Hungary vs Malawi: Standardised Precipitation-Evapotranspiration Index

Hungary
0.3955
in 2023
Malawi
0.3607
in 2023
Hungary rank
40th
Malawi rank
42nd

Standardised Precipitation-Evapotranspiration Index over time

  • Hungary
  • Malawi
-2-1012196019912023

How they compare

Hungary currently reports 0.3955 against 0.3607 in Malawi, a difference of 0.0348.

That makes Hungary's figure about 1.1 times Malawi's.

The two have swapped places 34 times across 64 shared years of data; in 1960 it was Hungary ahead.

Hungary ranks 40th and Malawi ranks 42nd of 188 countries.

Across the 7 decades both report, Hungary averaged higher in 1 and Malawi in 6.

Head to head by decade

Decade Hungary Malawi Difference Ahead
1960s 0.1203 0.3383 0.2179 Malawi
1970s 0.2043 0.3279 0.1236 Malawi
1980s -0.1516 0.248 0.3996 Malawi
1990s -0.1029 -0.7888 0.686 Hungary
2000s -0.6276 -0.4436 0.184 Malawi
2010s -0.5556 -0.2425 0.3131 Malawi
2020s -0.9045 -0.2513 0.6532 Malawi

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Hungary or Malawi?
Hungary, at 0.3955 against 0.3607 in Malawi as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Hungary and Malawi?
0.0348, with Hungary ahead.
How many years of comparable data are there for Hungary and Malawi?
64 years are reported by both, from 1960 to 2023.
How do Hungary and Malawi rank globally for standardised precipitation-evapotranspiration index?
Hungary ranks 40th and Malawi ranks 42nd 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.