Brazil vs Myanmar (Burma)
Brazil vs Myanmar (Burma): Days above 35 °C
Days above 35 °C in 2014: 18.8 days in Brazil and 28.8 days in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 10 days, or 1.53 times that in Brazil.
days a year · CMIP6
What the numbers say
- Myanmar (Burma) has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 80.8 days and Myanmar (Burma) at 57 days in 2100.
Every year
days a year · CMIP6
| Year | Brazil | Myanmar (Burma) |
|---|---|---|
| 2014 | 18.8 | 28.8 |
| 2013 | 21.8 | 28 |
| 2012 | 19.5 | 27.5 |
| 2011 | 19.6 | 27.4 |
| 2010 | 15.4 | 27.9 |
| 2009 | 16.6 | 27.3 |
| 2008 | 14.6 | 27.2 |
| 2007 | 11.6 | 25.4 |
| 2006 | 12 | 26.8 |
| 2005 | 14.2 | 25 |
| 2004 | 16.2 | 28.3 |
| 2003 | 15.5 | 26.4 |
| 2002 | 12.4 | 27.4 |
| 2001 | 16.1 | 28.4 |
| 2000 | 13.5 | 26.6 |
| 1999 | 11.4 | 26.1 |
| 1998 | 12.8 | 26.4 |
| 1997 | 11.7 | 26.2 |
| 1996 | 10 | 24.7 |
| 1995 | 8.8 | 25.5 |
| 1994 | 9.1 | 24.3 |
| 1993 | 7.8 | 23.9 |
| 1992 | 5.6 | 20.5 |
| 1991 | 8.5 | 28.4 |
| 1990 | 13.3 | 26.3 |
| 1989 | 10.2 | 23.8 |
| 1988 | 9.7 | 23.9 |
| 1987 | 9.4 | 25.4 |
| 1986 | 9.9 | 26.6 |
| 1985 | 7.5 | 23.6 |
| 1984 | 7 | 25.8 |
| 1983 | 6.4 | 23.2 |
| 1982 | 8.5 | 24 |
| 1981 | 9.4 | 23.8 |
| 1980 | 8.1 | 23.5 |
| 1979 | 9.1 | 25.3 |
| 1978 | 9 | 23.4 |
| 1977 | 8 | 24.1 |
| 1976 | 6.9 | 25.6 |
| 1975 | 6.8 | 22.3 |
| 1974 | 7.1 | 24.1 |
| 1973 | 7.3 | 25.9 |
| 1972 | 7 | 23.1 |
| 1971 | 5.8 | 22.8 |
| 1970 | 6.7 | 24.2 |
| 1969 | 6.9 | 23.6 |
| 1968 | 6.4 | 23.4 |
| 1967 | 6.4 | 24.1 |
| 1966 | 6.4 | 23.1 |
| 1965 | 6 | 23.3 |
| 1964 | 5.9 | 21.7 |
| 1963 | 4.9 | 23.2 |
| 1962 | 7.2 | 24.4 |
| 1961 | 7.5 | 24.9 |
| 1960 | 7.8 | 26.2 |
| 1959 | 7.5 | 22.6 |
| 1958 | 7.9 | 25 |
| 1957 | 8 | 24.1 |
| 1956 | 6.9 | 25 |
| 1955 | 8.6 | 24.5 |
| 1954 | 8.3 | 25.3 |
| 1953 | 6.8 | 23.5 |
| 1952 | 7.2 | 26.1 |
| 1951 | 7.2 | 25 |
| 1950 | 7.7 | 23.8 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Brazil | Myanmar (Burma) |
|---|---|---|
| 2015 | 18.56.9–38.8 | 28.518.5–40 |
| 2016 | 18.57–35.9 | 27.717.3–38.7 |
| 2017 | 19.47.7–41.4 | 2818.9–38.5 |
| 2018 | 19.87.6–41.4 | 29.818.6–41.2 |
| 2019 | 218.9–47.1 | 28.218.2–41.3 |
| 2020 | 21.98.7–43.2 | 28.616.8–41.4 |
| 2021 | 24.69.7–51.8 | 29.719.4–40.8 |
| 2022 | 23.410–51.2 | 31.521.7–42.7 |
| 2023 | 25.710.5–55.5 | 30.319.9–41.6 |
| 2024 | 27.713.3–51.1 | 31.720.1–43.7 |
| 2025 | 27.210.5–57.6 | 32.721.3–44.8 |
| 2026 | 24.48.1–53.1 | 30.420.3–44.5 |
| 2027 | 28.28.9–55.7 | 30.620.4–44.2 |
| 2028 | 29.411.9–61.9 | 31.119–43 |
| 2029 | 33.916.4–66.7 | 32.720.9–46.4 |
| 2030 | 28.211.6–56.6 | 32.619.3–45 |
| 2031 | 35.315.2–70.7 | 32.721.3–45.2 |
| 2032 | 35.616.6–67.3 | 32.119.6–45.4 |
| 2033 | 3113.5–63.2 | 33.322–43.8 |
| 2034 | 31.214.1–75.1 | 31.322–43.5 |
| 2035 | 30.814.4–68 | 32.620.4–49 |
| 2036 | 32.413.7–58.7 | 33.322.7–46.1 |
| 2037 | 39.419.6–66.5 | 34.322.6–49.1 |
| 2038 | 38.215.4–71.3 | 35.824.4–49.9 |
| 2039 | 37.214.6–75.5 | 34.920.9–49 |
| 2040 | 38.518.6–76.2 | 3419.2–51.2 |
| 2041 | 41.819.9–76.6 | 3724.8–51.9 |
| 2042 | 39.917–86.1 | 36.223–49.9 |
| 2043 | 37.614.9–81.2 | 34.522.6–47.7 |
| 2044 | 38.416.1–84.4 | 38.222.1–51.2 |
| 2045 | 40.420.4–74.9 | 35.924.2–50.7 |
| 2046 | 5023.7–86.7 | 38.425.2–57.1 |
| 2047 | 43.522.9–86.4 | 38.824.1–56.1 |
| 2048 | 50.424.6–96.2 | 40.323.4–58.7 |
| 2049 | 49.823.9–90.2 | 40.625.2–58.1 |
| 2050 | 46.922–92.7 | 40.226.5–55.3 |
| 2051 | 47.324.9–95.6 | 41.726.7–56.8 |
| 2052 | 54.728.7–97.5 | 40.326.3–61.2 |
| 2053 | 47.122.6–92.3 | 41.323.6–61.5 |
| 2054 | 45.221.6–92.2 | 42.426.8–60.9 |
| 2055 | 52.228.6–103.8 | 41.428.5–61.9 |
| 2056 | 53.223.6–110.8 | 42.726.5–63 |
| 2057 | 50.620.2–94.7 | 43.226.3–63.2 |
| 2058 | 55.325–117.3 | 44.526.8–63.6 |
| 2059 | 61.229–118.5 | 43.729.1–65.3 |
| 2060 | 6531.1–111.3 | 47.428.3–66 |
| 2061 | 54.123.5–115.4 | 46.729.5–64.5 |
| 2062 | 54.924.7–127.7 | 47.126.7–68.6 |
| 2063 | 59.428.6–112.9 | 46.929–66.4 |
| 2064 | 54.828.7–106.1 | 47.527.9–66.1 |
| 2065 | 62.330.3–119.5 | 42.427.5–62.4 |
| 2066 | 62.330.6–113.5 | 46.228.9–68.8 |
| 2067 | 60.926.9–113.1 | 4125.7–63.6 |
| 2068 | 66.730.1–119.7 | 46.928–70.4 |
| 2069 | 60.631.5–113.8 | 48.729.3–70.1 |
| 2070 | 59.932.1–124.8 | 43.927.5–64.3 |
| 2071 | 64.433.8–111 | 4926.2–71.9 |
| 2072 | 6830.5–128.1 | 4730.6–71.4 |
| 2073 | 72.736–127.6 | 50.732.2–74 |
| 2074 | 68.832.6–125.7 | 4829.2–74 |
| 2075 | 67.832.7–116.4 | 49.126.1–68.9 |
| 2076 | 67.933.7–124.9 | 47.826.5–72.8 |
| 2077 | 72.535.5–128.9 | 51.832.9–76.1 |
| 2078 | 7336.7–132 | 50.632.4–75.6 |
| 2079 | 69.233.6–125.5 | 50.730.5–77 |
| 2080 | 67.834.9–122.2 | 53.331.3–79.5 |
| 2081 | 70.936.9–140.4 | 5235.5–79.1 |
| 2082 | 70.640.7–125.8 | 52.532.5–76.8 |
| 2083 | 75.735.7–152.5 | 51.730.5–79.6 |
| 2084 | 7734.1–140.3 | 52.329.5–76 |
| 2085 | 83.937.2–147.8 | 51.232.9–79.4 |
| 2086 | 73.334.6–141 | 52.632.5–80.1 |
| 2087 | 78.439.2–144.2 | 51.732.6–77.9 |
| 2088 | 79.335.1–152 | 50.727.2–88.8 |
| 2089 | 75.239–146.4 | 52.731.4–86.3 |
| 2090 | 78.341.8–148.6 | 54.231.1–80.1 |
| 2091 | 8135.2–147.9 | 53.235.4–80.1 |
| 2092 | 7936.6–148 | 54.135.4–85.5 |
| 2093 | 7739.3–148.7 | 5235.6–85 |
| 2094 | 7939.6–144.5 | 54.434.9–80.7 |
| 2095 | 88.636.5–155.9 | 58.535.1–84.3 |
| 2096 | 75.736.1–152.8 | 52.832.3–84.1 |
| 2097 | 7936.7–135.6 | 53.230.4–82.8 |
| 2098 | 82.737.9–166.4 | 55.334.4–83.8 |
| 2099 | 77.941–144.7 | 55.233.1–84.7 |
| 2100 | 80.840.2–141.3 | 5734.6–84 |
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
Brazil vs Myanmar (Burma)
Health
- Life expectancyBrazil: 75.9 years in 2023Myanmar (Burma): 66.9 years in 2023
- Child mortalityBrazil: 1.4 per 100 live births in 2024Myanmar (Burma): 3.7 per 100 live births in 2024
- Infant mortalityBrazil: 12.1 per 1,000 live births in 2023Myanmar (Burma): 31.8 per 1,000 live births in 2023
- Safe drinking waterBrazil: 87.3% in 2022Myanmar (Burma): 57.4% in 2022
- DepressionBrazil: 3.3% in 2017Myanmar (Burma): 2.3% in 2017
- Suicide rateBrazil: 6.1 per 100,000 people in 2017Myanmar (Burma): 5 per 100,000 people in 2017
People
- PopulationBrazil: 211 million people in 2023Myanmar (Burma): 54.1 million people in 2023
- Population growthBrazil: 0.41% a year in 2023Myanmar (Burma): 0.69% a year in 2023
- Fertility rateBrazil: 1.62 births per woman in 2023Myanmar (Burma): 2.12 births per woman in 2023
- Urban populationBrazil: 88.2% in 2025Myanmar (Burma): 30.6% in 2025
- Median ageBrazil: 33.9 years in 2023Myanmar (Burma): 29.5 years in 2023
- People aged 65 and overBrazil: 10.6% in 2023Myanmar (Burma): 7.1% in 2023
- Net migration rateBrazil: -1.1 per 1,000 people in 2023Myanmar (Burma): -0.6 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingBrazil: 1.05% of GDP in 2025Myanmar (Burma): 6.61% of GDP in 2024
- Military spending in US dollarsBrazil: $23.6B in 2025Myanmar (Burma): $4.65B in 2024
- Military spending per personBrazil: $113 in 2025Myanmar (Burma): $92 in 2024
- Military share of state spendingBrazil: 2.2% of government spending in 2025Myanmar (Burma): 32% of government spending in 2024
- Armed forces personnelBrazil: 762,000 people in 2020Myanmar (Burma): 463,000 people in 2020
- National powerBrazil: 2.01% of world capability in 2022Myanmar (Burma): 0.53% of world capability in 2022
- Armed forces, share of workersBrazil: 0.76% of the labour force in 2020Myanmar (Burma): 1.94% of the labour force in 2020
- Arms importsBrazil: 462 million TIV in 2025Myanmar (Burma): 70 million TIV in 2025