Bank non-performing loans to gross loans (%) in Guatemala
Guatemala: Bank non-performing loans to gross loans (%) was 1.8% in 2020. ◆ Volatile
Bank non-performing loans to gross loans in Guatemala, 2001–2020
Source: Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Measured in %.
Analysis
In 2020, bank non-performing loans to gross loans in Guatemala stood at 1.8%.
The figure is down 16.9% on the previous year and down 13.3% over ten years.
Over the whole period, bank non-performing loans to gross loans in Guatemala peaked at 8.1% in 2001 and was at its lowest, 1.2%, in 2013.
Guatemala ranks 106th of 141 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Bank non-performing loans to gross loans (%) in Guatemala, year by year
| Year | % | Change |
|---|---|---|
| 2001 | 8.1% | — |
| 2002 | 7.9% | -2.5% |
| 2003 | 6.5% | -17.7% |
| 2004 | 7.1% | +9.2% |
| 2005 | 2.4% | -66.2% |
| 2006 | 2.3% | -4.2% |
| 2007 | 1.6% | -30.4% |
| 2008 | 2.2% | +37.5% |
| 2009 | 2.7% | +22.7% |
| 2010 | 2.1% | -21.8% |
| 2011 | 1.6% | -23.9% |
| 2012 | 1.3% | -16.3% |
| 2013 | 1.2% | -11.3% |
| 2014 | 1.3% | +7.9% |
| 2015 | 1.3% | +4.6% |
| 2016 | 2.1% | +52.5% |
| 2017 | 2.3% | +13.1% |
| 2018 | 2.2% | -6.4% |
| 2019 | 2.2% | +1.2% |
| 2020 | 1.8% | -16.9% |
Guatemala compared with similar countries
- Guatemala's 1.8% is below the median for upper middle income countries, which is 4.3%, 43% of the median. (43 countries reporting)
- Guatemala's 1.8% is below the median for Latin America & Caribbean, which is 2.4%, 76% of the median. (20 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 4.5% | 1.6% | 8.1% | 9 |
| 2010s | 1.8% | 1.2% | 2.3% | 10 |
| 2020s | 1.8% | 1.8% | 1.8% | 1 |
Countries ranked near Guatemala
More financial sector data for Guatemala
- 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 0.0006 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 4.01 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 0.0004 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 2.93 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 0.0006 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 4.01 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 Guatemala?
- Bank non-performing loans to gross loans in Guatemala was 1.8% in 2020, 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 Guatemala?
- The highest recorded value was 8.1% in 2001.
- What is the lowest bank non-performing loans to gross loans recorded in Guatemala?
- The lowest recorded value was 1.2% in 2013.
- How does Guatemala rank for bank non-performing loans to gross loans?
- Guatemala ranks 106th out of 141 countries with data for 2020.
- Is bank non-performing loans to gross loans rising or falling in Guatemala?
- Over the last ten years it is down 13.3%. The long-run trend across the full record is volatile.
- Where does this Guatemala 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.