Ghana vs Iran: Vulnerability score, Ecosystems
Vulnerability score, Ecosystems over time
- Ghana
- Iran
How they compare
Ghana currently reports 0.4778 against 0.4729 in Iran, a difference of 0.0049.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was Iran ahead.
Ghana ranks 81st and Iran ranks 82nd of 180 countries.
Ghana has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Ghana | Iran | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4756 | 0.4747 | 0.001 | Ghana |
| 2020s | 0.4772 | 0.4733 | 0.004 | Ghana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, ecosystems, Ghana or Iran?
- Ghana, at 0.4778 against 0.4729 in Iran as of 2024.
- What is the difference in vulnerability score, ecosystems between Ghana and Iran?
- 0.0049, with Ghana ahead.
- How many years of comparable data are there for Ghana and Iran?
- 10 years are reported by both, from 2015 to 2024.
- How do Ghana and Iran rank globally for vulnerability score, ecosystems?
- Ghana ranks 81st and Iran ranks 82nd of 180 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Ecosystems. 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.