Micronesia vs Sudan: Vulnerability score
Vulnerability score over time
- Micronesia
- Sudan
How they compare
Micronesia currently reports 0.6212 against 0.6119 in Sudan, a difference of 0.0093.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Micronesia ahead.
Micronesia ranks 4th and Sudan ranks 6th of 187 countries.
Micronesia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Micronesia | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.6186 | 0.607 | 0.0116 | Micronesia |
| 2020s | 0.6205 | 0.6089 | 0.0116 | Micronesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, Micronesia or Sudan?
- Micronesia, at 0.6212 against 0.6119 in Sudan as of 2024.
- What is the difference in vulnerability score between Micronesia and Sudan?
- 0.0093, with Micronesia ahead.
- How many years of comparable data are there for Micronesia and Sudan?
- 10 years are reported by both, from 2015 to 2024.
- How do Micronesia and Sudan rank globally for vulnerability score?
- Micronesia ranks 4th and Sudan ranks 6th of 187 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability 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.