Botswana vs Peru: IMF-Adapted ND-GAIN Index
IMF-Adapted ND-GAIN Index over time
- Botswana
- Peru
How they compare
Peru currently reports 0.5053 against 0.503 in Botswana, a difference of 0.0023.
The two have swapped places 1 time across 10 shared years of data; in 2015 it was Botswana ahead.
Botswana ranks 93rd and Peru ranks 91st of 187 countries.
Peru has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Botswana | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.5047 | 0.5071 | 0.0024 | Peru |
| 2020s | 0.5033 | 0.5106 | 0.0073 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher imf-adapted nd-gain index, Botswana or Peru?
- Peru, at 0.5053 against 0.503 in Botswana as of 2024.
- What is the difference in imf-adapted nd-gain index between Botswana and Peru?
- 0.0023, with Peru ahead.
- How many years of comparable data are there for Botswana and Peru?
- 10 years are reported by both, from 2015 to 2024.
- How do Botswana and Peru rank globally for imf-adapted nd-gain index?
- Botswana ranks 93rd and Peru ranks 91st of 187 countries.
- Where does this data come from?
- International Monetary Fund, published as IMF-Adapted ND-GAIN Index. 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.