Borrowed Any Money (% age 15+) in Equatorial Guinea
Published 2026-10-03 ยท 24Peaks Research
Borrowed Any Money (% age 15+) in Equatorial Guinea
Borrowed Any Money (% age 15+) in Equatorial Guinea measures the share of the population aged 15 and older who reported borrowing money from a financial institution or used a credit card in the past 12 months. As of the latest available year, the rate in Equatorial Guinea remains very low relative to global averages, reflecting limited retail banking penetration and heavy reliance on informal credit. The latest series is hosted on 24Peaks.
What the Indicator Measures
Borrowed Any Money (% age 15+) is a demand-side indicator collected through household surveys, most prominently the World Bank's Global Findex Database, which has been fielded roughly every three years since 2011. The question asks respondents whether, in the past 12 months, they borrowed money from a bank, credit union, microfinance institution, or other formal financial institution, or used a credit card. It does not capture borrowing from family, friends, informal moneylenders, or rotating savings groups, which are significant in many low-income economies.
Two methodological points matter for interpretation. First, the indicator is a binary yes/no measure, so it does not record the amount borrowed, the cost of credit, or whether the loan was repaid. Second, it measures formal credit use only, meaning it understates total borrowing activity in economies where informal finance dominates. This makes the indicator a useful but partial gauge of financial inclusion, best read alongside account ownership and savings data.
Because the underlying survey is not run annually, the reference year varies. Analysts should always check which survey wave a figure belongs to before drawing conclusions, and 24Peaks keeps the most recent available observation clearly dated.
Why It Matters for Investors and Policymakers
Formal borrowing is a proxy for how deeply a financial system reaches households. Low usage signals constraints on the supply side, such as limited branch networks, weak credit registries, and high collateral requirements, as well as demand-side barriers including low income, irregular earnings, and distrust of institutions.
For investors, the indicator matters on several levels:
- Credit depth potential: A very low borrowing rate implies a largely untapped consumer and microenterprise lending market, though realizing that potential depends on regulation and institutional capacity.
- Banking sector economics: Where few adults borrow, banks typically rely on deposits and corporate lending, which shapes net interest margins and risk profiles.
- Macro-financial resilience: Households with formal credit access can smooth consumption during shocks; very low access often means adjustment happens through spending cuts instead.
- Policy tracking: Development institutions use this metric to assess financial inclusion strategies, so movement in the series can signal shifting regulatory priorities.
Equatorial Guinea's case is distinctive because it is an upper-middle-income, oil-dependent economy with a small population and a banking sector concentrated in the capital. Income levels do not map neatly onto financial inclusion here, a pattern common in commodity-driven economies.
Recent Trends and Regional Context
Across Sub-Saharan Africa, formal borrowing rates are among the lowest in the world, typically in the single digits to low double digits as of the latest available survey waves. This contrasts sharply with high-income economies, where roughly half or more of adults report borrowing from a formal institution or using a credit card, and with parts of East Asia where consumer credit has expanded rapidly.
Within Central Africa, the picture is shaped by thin banking infrastructure, low population density outside urban centers, and a large informal sector. Mobile money has expanded account ownership in many African markets, but account ownership and borrowing are different things: holding a mobile wallet does not mean using formal credit. Several markets have seen account ownership rise faster than borrowing, producing a gap that lenders and fintechs are only beginning to address.
Equatorial Guinea follows this regional pattern. Oil revenue has supported relatively high GDP per capita, yet the formal financial system remains small, and survey evidence on borrowing has been limited and infrequent. Where data exist, the share of adults borrowing from formal sources is low, consistent with a system oriented toward serving government, oil-related corporates, and a narrow urban clientele rather than mass retail.
Data gaps are themselves a signal. Countries with limited survey coverage often have weaker statistical systems, which raises the information costs for lenders and investors alike. That is one reason this indicator is worth monitoring as much for what it reveals about data infrastructure as for the credit number itself.
Comparison With Other Countries
The table below places Equatorial Guinea in context. Values are drawn from publicly available financial inclusion surveys; exact figures vary by survey wave, and users should confirm the reference year on 24Peaks before citing.
| Country | Recent value | Year | Note |
|---|---|---|---|
| Equatorial Guinea | Low single-digit share of adults | Latest available data | Limited survey coverage; oil-dependent economy with a small formal banking sector |
| Nigeria | Low double-digit share of adults | Latest available data | Large population and active fintech sector, but formal credit penetration remains modest |
| Kenya | Low double-digit share of adults | Latest available data | Mobile money is widespread, yet formal borrowing is concentrated among a subset of adults |
| Germany | Roughly half of adults or more | Latest available data | Deep consumer credit and card markets in a high-income economy |
The comparison illustrates a core point: national income alone does not determine formal borrowing. Kenya and Nigeria have lower income per capita than Equatorial Guinea but similar or higher borrowing rates, driven by mobile financial services and larger retail banking markets. Germany's high rate reflects decades of consumer credit infrastructure, credit bureaus, and card adoption.
For analysts, the practical takeaway is to compare like with like. Grouping Equatorial Guinea with other small, commodity-exporting states yields more useful benchmarks than comparing it directly with large emerging markets.
Limitations to Keep in Mind
Several caveats apply when using this indicator:
- Coverage gaps: Survey waves are irregular, and some countries, including Equatorial Guinea, have thin historical series, so year-over-year comparisons are often not possible.
- Definitional narrowness: Informal borrowing, which is widespread in the region, is excluded, so the indicator captures only part of household credit activity.
- Self-reporting bias: Respondents may misremember or misclassify loans, and terminology around credit cards and institutional lending varies culturally.
- No depth or cost data: The indicator says nothing about loan size, interest rates, or default rates, all of which matter for assessing credit market health.
- Population weighting: National aggregates can mask large urban-rural gaps, which are typically pronounced in Central Africa.
Because of these limits, the best practice is to read the borrowing rate alongside account ownership, savings, and firm-level credit data. Together they give a fuller picture of financial depth than any single metric.
FAQ
What does Borrowed Any Money (% age 15+) actually measure in Equatorial Guinea?
It measures the percentage of adults aged 15 and older who reported borrowing from a formal financial institution or using a credit card in the past year. It excludes borrowing from family, friends, and informal lenders. The latest available figure is dated by survey wave on 24Peaks.
How current is the data for Equatorial Guinea?
The underlying surveys are not conducted annually, so the most recent observation may refer to a survey wave several years old. Users should always check the reference year rather than assume the figure is from the current calendar year. 24Peaks labels the latest available year for each series.
Why is the borrowing rate so low in Equatorial Guinea?
The formal banking sector is small and concentrated, credit registries are limited, and much of the economy operates informally. As a result, most household financing occurs outside the banking system. Oil wealth has not translated into broad retail credit access.
How does Equatorial Guinea compare with its neighbors?
It sits in the low range typical of Central and Sub-Saharan Africa, alongside countries with limited retail banking. Some East African markets show higher formal borrowing because of mobile financial services. Comparisons are most meaningful within the same region and income group.
Can a low borrowing rate be good news?
Not necessarily. Very low formal borrowing usually reflects supply and demand barriers rather than healthy restraint, though rapid credit growth can also create risks if underwriting is weak. The indicator is best interpreted as a measure of financial access, not of household financial health. Pair it with savings and account ownership data for context.
Compare This Indicator on 24Peaks
Use the 24Peaks workbench to compare Borrowed Any Money (% age 15+) in Equatorial Guinea with other countries and track the latest available series.