Latvia vs Zimbabwe: Standardised Precipitation-Evapotranspiration Index

Latvia
-0.2384
in 2023
Zimbabwe
-0.2103
in 2023
Latvia rank
90th
Zimbabwe rank
88th

Standardised Precipitation-Evapotranspiration Index over time

  • Latvia
  • Zimbabwe
-2-1012196019912023

How they compare

Zimbabwe currently reports -0.2103 against -0.2384 in Latvia, a difference of 0.0281.

The two have swapped places 23 times across 64 shared years of data; in 1960 it was Latvia ahead.

Latvia ranks 90th and Zimbabwe ranks 88th of 188 countries.

Across the 7 decades both report, Latvia averaged higher in 3 and Zimbabwe in 4.

Head to head by decade

Decade Latvia Zimbabwe Difference Ahead
1960s -0.2996 -0.1409 0.1587 Zimbabwe
1970s -0.1431 0.4726 0.6157 Zimbabwe
1980s 0.5845 -0.3156 0.9001 Latvia
1990s 0.0061 -0.576 0.5821 Latvia
2000s -0.2621 -0.2038 0.0583 Zimbabwe
2010s -0.0155 -0.492 0.4766 Latvia
2020s -0.5181 -0.2147 0.3035 Zimbabwe

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Latvia or Zimbabwe?
Zimbabwe, at -0.2103 against -0.2384 in Latvia as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Latvia and Zimbabwe?
0.0281, with Zimbabwe ahead.
How many years of comparable data are there for Latvia and Zimbabwe?
64 years are reported by both, from 1960 to 2023.
How do Latvia and Zimbabwe rank globally for standardised precipitation-evapotranspiration index?
Latvia ranks 90th and Zimbabwe ranks 88th 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.