Libya vs Qatar: Standardised Precipitation-Evapotranspiration Index

Libya
-1.49
in 2023
Qatar
-1.52
in 2023
Libya rank
163rd
Qatar rank
165th

Standardised Precipitation-Evapotranspiration Index over time

  • Libya
  • Qatar
-2024196019912023

How they compare

Libya currently reports -1.49 against -1.52 in Qatar, a difference of 0.03.

The two have swapped places 24 times across 64 shared years of data; in 1960 it was Libya ahead.

Libya ranks 163rd and Qatar ranks 165th of 188 countries.

Across the 7 decades both report, Libya averaged higher in 3 and Qatar in 4.

Head to head by decade

Decade Libya Qatar Difference Ahead
1960s 0.0805 0.0977 0.0172 Qatar
1970s 0.6905 0.4886 0.2019 Libya
1980s 0.3094 0.2203 0.0891 Libya
1990s -0.567 0.1496 0.7166 Qatar
2000s -1.39 -0.9267 0.4646 Qatar
2010s -1.41 -0.9764 0.433 Qatar
2020s -1.48 -1.64 0.1583 Libya

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Libya or Qatar?
Libya, at -1.49 against -1.52 in Qatar as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Libya and Qatar?
0.03, with Libya ahead.
How many years of comparable data are there for Libya and Qatar?
64 years are reported by both, from 1960 to 2023.
How do Libya and Qatar rank globally for standardised precipitation-evapotranspiration index?
Libya ranks 163rd and Qatar ranks 165th 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.