Bank non-performing loans to gross loans in Argentina

Argentina: Bank non-performing loans to gross loans was 3.9% in 2020. ◆ Volatile

Latest (2020)
3.9%
Change on year
down 32.8%
World rank
72nd
of 141 countries
All-time high
18.1%
in 2002
All-time low
1.4%
in 2011
Years of data
23
1998–2020

Bank non-performing loans to gross loans in Argentina, 1998–2020

051015201998200920201998: 5.3 %1999: 8.9 %2000: 16 %2001: 13.1 %2002: 18.1 %2003: 17.7 %2004: 10.7 %2005: 5.2 %2006: 3.4 %2007: 2.7 %2008: 3.1 %2009: 3.5 %2010: 2.1 %2011: 1.4 %2012: 1.7 %2013: 1.7 %2014: 2 %2015: 1.7 %2016: 1.8 %2017: 1.8 %2018: 3.1 %2019: 5.7 %2020: 3.9 %

Source: Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Measured in %.

Analysis

Argentina recorded 3.9% for bank non-performing loans to gross loans in 2020.

The figure is down 32.8% on the previous year and up 82.4% over ten years.

Over the whole period, bank non-performing loans to gross loans in Argentina peaked at 18.1% in 2002 and was at its lowest, 1.4%, in 2011.

That places Argentina 72nd out of 141 countries with data for 2020, putting it in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Bank non-performing loans to gross loans in Argentina, year by year

Annual values for Bank non-performing loans to gross loans (%) in Argentina, 1998 to 2020.
Year % Change
1998 5.3%
1999 8.9% +67.9%
2000 16.0% +79.8%
2001 13.1% -18.1%
2002 18.1% +38.2%
2003 17.7% -2.2%
2004 10.7% -39.5%
2005 5.2% -51.4%
2006 3.4% -34.6%
2007 2.7% -20.6%
2008 3.1% +14.8%
2009 3.5% +12.9%
2010 2.1% -39.5%
2011 1.4% -34.1%
2012 1.7% +24.3%
2013 1.7% -0.1%
2014 2.0% +14.9%
2015 1.7% -12.7%
2016 1.8% +5.7%
2017 1.8% -0.3%
2018 3.1% +69.8%
2019 5.7% +84.9%
2020 3.9% -32.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 7.1% 5.3% 8.9% 2
2000s 9.3% 2.7% 18.1% 10
2010s 2.3% 1.4% 5.7% 10
2020s 3.9% 3.9% 3.9% 1

Countries ranked near Argentina

  1. 69 Peru 4.1% compare
  2. 70 Turkey 3.9% compare
  3. 71 Brunei Darussalam 3.9% compare
  4. 73 Romania 3.8% compare
  5. 74 Poland 3.7% compare
  6. 75 Malta 3.7% compare

See the full ranking of 141 places →

More financial sector data for Argentina

All data for Argentina →

Frequently asked questions

What is bank non-performing loans to gross loans in Argentina?
Bank non-performing loans to gross loans in Argentina was 3.9% 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 Argentina?
The highest recorded value was 18.1% in 2002.
What is the lowest bank non-performing loans to gross loans recorded in Argentina?
The lowest recorded value was 1.4% in 2011.
How does Argentina rank for bank non-performing loans to gross loans?
Argentina ranks 72nd out of 141 countries with data for 2020.
Is bank non-performing loans to gross loans rising or falling in Argentina?
Over the last ten years it is up 82.4%. The long-run trend across the full record is volatile.
Where does this Argentina 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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Bank non-performing loans to gross loans in Argentina. Statizoid, drawing on Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Retrieved 02 September 2026, from https://financial-sector.statizoid.com/stat/bank-non-performing-loans-to-gross-loans-percent/argentina/

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About this data

Indicator
Bank non-performing loans to gross loans (%)
Unit
%
Source
Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
141 places, 2,464 data points, 1998–2020
Last refreshed

Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries.