Provisions to nonperforming loans (%) in Congo
Congo: Provisions to nonperforming loans (%) was 42.4% in 2020. ▼ Falling
Provisions to nonperforming loans in Congo, 2010–2020
Source: Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Measured in %.
Analysis
The most recent figure for provisions to nonperforming loans in Congo is 42.4%, measured in 2020.
Compared with earlier readings it is up 1.7% on the previous year and down 59.8% over ten years.
Over the whole period, provisions to nonperforming loans in Congo peaked at 105.4% in 2010 and was at its lowest, 41.7%, in 2019.
That places Congo 115th out of 140 countries with data for 2020, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 11 years of available data.
Provisions to nonperforming loans (%) in Congo, year by year
| Year | % | Change |
|---|---|---|
| 2010 | 105.4% | — |
| 2011 | 94.1% | -10.7% |
| 2012 | 89.5% | -4.9% |
| 2013 | 95.9% | +7.1% |
| 2014 | 64.5% | -32.7% |
| 2015 | 72.9% | +12.9% |
| 2016 | 63.9% | -12.3% |
| 2017 | 42.2% | -34.0% |
| 2018 | 44.3% | +5.0% |
| 2019 | 41.7% | -5.9% |
| 2020 | 42.4% | +1.7% |
Congo compared with similar countries
- Congo's 42.4% is below the median for lower middle income countries, which is 62.3%, 68% of the median. (32 countries reporting)
- Congo's 42.4% is below the median for Sub-Saharan Africa, which is 60.0%, 71% of the median. (29 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 71.4% | 41.7% | 105.4% | 10 |
| 2020s | 42.4% | 42.4% | 42.4% | 1 |
Countries ranked near Congo
- 112 New Zealand 43.6% compare
- 113 South Africa 43.4% compare
- 114 Finland 42.4% compare
- 116 Namibia 41.2% compare
- 117 Belgium 41.1% compare
- 118 Switzerland 40.3% compare
More financial sector data for Congo
- Reserve position in the IMF, US dollar, annual growth rate 5.01 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.0017 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 4.25 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate 0 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.0012 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 3.1 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 5.01 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.0017 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 4.25 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 0 % change on previous year (2025)
Frequently asked questions
- What is provisions to nonperforming loans in Congo?
- Provisions to nonperforming loans in Congo was 42.4% in 2020, according to Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF).
- What is the highest provisions to nonperforming loans recorded in Congo?
- The highest recorded value was 105.4% in 2010.
- What is the lowest provisions to nonperforming loans recorded in Congo?
- The lowest recorded value was 41.7% in 2019.
- How does Congo rank for provisions to nonperforming loans?
- Congo ranks 115th out of 140 countries with data for 2020.
- Is provisions to nonperforming loans rising or falling in Congo?
- Over the last ten years it is down 59.8%. The long-run trend across the full record is falling.
- Where does this Congo data come from?
- The figures come from Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF), published as part of Provisions to nonperforming loans (%). Statizoid updates them automatically from the source API.
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About this data
Provisions to nonperforming loans. Nonperforming Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries.