Peru vs Sierra Leone: Vulnerability score, Habitat
Vulnerability score, Habitat over time
- Peru
- Sierra Leone
How they compare
Sierra Leone currently reports 0.6601 against 0.643 in Peru, a difference of 0.0171.
Across all 10 years both countries report, Sierra Leone has been ahead every year.
Peru ranks 13th and Sierra Leone ranks 10th of 192 countries.
Sierra Leone has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Peru | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.6497 | 0.6593 | 0.0096 | Sierra Leone |
| 2020s | 0.6453 | 0.6612 | 0.0158 | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, habitat, Peru or Sierra Leone?
- Sierra Leone, at 0.6601 against 0.643 in Peru as of 2024.
- What is the difference in vulnerability score, habitat between Peru and Sierra Leone?
- 0.0171, with Sierra Leone ahead.
- How many years of comparable data are there for Peru and Sierra Leone?
- 10 years are reported by both, from 2015 to 2024.
- How do Peru and Sierra Leone rank globally for vulnerability score, habitat?
- Peru ranks 13th and Sierra Leone ranks 10th of 192 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Habitat. 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.