Congo vs Croatia: Standardised Precipitation-Evapotranspiration Index

Congo
0.5075
in 2023
Croatia
0.5371
in 2023
Congo rank
31st
Croatia rank
29th

Standardised Precipitation-Evapotranspiration Index over time

  • Congo
  • Croatia
-2-1012196019912023

How they compare

Croatia currently reports 0.5371 against 0.5075 in Congo, a difference of 0.0296.

That makes Croatia's figure about 1.1 times Congo's.

The two have swapped places 30 times across 64 shared years of data; in 1960 it was Croatia ahead.

Congo ranks 31st and Croatia ranks 29th of 188 countries.

Across the 7 decades both report, Congo averaged higher in 6 and Croatia in 1.

Head to head by decade

Decade Congo Croatia Difference Ahead
1960s 0.7996 0.39 0.4096 Congo
1970s -0.2071 0.0433 0.2505 Croatia
1980s 0.1268 -0.3639 0.4907 Congo
1990s -0.075 -0.2199 0.1449 Congo
2000s -0.1015 -0.6282 0.5267 Congo
2010s 0.0496 -0.187 0.2367 Congo
2020s 0.3616 -0.7884 1.15 Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Congo or Croatia?
Croatia, at 0.5371 against 0.5075 in Congo as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Congo and Croatia?
0.0296, with Croatia ahead.
How many years of comparable data are there for Congo and Croatia?
64 years are reported by both, from 1960 to 2023.
How do Congo and Croatia rank globally for standardised precipitation-evapotranspiration index?
Congo ranks 31st and Croatia ranks 29th 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.