Bank regulatory capital to risk-weighted assets in Guatemala
Guatemala: Bank regulatory capital to risk-weighted assets was 16.2% in 2020. ▲ Rising
Bank regulatory capital to risk-weighted assets in Guatemala, 2001–2020
Source: Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Measured in %.
Analysis
In 2020, bank regulatory capital to risk-weighted assets in Guatemala stood at 16.2%.
That represents a change of down 1.1% on the previous year and up 3.3% over ten years.
Over the whole period, bank regulatory capital to risk-weighted assets in Guatemala peaked at 16.4% in 2019 and was at its lowest, 13.5%, in 2008.
Guatemala ranks 106th of 141 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 20 years of available data.
Bank regulatory capital to risk-weighted assets in Guatemala, year by year
| Year | % | Change |
|---|---|---|
| 2001 | 14.1% | — |
| 2002 | 14.9% | +5.7% |
| 2003 | 15.6% | +4.7% |
| 2004 | 14.5% | -7.1% |
| 2005 | 13.7% | -5.5% |
| 2006 | 13.6% | -0.7% |
| 2007 | 13.8% | +1.5% |
| 2008 | 13.5% | -2.2% |
| 2009 | 15.9% | +17.8% |
| 2010 | 15.7% | -1.1% |
| 2011 | 15.3% | -2.4% |
| 2012 | 14.7% | -4.4% |
| 2013 | 14.8% | +0.8% |
| 2014 | 14.6% | -1.5% |
| 2015 | 14.1% | -3.1% |
| 2016 | 14.9% | +5.9% |
| 2017 | 15.9% | +6.5% |
| 2018 | 15.9% | -0.0% |
| 2019 | 16.4% | +3.3% |
| 2020 | 16.2% | -1.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 14.4% | 13.5% | 15.9% | 9 |
| 2010s | 15.2% | 14.1% | 16.4% | 10 |
| 2020s | 16.2% | 16.2% | 16.2% | 1 |
Countries ranked near Guatemala
- 103 Sri Lanka 16.5% compare
- 104 Philippines 16.3% compare
- 105 United States of America 16.3% compare
- 107 Oman 16.2% compare
- 108 Jordan 16.1% compare
- 109 Tajikistan 16.1% compare
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 regulatory capital to risk-weighted assets in Guatemala?
- Bank regulatory capital to risk-weighted assets in Guatemala was 16.2% in 2020, according to Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF).
- What is the highest bank regulatory capital to risk-weighted assets recorded in Guatemala?
- The highest recorded value was 16.4% in 2019.
- What is the lowest bank regulatory capital to risk-weighted assets recorded in Guatemala?
- The lowest recorded value was 13.5% in 2008.
- How does Guatemala rank for bank regulatory capital to risk-weighted assets?
- Guatemala ranks 106th out of 141 countries with data for 2020.
- Is bank regulatory capital to risk-weighted assets rising or falling in Guatemala?
- Over the last ten years it is up 3.3%. The long-run trend across the full record is rising.
- 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 regulatory capital to risk-weighted assets (%). 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.