Georgia vs Palau: Standardised Precipitation-Evapotranspiration Index

Georgia
0.7379
in 2023
Palau
0.8183
in 2023
Georgia rank
20th
Palau rank
19th

Standardised Precipitation-Evapotranspiration Index over time

  • Georgia
  • Palau
-2-1012196019912023

How they compare

Palau currently reports 0.8183 against 0.7379 in Georgia, a difference of 0.0804.

That makes Palau's figure about 1.1 times Georgia's.

The two have swapped places 31 times across 64 shared years of data; in 1960 it was Georgia ahead.

Georgia ranks 20th and Palau ranks 19th of 188 countries.

Across the 7 decades both report, Georgia averaged higher in 6 and Palau in 1.

Head to head by decade

Decade Georgia Palau Difference Ahead
1960s 0.0174 -0.0325 0.0499 Georgia
1970s -0.0068 -0.1041 0.0973 Georgia
1980s 0.3294 0.2291 0.1003 Georgia
1990s -0.0488 -0.7621 0.7133 Georgia
2000s 0.5349 0.3063 0.2286 Georgia
2010s -0.2643 -0.5645 0.3003 Georgia
2020s -0.5389 1.3 1.84 Palau

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Georgia or Palau?
Palau, at 0.8183 against 0.7379 in Georgia as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Georgia and Palau?
0.0804, with Palau ahead.
How many years of comparable data are there for Georgia and Palau?
64 years are reported by both, from 1960 to 2023.
How do Georgia and Palau rank globally for standardised precipitation-evapotranspiration index?
Georgia ranks 20th and Palau ranks 19th 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.