Ghana vs Qatar: Vulnerability score, Sensitivity
Vulnerability score, Sensitivity over time
- Ghana
- Qatar
How they compare
Qatar currently reports 0.3469 against 0.3459 in Ghana, a difference of 0.001.
The two have swapped places 3 times across 10 shared years of data; in 2015 it was Ghana ahead.
Ghana ranks 73rd and Qatar ranks 71st of 182 countries.
Qatar has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Ghana | Qatar | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.3487 | 0.3571 | 0.0084 | Qatar |
| 2020s | 0.3493 | 0.353 | 0.0036 | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, sensitivity, Ghana or Qatar?
- Qatar, at 0.3469 against 0.3459 in Ghana as of 2024.
- What is the difference in vulnerability score, sensitivity between Ghana and Qatar?
- 0.001, with Qatar ahead.
- How many years of comparable data are there for Ghana and Qatar?
- 10 years are reported by both, from 2015 to 2024.
- How do Ghana and Qatar rank globally for vulnerability score, sensitivity?
- Ghana ranks 73rd and Qatar ranks 71st of 182 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Sensitivity. 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.