Liechtenstein vs Rwanda: Standardised Precipitation-Evapotranspiration Index
Standardised Precipitation-Evapotranspiration Index over time
- Liechtenstein
- Rwanda
How they compare
Liechtenstein currently reports 0.1898 against 0.1688 in Rwanda, a difference of 0.021.
That makes Liechtenstein's figure about 1.1 times Rwanda's.
The two have swapped places 32 times across 64 shared years of data; in 1960 it was Liechtenstein ahead.
Liechtenstein ranks 57th and Rwanda ranks 58th of 188 countries.
Across the 7 decades both report, Liechtenstein averaged higher in 3 and Rwanda in 4.
Head to head by decade
| Decade | Liechtenstein | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.2962 | 0.5004 | 0.2042 | Rwanda |
| 1970s | 0.3257 | 0.6495 | 0.3238 | Rwanda |
| 1980s | 0.4171 | -0.2371 | 0.6542 | Liechtenstein |
| 1990s | 0.0602 | -0.1627 | 0.2228 | Liechtenstein |
| 2000s | -0.3035 | -0.342 | 0.0385 | Liechtenstein |
| 2010s | -0.3736 | 0.309 | 0.6826 | Rwanda |
| 2020s | -0.4413 | 0.7741 | 1.22 | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher standardised precipitation-evapotranspiration index, Liechtenstein or Rwanda?
- Liechtenstein, at 0.1898 against 0.1688 in Rwanda as of 2023.
- What is the difference in standardised precipitation-evapotranspiration index between Liechtenstein and Rwanda?
- 0.021, with Liechtenstein ahead.
- How many years of comparable data are there for Liechtenstein and Rwanda?
- 64 years are reported by both, from 1960 to 2023.
- How do Liechtenstein and Rwanda rank globally for standardised precipitation-evapotranspiration index?
- Liechtenstein ranks 57th and Rwanda ranks 58th of 188 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.