Bank non-performing loans to gross loans (%) in Sierra Leone
Sierra Leone: Bank non-performing loans to gross loans (%) was 31.7% in 2015. ▲ Rising
Bank non-performing loans to gross loans in Sierra Leone, 2000–2015
Source: Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Measured in %.
Analysis
In 2015, bank non-performing loans to gross loans in Sierra Leone stood at 31.7%.
Compared with earlier readings it is down 5.1% on the previous year and up 18.4% over ten years.
Over the whole period, bank non-performing loans to gross loans in Sierra Leone peaked at 37.9% in 2000 and was at its lowest, 7.4%, in 2003.
That places Sierra Leone 3rd out of 141 countries with data for 2015, putting it in the top 10%.
The long-run direction has been consistently rising across the 15 years of available data.
Bank non-performing loans to gross loans (%) in Sierra Leone, year by year
| Year | % | Change |
|---|---|---|
| 2000 | 37.9% | — |
| 2002 | 11.0% | -71.0% |
| 2003 | 7.4% | -32.7% |
| 2004 | 16.5% | +123.0% |
| 2005 | 26.8% | +62.4% |
| 2006 | 26.9% | +0.4% |
| 2007 | 25.6% | -4.8% |
| 2008 | 17.9% | -30.1% |
| 2009 | 10.6% | -40.8% |
| 2010 | 15.6% | +47.3% |
| 2011 | 15.1% | -3.4% |
| 2012 | 14.7% | -2.3% |
| 2013 | 22.4% | +52.1% |
| 2014 | 33.4% | +49.2% |
| 2015 | 31.7% | -5.1% |
Sierra Leone compared with similar countries
- Sierra Leone's 31.7% is above the median for low income countries, which is 7.6%, 4.2× the median. (11 countries reporting)
- Sierra Leone's 31.7% is above the median for Sub-Saharan Africa, which is 8.2%, 3.9× the median. (29 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 20.1% | 7.4% | 37.9% | 9 |
| 2010s | 22.2% | 14.7% | 33.4% | 6 |
Countries ranked near Sierra Leone
- 1 Equatorial Guinea 48.8% compare
- 2 Ukraine 41.0% compare
- 4 Mauritania 27.6% compare
- 5 Greece 27.0% compare
- 6 Congo 24.8% compare
More financial sector data for Sierra Leone
- 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 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 0.0037 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 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 0.0027 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 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 0.0037 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 0 % change on previous year (2025)
Frequently asked questions
- What is bank non-performing loans to gross loans in Sierra Leone?
- Bank non-performing loans to gross loans in Sierra Leone was 31.7% in 2015, according to Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF).
- What is the highest bank non-performing loans to gross loans recorded in Sierra Leone?
- The highest recorded value was 37.9% in 2000.
- What is the lowest bank non-performing loans to gross loans recorded in Sierra Leone?
- The lowest recorded value was 7.4% in 2003.
- How does Sierra Leone rank for bank non-performing loans to gross loans?
- Sierra Leone ranks 3rd out of 141 countries with data for 2015.
- Is bank non-performing loans to gross loans rising or falling in Sierra Leone?
- Over the last ten years it is up 18.4%. The long-run trend across the full record is rising.
- Where does this Sierra Leone data come from?
- The figures come from Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF), published as part of Bank non-performing loans to gross loans (%). Statizoid updates them automatically from the source API.
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About this data
Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries.