Chad vs Chile: Standardised Precipitation-Evapotranspiration Index

Chad
-0.2905
in 2023
Chile
-0.3184
in 2023
Chad rank
94th
Chile rank
95th

Standardised Precipitation-Evapotranspiration Index over time

  • Chad
  • Chile
-4-202196019912023

How they compare

Chad currently reports -0.2905 against -0.3184 in Chile, a difference of 0.0279.

The two have swapped places 20 times across 64 shared years of data; in 1960 it was Chad ahead.

Chad ranks 94th and Chile ranks 95th of 188 countries.

Across the 7 decades both report, Chad averaged higher in 3 and Chile in 4.

Head to head by decade

Decade Chad Chile Difference Ahead
1960s 1.07 -0.2325 1.3 Chad
1970s -0.1039 0.4218 0.5257 Chile
1980s -0.8694 -0.1337 0.7357 Chile
1990s -0.768 -0.2602 0.5078 Chile
2000s -0.9856 0.145 1.13 Chile
2010s -0.4355 -1.04 0.6006 Chad
2020s 0.1593 -1.41 1.57 Chad

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Chad or Chile?
Chad, at -0.2905 against -0.3184 in Chile as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Chad and Chile?
0.0279, with Chad ahead.
How many years of comparable data are there for Chad and Chile?
64 years are reported by both, from 1960 to 2023.
How do Chad and Chile rank globally for standardised precipitation-evapotranspiration index?
Chad ranks 94th and Chile ranks 95th 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.