France vs Lebanon: Vulnerability score, Food
Vulnerability score, Food over time
- France
- Lebanon
How they compare
Lebanon currently reports 0.3135 against 0.2927 in France, a difference of 0.0208.
That makes Lebanon's figure about 1.1 times France's.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Lebanon ahead.
France ranks 162nd and Lebanon ranks 159th of 189 countries.
Lebanon has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | France | Lebanon | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.294 | 0.2971 | 0.0031 | Lebanon |
| 2020s | 0.2931 | 0.3095 | 0.0164 | Lebanon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, food, France or Lebanon?
- Lebanon, at 0.3135 against 0.2927 in France as of 2024.
- What is the difference in vulnerability score, food between France and Lebanon?
- 0.0208, with Lebanon ahead.
- How many years of comparable data are there for France and Lebanon?
- 10 years are reported by both, from 2015 to 2024.
- How do France and Lebanon rank globally for vulnerability score, food?
- France ranks 162nd and Lebanon ranks 159th of 189 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Food. 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.