South Korea vs Tanzania: Standardised Precipitation-Evapotranspiration Index
Standardised Precipitation-Evapotranspiration Index over time
- South Korea
- Tanzania
How they compare
South Korea currently reports 1.1 against 0.9803 in Tanzania, a difference of 0.1197.
That makes South Korea's figure about 1.1 times Tanzania's.
The two have swapped places 33 times across 64 shared years of data; in 1960 it was Tanzania ahead.
South Korea ranks 10th and Tanzania ranks 13th of 188 countries.
Across the 7 decades both report, South Korea averaged higher in 3 and Tanzania in 4.
Head to head by decade
| Decade | South Korea | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.1591 | 0.6073 | 0.4482 | Tanzania |
| 1970s | 0.0038 | 0.153 | 0.1492 | Tanzania |
| 1980s | 0.011 | 0.0465 | 0.0355 | Tanzania |
| 1990s | 0.1012 | -0.1999 | 0.301 | South Korea |
| 2000s | 0.255 | -0.5253 | 0.7804 | South Korea |
| 2010s | -0.1507 | -0.1555 | 0.0048 | South Korea |
| 2020s | 0.4352 | 0.7211 | 0.2859 | Tanzania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher standardised precipitation-evapotranspiration index, South Korea or Tanzania?
- South Korea, at 1.1 against 0.9803 in Tanzania as of 2023.
- What is the difference in standardised precipitation-evapotranspiration index between South Korea and Tanzania?
- 0.1197, with South Korea ahead.
- How many years of comparable data are there for South Korea and Tanzania?
- 64 years are reported by both, from 1960 to 2023.
- How do South Korea and Tanzania rank globally for standardised precipitation-evapotranspiration index?
- South Korea ranks 10th and Tanzania ranks 13th 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
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.