Kuwait vs Panama: Readiness score, Social
Readiness score, Social over time
- Kuwait
- Panama
How they compare
Kuwait currently reports 0.2991 against 0.2941 in Panama, a difference of 0.005.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Kuwait ahead.
Kuwait ranks 117th and Panama ranks 119th of 186 countries.
Kuwait has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Kuwait | Panama | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2845 | 0.2646 | 0.0198 | Kuwait |
| 2020s | 0.2966 | 0.2851 | 0.0115 | Kuwait |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher readiness score, social, Kuwait or Panama?
- Kuwait, at 0.2991 against 0.2941 in Panama as of 2024.
- What is the difference in readiness score, social between Kuwait and Panama?
- 0.005, with Kuwait ahead.
- How many years of comparable data are there for Kuwait and Panama?
- 10 years are reported by both, from 2015 to 2024.
- How do Kuwait and Panama rank globally for readiness score, social?
- Kuwait ranks 117th and Panama ranks 119th of 186 countries.
- Where does this data come from?
- International Monetary Fund, published as Readiness score, Social. 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.