Botswana vs Lithuania: Standardised Precipitation-Evapotranspiration Index

Botswana
-0.6872
in 2023
Lithuania
-0.6648
in 2023
Botswana rank
113th
Lithuania rank
112th

Standardised Precipitation-Evapotranspiration Index over time

  • Botswana
  • Lithuania
-202196019912023

How they compare

Lithuania currently reports -0.6648 against -0.6872 in Botswana, a difference of 0.0224.

The two have swapped places 32 times across 64 shared years of data; in 1960 it was Lithuania ahead.

Botswana ranks 113th and Lithuania ranks 112th of 188 countries.

Across the 7 decades both report, Botswana averaged higher in 4 and Lithuania in 3.

Head to head by decade

Decade Botswana Lithuania Difference Ahead
1960s -0.0978 -0.2585 0.1606 Botswana
1970s 0.8457 0.0523 0.7934 Botswana
1980s -0.4473 0.4062 0.8535 Lithuania
1990s -0.7016 -0.1274 0.5742 Lithuania
2000s -0.2308 -0.4035 0.1726 Botswana
2010s -0.6137 -0.2268 0.3869 Lithuania
2020s -0.2361 -0.6481 0.412 Botswana

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Botswana or Lithuania?
Lithuania, at -0.6648 against -0.6872 in Botswana as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Botswana and Lithuania?
0.0224, with Lithuania ahead.
How many years of comparable data are there for Botswana and Lithuania?
64 years are reported by both, from 1960 to 2023.
How do Botswana and Lithuania rank globally for standardised precipitation-evapotranspiration index?
Botswana ranks 113th and Lithuania ranks 112th 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

Indicator
Standardised Precipitation-Evapotranspiration Index
Source
Global SPEI database (SPEIbase). https://spei.csic.es/database.html
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
189 places, 12,095 data points, 1960–2023
Last refreshed

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.