Iran vs Paraguay: Vulnerability score, Food
Vulnerability score, Food over time
- Iran
- Paraguay
How they compare
Paraguay currently reports 0.4525 against 0.4509 in Iran, a difference of 0.0016.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Paraguay ahead.
Iran ranks 103rd and Paraguay ranks 101st of 189 countries.
Paraguay has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Iran | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4391 | 0.4587 | 0.0196 | Paraguay |
| 2020s | 0.4512 | 0.4539 | 0.0027 | Paraguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, food, Iran or Paraguay?
- Paraguay, at 0.4525 against 0.4509 in Iran as of 2024.
- What is the difference in vulnerability score, food between Iran and Paraguay?
- 0.0016, with Paraguay ahead.
- How many years of comparable data are there for Iran and Paraguay?
- 10 years are reported by both, from 2015 to 2024.
- How do Iran and Paraguay rank globally for vulnerability score, food?
- Iran ranks 103rd and Paraguay ranks 101st 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.