Cambodia vs Sudan: Vulnerability score, Infrastructure
Vulnerability score, Infrastructure over time
- Cambodia
- Sudan
How they compare
Sudan currently reports 0.2612 against 0.2596 in Cambodia, a difference of 0.0016.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Sudan ahead.
Cambodia ranks 94th and Sudan ranks 93rd of 169 countries.
Across the 2 decades both report, Cambodia averaged higher in 1 and Sudan in 1.
Head to head by decade
| Decade | Cambodia | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2764 | 0.3138 | 0.0374 | Sudan |
| 2020s | 0.2689 | 0.2659 | 0.003 | Cambodia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, infrastructure, Cambodia or Sudan?
- Sudan, at 0.2612 against 0.2596 in Cambodia as of 2024.
- What is the difference in vulnerability score, infrastructure between Cambodia and Sudan?
- 0.0016, with Sudan ahead.
- How many years of comparable data are there for Cambodia and Sudan?
- 10 years are reported by both, from 2015 to 2024.
- How do Cambodia and Sudan rank globally for vulnerability score, infrastructure?
- Cambodia ranks 94th and Sudan ranks 93rd of 169 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Infrastructure. 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.