Argentina vs Indonesia: Vulnerability score, Heath
Vulnerability score, Heath over time
- Argentina
- Indonesia
How they compare
Indonesia currently reports 0.4084 against 0.4063 in Argentina, a difference of 0.0021.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Indonesia ahead.
Argentina ranks 112th and Indonesia ranks 111th of 190 countries.
Indonesia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Argentina | Indonesia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4092 | 0.423 | 0.0137 | Indonesia |
| 2020s | 0.4032 | 0.4095 | 0.0063 | Indonesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, heath, Argentina or Indonesia?
- Indonesia, at 0.4084 against 0.4063 in Argentina as of 2024.
- What is the difference in vulnerability score, heath between Argentina and Indonesia?
- 0.0021, with Indonesia ahead.
- How many years of comparable data are there for Argentina and Indonesia?
- 10 years are reported by both, from 2015 to 2024.
- How do Argentina and Indonesia rank globally for vulnerability score, heath?
- Argentina ranks 112th and Indonesia ranks 111th of 190 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Heath. 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.