accessibly 
Borrowing for Medical 
Borrowing $118 privately to cover embarrassing health need
48 
A project of FSD Kenya, 2014 
But, formal devices not preferred for many needs. Why? 1. “I don’t have enough money to save.” 
Median Monthly Individual Income of Banked 
Median Monthly Individual Income of Unbanked 
$77 
$25 
63% of Unbanked in FinAccess say it’s because they don’t have enough money to bank. 
400 
1500 
1500 
5000 
Median Closing Balance 
Median Withdrawal Value 
Current Account 
ROSCA 
($59) 
($18) 
($18) 
($5)
49 
A project of FSD Kenya, 2014 
2. Reliability in formal falls short of expectations. 
•7% of bank users lost money in the last 10 years 
–Ex: ATM does not dispense, but still deducted (lost $24) 
–Ex: Unexplained withdrawals of Ksh 10,000-11,000 (≈$120) 
–Don’t understand problem 
–No recourse 
–Advantage of bank supposed to be reliability, trust with big money 
“In the bank you do not have a right to explain your views or grievances. But in the chama, it is a free world.”
50 
A project of FSD Kenya, 2014 
There is a higher tolerance for losses in informal products, where the value proposition is different. 
•29% of ROSCA users lost money in the last 10 years 
–Members pay late/default 
–But, default works both ways 
–Advantage of ROSCA is supposed to be flexibility, regularity, build a sum 
“I dislike when it’s my turn and people have defaulted. But, I have also defaulted so many times!”
51 
A project of FSD Kenya, 2014 
3. Informal also offer feeling that money is working, flexibility, and negotiability.
52 
A project of FSD Kenya, 2014 
5 
Going Digital
53 
A project of FSD Kenya, 2014 
M-PESA is very far reaching… 90% of Diaries households; 53% adults 62% of adults nationwide (FinAccess) 
Median personal monthly income among users is just $57/month 
(compared to $24 per month across sample, among those 18+)
54 
A project of FSD Kenya, 2014 
…and has taken bite out of distance RR flows. 
15% 
32% 
2% 
4% 
55% 
59% 
43% 
24% 
48% 
29% 
26% 
19% 
42% 
44% 
50% 
67% 
19% 
21% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
By volume 
By Value 
By volume 
By Value 
By volume 
By Value 
Overall 
Within community 
Outside community 
Resources Received Transactions, including in kind receipts (%) 
Electronic 
In kind 
Paper 
WOW!
55 
A project of FSD Kenya, 2014 
Bites in other areas of exchange are really just nibbles. 
94% 
89% 
6% 
17% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
80% 
90% 
100% 
By Volume 
By Value 
Share of INCOME Transactions that Are Electronic vs. Cash (%), Kenya 
electronic 
paper 
By Volume 
By Value 
paper 
95.9% 
94.9% 
in kind 
0.3% 
0.4% 
electronic 
0.7% 
2.2% 
credit 
3.2% 
2.5% 
3.2% 
2.5% 
2.2% 
95.9% 
94.9% 
0.0% 
10.0% 
20.0% 
30.0% 
40.0% 
50.0% 
60.0% 
70.0% 
80.0% 
90.0% 
100.0% 
EXPENDITURE transactions by mode (%), Kenya 
paper 
in kind 
electronic 
credit
56 
A project of FSD Kenya, 2014 
Those expenditures are a tough nut to crack, particularly with low transaction sizes. 
30 
20 
50 
40 
0 
10 
20 
30 
40 
50 
60 
credit 
electronic 
in kind 
paper 
Median transaction size by mode (Ksh), Kenya 
Airtime accounts for 
86% of e-purchases. E-purchases of airtime account for only 8% of airtime purchases. 
($0.35) 
($0.24) 
($0.59) 
($0.47)
57 
A project of FSD Kenya, 2014 
Agency banking is inviting smaller transactions in the formal banking system. 
0 
2000 
4000 
6000 
8000 
10000 
12000 
14000 
16000 
AVG DEBIT 
MED DEBIT 
AVG CREDIT 
MED CREDIT 
Transaction value of banking transactions by channel (Ksh) 
01=Bank, MFI, SA 
02=ATM 
03=Agent's place 
04=Mobile phone
58 
A project of FSD Kenya, 2014 
But, most transactions are still at the branch among ordinary folks. 
43% 
1% 
42% 
49% 
9% 
19% 
3% 
9% 
2% 
3% 
0% 
17% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
Percent of DEBITS 
Percent of CREDITS 
Share of banking transactions by channel in actual Diaries data (%) 
ATM 
Branch 
Agent 
Direct Deposit/Deduction 
At home/mobile 
Group Meeting
59 
A project of FSD Kenya, 2014 
Instead of widespread use, have smaller number of heavy users. Significant share of clients with access remain unconvinced of value.
60 
A project of FSD Kenya, 2014 
Digital platforms are creating space for possibilities…
61 
A project of FSD Kenya, 2014 
But, digital attributes alone are not inherently helpful. 
60% 
70% 
15% 
71% 
71% 
7% 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
80% 
% Wanted Now-- 
Beginning of Interview 
% Wanted Now--End of 
Interview 
% Changed Mind 
Share of respondents who chose not to save at the beginning, end, and those who changed their minds (%) 
M-PESA Group 
Cash Group
62 
A project of FSD Kenya, 2014 
Big Question for Financial Inclusion: What is the sun in our solar system?
63 
A project of FSD Kenya, 2014 
6 
Applying Insights
64 
A project of FSD Kenya, 2014 
PROVIDERS: Value proposition needs to be both competitive & compelling. 
Features 
•“Working” savings 
•Flexible borrowing 
•Clear & reliable services 
•Negotiability 
•Recourse 
Product Directions: 
•Reinforce & complement social network 
•Facilitate informal 
•Gap on larger sized saving & borrowing ≈KSh 10,000 ($118)+
65 
A project of FSD Kenya, 2014 
Provider engagements: 1) Topic X 2) Provider Y 
Example: Can a low income family—with appropriate financing—afford to connect to the electricity grid? 
4760 
1762 
0 
1000 
2000 
3000 
4000 
5000 
Have electricity 
Don't have electricity 
Median Total Energy Spending (project), KSh 
1.9% 
0.5% 
3.1% 
3.2% 
0.0% 
0.5% 
1.0% 
1.5% 
2.0% 
2.5% 
3.0% 
3.5% 
With Electricity 
Without 
Electricity 
Median Share on Electricity 
Median Share on Other Energy 
($20.73) 
($56.00)
66 
A project of FSD Kenya, 2014 
Upcoming publications 
–Payments 
–Savings Groups 
–Risk 
–CGAP brief on M- Shwari 
–Capacities to Aspire (Dr. Susan Johnson)
67 
A project of FSD Kenya, 2014
68 
A project of FSD Kenya, 2014 
Can you help fix Robert’s heart? Fliers available with link to new Kenyan crowdsourcing site.
69 
A project of FSD Kenya, 2014 
Payment options 
Visit Website: https://secure.changa.co.ke/myweb/share/3031

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Kenya Financial Diaries Project: Making Ends Meet in the Land of M-PESA & Branchless Banking

  • 1. 1 A project of FSD Kenya, 2014 Kenya Financial Diaries Project Making Ends Meet in the Land of M-PESA & Branchless Banking Julie Zollmann September 2014
  • 2. 2 A project of FSD Kenya, 2014
  • 3. 3 A project of FSD Kenya, 2014 Today’s Agenda 1 •Background & Methods 2 •Livelihoods 3 •Financial Tools 4 •Social Networks 5 •Going Digital 6 •Applying Insights
  • 4. 4 A project of FSD Kenya, 2014 A few opening clarifications •Chama: Savings group, generally of two forms—rotating (ROSCA) or accumulating (ASCA) •Resources Received, or “RR”: Contributions and remittances from friends and relatives •US$ 1≈ KSh 85
  • 5. 1 Background & Methods
  • 6. 6 A project of FSD Kenya, 2014 Why Diaries? New insights into money management and financial service needs Large, one- time surveys Financial Diaries Small-scale qualitative studies Complementary methodology Systematic & Deep Enables deeper triangulation Ex: FinAccess Ex: Financial Landscapes
  • 7. 7 A project of FSD Kenya, 2014 Sample selected to include diverse households in different livelihoods zones. Kenya Financial Diaries Sites Eldoret Vihiga Makueni Nairobi Mombasa Aim=300 Households (Ended with 298) Equally distributed across the five areas Urban Rural 31% 69% 32% 68% Diaries Census
  • 8. 8 A project of FSD Kenya, 2014 At the core of methodology is capturing “cash flows,” in Kenya, at transaction level. 3000 (100) (30) (20) (30) (35) (20) (20) (20) (10) (20) (100) (400) (1000) (500) 0 500 1000 1500 2000 2500 3000 3500 Transactions for One Day, Business Owner in Vihiga Income— business revenues & expenses Expenditures on household food, gas, groceries, mobile credit/airtime, "kitu kidogo" Financial Flows-- Payments to chamas 500,000 transactions in the database US$ 847,000 in financial flows
  • 9. 9 A project of FSD Kenya, 2014 2 Livelihoods: Diverse & Volatile
  • 10. A project of FSD Kenya, 2014 10 We had an explicit focus on the low-income segment. $2 per day line $5 per day line 0 10 20 30 40 Percent 0 5000 10000 15000 20000 av_adj_mo_cons_pc Per Capita Household Monthly Consumpton 72% 95% Average Per Capita Monthly Consumption Median Monthly Household Income: KSh 7,120 ($84) Median Monthly Per Capita Income: KSh 2,167 ($25.50)
  • 11. 11 A project of FSD Kenya, 2014 1% 8% 27% 2% 1% 16% 20% 18% 8% 25% 17% 30% 27% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% At Screening Actual Cash Flows Distribution of households' main income source (%) Self-employment Casual Agriculture Regular Other Resources Received (RR) Non-employment We sampled for diversity in main income source. Respondents under estimate reliance on RR and overestimate agriculture.
  • 12. A project of FSD Kenya, 2014 12 0 10 20 30 Percent 0 5 10 15 20 25 income_count_worr But, most households have MANY income sources. 0 5 10 15 0 10 20 30 40 50 income_count Median=10 Median=5 Total Income Source Count Income Source Count, Without RR South Africa Comparison Median = 4 South Africa Comparison Median = 3
  • 13. 13 A project of FSD Kenya, 2014 Example, Mary’s Household •Lives with husband and 4 children (ages 5-19) in Mombasa; •15 Income sources for household: –8 resources received, mostly in kind –3 casual jobs for Mary and husband: winnowing beans, construction labour, building contracts –One business—fried potatoes (“bhajia”) –2 charity resources: hospital, children’s fund –Campaign contributions For example, consider “Mary’s” household.
  • 14. 14 A project of FSD Kenya, 2014 That can mean, that income is a constant patchwork of sources, like it is for George’s family. 0 5000 10000 15000 20000 25000 30000 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 George's Monthly Household Income (KSh) Temporary--Veterinary officer Temporary work--Contracts for construction Self-employment--Carpentry Resources Received (6 sources) Other--campaign gifts Other--Research gifts Agriculture--Tea Agriculture--Milk Agriculture--Beans Agriculture--Maize Agriculture--Vegetables
  • 15. 15 A project of FSD Kenya, 2014 Or that livelihoods strategies are frequently shifting. 0 2000 4000 6000 8000 10000 12000 14000 16000 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 Jennifer's Monthly Household Income (KSh) Other--Research gifts Resource Received--Former Mother-in-Law Resource Received--Friend Resource Received--Boyfriend Resource Received--Friend Other/RR--Prostitution Casual-Barmaid Casual--Canteen Attendant Casual-Washing Self-employment--Chapati
  • 16. 16 A project of FSD Kenya, 2014 We quantify volatility into % monthly fluctuation. 0 2000 4000 6000 8000 10000 12000 14000 16000 Aug-12 Sep-12 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 Jennifer's Monthly Household Income (KSh) =(푆푡푎푛푑푎푟푑 퐷푒푣푖푎푡푖표푛)/푀푒푎푛
  • 17. 17 A project of FSD Kenya, 2014 Income fluctuates dramatically from month to month. 55% 54% 64% 54% 0% 10% 20% 30% 40% 50% 60% 70% Rural Urban Median Income Volatility (%) Total Income Income without Resources Received
  • 18. 18 A project of FSD Kenya, 2014 Consumption also fluctuates dramatically from month to month. 54% 42% 45% 42% 0% 10% 20% 30% 40% 50% 60% 70% Rural Urban Median Consumption Volatility (%) Consumption Expenditure Volatility Consumption Volatility-- Incorporating Home Production
  • 19. 19 A project of FSD Kenya, 2014 Food is a major piece of the expenditure budget. Food 48% Housing 8% Education 11% Energy 4% Communications 2% Water 1% Transport 5% Household items/ cleaning supplies 2% Other needs 19% Median Share of Consumption (%)
  • 20. 20 A project of FSD Kenya, 2014 3 Financial Tools for Liquidity & Investment
  • 21. 21 A project of FSD Kenya, 2014 When your budget is tight and you face volatility, lots of energy goes to creating budget elasticity. What you might be able to raise from social network ≈15% at median, but for some can reach ≈500%+ Minimum Budget Extra depending on ≈54% income fluctuation Possible credit ≈53% at median, up to 200%+ Liquid savings ≈12% at median Somewhat secure stretch stretch
  • 22. 22 A project of FSD Kenya, 2014 But, also need to generate funds for investment.
  • 23. 23 A project of FSD Kenya, 2014 Living on little money makes most more active money managers. Different devices do different financial jobs and help meet different liquidity needs. Patrick Jua kali artisan worker in Nairobi who supports three sons with him and wife and kids upcountry Median HH=14 devices
  • 24. 24 A project of FSD Kenya, 2014 -12000 -10000 -8000 -6000 -4000 -2000 0 2000 4000 6000 8000 Patrick's Daily Financial Flows (KSh) Those financial devices are used very actively. Inflows—Withdrawals, New Loans, Payouts, Payments from Clients Outflows—Deposits, Loan payments Median Total Flows Per HH (entire year): KSh 88,307 ($1039)
  • 25. 25 A project of FSD Kenya, 2014 While most value is held in physical assets, we do not observe “saving” in sellable assets. 225,750 ($2656) 2,425 ($29) 8,700 ($102) Median Physical vs. Financial Assets (KSh) Physical Assets--Illiquid Physical Assets--Liquid Financial Assets Property (land/homes) accounts for 65% physical asset value at median. The action is in financial devices.
  • 26. 26 A project of FSD Kenya, 2014 Low income Kenyans are serious savers. 8,700 3,288 - 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000 Financial Assets--Median Closing Balance Financial Liabilities--Median Closing Balance Median Closing Balances Financial Assets & Liabilities (KSh) 39 days’ income 16 days’ income
  • 27. 27 A project of FSD Kenya, 2014 Especially compared to low income people in other emerging markets. But high saving among poor can be consequence of volatility, not always indicator of wealth accumulation. Based on target markets below poverty line in each market and Diaries sample as whole. www.gafis.net 1 0 0 17 12 38 39 0 5 10 15 20 25 30 35 40 45 South Africa Mexico India, Remittance Senders India, Remittance Receivers Colombia Kenya, GAFIS Kenya, Diaries Median Days of Saving Among Poor (Source: GAFIS Surveys Collected by BFA, 2011)
  • 28. 28 A project of FSD Kenya, 2014 Most financial asset value is kept in informal devices. Formal 9% Informal 91% Share of Financial Assets that are Formal, Median
  • 29. 29 A project of FSD Kenya, 2014 But money not immediately on hand. Liquid 10% Illiquid 90% Share of Financial Assets that are Liquid, Median Strategy of channeling savings to less accessible vehicles= Intentional Enables investment via assets.
  • 30. 30 A project of FSD Kenya, 2014 Money should be WORKING! Ex. Collins, Nairobi businessman Assets Value Active? Restricted Savings Account 1,200 No Mobile Money 1,230 No Savings Account– Bank 12,670 Enables loan Savings Account—SACCO 12,000 Enables loan M-SHWARI 1,450 Enables loan ASCA #1: Firewood Group 65,600 Enables loan, provides capital to members ASCA #2: Glory Group 31,000 Enables loan, provides capital to members ASCA #3: Twendane Hai 36,000 Enables loan, provides capital to members ASCA #4: Karimu 6,750 Enables loan, provides capital to members ASCA #5: Wamama (Women’s Group) 3,000 Enables loan, provides capital to members Shares in Muramati 5,200 Enables loans Stocks in Kengen 200 Seen as investment, earning returns Stocks in Safaricom 1,700 Seen as investment, earning returns Wage & rental arrears owed to him 1,250 Owed back to him, while helping others Lending to family and friends 15,000 Owed back to him, while helping others Credit given to clients 2,870 Owed back to him, while helping others Liquid money 2,430 Illiquid, working money 194,690 Liquid, but not working (US$29) (US$2,290)
  • 31. 31 A project of FSD Kenya, 2014 The result, is that—even when people save—money is not always available when it’s really needed. 38% 57% 25% 0% 10% 20% 30% 40% 50% 60% Foregone medical care Child sent from school Hunger Share of households that experienced at least once during study
  • 32. 32 A project of FSD Kenya, 2014 And barriers to things like medical treatment can be really small! $0.82 •Christine paid for consultation, but did not have $0.82 for medication. $0.59 •Two children were sent from school lacking an exam fee of $0.59 each. $0.59 •There was no money for food. A customer came late at night to buy tomatoes for $0.59, but the shops where they could buy unga were already closed.
  • 33. 33 A project of FSD Kenya, 2014 While at the same time, investment comes slowly through chamas. Loans with appropriate sizes and terms may not be available or feel too risky for investment. Generates $2.35 per day Repair of $388 3 month delay in repairs
  • 34. 34 A project of FSD Kenya, 2014 Large sources of liquidity are not available to most from savings. 600 1,500 290 600 1,525 5,000 Mobile money Saving in a ROSCA Saving in the house Friends and family lending Saving in an ASCA Checking or current account Median Withdrawal Value (KSh) Most used FINANCIAL ASSETS ($7.06) ($3.41) ($7.06) ($58.82) ($17.65) ($17.94)
  • 35. 35 A project of FSD Kenya, 2014 And borrowing is more for smoothing than investing. 500 30 1,000 2,000 18 500 Borrowing from friends and family Credit at the shop Arrears payable (rent, school fees) Borrowing from a chama Okoa Jahazi (airtime credit) Acting as money guard Median New Borrowing Value (KSh) Most used FINANCIAL LIABILITIES ($5.88) ($0.35) ($11.76) ($23.53) ($5.88) ($0.21)
  • 36. 36 A project of FSD Kenya, 2014 Staying stable is bad. The goal is to “develop.” Fewer than half feel they are on that trajectory. 46% 41% 13% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Total How has your economic situation changed over the past 5 years (%) Better Worse No change
  • 37. 37 A project of FSD Kenya, 2014 Serious Tradeoffs Between Two Important Financial Management Jobs. Short-term Liquidity Longer-term Investment Falling Short on Both
  • 38. 38 A project of FSD Kenya, 2014 4 Social Networks: Filling a Gap
  • 39. 39 A project of FSD Kenya, 2014 The social network fills an important gap, particularly in coping with risk. 53% 60% 32% 35% 31% 31% 0% 10% 20% 30% 40% 50% 60% 70% Health Need Destruction of home/land Divorce or Separation Most Important Coping Mechanism for Top Shocks (%) Resources Received (RR) Borrowing from Friends & Family Working More
  • 40. 40 A project of FSD Kenya, 2014 Social network can provide more financing than savings/borrowing alone. -10000 0 10000 20000 30000 40000 50000 60000 70000 80000 Oct-12 Nov-12 Dec-12 Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 Breakdown of composition of George's income Business income Agriculture Income Resources Received Casual income Wife sick Wife dies Waiting for surgery
  • 41. 41 A project of FSD Kenya, 2014 But, it can fall short. Support from the social network is HUGELY important for dealing with vulnerability.
  • 42. 42 A project of FSD Kenya, 2014 •Isaac is fisherman in coast. •Wife needed $270 to remove tumor. •While resting and “looking for money”, wife saw healer, who charged $212, but accepted the $70 only from Isaac’s sold phone. •She died a few days later •Immediately after, FLOODED with contributions worth $388 & more later 1. Network doesn’t always come through on time. SOURCES OF FUNDS $59 Borrowed from brother in law In Kind ($60) Goat borrowed from neighbor $270 Contributions from family and friends $470 Another 40,000 received from friends and family for Tsunza, 40 days after death The social network worked, but imperfectly.
  • 43. 43 A project of FSD Kenya, 2014 2. Social networks are exclusive. •Though main source of income for 27%... –11% of households receive nothing –For 30% of households, RR very small (<5% of income) •Fewer than ½ of men receive RR
  • 44. 44 A project of FSD Kenya, 2014 Net Givers Net Receivers Av. HH monthly income per capita $116 $53 Share of income received from others 3% 33% Share of income given to others 11% 3% Percent <$2/day 49% 72% 3. Giving can take a toll on the upwardly mobile/slightly better off. •23% of respondent households were net givers. •RR relationships appear somewhat redistributive. •Net givers are better off than net receivers, but not rich.
  • 45. 45 A project of FSD Kenya, 2014 William’s savings wiped out by helping brother’s child. •William’s brother put him through college as electrician; •He saved Ksh 68,000 ($800) in one year attachment. •When brother’s child fell in hot mandazi oil, incurred bill of Ksh 180,000 ($2,118). –William withdrew his entire savings and handed it over to his brother. •Now, William survives on patchy contracts, lives with roommates who are not always a great influence, somewhat stagnant. –$800 might have given a cushion or helped him set up a stabilizing business.
  • 46. 46 A project of FSD Kenya, 2014 4. Some needs require even larger pool of risk sharing. •Robert, 4, has heart defect, KSh 500,000+ ($5,880) for surgery. •Entire household earns ≈KSh 5000 ($59) per month. •Already held a harambee to raise money for his treatment. Totaled KSh 15,000 ($176), which only gave diagnosis. •Medical care accounted for 25% of their total spending in the study.
  • 47. 47 A project of FSD Kenya, 2014 Formal offerings can be helpful tools. Buying Home Saving $176 slowly, privately, accessibly Borrowing for Medical Borrowing $118 privately to cover embarrassing health need
  • 48. 48 A project of FSD Kenya, 2014 But, formal devices not preferred for many needs. Why? 1. “I don’t have enough money to save.” Median Monthly Individual Income of Banked Median Monthly Individual Income of Unbanked $77 $25 63% of Unbanked in FinAccess say it’s because they don’t have enough money to bank. 400 1500 1500 5000 Median Closing Balance Median Withdrawal Value Current Account ROSCA ($59) ($18) ($18) ($5)
  • 49. 49 A project of FSD Kenya, 2014 2. Reliability in formal falls short of expectations. •7% of bank users lost money in the last 10 years –Ex: ATM does not dispense, but still deducted (lost $24) –Ex: Unexplained withdrawals of Ksh 10,000-11,000 (≈$120) –Don’t understand problem –No recourse –Advantage of bank supposed to be reliability, trust with big money “In the bank you do not have a right to explain your views or grievances. But in the chama, it is a free world.”
  • 50. 50 A project of FSD Kenya, 2014 There is a higher tolerance for losses in informal products, where the value proposition is different. •29% of ROSCA users lost money in the last 10 years –Members pay late/default –But, default works both ways –Advantage of ROSCA is supposed to be flexibility, regularity, build a sum “I dislike when it’s my turn and people have defaulted. But, I have also defaulted so many times!”
  • 51. 51 A project of FSD Kenya, 2014 3. Informal also offer feeling that money is working, flexibility, and negotiability.
  • 52. 52 A project of FSD Kenya, 2014 5 Going Digital
  • 53. 53 A project of FSD Kenya, 2014 M-PESA is very far reaching… 90% of Diaries households; 53% adults 62% of adults nationwide (FinAccess) Median personal monthly income among users is just $57/month (compared to $24 per month across sample, among those 18+)
  • 54. 54 A project of FSD Kenya, 2014 …and has taken bite out of distance RR flows. 15% 32% 2% 4% 55% 59% 43% 24% 48% 29% 26% 19% 42% 44% 50% 67% 19% 21% 0% 10% 20% 30% 40% 50% 60% 70% By volume By Value By volume By Value By volume By Value Overall Within community Outside community Resources Received Transactions, including in kind receipts (%) Electronic In kind Paper WOW!
  • 55. 55 A project of FSD Kenya, 2014 Bites in other areas of exchange are really just nibbles. 94% 89% 6% 17% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% By Volume By Value Share of INCOME Transactions that Are Electronic vs. Cash (%), Kenya electronic paper By Volume By Value paper 95.9% 94.9% in kind 0.3% 0.4% electronic 0.7% 2.2% credit 3.2% 2.5% 3.2% 2.5% 2.2% 95.9% 94.9% 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0% EXPENDITURE transactions by mode (%), Kenya paper in kind electronic credit
  • 56. 56 A project of FSD Kenya, 2014 Those expenditures are a tough nut to crack, particularly with low transaction sizes. 30 20 50 40 0 10 20 30 40 50 60 credit electronic in kind paper Median transaction size by mode (Ksh), Kenya Airtime accounts for 86% of e-purchases. E-purchases of airtime account for only 8% of airtime purchases. ($0.35) ($0.24) ($0.59) ($0.47)
  • 57. 57 A project of FSD Kenya, 2014 Agency banking is inviting smaller transactions in the formal banking system. 0 2000 4000 6000 8000 10000 12000 14000 16000 AVG DEBIT MED DEBIT AVG CREDIT MED CREDIT Transaction value of banking transactions by channel (Ksh) 01=Bank, MFI, SA 02=ATM 03=Agent's place 04=Mobile phone
  • 58. 58 A project of FSD Kenya, 2014 But, most transactions are still at the branch among ordinary folks. 43% 1% 42% 49% 9% 19% 3% 9% 2% 3% 0% 17% 0% 10% 20% 30% 40% 50% 60% Percent of DEBITS Percent of CREDITS Share of banking transactions by channel in actual Diaries data (%) ATM Branch Agent Direct Deposit/Deduction At home/mobile Group Meeting
  • 59. 59 A project of FSD Kenya, 2014 Instead of widespread use, have smaller number of heavy users. Significant share of clients with access remain unconvinced of value.
  • 60. 60 A project of FSD Kenya, 2014 Digital platforms are creating space for possibilities…
  • 61. 61 A project of FSD Kenya, 2014 But, digital attributes alone are not inherently helpful. 60% 70% 15% 71% 71% 7% 0% 10% 20% 30% 40% 50% 60% 70% 80% % Wanted Now-- Beginning of Interview % Wanted Now--End of Interview % Changed Mind Share of respondents who chose not to save at the beginning, end, and those who changed their minds (%) M-PESA Group Cash Group
  • 62. 62 A project of FSD Kenya, 2014 Big Question for Financial Inclusion: What is the sun in our solar system?
  • 63. 63 A project of FSD Kenya, 2014 6 Applying Insights
  • 64. 64 A project of FSD Kenya, 2014 PROVIDERS: Value proposition needs to be both competitive & compelling. Features •“Working” savings •Flexible borrowing •Clear & reliable services •Negotiability •Recourse Product Directions: •Reinforce & complement social network •Facilitate informal •Gap on larger sized saving & borrowing ≈KSh 10,000 ($118)+
  • 65. 65 A project of FSD Kenya, 2014 Provider engagements: 1) Topic X 2) Provider Y Example: Can a low income family—with appropriate financing—afford to connect to the electricity grid? 4760 1762 0 1000 2000 3000 4000 5000 Have electricity Don't have electricity Median Total Energy Spending (project), KSh 1.9% 0.5% 3.1% 3.2% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% With Electricity Without Electricity Median Share on Electricity Median Share on Other Energy ($20.73) ($56.00)
  • 66. 66 A project of FSD Kenya, 2014 Upcoming publications –Payments –Savings Groups –Risk –CGAP brief on M- Shwari –Capacities to Aspire (Dr. Susan Johnson)
  • 67. 67 A project of FSD Kenya, 2014
  • 68. 68 A project of FSD Kenya, 2014 Can you help fix Robert’s heart? Fliers available with link to new Kenyan crowdsourcing site.
  • 69. 69 A project of FSD Kenya, 2014 Payment options Visit Website: https://secure.changa.co.ke/myweb/share/3031