Brazil vs Mali: Vulnerability score, Habitat
Vulnerability score, Habitat over time
- Brazil
- Mali
How they compare
Mali currently reports 0.6023 against 0.5959 in Brazil, a difference of 0.0064.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was Brazil ahead.
Brazil ranks 36th and Mali ranks 33rd of 192 countries.
Across the 2 decades both report, Brazil averaged higher in 1 and Mali in 1.
Head to head by decade
| Decade | Brazil | Mali | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.6 | 0.5888 | 0.0112 | Brazil |
| 2020s | 0.5967 | 0.6003 | 0.0037 | Mali |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, habitat, Brazil or Mali?
- Mali, at 0.6023 against 0.5959 in Brazil as of 2024.
- What is the difference in vulnerability score, habitat between Brazil and Mali?
- 0.0064, with Mali ahead.
- How many years of comparable data are there for Brazil and Mali?
- 10 years are reported by both, from 2015 to 2024.
- How do Brazil and Mali rank globally for vulnerability score, habitat?
- Brazil ranks 36th and Mali ranks 33rd 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.