Argentina vs Chile: Provisions to nonperforming loans
Provisions to nonperforming loans over time
- Argentina
- Chile
How they compare
Chile currently reports 171.4% against 151.3% in Argentina, a difference of 20.1%.
That makes Chile's figure about 1.1 times Argentina's.
The two have swapped places 2 times across 23 shared years of data; in 1998 it was Chile ahead.
Argentina ranks 10th and Chile ranks 7th of 140 countries.
Across the 4 decades both report, Argentina averaged higher in 1 and Chile in 3.
Head to head by decade
| Decade | Argentina | Chile | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 65.3% | 142.2% | 76.8% | Chile |
| 2000s | 96.0% | 156.2% | 60.3% | Chile |
| 2010s | 138.6% | 115.2% | 23.3% | Argentina |
| 2020s | 151.3% | 171.4% | 20.1% | Chile |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher provisions to nonperforming loans, Argentina or Chile?
- Chile, at 171.4% against 151.3% in Argentina as of 2020.
- What is the difference in provisions to nonperforming loans between Argentina and Chile?
- 20.1%, with Chile ahead.
- How many years of comparable data are there for Argentina and Chile?
- 23 years are reported by both, from 1998 to 2020.
- How do Argentina and Chile rank globally for provisions to nonperforming loans?
- Argentina ranks 10th and Chile ranks 7th of 140 countries.
- Where does this data come from?
- Financial Soundness Indicators Database (fsi.imf.org), International Monetary Fund (IMF), published as Provisions to nonperforming loans (%). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Provisions to nonperforming loans. Nonperforming Loans are loans for which the contractual payments are delinquent, usually defined as and NPL ratio being overdue for more than a certain number of days (e.g., usually more than 90 days). Reported by IMF staff. Note that due to differences in national accounting, taxation, and supervisory regimes, these data are not strictly comparable across countries.