China vs Jordan: Vulnerability score, Heath
Vulnerability score, Heath over time
- China
- Jordan
How they compare
China currently reports 0.3779 against 0.3775 in Jordan, a difference of 0.0004.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was China ahead.
China ranks 122nd and Jordan ranks 123rd of 190 countries.
China has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | China | Jordan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4083 | 0.3646 | 0.0436 | China |
| 2020s | 0.3798 | 0.377 | 0.0029 | China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, heath, China or Jordan?
- China, at 0.3779 against 0.3775 in Jordan as of 2024.
- What is the difference in vulnerability score, heath between China and Jordan?
- 0.0004, with China ahead.
- How many years of comparable data are there for China and Jordan?
- 10 years are reported by both, from 2015 to 2024.
- How do China and Jordan rank globally for vulnerability score, heath?
- China ranks 122nd and Jordan ranks 123rd 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.