Myanmar (Burma) vs Thailand
Myanmar (Burma) vs Thailand: Days above 35 °C
Days above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 11.1 days, or 1.39 times that in Myanmar (Burma).
days a year · CMIP6
What the numbers say
- Thailand has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Myanmar (Burma) at 57 days and Thailand at 95.9 days in 2100.
Every year
days a year · CMIP6
| Year | Myanmar (Burma) | Thailand |
|---|---|---|
| 2014 | 28.8 | 39.9 |
| 2013 | 28 | 42.1 |
| 2012 | 27.5 | 40.1 |
| 2011 | 27.4 | 39.9 |
| 2010 | 27.9 | 39.8 |
| 2009 | 27.3 | 37.9 |
| 2008 | 27.2 | 36 |
| 2007 | 25.4 | 33 |
| 2006 | 26.8 | 39.2 |
| 2005 | 25 | 34.9 |
| 2004 | 28.3 | 39.4 |
| 2003 | 26.4 | 34.1 |
| 2002 | 27.4 | 36.3 |
| 2001 | 28.4 | 37.8 |
| 2000 | 26.6 | 32.5 |
| 1999 | 26.1 | 29.7 |
| 1998 | 26.4 | 33.3 |
| 1997 | 26.2 | 33.7 |
| 1996 | 24.7 | 31.3 |
| 1995 | 25.5 | 33.5 |
| 1994 | 24.3 | 33.5 |
| 1993 | 23.9 | 30.4 |
| 1992 | 20.5 | 25.5 |
| 1991 | 28.4 | 35.4 |
| 1990 | 26.3 | 37.7 |
| 1989 | 23.8 | 29.3 |
| 1988 | 23.9 | 30.6 |
| 1987 | 25.4 | 31.2 |
| 1986 | 26.6 | 34.3 |
| 1985 | 23.6 | 29.3 |
| 1984 | 25.8 | 32.4 |
| 1983 | 23.2 | 30.4 |
| 1982 | 24 | 33.1 |
| 1981 | 23.8 | 29.5 |
| 1980 | 23.5 | 28.8 |
| 1979 | 25.3 | 32.4 |
| 1978 | 23.4 | 26.1 |
| 1977 | 24.1 | 31.5 |
| 1976 | 25.6 | 29.7 |
| 1975 | 22.3 | 25 |
| 1974 | 24.1 | 31.5 |
| 1973 | 25.9 | 34.5 |
| 1972 | 23.1 | 30.3 |
| 1971 | 22.8 | 27.1 |
| 1970 | 24.2 | 28.7 |
| 1969 | 23.6 | 29.9 |
| 1968 | 23.4 | 29.4 |
| 1967 | 24.1 | 28.3 |
| 1966 | 23.1 | 25.4 |
| 1965 | 23.3 | 27.1 |
| 1964 | 21.7 | 26.6 |
| 1963 | 23.2 | 26 |
| 1962 | 24.4 | 28.7 |
| 1961 | 24.9 | 31.1 |
| 1960 | 26.2 | 32.9 |
| 1959 | 22.6 | 24.4 |
| 1958 | 25 | 33 |
| 1957 | 24.1 | 27.8 |
| 1956 | 25 | 27.1 |
| 1955 | 24.5 | 31.2 |
| 1954 | 25.3 | 30.3 |
| 1953 | 23.5 | 28.2 |
| 1952 | 26.1 | 34.1 |
| 1951 | 25 | 33 |
| 1950 | 23.8 | 28.5 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Myanmar (Burma) | Thailand |
|---|---|---|
| 2015 | 28.518.5–40 | 41.123.5–66.3 |
| 2016 | 27.717.3–38.7 | 38.915.7–61.2 |
| 2017 | 2818.9–38.5 | 41.420.8–64.9 |
| 2018 | 29.818.6–41.2 | 43.521.7–65.5 |
| 2019 | 28.218.2–41.3 | 40.916.5–61.9 |
| 2020 | 28.616.8–41.4 | 45.617.3–66.6 |
| 2021 | 29.719.4–40.8 | 43.720.7–70.7 |
| 2022 | 31.521.7–42.7 | 47.826.4–73.3 |
| 2023 | 30.319.9–41.6 | 41.822.3–67.2 |
| 2024 | 31.720.1–43.7 | 44.726.9–70.9 |
| 2025 | 32.721.3–44.8 | 50.227.3–77 |
| 2026 | 30.420.3–44.5 | 44.425.2–80.5 |
| 2027 | 30.620.4–44.2 | 47.126.2–75.6 |
| 2028 | 31.119–43 | 51.123.1–73.3 |
| 2029 | 32.720.9–46.4 | 56.733.9–84.7 |
| 2030 | 32.619.3–45 | 50.726.1–78.9 |
| 2031 | 32.721.3–45.2 | 50.531.5–81.2 |
| 2032 | 32.119.6–45.4 | 49.823.6–85.7 |
| 2033 | 33.322–43.8 | 53.432–73.7 |
| 2034 | 31.322–43.5 | 51.531.6–83.4 |
| 2035 | 32.620.4–49 | 52.228.9–89.2 |
| 2036 | 33.322.7–46.1 | 53.335.2–77.4 |
| 2037 | 34.322.6–49.1 | 57.632–82.5 |
| 2038 | 35.824.4–49.9 | 62.238.5–91.5 |
| 2039 | 34.920.9–49 | 55.127.8–78.8 |
| 2040 | 3419.2–51.2 | 53.728.4–91.3 |
| 2041 | 3724.8–51.9 | 6337.5–86.6 |
| 2042 | 36.223–49.9 | 54.826.4–94.7 |
| 2043 | 34.522.6–47.7 | 57.129.8–85.3 |
| 2044 | 38.222.1–51.2 | 57.336.7–95.7 |
| 2045 | 35.924.2–50.7 | 54.934.2–90.2 |
| 2046 | 38.425.2–57.1 | 62.736.4–102.1 |
| 2047 | 38.824.1–56.1 | 63.635–98.5 |
| 2048 | 40.323.4–58.7 | 72.237.4–110.4 |
| 2049 | 40.625.2–58.1 | 66.240.8–98.3 |
| 2050 | 40.226.5–55.3 | 64.536.9–95.3 |
| 2051 | 41.726.7–56.8 | 66.135.5–97.1 |
| 2052 | 40.326.3–61.2 | 74.339.3–108.1 |
| 2053 | 41.323.6–61.5 | 64.635–106.7 |
| 2054 | 42.426.8–60.9 | 69.144.2–112.1 |
| 2055 | 41.428.5–61.9 | 71.445.3–107.6 |
| 2056 | 42.726.5–63 | 70.536.5–117.7 |
| 2057 | 43.226.3–63.2 | 7240–104.6 |
| 2058 | 44.526.8–63.6 | 73.140.6–107.3 |
| 2059 | 43.729.1–65.3 | 77.251.2–121.4 |
| 2060 | 47.428.3–66 | 80.946–117 |
| 2061 | 46.729.5–64.5 | 77.335.3–117.8 |
| 2062 | 47.126.7–68.6 | 73.535.5–125.8 |
| 2063 | 46.929–66.4 | 83.640.3–122.6 |
| 2064 | 47.527.9–66.1 | 74.746.9–111.8 |
| 2065 | 42.427.5–62.4 | 69.939.5–124.8 |
| 2066 | 46.228.9–68.8 | 80.250.7–122.7 |
| 2067 | 4125.7–63.6 | 69.437.9–116 |
| 2068 | 46.928–70.4 | 76.445.8–131.7 |
| 2069 | 48.729.3–70.1 | 77.747.4–128.7 |
| 2070 | 43.927.5–64.3 | 73.839.2–129.5 |
| 2071 | 4926.2–71.9 | 80.642.2–131.6 |
| 2072 | 4730.6–71.4 | 81.347.5–135.3 |
| 2073 | 50.732.2–74 | 88.854.2–133.4 |
| 2074 | 4829.2–74 | 8444.3–128.1 |
| 2075 | 49.126.1–68.9 | 82.838.3–123.9 |
| 2076 | 47.826.5–72.8 | 82.937.1–132.9 |
| 2077 | 51.832.9–76.1 | 8849.4–132.4 |
| 2078 | 50.632.4–75.6 | 91.252–137 |
| 2079 | 50.730.5–77 | 85.749.5–144.4 |
| 2080 | 53.331.3–79.5 | 88.552.7–143.6 |
| 2081 | 5235.5–79.1 | 87.150.9–135.1 |
| 2082 | 52.532.5–76.8 | 89.953.5–133.6 |
| 2083 | 51.730.5–79.6 | 87.145.8–149.7 |
| 2084 | 52.329.5–76 | 8447.7–131 |
| 2085 | 51.232.9–79.4 | 93.853.8–141.8 |
| 2086 | 52.632.5–80.1 | 87.745.8–139.2 |
| 2087 | 51.732.6–77.9 | 86.447.4–139.2 |
| 2088 | 50.727.2–88.8 | 90.441.7–153.2 |
| 2089 | 52.731.4–86.3 | 90.149–151.2 |
| 2090 | 54.231.1–80.1 | 87.853.3–154.1 |
| 2091 | 53.235.4–80.1 | 8648.2–148.6 |
| 2092 | 54.135.4–85.5 | 92.650.2–149.9 |
| 2093 | 5235.6–85 | 89.854.6–159 |
| 2094 | 54.434.9–80.7 | 95.549.6–143.6 |
| 2095 | 58.535.1–84.3 | 103.458.2–156.3 |
| 2096 | 52.832.3–84.1 | 89.951.3–155.4 |
| 2097 | 53.230.4–82.8 | 94.550.2–142.6 |
| 2098 | 55.334.4–83.8 | 89.851.6–149.6 |
| 2099 | 55.233.1–84.7 | 88.244.7–147.4 |
| 2100 | 5734.6–84 | 95.951.1–153.3 |
Each country on its own
Good to know
- Days in a year whose highest temperature passes 35 °C, averaged over the country.
- Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
- The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
- Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.
How the layers work, where their data comes from and what they can’t tell you: Countries through time
Myanmar (Burma) vs Thailand
Health
- Life expectancyMyanmar (Burma): 66.9 years in 2023Thailand: 76.4 years in 2023
- Child mortalityMyanmar (Burma): 3.7 per 100 live births in 2024Thailand: 0.9 per 100 live births in 2024
- Infant mortalityMyanmar (Burma): 31.8 per 1,000 live births in 2023Thailand: 6.2 per 1,000 live births in 2023
- DepressionMyanmar (Burma): 2.3% in 2017Thailand: 3.09% in 2017
- Suicide rateMyanmar (Burma): 5 per 100,000 people in 2017Thailand: 10.4 per 100,000 people in 2017
People
- PopulationMyanmar (Burma): 54.1 million people in 2023Thailand: 71.7 million people in 2023
- Population growthMyanmar (Burma): 0.69% a year in 2023Thailand: -0.04% a year in 2023
- Fertility rateMyanmar (Burma): 2.12 births per woman in 2023Thailand: 1.21 births per woman in 2023
- Urban populationMyanmar (Burma): 30.6% in 2025Thailand: 62.8% in 2025
- Median ageMyanmar (Burma): 29.5 years in 2023Thailand: 39.7 years in 2023
- People aged 65 and overMyanmar (Burma): 7.1% in 2023Thailand: 14.7% in 2023
- Net migration rateMyanmar (Burma): -0.6 per 1,000 people in 2023Thailand: 0.3 per 1,000 people in 2023
Economy
- GDP per personMyanmar (Burma): $1,128 in 2025Thailand: $6,783 in 2025
- GDP growthMyanmar (Burma): -12% a year in 2021Thailand: 2.4% a year in 2025
- InflationMyanmar (Burma): 27.6% a year in 2023Thailand: -0.1% a year in 2025
- Government debtMyanmar (Burma): 37.6% of GDP in 2019Thailand: 62.9% of GDP in 2024
Education
Politics
Conflict
Military
- Military spendingMyanmar (Burma): 6.61% of GDP in 2024Thailand: 1.04% of GDP in 2025
- Military spending in US dollarsMyanmar (Burma): $4.65B in 2024Thailand: $5.57B in 2025
- Military spending per personMyanmar (Burma): $92 in 2024Thailand: $84 in 2025
- Military share of state spendingMyanmar (Burma): 32% of government spending in 2024Thailand: 4.4% of government spending in 2025
- Armed forces personnelMyanmar (Burma): 463,000 people in 2020Thailand: 455,000 people in 2020
- National powerMyanmar (Burma): 0.53% of world capability in 2022Thailand: 0.79% of world capability in 2022
- Armed forces, share of workersMyanmar (Burma): 1.94% of the labour force in 2020Thailand: 1.13% of the labour force in 2020
- Arms importsMyanmar (Burma): 70 million TIV in 2025Thailand: 33 million TIV in 2025