El Salvador vs Nepal: IMF-Adapted Readiness score
IMF-Adapted Readiness score over time
- El Salvador
- Nepal
How they compare
Nepal currently reports 0.3918 against 0.3906 in El Salvador, a difference of 0.0012.
The two have swapped places 3 times across 10 shared years of data; in 2015 it was El Salvador ahead.
El Salvador ranks 122nd and Nepal ranks 121st of 192 countries.
El Salvador has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | El Salvador | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.3807 | 0.3512 | 0.0295 | El Salvador |
| 2020s | 0.3848 | 0.3816 | 0.0032 | El Salvador |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher imf-adapted readiness score, El Salvador or Nepal?
- Nepal, at 0.3918 against 0.3906 in El Salvador as of 2024.
- What is the difference in imf-adapted readiness score between El Salvador and Nepal?
- 0.0012, with Nepal ahead.
- How many years of comparable data are there for El Salvador and Nepal?
- 10 years are reported by both, from 2015 to 2024.
- How do El Salvador and Nepal rank globally for imf-adapted readiness score?
- El Salvador ranks 122nd and Nepal ranks 121st of 192 countries.
- Where does this data come from?
- International Monetary Fund, published as IMF-Adapted Readiness score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The ND-GAIN index is a global free open-source index, that measures a country’s current vulnerability to climate disruptions and assesses a country’s readiness to leverage private and public sector investment for adaptive actions. The IMF-adapted ND-GAIN index is an adaptation of the original index, adjusted by IMF staff to replace the Doing Business (DB) Index, used as source data in the original ND-GAIN, because the DB database has been discontinued by the World Bank in 2020 and it is no longer allowed in IMF work. The IMF-adapted ND-GAIN is an interim solution offered by IMF staff until the ND-GAIN compilers will review the methodology and replace the DB index.