Burundi vs Peru: Vulnerability score, Habitat
Vulnerability score, Habitat over time
- Burundi
- Peru
How they compare
Peru currently reports 0.643 against 0.642 in Burundi, a difference of 0.001.
The two have swapped places 4 times across 10 shared years of data; in 2015 it was Peru ahead.
Burundi ranks 14th and Peru ranks 13th of 192 countries.
Peru has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Burundi | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.6443 | 0.6497 | 0.0055 | Peru |
| 2020s | 0.644 | 0.6453 | 0.0014 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, habitat, Burundi or Peru?
- Peru, at 0.643 against 0.642 in Burundi as of 2024.
- What is the difference in vulnerability score, habitat between Burundi and Peru?
- 0.001, with Peru ahead.
- How many years of comparable data are there for Burundi and Peru?
- 10 years are reported by both, from 2015 to 2024.
- How do Burundi and Peru rank globally for vulnerability score, habitat?
- Burundi ranks 14th and Peru ranks 13th 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.