Bangladesh vs Saint Kitts and Nevis: Standardised Precipitation-Evapotranspiration Index
Standardised Precipitation-Evapotranspiration Index over time
- Bangladesh
- Saint Kitts and Nevis
How they compare
Saint Kitts and Nevis currently reports -1 against -1 in Bangladesh, a difference of 0.
The two have swapped places 38 times across 64 shared years of data; in 1960 it was Saint Kitts and Nevis ahead.
Bangladesh ranks 141st and Saint Kitts and Nevis ranks 140th of 189 countries.
Across the 7 decades both report, Bangladesh averaged higher in 3 and Saint Kitts and Nevis in 4.
Head to head by decade
| Decade | Bangladesh | Saint Kitts and Nevis | Difference | Ahead |
|---|---|---|---|---|
| 1960s | -0.3369 | 0.1379 | 0.4749 | Saint Kitts and Nevis |
| 1970s | -0.1591 | 0.0312 | 0.1903 | Saint Kitts and Nevis |
| 1980s | 0.197 | 0.1532 | 0.0439 | Bangladesh |
| 1990s | -0.0545 | -0.3558 | 0.3012 | Bangladesh |
| 2000s | -0.6079 | 0.1627 | 0.7706 | Saint Kitts and Nevis |
| 2010s | -0.681 | -0.5611 | 0.1199 | Saint Kitts and Nevis |
| 2020s | -0.8135 | -1.23 | 0.4165 | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher standardised precipitation-evapotranspiration index, Bangladesh or Saint Kitts and Nevis?
- Saint Kitts and Nevis, at -1 against -1 in Bangladesh as of 2023.
- What is the difference in standardised precipitation-evapotranspiration index between Bangladesh and Saint Kitts and Nevis?
- 0, with Saint Kitts and Nevis ahead.
- How many years of comparable data are there for Bangladesh and Saint Kitts and Nevis?
- 64 years are reported by both, from 1960 to 2023.
- How do Bangladesh and Saint Kitts and Nevis rank globally for standardised precipitation-evapotranspiration index?
- Bangladesh ranks 141st and Saint Kitts and Nevis ranks 140th of 189 countries.
- Where does this data come from?
- Global SPEI database (SPEIbase). https://spei.csic.es/database.html, published as Standardised Precipitation-Evapotranspiration Index. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The SPEI fulfills the requirements of a drought index since its multi-scalar character enables it to be used by different scientific disciplines to detect, monitor, and analyze droughts. Like the sc-PDSI and the SPI, the SPEI can measure drought severity according to its intensity and duration, and can identify the onset and end of drought episodes. The SPEI allows comparison of drought severity through time and space, since it can be calculated over a wide range of climates, as can the SPI.