Cuba vs Latvia: Standardised Precipitation-Evapotranspiration Index

Cuba
-0.2291
in 2023
Latvia
-0.2384
in 2023
Cuba rank
89th
Latvia rank
90th

Standardised Precipitation-Evapotranspiration Index over time

  • Cuba
  • Latvia
-2-1012196019912023

How they compare

Cuba currently reports -0.2291 against -0.2384 in Latvia, a difference of 0.0093.

The two have swapped places 34 times across 64 shared years of data; in 1960 it was Cuba ahead.

Cuba ranks 89th and Latvia ranks 90th of 188 countries.

Across the 7 decades both report, Cuba averaged higher in 5 and Latvia in 2.

Head to head by decade

Decade Cuba Latvia Difference Ahead
1960s 0.0473 -0.2996 0.3469 Cuba
1970s -0.1972 -0.1431 0.0541 Latvia
1980s -0.0436 0.5845 0.6281 Latvia
1990s 0.0664 0.0061 0.0603 Cuba
2000s 0.3803 -0.2621 0.6424 Cuba
2010s 0.0569 -0.0155 0.0724 Cuba
2020s -0.2838 -0.5181 0.2344 Cuba

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Cuba or Latvia?
Cuba, at -0.2291 against -0.2384 in Latvia as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Cuba and Latvia?
0.0093, with Cuba ahead.
How many years of comparable data are there for Cuba and Latvia?
64 years are reported by both, from 1960 to 2023.
How do Cuba and Latvia rank globally for standardised precipitation-evapotranspiration index?
Cuba ranks 89th and Latvia ranks 90th 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.