Bank non-performing loans to gross loans in India
India: Bank non-performing loans to gross loans was 7.9% in 2020. ◆ Volatile
Bank non-performing loans to gross loans in India, 1998–2020
Source: Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF). Measured in %.
Analysis
The most recent figure for bank non-performing loans to gross loans in India is 7.9%, measured in 2020.
The figure is down 14.0% on the previous year and up 232.7% over ten years.
Over the whole period, bank non-performing loans to gross loans in India peaked at 14.7% in 1999 and was at its lowest, 2.2%, in 2009.
That places India 37th 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 India, year by year
| Year | % | Change |
|---|---|---|
| 1998 | 14.4% | — |
| 1999 | 14.7% | +2.1% |
| 2000 | 12.8% | -12.9% |
| 2001 | 11.4% | -10.9% |
| 2002 | 10.4% | -8.8% |
| 2003 | 8.8% | -15.4% |
| 2004 | 7.2% | -18.2% |
| 2005 | 5.2% | -27.8% |
| 2006 | 3.5% | -32.7% |
| 2007 | 2.7% | -22.9% |
| 2008 | 2.4% | -11.1% |
| 2009 | 2.2% | -8.3% |
| 2010 | 2.4% | +8.5% |
| 2011 | 2.7% | +11.9% |
| 2012 | 3.4% | +26.4% |
| 2013 | 4.0% | +19.4% |
| 2014 | 4.3% | +7.9% |
| 2015 | 5.9% | +35.4% |
| 2016 | 9.2% | +56.1% |
| 2017 | 10.0% | +8.6% |
| 2018 | 9.5% | -5.2% |
| 2019 | 9.2% | -2.4% |
| 2020 | 7.9% | -14.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 14.6% | 14.4% | 14.7% | 2 |
| 2000s | 6.7% | 2.2% | 12.8% | 10 |
| 2010s | 6.1% | 2.4% | 10.0% | 10 |
| 2020s | 7.9% | 7.9% | 7.9% | 1 |
Countries ranked near India
- 34 Gabon 8.2% compare
- 35 United Arab Emirates 8.2% compare
- 36 Albania 8.1% compare
- 38 Bangladesh 7.7% compare
- 39 Eswatini 7.7% compare
- 40 Madagascar 7.6% compare
More financial sector data for India
- Total reserves in months of imports, annual growth rate 4.72 % change on previous year (2025)
- Total reserves in months of imports, per unit of GDP 0 units per US$ of GDP (2025)
- Total reserves in months of imports, per capita 0 units per person (2025)
- Reserves excluding gold, foreign exchange (SDR), annual growth rate -3.83 % change on previous year (2025)
- Reserves excluding gold, foreign exchange (SDR), per unit of GDP 0.1021 SDR per US$ of GDP (2025)
- Reserves excluding gold, foreign exchange (SDR), per capita 275.79 SDR per person (2025)
- Reserves excluding gold (SDR), annual growth rate -3.62 % change on previous year (2025)
- Reserves excluding gold (SDR), per capita 287.54 SDR per person (2025)
- Total reserves (gold at market value) (SDR), annual growth rate 3.67 % change on previous year (2025)
- Total reserves (gold at market value) (SDR), per capita 349.2 SDR per person (2025)
Frequently asked questions
- What is bank non-performing loans to gross loans in India?
- Bank non-performing loans to gross loans in India was 7.9% 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 India?
- The highest recorded value was 14.7% in 1999.
- What is the lowest bank non-performing loans to gross loans recorded in India?
- The lowest recorded value was 2.2% in 2009.
- How does India rank for bank non-performing loans to gross loans?
- India ranks 37th out of 141 countries with data for 2020.
- Is bank non-performing loans to gross loans rising or falling in India?
- Over the last ten years it is up 232.7%. The long-run trend across the full record is volatile.
- Where does this India 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.