Congo vs Jamaica: Readiness score, Social
Readiness score, Social over time
- Congo
- Jamaica
How they compare
Jamaica currently reports 0.2849 against 0.2797 in Congo, a difference of 0.0052.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was Congo ahead.
Congo ranks 129th and Jamaica ranks 126th of 186 countries.
Jamaica has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Congo | Jamaica | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2589 | 0.2599 | 0.001 | Jamaica |
| 2020s | 0.2765 | 0.2823 | 0.0059 | Jamaica |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher readiness score, social, Congo or Jamaica?
- Jamaica, at 0.2849 against 0.2797 in Congo as of 2024.
- What is the difference in readiness score, social between Congo and Jamaica?
- 0.0052, with Jamaica ahead.
- How many years of comparable data are there for Congo and Jamaica?
- 10 years are reported by both, from 2015 to 2024.
- How do Congo and Jamaica rank globally for readiness score, social?
- Congo ranks 129th and Jamaica ranks 126th 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.