Haiti vs Niger: Vulnerability score, Habitat
Vulnerability score, Habitat over time
- Haiti
- Niger
How they compare
Niger currently reports 0.6142 against 0.6098 in Haiti, a difference of 0.0044.
The two have swapped places 2 times across 10 shared years of data; in 2015 it was Niger ahead.
Haiti ranks 29th and Niger ranks 28th of 192 countries.
Niger has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Haiti | Niger | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.6093 | 0.6161 | 0.0068 | Niger |
| 2020s | 0.6085 | 0.6156 | 0.0071 | Niger |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, habitat, Haiti or Niger?
- Niger, at 0.6142 against 0.6098 in Haiti as of 2024.
- What is the difference in vulnerability score, habitat between Haiti and Niger?
- 0.0044, with Niger ahead.
- How many years of comparable data are there for Haiti and Niger?
- 10 years are reported by both, from 2015 to 2024.
- How do Haiti and Niger rank globally for vulnerability score, habitat?
- Haiti ranks 29th and Niger ranks 28th 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.