Libya vs Malta: Standardised Precipitation-Evapotranspiration Index

Libya
-1.49
in 2023
Malta
-1.5
in 2023
Libya rank
163rd
Malta rank
164th

Standardised Precipitation-Evapotranspiration Index over time

  • Libya
  • Malta
-2024196019912023

How they compare

Libya currently reports -1.49 against -1.5 in Malta, a difference of 0.01.

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

Libya ranks 163rd and Malta ranks 164th of 188 countries.

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

Head to head by decade

Decade Libya Malta Difference Ahead
1960s 0.0805 -0.1507 0.2313 Libya
1970s 0.6905 0.5628 0.1277 Libya
1980s 0.3094 0.1062 0.2032 Libya
1990s -0.567 -0.4038 0.1632 Malta
2000s -1.39 -0.7361 0.6551 Malta
2010s -1.41 -0.815 0.5944 Malta
2020s -1.48 -1.29 0.1848 Malta

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Libya or Malta?
Libya, at -1.49 against -1.5 in Malta as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Libya and Malta?
0.01, with Libya ahead.
How many years of comparable data are there for Libya and Malta?
64 years are reported by both, from 1960 to 2023.
How do Libya and Malta rank globally for standardised precipitation-evapotranspiration index?
Libya ranks 163rd and Malta ranks 164th 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.