Comoros: Bank nonperforming loans to total gross loans (%)

Key figures

What the numbers say

In 2022, Comoros' bank nonperforming loans to total gross loans (%) fell 2.01 percentage points on 2021 (from 16.11% to 14.1%).

Across the 11 yearly changes before that (2011 to 2021), the average change was +0.17 percentage points and a typical year strayed about 2.19 percentage points from that (the standard deviation). This year's change was 1.0 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

On record, the biggest yearly rise was 3.05 percentage points in 2017 and the biggest yearly fall was 5.25 percentage points in 2021. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.

From 2013 to 2022 there is no clear straight-line trend: a straight line explains 4% of the movement over 10 observed years, so the value is moving around more than it is heading anywhere.

Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.

Closest to Comoros in the 2022 ranking

• Gambia, The — 2nd of 4: 4.56%
• Brunei Darussalam — 3rd of 4: 2.82%
• Japan — 4th of 4: 1.23%

What this measures

The indicator measures the proportion of a deposit taker’s loan portfolio that is impaired or at risk of default. It is calculated as the ratio of non-performing loans (NPLs) to total gross loans, where NPLs are defined as loans that are past due by 90 days or more or are otherwise considered unlikely to be repaid in full without the realization of collateral. Both non-performing loans and total gross loans should be reported at their gross book value, without deducting for loan-loss provisions or collateral. This indicator provides a key measure of asset quality and potential credit risk in the banking system.

Limitations: Reporting countries compile the data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata on the IMF FSI website (data.imf.org) to conduct more meaningful cross-country comparisons or to assess the evolution of the indicator for any of the countries.

Regional and income-group figures are computed by the World Bank as a ratio of non-performing/total loan portfolio.

All 13 values

Bank nonperforming loans to total gross loans (%) in nearby economies

• Angola — 14.13% (2024)
• Botswana — 3.32% (2025)
• Cameroon — 12.89% (2023)
• Central African Republic — 16.22% (2023)
• Chad — 31.51% (2023)
• Congo, Rep. — 15.22% (2023)
• Equatorial Guinea — 31.15% (2023)
• Eswatini — 6.74% (2025)
• Gabon — 7.58% (2023)
• Gambia, The

More financial sector data for Comoros

• DEC alternative conversion factor (LCU per US$) — US$436.37 (2025)
• Official exchange rate (LCU per US$, period average) — US$435.38 (2025)
• GDP deflator (base year varies by country) — 164.5 (2025)
• Inflation, GDP deflator (annual % growth) — 4.3% (2025)
• Broad money (current LCU) — 285.91 billion (2025)
• Broad money (% of GDP) — 36.1% (2025)
• Broad money to total reserves ratio — 1.6 (2025)
• Domestic credit to private sector by banks (% of GDP) — 14.97% (2024)
• Net domestic credit (current LCU) — 157.23 billion (2024)
• Net foreign assets (current LCU)

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Questions people ask

What is Comoros's bank nonperforming loans to total gross loans (%)?

14.1% in 2022, according to the World Bank (World Development Indicators).

How has it changed since 2010?

It is down 0.15 percentage points from 14.25% in 2010. The highest value was 22.89% in 2017 and the lowest 14.1% in 2022.

Is the latest change in bank nonperforming loans to total gross loans (%) unusual for Comoros?

In 2022, Comoros' bank nonperforming loans to total gross loans (%) fell 2.01 percentage points on 2021 (from 16.11% to 14.1%). Across the 11 yearly changes before that (2011 to 2021), the average change was +0.17 percentage points and a typical year strayed about 2.19 percentage points from that (the standard deviation). This year's change was 1.0 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.

Where does this data come from?

Source

World Bank, World Development Indicators, indicator FB.AST.NPER.ZS, licensed CC BY 4.0. Original source: Financial Soundness Indicators, International Monetary Fund (IMF), uri: https://data.imf.org/en/datasets/IMF:EXTERNAL_DATASET_CARDS/IMF.STA:LFSI Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.

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