Georgia vs Lebanon: Vulnerability score
Vulnerability score over time
- Georgia
- Lebanon
How they compare
Lebanon currently reports 0.3991 against 0.3943 in Georgia, a difference of 0.0048.
The two have swapped places 3 times across 10 shared years of data; in 2015 it was Georgia ahead.
Georgia ranks 111th and Lebanon ranks 109th of 187 countries.
Across the 2 decades both report, Georgia averaged higher in 1 and Lebanon in 1.
Head to head by decade
| Decade | Georgia | Lebanon | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4095 | 0.4044 | 0.0051 | Georgia |
| 2020s | 0.3944 | 0.3997 | 0.0053 | Lebanon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, Georgia or Lebanon?
- Lebanon, at 0.3991 against 0.3943 in Georgia as of 2024.
- What is the difference in vulnerability score between Georgia and Lebanon?
- 0.0048, with Lebanon ahead.
- How many years of comparable data are there for Georgia and Lebanon?
- 10 years are reported by both, from 2015 to 2024.
- How do Georgia and Lebanon rank globally for vulnerability score?
- Georgia ranks 111th and Lebanon ranks 109th 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.