Panama vs Peru: IMF-Adapted Readiness score
IMF-Adapted Readiness score over time
- Panama
- Peru
How they compare
Panama currently reports 0.4211 against 0.4198 in Peru, a difference of 0.0013.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Panama ahead.
Panama ranks 104th and Peru ranks 106th of 192 countries.
Peru has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Panama | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4317 | 0.4323 | 0.0006 | Peru |
| 2020s | 0.4109 | 0.4304 | 0.0195 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher imf-adapted readiness score, Panama or Peru?
- Panama, at 0.4211 against 0.4198 in Peru as of 2024.
- What is the difference in imf-adapted readiness score between Panama and Peru?
- 0.0013, with Panama ahead.
- How many years of comparable data are there for Panama and Peru?
- 10 years are reported by both, from 2015 to 2024.
- How do Panama and Peru rank globally for imf-adapted readiness score?
- Panama ranks 104th and Peru ranks 106th 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.