Standardised Precipitation-Evapotranspiration Index in Brunei
Brunei: Standardised Precipitation-Evapotranspiration Index was -0.5012 in 2023. ◆ Volatile
Standardised Precipitation-Evapotranspiration Index in Brunei, 1960–2023
Source: Global SPEI database (SPEIbase). https://spei.csic.es/database.html.
Analysis
In 2023, standardised precipitation-evapotranspiration index in Brunei stood at -0.5012.
That represents a change of down 126.8% on the previous year and down 184.5% over ten years.
Over the whole period, standardised precipitation-evapotranspiration index in Brunei peaked at 1.96 in 2008 and was at its lowest, -1.84, in 1992.
Brunei ranks 105th 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 Brunei, year by year
| Year | Value | Change |
|---|---|---|
| 1960 | -0.2312 | — |
| 1961 | -1.26 | +443.5% |
| 1962 | 0.6511 | -151.8% |
| 1963 | 0.0211 | -96.8% |
| 1964 | -1.12 | -5418.0% |
| 1965 | 0.3688 | -132.9% |
| 1966 | -0.0752 | -120.4% |
| 1967 | -0.3191 | +324.3% |
| 1968 | -1.16 | +262.7% |
| 1969 | -1.24 | +7.3% |
| 1970 | -0.565 | -54.5% |
| 1971 | 0.1689 | -129.9% |
| 1972 | -1.09 | -747.3% |
| 1973 | 0.4499 | -141.2% |
| 1974 | 0.6051 | +34.5% |
| 1975 | -0.0424 | -107.0% |
| 1976 | -0.3585 | +745.5% |
| 1977 | 0.4358 | -221.6% |
| 1978 | -1.7 | -489.5% |
| 1979 | 0.3613 | -121.3% |
| 1980 | 0.4515 | +25.0% |
| 1981 | 1.14 | +153.5% |
| 1982 | -0.8621 | -175.3% |
| 1983 | -0.3142 | -63.6% |
| 1984 | 1.78 | -667.7% |
| 1985 | 0.1816 | -89.8% |
| 1986 | 0.5248 | +189.0% |
| 1987 | -1.19 | -327.2% |
| 1988 | 1.58 | -232.3% |
| 1989 | -0.5357 | -134.0% |
| 1990 | -1.51 | +181.9% |
| 1991 | -1.32 | -12.3% |
| 1992 | -1.84 | +38.7% |
| 1993 | -1.43 | -22.3% |
| 1994 | -0.9743 | -31.8% |
| 1995 | 0.2665 | -127.4% |
| 1996 | 0.9005 | +237.9% |
| 1997 | -1.35 | -250.4% |
| 1998 | -1.22 | -9.6% |
| 1999 | 1.66 | -235.6% |
| 2000 | 1.13 | -32.0% |
| 2001 | 0.4658 | -58.8% |
| 2002 | -1.48 | -418.2% |
| 2003 | -0.4716 | -68.2% |
| 2004 | -1.37 | +189.7% |
| 2005 | -0.0177 | -98.7% |
| 2006 | 0.8439 | -4867.8% |
| 2007 | 1.02 | +21.4% |
| 2008 | 1.96 | +91.4% |
| 2009 | 1.12 | -42.6% |
| 2010 | 1.55 | +37.6% |
| 2011 | 1.51 | -2.6% |
| 2012 | 0.2511 | -83.3% |
| 2013 | 0.5929 | +136.1% |
| 2014 | 0.001 | -99.8% |
| 2015 | -1.12 | -112170.0% |
| 2016 | -1.76 | +57.4% |
| 2017 | 1.3 | -173.5% |
| 2018 | 0.7998 | -38.4% |
| 2019 | -0.9146 | -214.4% |
| 2020 | 0.8384 | -191.7% |
| 2021 | 0.8633 | +3.0% |
| 2022 | 1.87 | +116.6% |
| 2023 | -0.5012 | -126.8% |
Brunei compared with similar countries
- Brunei's -0.5012 is below the median for high income countries, which is -0.3666, 1.4× the median. (63 countries reporting)
- Brunei's -0.5012 is below the median for East Asia & Pacific, which is 0.0249. (27 countries reporting)
Biggest year-on-year movements
Years where Standardised Precipitation-Evapotranspiration Index in Brunei 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 |
|---|---|---|---|
| 2015 | -112170.0% | 0.001 | -1.12 |
| 1964 | -5418.0% | 0.0211 | -1.12 |
| 2006 | +4867.8% | -0.0177 | 0.8439 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.4362 | -1.26 | 0.6511 | 10 |
| 1970s | -0.1736 | -1.7 | 0.6051 | 10 |
| 1980s | 0.2759 | -1.19 | 1.78 | 10 |
| 1990s | -0.6827 | -1.84 | 1.66 | 10 |
| 2000s | 0.3211 | -1.48 | 1.96 | 10 |
| 2010s | 0.2197 | -1.76 | 1.55 | 10 |
| 2020s | 0.7677 | -0.5012 | 1.87 | 4 |
Countries ranked near Brunei
More environment data for Brunei
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual -1.62 % 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 -1.85 % 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)
- Methane (CH4) emissions from Building (Energy) (Mt CO2e), annual 0 % change on previous year (2024)
- Methane (CH4) emissions from Building (Energy) (Mt CO2e), per unit of 0 Mt CO2e per US$ of GDP (2024)
- Methane (CH4) emissions from Building (Energy) (Mt CO2e), per capita 0 Mt CO2e per person (2024)
- Methane (CH4) emissions from Fugitive Emissions (Energy) (Mt CO2e) 7.85 % change on previous year (2024)
Frequently asked questions
- What is standardised precipitation-evapotranspiration index in Brunei?
- Standardised precipitation-evapotranspiration index in Brunei was -0.5012 in 2023, according to Global SPEI database (SPEIbase). https://spei.csic.es/database.html.
- What is the highest standardised precipitation-evapotranspiration index recorded in Brunei?
- The highest recorded value was 1.96 in 2008.
- What is the lowest standardised precipitation-evapotranspiration index recorded in Brunei?
- The lowest recorded value was -1.84 in 1992.
- How does Brunei rank for standardised precipitation-evapotranspiration index?
- Brunei ranks 105th out of 189 countries with data for 2023.
- Is standardised precipitation-evapotranspiration index rising or falling in Brunei?
- Over the last ten years it is down 184.5%. The long-run trend across the full record is volatile.
- Where does this Brunei 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.