Measuring financial inclusion: explaining variation in use of financial services across and within countries.
Demirguc-Kunt, Asli ; Klapper, Leora
ABSTRACT This paper summarizes the first publicly available,
user-side data set of indicators that measure how adults in 148
countries save, borrow, make payments, and manage risk. We use the data
to benchmark financial inclusion--the share of the population that uses
formal financial services--in countries around the world, and to
investigate the significant country- and individual-level variation in
how adults use formal and informal financial systems to manage their
day-to-day finances and plan for the future. The data show that 50
percent of adults worldwide are "banked," that is, have an
account at a formal financial institution, but also that account
penetration varies across countries by level of economic development and
across income groups within countries. For the half of all adults around
the world who remain unbanked, the paper documents reported barriers to
account use, such as cost, distance, and documentation requirements,
which may shed light on potential market failures and provide guidance
to policymakers in shaping financial inclusion policies.
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Well-functioning financial systems serve a vital purpose, offering
savings, payment, credit, and risk management products to people with a
range of needs. More-inclusive financial systems--those that allow broad
access to appropriate financial services--are likely to benefit poor
people and other disadvantaged groups. For instance, access to formal
savings and credit mechanisms may facilitate investment in productive
activities such as education or entrepreneurship. Lacking such access,
individuals rely on their own limited, informal savings to invest in
their education or become entrepreneurs, and small enterprises on their
limited earnings to take advantage of promising growth opportunities.
This can contribute to persistent income inequality and slower economic
growth. (1)
This paper benchmarks financial inclusion and explores country- and
individual-level variation in how adults around the world use formal and
informal financial products to manage their finances and plan for the
future. We define financial inclusion as the use of formal financial
services, and we investigate how patterns of financial inclusion vary
across countries at different levels of income per capita, and within
countries at different levels of relative income. Next, we examine the
barriers to financial inclusion and document the relationship between
subjective and objective barriers to access. Finally, we discuss
examples of public and private sector-led initiatives in this realm and
how better data can inform policymakers in shaping financial inclusion
policies. Although the literature and the data provide suggestive
evidence of market failures and of potential welfare gains from greater
financial inclusion, we emphasize that the role of our data is to help
policymakers better understand the existence of these failures, rather
than to advocate specific policy interventions.
Our paper contributes to a growing literature examining household
finance and, especially, the borrowing and saving decisions of
households. (2) Qualitative evidence from financial diaries demonstrates
that poor people juggle complex financial transactions every day and use
sophisticated techniques to manage their finances, irrespective of
whether they use formal financial instruments (Collins and others 2009).
Evidence from field experiments highlights that people with access to
savings accounts or simple informal savings technologies are more likely
to increase consumption, productivity and income, and investment in
preventive health, and to have reduced vulnerability to illness and
other unexpected events (Dupas and Robinson 2009, 2011, Ashraf and
others 2010). Yet the evidence from field experiments that increase
access to microcredit shows more modest effects in promoting investment
and entrepreneurship, mostly for households with existing businesses
(Banerjee and others 2010, Karlan and Zinman 2010).
Until now, little was known about the global reach of the financial
sector--the extent of financial inclusion worldwide and the degree to
which groups such as the poor are excluded from formal financial
systems. Systematic indicators on the use of different financial
services were lacking for most countries. The Global Financial Inclusion
("Global Findex") database provides such indicators, measuring
how adults in 148 countries around the world manage their day-to-day
finances and plan for the future. The indicators are constructed using
survey data from interviews with more than 150,000 nationally
representative and randomly selected adults over the 2011 calendar year.
(3) The individual-level data are publicly available online and include
over 40 indicators related to account ownership, payments, saving,
borrowing, and risk management. (4)
Consistent with previous findings, the Global Findex data show that
the vast majority of adults actively use financial products, formal or
informal, to manage their finances and plan for the future. We find that
75 percent of adults worldwide use at least one of the financial
management tools included in the Global Findex survey, and half of all
adults report having an individual or a joint account at a formal
financial institution. These accounts are used for a wide range of
purposes including receipt of wage payments, government transfers, and
remittances from family members living elsewhere.
At the country level, the Global Findex data show sharp disparities
in the use of financial services between high-income and developing
countries, confirming the findings of previous studies that show lower
use of formal financial services in developing countries (see, for
example, Beck, Demirguc-Kunt, and Martinez Peria 2007 and Cull,
Demirguc-Kunt, and Morduch 2013). For instance, the share of adults in
high-income countries who are "banked" (have an account at a
formal financial institution) is more than twice that in developing
countries.
At the individual level, the data also show significant variation
in financial inclusion within countries across individual
characteristics such as income. Around the world, wealthier adults tend
to make greater use of formal financial services, even after one
controls for other individual characteristics and country fixed effects.
For instance, in developing countries as a group, adults in the highest
20 percent of income earners are more than twice as likely to have an
account as those in the lowest 20 percent.
The Global Findex data set also includes novel cross-country data
on self-reported reasons for not having a formal account, making it
possible to identify barriers to financial inclusion. Moreover, the
ability to disaggregate the data by individual characteristics allows
researchers and policymakers to identify population groups that are
excluded from the formal financial system and to better understand what
characteristics are associated with certain financial behaviors.
Worldwide, by far the most common reason for not having a formal
account, cited as the only reason by 30 percent of non-account holders,
is lack of enough money to use one. This speaks to the fact that having
a formal account is not costless in most parts of the world and that
individuals with small or irregular income streams might view an account
as an unnecessary expense, given the relatively high cost. Other reasons
commonly reported for not having an account are that banks or accounts
are too expensive (cited by 25 percent of adults without a formal
account) and that the nearest banks are too far away (cited by 20
percent).
We examine the percentage of adults who saved, in the sense of
deliberately putting aside money for future use, in the past year, and
find that most saving in developing countries is done informally, even
among adults who have a formal account. Worldwide, 36 percent of adults
report having saved in the past year. Twenty-two percent of adults who
reported saving (formally or informally) said they did so using a formal
financial institution in the past 12 months. We also discuss informal
saving and differences in the mode of saving across different income
groups. In developing countries, for instance, 12 percent of account
holders save using informal methods. The use of informal,
community-based saving methods (such as rotating savings clubs) is also
widespread, particularly in sub-Saharan African countries such as
Cameroon, Kenya, and Nigeria.
We also find that most borrowing by adults in developing countries
is from informal sources. Globally, 9 percent of adults report having
originated a new loan from a formal financial institution in the past 12
months, while 23 percent report borrowing from family and friends. But
in developing countries, adults are three times as likely to borrow from
family and friends as from formal financial institutions (25 percent and
8 percent, respectively). In high-income countries, the most commonly
cited purpose of an outstanding loan is to purchase a home; emergency
and health reasons are those most frequently cited by adults in the
developing world.
Finally, the Global Findex data set also provides new insight into
the results of recent initiatives to expand financial inclusion. For
instance, in Kenya 68 percent of adults in our sample report having used
a mobile phone in the past 12 months to pay bills or to send or receive
money; of these, almost two-thirds (41 percent of all adults) are
otherwise unbanked. The spread of mobile money products, the increasing
proliferation of bank agents, and the increasing movement toward
dispensing government payments via formal accounts all offer potential
to significantly alter the ways in which people manage their finances.
Future rounds of data will allow us to document the pace of change in
these behaviors.
The rest of the paper proceeds as follows. Section I defines and
summarizes our financial inclusion indicators. Section II documents
across-and within-country variation in the use of formal and informal
financial services. Section III discusses self-reported barriers to
financial inclusion. Section IV discusses recent initiatives to expand
financial inclusion, and section V concludes.
I. Indicators and Methodology
The Global Findex indicators measure the use of financial services,
which is distinct from access to financial services. Access most often
refers to the supply of services, whereas use is determined by demand as
well as supply factors (World Bank 2008a). The Global Findex data can
shed light on the levels and patterns of use of different financial
services both globally and among different groups, such as poor people,
youth, and women. But one cannot assume that all those who do not use
formal financial services are somehow constrained from participating in
the formal financial sector--access and use are not the same thing. The
role of policy is to broaden financial inclusion to reach those who are
excluded because of market failures.
I.A. Indicators
The first set of indicators focuses on the ownership and use of an
account at a formal financial institution. For most people a formal
account serves as an entry point into the formal financial sector.
Having a formal account facilitates the transfer of wages, remittances,
and government payments. It can also encourage formal saving and open
access to credit. Accounts are also a simple and consistent metric that
facilitates the measurement of financial inclusion across countries.
Ownership and use of accounts are relatively easy to define and observe,
and basic checking and savings accounts are fairly similar across
countries.
The Global Findex survey includes several questions about accounts
that investigate the mechanics of their use (frequency of use, mode of
access), their purpose (receipt of payments from work, government, or
family), barriers to their use, and alternatives to formal accounts
(mobile money). Importantly, the survey's account penetration
indicator measures the percentage of adults who have individual or joint
ownership of a formal account, defined as an account at a formal
financial institution such as a bank, credit union, cooperative, post
office, or microfinance institution. It includes those who report having
a debit or ATM card tied to an account.
The second set of indicators focuses on saving behavior. Savings
allow individuals to smooth consumption, make large investments in
education or to start a business, and mitigate uncertainty and risk. The
concept of saving is inherently more subjective than those of account
ownership and use. Individuals and cultures may have varying definitions
of what constitutes saving. We focus on the purposeful action of saving,
surveyed by asking individuals whether they have "saved or put
aside any money" in the past year. We collect data on general
saving behavior, as well as on the use of formal accounts and
community-based methods to save. In doing so, we highlight the
distinction between deliberate saving, whether formal or not, and the
case where individuals simply consume less than their income.
Individuals may save in the latter case as well (perhaps using informal
means such as putting money under a mattress), but we are particularly
interested in the use of formal accounts for saving.
The third set of indicators focuses on borrowing. Most people need
to borrow money from time to time. They may want to buy or renovate a
house, to invest in education, or to pay for a wedding or a funeral.
When they lack enough money to do so, they turn to someone who will lend
it to them: a bank, a cousin, or an informal lender. In some parts of
the world many people rely on credit cards to obtain short-term credit.
We gather data on the sources of borrowing (formal and informal), the
purposes of borrowing (mortgage, emergency or health purposes, and the
like), and the use of credit cards. (5)
I.B. Data Coverage
The Global Findex indicators are drawn from survey data collected
over the 2011 calendar year, covering more than 150,000 adults in 148
countries that represent approximately 97 percent of the world's
population. The survey was carried out by Gallup, Inc., in association
with its annual Gallup World Poll. The Gallup World Poll has been used
in previous academic studies, mostly to study well-being and social
capital. For example, Angus Deaton (2008) uses Gallup World Poll
questions on life and health satisfaction and looks at the relationships
with national income, age, and life expectancy. Gallup World Poll
questions are also used by Betsey Stevenson and Justin Wolfers (2008)
and by Daniel Sacks, Stevenson, and Wolfers (2010) as part of their
research to analyze relationships between subjective well-being and
income; by Bianca Clausen, Aart Kraay, and Zsolt Nyiri (2011) to analyze
the relationship between corruption and confidence in public
institutions; by Demirguc-Kunt and others (2013) to study changes in
trust in banks in the wake of the global financial crisis; and by
Stevenson and Wolfers (201 l) to examine trust in institutions over the
business cycle.
As part of the World Poll, since 2005 Gallup has surveyed about
1,000 people annually in each of up to 157 countries, (6) using randomly
selected, nationally representative samples. (7) The target population
is the entire civilian, noninstitutionalized population aged 15 and
above. Surveys are conducted in the major languages of each country. (8)
Although the results obtained using the Global Findex data are
broadly consistent with those of earlier efforts, they differ in some
nontrivial ways. Three key differences between the Global Findex and
other user-side data involve the definition of an account and its use,
the units of measurement such as age cutoffs, and when the data were
collected. Relative to other demand-side data efforts, one significant
advantage of the Global Findex data is that they are consistent and
comparable across countries. Two commonly cited cross-country user-side
data collection efforts are the FinMark Trust's FinScope
initiative, a specialized household survey in 14 African countries and
Pakistan, and the European Bank for Reconstruction and
Development's Life in Transition Survey (LITS), which covers 35
countries in Central and Eastern Europe and Central Asia and includes
several questions on financial decisions as part of a broader survey.
The Global Findex country-level estimates of account penetration are
generally insignificantly different from or higher than those of the
FinScope surveys, perhaps because of the difference in timing (most of
the FinScope surveys were carried out in the mid-2000s) and in the
definition of an account (Global Findex includes only accounts that can
be used for both deposits and withdrawals). The Global Findex estimates
of account penetration are within 7 percentage points of the LITS
estimates for the majority of countries; the discrepancies are perhaps
explained by the fact that the LITS financial access question is less
descriptive than the corresponding questions in the Global Findex
survey. (9) Compared with data collected from the providers of financial
services (financial institutions), the Global Findex data may fill a gap
by going beyond data collected only from regulated financial
institutions and allowing disaggregation of the data by demographic
characteristics. (10)
I.C. Survey Methodology
The survey methodology for the Global Findex data is that used for
the Gallup World Poll. Surveys are conducted by telephone except in
countries where telephone coverage represents less than 80 percent of
the population; in these countries the survey is conducted face to face.
(11) In most countries the fieldwork is completed in 2 to 4 weeks. In
countries where Gallup has conducted face-to-face surveys, the
identification of primary sampling units, consisting of clusters of
households, constitutes the first stage of sampling. The primary
sampling units are stratified by population size, geography, or both,
and clustering is achieved through one or more stages of sampling. Where
population information is available, sample selection is based on
probabilities proportional to population size; where otherwise, simple
random sampling is used. Random route procedures are used to select
sampled households. Unless an outright refusal occurs, interviewers make
up to three attempts to survey the sampled household. If an interview
cannot be obtained at the initial sampled household, a simple
substitution method is used. Respondents are randomly selected within
the selected households by means of the Kish grid. (12)
In countries where telephone interviewing is employed, random-digit
dialing or a nationally representative list of phone numbers is used. In
selected countries where cell phone penetration is high, a dual sampling
frame is used. Random respondent selection is achieved by using either
the latest-birthday method or the Kish grid method. (13) At least three
attempts are made to reach a person in each household, spread over
different days and times of day.
I.D. Data Weighting
Data weighting is used to ensure a nationally representative sample
for each country, First, base sampling weights are constructed to
account for oversamples and household size. If an oversample has been
conducted, the data are weighted to correct the disproportionate sample.
Weighting by household size (number of residents aged 15 and above) is
used to adjust for the probability of selection, as residents in large
households will have a disproportionately lower probability of being
selected for the sample. Second, poststratification weights are
constructed. Population statistics are used to weight the data by sex,
age, and (where reliable data are available) education or socioeconomic
status. Finally, approximate study design effects and margins of error
are calculated. The average country-level margin of error for the
account penetration indicator is [+ or -] 3.9 percent. All income group
aggregates are also weighted by country population (aged 15 and above).
II. Individual-and Country-Level Variation in Financial Inclusion
In this section we discuss the main findings from our analysis of
the Global Findex database to highlight broad patterns in financial
inclusion across the globe. We focus on several indicators that we
believe are particularly important for understanding the financial
behavior of adults, including the ownership and use of formal accounts,
the prevalence of formal and informal saving behavior, and the sources
and purposes of borrowing. We first examine country-level variation in
account penetration across countries and regions. Next, we focus on
differences in the use of financial products across individuals, and how
disparities by individual characteristics vary across countries. We also
identify trends in account ownership such as frequency and mode of use.
We then discuss saving behavior. In particular, we identify trends in
the use of formal and informal methods of saving across countries and
across income groups within countries. Finally, we highlight patterns in
access to and sources of credit worldwide.
The variation in the data--pertaining to accounts, saving, and
credit--highlights differences in countries' levels of financial
inclusion. It also emphasizes that the nature of the use of financial
services, such as frequency of account use or purpose of obtaining
credit, not only varies across countries but may be widely divergent
within any given country as well. By focusing on both within- and
cross-country inequality, we identify patterns in the data that may be
useful to governments in informing their financial inclusion strategies,
and to private sector actors in new product development.
II.A. Accounts and Payments
EXPLAINING VARIATION IN ACCOUNT PENETRATION Account penetration
differs enormously between high-income and developing countries in the
aggregate: 89 percent of adults in high-income countries, but only 24
percent in low-income countries, report that they have an account at a
formal financial institution (figure 1). Globally, 50 percent of the
world's population--more than 2.5 billion adults--do not have a
formal account (figure 2). The majority of these reside in developing
countries. (14) In several countries around the world--including
Cambodia, the Democratic Republic of Congo, Guinea, the Kyrgyz Republic,
Turkmenistan, and Yemen--more than 95 percent of adults lack a formal
account. Appendix B reports the percentage of adults with a formal
account in each country surveyed.
Why is account penetration high in, say, Denmark but almost
negligible in Niger? GDP per capita accounts for much of the variation
across countries (top panel of figure 3): Denmark is among the
world's richest countries whereas Niger is among the poorest. In
most countries with a GDP per capita of $15,000 or higher, account
penetration is 90 percent or higher. (15) Indeed, regression analysis
shows that national income per capita is significantly associated with
account penetration and accounts for about 70 percent of the variation
among the world's countries in the share of adults with a formal
account (column 1-1 in table 1). Country-level regressions also show
that whereas adults in low-income countries are 72 percent less likely
to have an account than adults in high-income countries, adults in
upper-middle-income countries are only 43 percent less likely (column
1-2). We find significant difference in account penetration between
adults in low-income countries and in lower-middle-income countries and
a significant gap between adults in lower-middle-income and in
upper-middle-income countries (column 1-2, bottom rows).
[FIGURE 2 OMITTED]
National-level financial development, as measured by domestic
credit to the private sector as a percentage of GDP, is also
significantly associated with account penetration (bottom panel of
figure 3), even when one controls for GDP per capita (column 1-3 in
table 1). However, large amounts of credit--whether commercial or
consumer credit--in a financial system do not always correspond to broad
use of financial services, because credit can be concentrated among the
largest firms and the wealthiest individuals. For instance, domestic
credit to the private sector amounts to 112 percent of GDP in Vietnam,
but only 21 percent of adults in that country report having a formal
account. Conversely, in the Czech Republic, a country with relatively
modest financial depth (domestic credit to the private sector is 55
percent of GDP), account penetration is relatively high (81 percent).
[FIGURE 3 OMITTED]
[FIGURE 4 OMITTED]
These findings suggest that financial depth and financial inclusion
are related but ultimately distinct dimensions of financial development,
and that financial systems can become deep without delivering access for
all. A more formal investigation of the country-level determinants of
financial inclusion is beyond the scope of this paper, but the theme is
explored further using Global Findex data by Franklin Allen and others
(2012).
ACCOUNT PENETRATION ACROSS INDIVIDUAL CHARACTERISTICS Beyond
cross-country variation, there is also significant variation in account
penetration across individuals within a given country. Examining account
penetration by within-country income quintile highlights differences
between the poor and the better off. The differences in slope from one
segment to the next in each of the lines in figure 4 indicate the
differences in account penetration between income quintiles for the
country income group represented by that line--a rough measure of the
gap in financial inclusion between richer and poorer individuals at a
given level of country income per capita. Because the upper limit is 100
percent, there is little absolute difference in the slopes between the
dots for the high-income countries as a group. In these countries, on
average, poorer adults are not significantly less likely than richer
adults to have a formal account. But stark differences exist in account
penetration within most developing countries. In the upper-middle-income
countries the slope of the line is very steep, but relatively constant
across segments. The richest adults in these countries are more than
twice as likely as the poorest to have a formal account, with a gap of
approximately 10 percentage points separating each pair of quintiles.
The lower-middle-income countries exhibit sharp differences between the
poorest and the middle class, as well as between the middle class and
the rich, highlighted by the kinks in the curve. In the low-income
countries, account ownership does not vary significantly across the
bottom two income quintiles, but it increases steadily as income
increases further.
Two other results in figure 4 are striking. First, account
penetration in the poorest quintile in the high-income countries is 9
percentage points higher on average than in the richest quintile in the
upper-middle-income countries. Second, account penetration in the
richest quintile in the low-income countries is only 4 percentage points
higher than in the poorest quintile in the upper-middle-income
countries.
We also estimate multivariate probit models using individual-level
data to test the relationship between account ownership and income
quintile, controlling for other individual characteristics such as sex,
age, education, marital status, household size, employment, and rural
versus urban residence. The leftmost panel of table 2 reports marginal
effects for the bottom four income quintiles (the richest income
quintile is the excluded category), which show significant differences
in within-country "financial inequality" across country income
groups. Although in all country income groups, adults in the highest
income quintile are significantly more likely to be banked, in the
high-income countries that difference is small: the poorest 20 percent
are only 5 percent less likely to have an account than the richest 20
percent, whereas in the upper-middle-income countries the poorest 20
percent of earners are 24 percent less likely, and in low-income
countries the poorest earners are 13 percent less likely.
These findings may be explained in part by differences in economic
inequality across country income groups. Indeed, we find a strong
correlation across countries (a correlation coefficient of 0.42) between
inequality in the use of formal accounts and income inequality as
measured by the Gini coefficient (with higher values indicating a more
unequal income distribution). The correlation between these two measures
of financial and economic inequality continues to hold even when we
control for national income per capita (column 1-4 of table 1).
Consider the example of the United Kingdom and the United States.
These two countries have relatively similar GDP per capita and
relatively similar account penetration among adults in the top four
income quintiles (98 percent and 92 percent, respectively). But the Gini
coefficient in the United Kingdom is smaller than that in the United
States, which may help explain the sharp difference between the two
countries in account penetration in the poorest income quintile (figure
5). In the United States 26 percent of adults in this group report
having no formal account; the corresponding number for the United
Kingdom is 3 percent. Such differences serve to reinforce the hypothesis
that although the correlation between income per capita or income
inequality and account penetration explains some variation in the use of
financial services, it by no means explains all of it. Alternative
explanations included differences in trust in banks and the availability
of alternatives to formal financial institutions. (A 2011 survey by the
Federal Deposit Insurance Corporation also found a large gap in account
penetration between rich and poor households within the United States.)
Bottom-quintile adults in the United States are also much less likely to
have an account than their counterparts in Australia or Canada--two
other countries with broadly similar economic development and legal
traditions to those of the United States, but with smaller Gini
coefficients.
CROSS-COUNTRY DIFFERENCES IN THE USE OF ACCOUNTS Beyond the simple
ownership of formal accounts, data on the frequency and methods of use
of those accounts shed light on some stark differences between
high-income and developing countries. In developing countries, 10
percent of account holders--more than 150 million people
worldwide--maintain what can be considered an inactive account: they
make neither withdrawals from nor deposits into their account in a
typical month (although they may maintain a positive balance). In
contrast, only 2 percent of account holders in high-income countries
have an inactive account.
The majority of adults with a formal account in developing
countries make deposits or withdrawals only once or twice in a typical
month. In high-income countries, by contrast, more than half of account
holders withdraw money from their accounts six or more times in a
typical month. ATMs and electronic payment systems (debit cards,
electronic bill payments, and the like) facilitate access to accounts.
Indeed, adults with a formal account in high-income countries report
most commonly using ATMs for withdrawals. Those in developing countries
report most commonly making withdrawals over the counter, in a branch of
their bank or at another financial institution.
People also have myriad reasons for maintaining an account at a
formal financial institution. Using a formal account to receive wages is
most common in high-income countries, where 50 percent of adults report
using an account for this purpose, compared with 14 percent of adults in
developing countries. Relying on an account to receive payments from the
government is also most common in high-income countries, where 42
percent of all adults (and 47 percent of account holders) report having
used their account for this type of transaction in the past year,
compared with 6 percent of adults in developing countries. Accounts are
also used to send money to or receive money from relatives by 8 percent
of all adults (and 21 percent of account holders) in developing
countries.
II.B. Saving
Saving to cover future expenses--education, a wedding, a big
purchase--or to provide against possible emergencies is a universal
practice. However, not only does the propensity to save differ across
and within countries; the mode and the purpose of saving also vary.
Globally, 36 percent of adults report having saved (in the sense of
deliberately setting aside money) in the past year, although this ranges
from 30 percent in low-income countries to 58 percent in high-income
countries.
More interesting are the marked differences in how people save. A
proportion of adults who save do so using a formal account. But many
others, including some who own a formal account, turn to alternative
methods of saving. Worldwide, about one-fourth of adults report having
saved at a bank, credit union, or microfinance institution in the past
year. This figure ranges from 45 percent in high-income countries, to 24
percent in upper-middle-income countries, to 11 percent in
lower-middle-income and low-income countries. The difference between
high- and upper-middle-income countries in the percentages of adults who
saved formally is statistically significant, but there is no
statistically significant difference among developing-country income
groups (column 1-5 in table 1).
[FIGURE 6 OMITTED]
Like account penetration, formal saving behavior also varies with
individual characteristics within countries. As figure 6 shows, in
high-income countries as a group, the share of adults who engage in
formal saving rises sharply with income in the bottom half of the income
distribution, from 32 percent in the bottom quintile to 50 percent in
the middle quintile, but becomes much flatter in the top half, rising
only from 50 percent to 56 percent. This suggests that in high-income
countries, individuals in the middle class are significantly more likely
to save formally than the poor, and only marginally less likely to save
formally than the rich.
The share of adults who save increases more linearly in
upper-middle-income countries: a gap of about 6 percentage points is
seen between each income quintile. Finally, in lower-middle- and
low-income countries there is almost no difference between the middle
class and the poor in the proportion of adults saving formally: for the
lower-middle-income countries the numbers are roughly 9 percent and 6
percent, respectively. However, in both these groups of countries the
rich are more than twice as likely to save formally as the middle class:
about 21 percent compared with about 9 percent in the case of the
lower-middle-income countries. Probit estimations using individual-level
data confirm these results. For instance, in high-income countries
adults in the poorest income quintile are 21 percent less likely to save
formally than adults in the richest quintile, whereas in low-income
countries the difference is only 8 percent (compare the first and the
last columns of the middle panel of table 2).
Saving behavior varies among account holders as well: even
individuals who have a formal account may not necessarily use it to
save. Worldwide, about 43 percent of account holders report having set
aside money at a formal financial institution in the past year; the
figure varies relatively little across country income groups. However,
in many sub-Saharan African countries, such as Liberia and Uganda, more
than 65 percent of account holders report saving formally. This suggests
that in these countries the ability to save in a secure location may
motivate individuals to open and maintain a formal account. In contrast,
in many countries in Central and Eastern Europe and Central Asia, adults
do not primarily use their accounts to save: in this region fewer than
one in six adults with a formal account report having saved or set aside
money using a formal account in the past year. In Georgia just 3 percent
of account holders (and 1 percent of all adults) report having saved
using a formal account in the past year. However, adults in this region
are especially likely to use their accounts to receive wages and
government payments. This ability, rather than the opportunity for
saving, may thus be a key reason why these adults own formal accounts.
Many adults, despite having a formal account, save solely using
other methods. These people, who might be classified as the
"underbanked," constitute 12 percent of account holders
worldwide. Individuals may choose an informal saving method rather than
use their formal account because the costs of using their account are
prohibitively high. Barriers such as minimum balance and withdrawal fees
and physical distance often raise the cost of opening and maintaining a
formal account. It is also possible that accounts set up by an employer
or the government are not conducive to saving. If that is the case,
policymakers or commercial banks in countries where greater financial
inclusion is a priority could introduce new products to encourage
existing account holders to save in formal institutions. Such products
could be especially important in countries with aging populations. (16)
In developing countries, savings clubs often serve as an
alternative (or complement) to saving at a formal financial institution.
One common form of such clubs is the rotating savings and credit
association (ROSCA), known locally as a susu in West Africa, an arisan
in Indonesia, and a pandero in Peru. These clubs generally operate by
pooling the weekly deposits of their members and disbursing the entire
amount to a different member each week. Although members generally do
not earn interest on their deposits as in a formal account, these clubs
can provide members an opportunity to save.
Savings clubs and other community-based saving methods are widely
used in some parts of the world, particularly in low-income countries.
In sub-Saharan Africa 19 percent of adults report having saved in the
past year using a savings club or a person outside the family. Among
just those who report any saving activity in the past 12 months, 48
percent used community-based methods. The practice is particularly
common in Nigeria, where ROSCAs are called esusu, ajo, cha, or adashi.
In Nigeria 44 percent of adults (and 69 percent of those who save)
report using a savings club or a person outside the family. Perhaps
because of the widespread use of this saving method, the share of
Nigerians who report any type of saving in the past year is equal to
that in Canada and South Korea and far higher than that in most other
developing countries.
The popularity of savings clubs speaks to their advantages, but
these arrangements also have their downside. Their defining
characteristic, informality, is accompanied by risks of fraud and
collapse. Of course, formal accounts are not immune to these risks,
especially in many developing countries where explicit government-run
deposit insurance is absent or inadequate. In addition, the cyclical
nature of contributions and disbursements in a ROSCA may be too rigid
for some people. A fixed schedule may not serve their need to deposit
surplus income when available or to quickly withdraw funds in an
emergency.
Community-based saving methods and formal financial institutions
are not the only options for saving. A large share of adults around the
world who report having set aside money in the past year used neither a
formal financial institution, nor an informal savings club, nor a person
outside the family. Although the Global Findex survey did not gather
data on other alternative methods, they might include saving through
asset accumulation (such as gold or livestock) and saving "under
the mattress." (17) These adults account for 29 percent of savers
worldwide and more than half of savers in 55 countries.
II.C Borrowing
In the Global Findex data, the overall rate of origination of new
loans, formal and informal, is fairly steady across country income
groups and individual characteristics. On average, almost one-third of
adults in both high-income and developing countries report having
borrowed money in the past year. However, measures of new (or
rolled-over) household debt are sensitive to the business cycle and
other current economic factors, and future rounds of data collection may
yield significantly different estimates. Moreover, the use of credit is
sensitive to the tax, legal, and regulatory environment of the country
in question. For example, the provision of private credit is higher in
countries with better creditor protection and broader credit information
coverage (Djankov, McLiesh, and Shleifer 2007).
Beyond the overall rate of new borrowing, however, high-income and
developing countries exhibit little commonality in the sources and
purpose of credit. Individuals in higher-income countries are
significantly more likely to borrow from formal sources, such as banks
or retail stores (column 1-6 of table 1 ; see also figure 7). Those in
lower-income countries are more likely to use informal sources of credit
such as family and friends. To illustrate, in Finland 24 percent of
adults report having borrowed from a formal financial institution in the
past year; in Ukraine only 8 percent report having done so, and in
Burundi only 2 percent. The pattern is reversed with respect to the
proportion of adults with informal credit: 37 percent of adults in
Ukraine and 44 percent in Burundi, but only 15 percent in Finland,
report having borrowed from family or friends in the past 12 months.
This propensity toward informal rather than formal lending is
observed in both low- and middle-income countries. Friends and family
are the most commonly reported source of new loans in upper-middle-,
lower-middle-, and low-income countries, but not in high-income
countries (figure 8). In low-income countries 20 percent of adults
report friends or family as their only source of new loans in the past
year; only 6 percent report a formal financial institution as their only
source. Adults in poorer countries are also more likely to report having
borrowed from an informal lender other than a family member or friend in
the past year. An important caveat to this finding, however, is that
social norms may have a significant effect on the reporting of this type
of borrowing.
[FIGURE 7 OMITTED]
[FIGURE 8 OMITTED]
The introduction of credit cards may affect the demand for and the
use of short-term formal credit. In high-income countries half of the
adult population report having a credit card. Despite a surge in recent
years, credit card ownership in developing countries still lags far
behind. Only 7 percent of adults in low- and middle-income countries
report having a credit card, but there are some notable exceptions: in
Brazil, Turkey, and Uruguay, for example, the proportion of adults with
a credit card exceeds 35 percent.
Given the widespread ownership of credit cards in high-income
countries, adults in these countries may have less need for short-term
loans from financial institutions. This may help explain why the share
of adults in these countries who report having received a loan in the
past year from a formal financial institution is not particularly high.
Indeed, if the adults in high-income countries who report owning a
credit card are included in the share of those who report borrowing from
a formal financial institution in the past year (a measure that may not
include credit card balances), that share increases by 40 percentage
points, from 14 percent to 54 percent. (18) Here we focus on measures of
borrowing activity that do not include credit card ownership.
Within-country relative income is also associated with formal
borrowing only among developing countries (rightmost panel of table 2).
On average, the difference in the origination of new formal loans over
the past year between the poorest and the richest income quintile in
developing countries is about 4 percent and statistically significant.
Within high-income countries, in contrast, there is no significant
difference across income groups on this measure.
Just as the sources of credit differ across countries and
individuals, so do the purposes for which such borrowing is used. Data
gathered in developing countries highlight that emergency and health
needs are the most common reason for having an outstanding loan (figure
9). (19) Adults in the poorest income quintiles also commonly report
emergency and health-related loans. On average, in developing countries
14 percent of adults in the poorest quintile had a loan for emergency or
health purposes, compared with 8 percent of those in the richest fifth
of the population.
[FIGURE 9 OMITTED]
The data also highlight variation in the reasons for borrowing
across regions. In sub-Saharan Africa 8 percent of adults report
borrowing to pay school fees. In the developing world as a whole,
outstanding loans for funerals or weddings are reported by 3 percent of
adults (figure 9), but such loans are significantly more common in
fragile and conflict-affected states such as Afghanistan (where the
figure is 29 percent), Iraq (13 percent), Somalia (11 percent), and the
West Bank and Gaza (11 percent).
Data on the use of mortgages show large differences between
countries at different income levels. In high-income countries 24
percent of adults report having an outstanding loan to purchase a home;
the corresponding number in developing countries is only 3 percent. Even
within the European Union the use of mortgages varies widely, with very
low rates of use in some of the new member states. For example, whereas
21 percent of adults in Germany have an outstanding mortgage, only 3
percent in Poland do (figure 10). Such differences may in part reflect
cross-country differences in housing finance systems, such as in product
diversity, types of lenders, secondary mortgage markets, and degree of
government participation. Studies have found that these factors may
affect the availability of loans to individuals (International Monetary
Fund 2011). Collateral and bankruptcy laws that define the legal rights
of borrowers and lenders have also been shown to affect housing finance
(Warnock and Warnock 2008). And to develop fully in the first place, a
mortgage market requires the existence of formal property rights and an
efficient framework to record ownership of property (de Soto 2000).
[FIGURE 10 OMITTED]
III. Barriers to Financial Inclusion
Country income and individual characteristics clearly help explain
some of the differences in the use of financial accounts around the
world. But what do people themselves say when asked why they do not have
an account? The Global Findex survey, by asking more than 70,000 adults
without a formal account their reasons for not having one, provides
novel data on the barriers to financial inclusion. In this section we
discuss each self-reported barrier individually. Each represents a
distinct dimension that policymakers who are aiming to expand financial
inclusion can address. We also examine these self-reported barriers by
country income group and individual characteristics. This allows us to
document robust relationships between subjective and objective
assessments of barriers to financial access, even when accounting for
GDP per capita.
[FIGURE 11 OMITTED]
Globally, the most frequently cited reason for not having a formal
account is lack of enough money to use one (figure 11). This is the
response given by 65 percent of adults without a formal account, and 29
percent cited this as the only reason (multiple responses were
permitted). (20) The next most commonly cited reasons are that banks or
accounts are too expensive, and that another family member already has
an account. Each of these was cited by about a quarter of adults without
an account. The other reasons reported (in order of importance) are
banks being too far away, lack of the necessary documentation, lack of
trust in banks, and religious reasons. On average, each respondent chose
1.7 responses; the most commonly offered response combined lack of
enough money to use an account with a second barrier. In low-income
countries adults gave 1.91 responses, on average. Adults in these
countries were significantly more likely to cite distance, cost,
documentation, and lack of money than were adults in other country
income groups. Lack of trust and someone else in the family already
having an account were more commonly cited in middle- and high-income
countries.
[FIGURE 12 OMITTED]
At first glance it may appear that the segment of the population
for whom lack of enough money is a concern is less likely to be
bankable. However, those who reported this reason are likely suggesting
that, under current circumstances, the costs of having an account
outweigh its benefits. It seems reasonable to assume that if individuals
found it easier or cheaper to use accounts, or if those accounts
provided benefits such as the ability to receive remittances or
government transfers, then for some of these respondents the costs
associated with having an account would be outweighed by the benefits.
Affordability is also an important barrier to account ownership.
High costs were cited by a quarter of unbanked respondents on average,
and by 32 percent in low-income countries, where fixed transaction costs
and annual fees tend to make small transactions unaffordable for large
parts of the population. (Fixed fees and other high costs of opening and
maintaining accounts often reflect lack of competition and
underdeveloped physical or institutional infrastructure.) Maintaining a
checking account in Sierra Leone, for example, costs the equivalent of
27 percent of GDP per capita in annual fees alone. So it is no surprise
that 44 percent of non-account holders in that country cited high cost
as a reason for not having a formal account. Figure 12 shows that the
proportion of adults citing cost as a barrier to account ownership rises
monotonically with actual costs as measured by the Annual Fees Account
Index from the World Bank's Bank Regulation and Supervision
Database (Beck, Demirguc-Kunt, and Martinez Peria 2008).
The next most commonly cited reason for not having an account
(offered by 23 percent of respondents) was that another member of the
family already has one. Women were significantly more likely than men to
give this response, and adults in high-income and upper-middle-income
countries (where relatives are most likely to have an account) were
significantly more likely than those in poorer countries to choose this
reason. A recent study (Hallward-Driemeier and Hasan 2013) shows that
lack of account ownership (and lack of personal asset accumulation)
limits women's ability to pursue self-employment opportunities.
Hence, although such voluntary exclusion may be linked to individual
preferences or cultural norms, it may in some cases indicate a lack of
awareness of financial products or lack of financial literacy more
generally. (21)
Twenty percent of unbanked respondents cited distance as a reason
for not having a formal account. The frequency with which this barrier
was cited increases sharply as one moves down the country income scale,
from 10 percent in high-income countries to 28 percent in low-income
countries. Among developing countries there is a significant
relationship between distance as a reported barrier and objective
measures of providers such as bank branch penetration. Tanzania, for
example, has a large share (47 percent) of non-account holders who cited
distance as a reason for not having an account, and the country ranks
near the bottom in bank branch penetration, averaging less than 0.5 bank
branch per 1,000 square kilometers (according to the 2010 World Bank
Global Payment Systems Survey).
Documentation requirements for opening an account may also exclude
workers in the rural or the informal sector, who are less likely to have
wage slips or formal proof of residence. A significant relationship is
seen across developing countries between subjective and objective
measures of documentation requirements as a barrier to account use
(figure 13); the relationship holds even after we account for GDP per
capita. Indeed, the Financial Action Task Force has recognized that
overly cautious safeguards against money laundering and terrorist
financing can have the unintended consequence of excluding legitimate
businesses and consumers from the financial system. Accordingly, the
task force has emphasized the need to ensure that such safeguards also
support financial inclusion, where greater inclusion is a national goal.
(22)
[FIGURE 13 OMITTED]
Distrust in formal financial institutions is also a nontrivial
barrier to wider financial inclusion, and one that is difficult to
address in the short term. Thirteen percent of adults without a formal
account cited lack of trust in banks as a reason why they do not own an
account (figure 11). This distrust can stem from cultural norms,
discrimination against certain population groups, past episodes of bank
failure or government expropriation of banks, or economic crises and
uncertainty. In Russia 38 percent of non-account holders cited lack of
trust in banks as a reason for not having an account--approximately
three times the share in developing countries on average.
Finally, only 5 percent of unbanked respondents cited religious
reasons for not having a formal account, although the proportion is
higher in some Middle Eastern countries such as the West Bank and Gaza
and in some South Asian countries such as Pakistan. In these regions
developing financial products compatible with religious beliefs
(so-called Islamic finance) could potentially increase account
penetration.
These systematic data on self-reported barriers to the use of
financial services allow researchers and policymakers to understand the
reasons for nonuse and provide clues for the design of policy
interventions. However, such cross-sectional data cannot be used to
determine the causal impact of removing these barriers. Furthermore,
since people often face (and report) multiple barriers, addressing
individual constraints may not necessarily expand the use of accounts if
other barriers continue to bind.