Standardised Precipitation-Evapotranspiration Index in Equatorial Guinea
Equatorial Guinea: Standardised Precipitation-Evapotranspiration Index was -0.9329 in 2023. ◆ Volatile
Standardised Precipitation-Evapotranspiration Index in Equatorial Guinea, 1960–2023
Source: Global SPEI database (SPEIbase). https://spei.csic.es/database.html.
Analysis
Equatorial Guinea recorded -0.9329 for standardised precipitation-evapotranspiration index in 2023.
The figure is down 134.2% on the previous year and down 3.8% over ten years.
Over the whole period, standardised precipitation-evapotranspiration index in Equatorial Guinea peaked at 3.07 in 2007 and was at its lowest, -2.85, in 2015.
Equatorial Guinea ranks 135th of 189 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Standardised Precipitation-Evapotranspiration Index in Equatorial Guinea, year by year
| Year | Value | Change |
|---|---|---|
| 1960 | 1.78 | — |
| 1961 | 0.1601 | -91.0% |
| 1962 | 1.61 | +907.4% |
| 1963 | 0.5223 | -67.6% |
| 1964 | 0.6109 | +17.0% |
| 1965 | -0.1977 | -132.4% |
| 1966 | 0.4726 | -339.0% |
| 1967 | -0.3662 | -177.5% |
| 1968 | -0.0505 | -86.2% |
| 1969 | 0.337 | -767.3% |
| 1970 | 0.534 | +58.5% |
| 1971 | 0.2348 | -56.0% |
| 1972 | -0.723 | -407.9% |
| 1973 | -0.152 | -79.0% |
| 1974 | -0.6961 | +358.0% |
| 1975 | -0.6143 | -11.8% |
| 1976 | 0.2588 | -142.1% |
| 1977 | -0.1324 | -151.2% |
| 1978 | -1.46 | +1000.2% |
| 1979 | -0.4192 | -71.2% |
| 1980 | -0.7767 | +85.3% |
| 1981 | -1.32 | +69.4% |
| 1982 | -0.6033 | -54.2% |
| 1983 | -2.29 | +279.9% |
| 1984 | 0.2203 | -109.6% |
| 1985 | 0.81 | +267.7% |
| 1986 | -0.8951 | -210.5% |
| 1987 | -1.06 | +18.5% |
| 1988 | 1.21 | -214.2% |
| 1989 | -0.5792 | -147.8% |
| 1990 | 0.4033 | -169.6% |
| 1991 | -0.9934 | -346.3% |
| 1992 | -1.73 | +73.8% |
| 1993 | -1.02 | -41.1% |
| 1994 | -0.4053 | -60.2% |
| 1995 | -0.898 | +121.6% |
| 1996 | -0.1645 | -81.7% |
| 1997 | -0.6755 | +310.6% |
| 1998 | 0.8774 | -229.9% |
| 1999 | 0.7755 | -11.6% |
| 2000 | 0.1909 | -75.4% |
| 2001 | 0.7265 | +280.6% |
| 2002 | 1.35 | +85.6% |
| 2003 | 0.1016 | -92.5% |
| 2004 | -0.033 | -132.5% |
| 2005 | -2.17 | +6485.2% |
| 2006 | -1.19 | -45.3% |
| 2007 | 3.07 | -358.7% |
| 2008 | 0.2982 | -90.3% |
| 2009 | -0.7964 | -367.1% |
| 2010 | -1.7 | +113.3% |
| 2011 | -0.7671 | -54.8% |
| 2012 | 1.46 | -290.1% |
| 2013 | -0.8985 | -161.6% |
| 2014 | -0.8243 | -8.3% |
| 2015 | -2.85 | +245.6% |
| 2016 | -0.986 | -65.4% |
| 2017 | -0.8 | -18.9% |
| 2018 | -0.4874 | -39.1% |
| 2019 | 0.5722 | -217.4% |
| 2020 | -1.07 | -286.6% |
| 2021 | -0.3647 | -65.8% |
| 2022 | -0.3984 | +9.2% |
| 2023 | -0.9329 | +134.2% |
Equatorial Guinea compared with similar countries
- Equatorial Guinea's -0.9329 is below the median for upper middle income countries, which is -0.4275, 2.2× the median. (55 countries reporting)
- Equatorial Guinea's -0.9329 is below the median for Sub-Saharan Africa, which is -0.1805, 5.2× the median. (48 countries reporting)
Biggest year-on-year movements
Years where Standardised Precipitation-Evapotranspiration Index in Equatorial Guinea changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2005 | -6485.2% | -0.033 | -2.17 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.488 | -0.3662 | 1.78 | 10 |
| 1970s | -0.3166 | -1.46 | 0.534 | 10 |
| 1980s | -0.5281 | -2.29 | 1.21 | 10 |
| 1990s | -0.3825 | -1.73 | 0.8774 | 10 |
| 2000s | 0.1549 | -2.17 | 3.07 | 10 |
| 2010s | -0.728 | -2.85 | 1.46 | 10 |
| 2020s | -0.691 | -1.07 | -0.3647 | 4 |
Countries ranked near Equatorial Guinea
More environment data for Equatorial Guinea
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.21 °C (2025)
- Temperature change 1.27 °C (2025)
- Wood-based panels — Production, annual growth rate 0 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 2.06 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate 0.6536 % change on previous year (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), per unit of GDP 0 Mt CO2e per US$ of GDP (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), per capita 0 Mt CO2e per person (2024)
Frequently asked questions
- What is standardised precipitation-evapotranspiration index in Equatorial Guinea?
- Standardised precipitation-evapotranspiration index in Equatorial Guinea was -0.9329 in 2023, according to Global SPEI database (SPEIbase). https://spei.csic.es/database.html.
- What is the highest standardised precipitation-evapotranspiration index recorded in Equatorial Guinea?
- The highest recorded value was 3.07 in 2007.
- What is the lowest standardised precipitation-evapotranspiration index recorded in Equatorial Guinea?
- The lowest recorded value was -2.85 in 2015.
- How does Equatorial Guinea rank for standardised precipitation-evapotranspiration index?
- Equatorial Guinea ranks 135th out of 189 countries with data for 2023.
- Is standardised precipitation-evapotranspiration index rising or falling in Equatorial Guinea?
- Over the last ten years it is down 3.8%. The long-run trend across the full record is volatile.
- Where does this Equatorial Guinea data come from?
- The figures come from Global SPEI database (SPEIbase). https://spei.csic.es/database.html, published as part of Standardised Precipitation-Evapotranspiration Index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
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.