Croatia vs India: Standardised Precipitation-Evapotranspiration Index

Croatia
0.5371
in 2023
India
0.4919
in 2023
Croatia rank
29th
India rank
32nd

Standardised Precipitation-Evapotranspiration Index over time

  • Croatia
  • India
-2-1012196019912023

How they compare

Croatia currently reports 0.5371 against 0.4919 in India, a difference of 0.0452.

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

The two have swapped places 40 times across 64 shared years of data; in 1960 it was Croatia ahead.

Croatia ranks 29th and India ranks 32nd of 188 countries.

Across the 7 decades both report, Croatia averaged higher in 3 and India in 4.

Head to head by decade

Decade Croatia India Difference Ahead
1960s 0.39 -0.2106 0.6006 Croatia
1970s 0.0433 0.1524 0.1091 India
1980s -0.3639 -0.3878 0.0239 Croatia
1990s -0.2199 -0.1534 0.0665 India
2000s -0.6282 -0.6513 0.0231 Croatia
2010s -0.187 0.1655 0.3525 India
2020s -0.7884 0.9743 1.76 India

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Croatia or India?
Croatia, at 0.5371 against 0.4919 in India as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Croatia and India?
0.0452, with Croatia ahead.
How many years of comparable data are there for Croatia and India?
64 years are reported by both, from 1960 to 2023.
How do Croatia and India rank globally for standardised precipitation-evapotranspiration index?
Croatia ranks 29th and India ranks 32nd 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.