Kenya vs Liberia: Vulnerability score, Heath
Vulnerability score, Heath over time
- Kenya
- Liberia
How they compare
Kenya currently reports 0.6924 against 0.6847 in Liberia, a difference of 0.0077.
The two have swapped places 3 times across 10 shared years of data; in 2015 it was Liberia ahead.
Kenya ranks 28th and Liberia ranks 29th of 190 countries.
Across the 2 decades both report, Kenya averaged higher in 1 and Liberia in 1.
Head to head by decade
| Decade | Kenya | Liberia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.697 | 0.7519 | 0.0549 | Liberia |
| 2020s | 0.6908 | 0.6844 | 0.0064 | Kenya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, heath, Kenya or Liberia?
- Kenya, at 0.6924 against 0.6847 in Liberia as of 2024.
- What is the difference in vulnerability score, heath between Kenya and Liberia?
- 0.0077, with Kenya ahead.
- How many years of comparable data are there for Kenya and Liberia?
- 10 years are reported by both, from 2015 to 2024.
- How do Kenya and Liberia rank globally for vulnerability score, heath?
- Kenya ranks 28th and Liberia ranks 29th 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.