Nigeria vs Togo: Vulnerability score, Food
Vulnerability score, Food over time
- Nigeria
- Togo
How they compare
Nigeria currently reports 0.6054 against 0.6033 in Togo, a difference of 0.0021.
The two have swapped places 3 times across 10 shared years of data; in 2015 it was Togo ahead.
Nigeria ranks 27th and Togo ranks 28th of 189 countries.
Across the 2 decades both report, Nigeria averaged higher in 1 and Togo in 1.
Head to head by decade
| Decade | Nigeria | Togo | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.5957 | 0.604 | 0.0084 | Togo |
| 2020s | 0.6039 | 0.6001 | 0.0038 | Nigeria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, food, Nigeria or Togo?
- Nigeria, at 0.6054 against 0.6033 in Togo as of 2024.
- What is the difference in vulnerability score, food between Nigeria and Togo?
- 0.0021, with Nigeria ahead.
- How many years of comparable data are there for Nigeria and Togo?
- 10 years are reported by both, from 2015 to 2024.
- How do Nigeria and Togo rank globally for vulnerability score, food?
- Nigeria ranks 27th and Togo ranks 28th 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.