Saudi Arabia vs Serbia: Readiness score, Social
Readiness score, Social over time
- Saudi Arabia
- Serbia
How they compare
Saudi Arabia currently reports 0.4566 against 0.4523 in Serbia, a difference of 0.0043.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was Serbia ahead.
Saudi Arabia ranks 44th and Serbia ranks 47th of 186 countries.
Across the 2 decades both report, Saudi Arabia averaged higher in 1 and Serbia in 1.
Head to head by decade
| Decade | Saudi Arabia | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.3842 | 0.4269 | 0.0427 | Serbia |
| 2020s | 0.4476 | 0.4452 | 0.0024 | Saudi Arabia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher readiness score, social, Saudi Arabia or Serbia?
- Saudi Arabia, at 0.4566 against 0.4523 in Serbia as of 2024.
- What is the difference in readiness score, social between Saudi Arabia and Serbia?
- 0.0043, with Saudi Arabia ahead.
- How many years of comparable data are there for Saudi Arabia and Serbia?
- 10 years are reported by both, from 2015 to 2024.
- How do Saudi Arabia and Serbia rank globally for readiness score, social?
- Saudi Arabia ranks 44th and Serbia ranks 47th of 186 countries.
- Where does this data come from?
- International Monetary Fund, published as Readiness score, Social. 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.