Gabon vs Libya: Vulnerability score, Capacity
Vulnerability score, Capacity over time
- Gabon
- Libya
How they compare
Gabon currently reports 0.6425 against 0.6411 in Libya, a difference of 0.0014.
The two have swapped places 3 times across 10 shared years of data; in 2015 it was Libya ahead.
Gabon ranks 46th and Libya ranks 48th of 177 countries.
Gabon has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Gabon | Libya | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.6543 | 0.6503 | 0.0039 | Gabon |
| 2020s | 0.6464 | 0.6431 | 0.0033 | Gabon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, capacity, Gabon or Libya?
- Gabon, at 0.6425 against 0.6411 in Libya as of 2024.
- What is the difference in vulnerability score, capacity between Gabon and Libya?
- 0.0014, with Gabon ahead.
- How many years of comparable data are there for Gabon and Libya?
- 10 years are reported by both, from 2015 to 2024.
- How do Gabon and Libya rank globally for vulnerability score, capacity?
- Gabon ranks 46th and Libya ranks 48th of 177 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Capacity. 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.