Standardised Precipitation-Evapotranspiration Index in Myanmar
Myanmar: Standardised Precipitation-Evapotranspiration Index was 0.0246 in 2023. ◆ Volatile
Standardised Precipitation-Evapotranspiration Index in Myanmar, 1960–2023
Source: Global SPEI database (SPEIbase). https://spei.csic.es/database.html.
Analysis
The most recent figure for standardised precipitation-evapotranspiration index in Myanmar is 0.0246, measured in 2023.
The figure is up 111.2% on the previous year and down 52.0% over ten years.
Over the whole period, standardised precipitation-evapotranspiration index in Myanmar peaked at 2.21 in 1961 and was at its lowest, -2.57, in 2014.
Myanmar ranks 72nd 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 Myanmar, year by year
| Year | Value | Change |
|---|---|---|
| 1960 | -1.37 | — |
| 1961 | 2.21 | -261.2% |
| 1962 | -1.41 | -163.8% |
| 1963 | 0.6494 | -146.1% |
| 1964 | 0.1388 | -78.6% |
| 1965 | 1.05 | +656.0% |
| 1966 | -0.0681 | -106.5% |
| 1967 | -0.1065 | +56.4% |
| 1968 | 1.25 | -1274.4% |
| 1969 | -0.5216 | -141.7% |
| 1970 | 1.55 | -397.4% |
| 1971 | 1.19 | -23.3% |
| 1972 | -1.21 | -201.6% |
| 1973 | 1.73 | -242.9% |
| 1974 | 1.62 | -6.0% |
| 1975 | 0.1976 | -87.8% |
| 1976 | -0.0761 | -138.5% |
| 1977 | -0.4315 | +467.0% |
| 1978 | -0.2052 | -52.4% |
| 1979 | -1.76 | +759.0% |
| 1980 | 0.3513 | -119.9% |
| 1981 | 0.0514 | -85.4% |
| 1982 | -1.54 | -3096.5% |
| 1983 | 0.033 | -102.1% |
| 1984 | -1.54 | -4757.0% |
| 1985 | -0.6329 | -58.8% |
| 1986 | -2.17 | +243.3% |
| 1987 | -1.72 | -20.9% |
| 1988 | 0.4756 | -127.7% |
| 1989 | -1.42 | -398.4% |
| 1990 | -0.6577 | -53.7% |
| 1991 | -0.1932 | -70.6% |
| 1992 | -0.7815 | +304.5% |
| 1993 | -1.68 | +114.8% |
| 1994 | -0.1212 | -92.8% |
| 1995 | -0.0405 | -66.6% |
| 1996 | 0.7623 | -1982.2% |
| 1997 | -0.6384 | -183.7% |
| 1998 | -1.28 | +100.5% |
| 1999 | 0.5473 | -142.8% |
| 2000 | 0.0487 | -91.1% |
| 2001 | 0.1786 | +266.7% |
| 2002 | 0.9278 | +419.5% |
| 2003 | -1.31 | -241.4% |
| 2004 | -0.0186 | -98.6% |
| 2005 | -1.03 | +5424.2% |
| 2006 | 0.9154 | -189.1% |
| 2007 | 0.954 | +4.2% |
| 2008 | 0.0371 | -96.1% |
| 2009 | -1.16 | -3230.5% |
| 2010 | -0.1568 | -86.5% |
| 2011 | 1.75 | -1216.6% |
| 2012 | -1.59 | -191.0% |
| 2013 | 0.0513 | -103.2% |
| 2014 | -2.57 | -5104.9% |
| 2015 | -0.7673 | -70.1% |
| 2016 | 1.06 | -237.8% |
| 2017 | 1.47 | +38.8% |
| 2018 | -0.2139 | -114.6% |
| 2019 | -1.66 | +674.7% |
| 2020 | -0.742 | -55.2% |
| 2021 | -0.9887 | +33.2% |
| 2022 | -0.2189 | -77.9% |
| 2023 | 0.0246 | -111.2% |
Myanmar compared with similar countries
- Myanmar's 0.0246 is above the median for lower middle income countries, which is -0.0753. (46 countries reporting)
- Myanmar's 0.0246 is below the median for East Asia & Pacific, which is 0.0249, 99% of the median. (27 countries reporting)
Biggest year-on-year movements
Years where Standardised Precipitation-Evapotranspiration Index in Myanmar 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 | -5424.2% | -0.0186 | -1.03 |
| 2014 | -5104.9% | 0.0513 | -2.57 |
| 1984 | -4757.0% | 0.033 | -1.54 |
| 2009 | -3230.5% | 0.0371 | -1.16 |
| 1982 | -3096.5% | 0.0514 | -1.54 |
| 1996 | +1982.2% | -0.0405 | 0.7623 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.1822 | -1.41 | 2.21 | 10 |
| 1970s | 0.2605 | -1.76 | 1.73 | 10 |
| 1980s | -0.8108 | -2.17 | 0.4756 | 10 |
| 1990s | -0.4081 | -1.68 | 0.7623 | 10 |
| 2000s | -0.0458 | -1.31 | 0.954 | 10 |
| 2010s | -0.2628 | -2.57 | 1.75 | 10 |
| 2020s | -0.4813 | -0.9887 | 0.0246 | 4 |
Countries ranked near Myanmar
- 69 Mozambique 0.0591 compare
- 70 Philippines 0.0298 compare
- 71 North Korea 0.0249 compare
- 73 Solomon Islands 0.0007 compare
- 74 Vanuatu -0.0005 compare
- 75 Jordan -0.0156 compare
More environment data for Myanmar
- Historical exposure to drought — Land soil moisture anomaly -0.016 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 0.9805 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.243 °C (2025)
- Temperature change 1.43 °C (2025)
- Wood-based panels — Production, annual growth rate 0 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual -0.3823 % 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 -0.7174 % change on previous year (2024)
Frequently asked questions
- What is standardised precipitation-evapotranspiration index in Myanmar?
- Standardised precipitation-evapotranspiration index in Myanmar was 0.0246 in 2023, according to Global SPEI database (SPEIbase). https://spei.csic.es/database.html.
- What is the highest standardised precipitation-evapotranspiration index recorded in Myanmar?
- The highest recorded value was 2.21 in 1961.
- What is the lowest standardised precipitation-evapotranspiration index recorded in Myanmar?
- The lowest recorded value was -2.57 in 2014.
- How does Myanmar rank for standardised precipitation-evapotranspiration index?
- Myanmar ranks 72nd out of 189 countries with data for 2023.
- Is standardised precipitation-evapotranspiration index rising or falling in Myanmar?
- Over the last ten years it is down 52.0%. The long-run trend across the full record is volatile.
- Where does this Myanmar 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.