Romania vs Tonga: Standardised Precipitation-Evapotranspiration Index

Romania
-0.9599
in 2023
Tonga
-0.9438
in 2023
Romania rank
138th
Tonga rank
136th

Standardised Precipitation-Evapotranspiration Index over time

  • Romania
  • Tonga
-202196019912023

How they compare

Tonga currently reports -0.9438 against -0.9599 in Romania, a difference of 0.0161.

The two have swapped places 27 times across 64 shared years of data; in 1960 it was Romania ahead.

Romania ranks 138th and Tonga ranks 136th of 188 countries.

Across the 7 decades both report, Romania averaged higher in 3 and Tonga in 4.

Head to head by decade

Decade Romania Tonga Difference Ahead
1960s 0.2517 0.0503 0.2014 Romania
1970s 0.852 1.05 0.1951 Tonga
1980s 0.1375 -0.8251 0.9626 Romania
1990s 0.1488 -0.5482 0.697 Romania
2000s -0.4331 0.1082 0.5413 Tonga
2010s -0.4701 -0.1259 0.3442 Tonga
2020s -0.9613 -0.2647 0.6966 Tonga

Averages of every year both report within each decade.

Frequently asked questions

Which has higher standardised precipitation-evapotranspiration index, Romania or Tonga?
Tonga, at -0.9438 against -0.9599 in Romania as of 2023.
What is the difference in standardised precipitation-evapotranspiration index between Romania and Tonga?
0.0161, with Tonga ahead.
How many years of comparable data are there for Romania and Tonga?
64 years are reported by both, from 1960 to 2023.
How do Romania and Tonga rank globally for standardised precipitation-evapotranspiration index?
Romania ranks 138th and Tonga ranks 136th 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.