Mexico vs Myanmar (Burma)
Mexico vs Myanmar (Burma): Days above 35 °C
Days above 35 °C in 2014: 32.8 days in Mexico and 28.8 days in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 4 days, or 1.14 times that in Myanmar (Burma).
days a year · CMIP6
What the numbers say
- Mexico has been higher since 1996, when it overtook Myanmar (Burma).
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Mexico at 67.8 days and Myanmar (Burma) at 57 days in 2100.
Every year
days a year · CMIP6
| Year | Mexico | Myanmar (Burma) |
|---|---|---|
| 2014 | 32.8 | 28.8 |
| 2013 | 31.6 | 28 |
| 2012 | 30.4 | 27.5 |
| 2011 | 30.5 | 27.4 |
| 2010 | 31.8 | 27.9 |
| 2009 | 30.6 | 27.3 |
| 2008 | 30.7 | 27.2 |
| 2007 | 29 | 25.4 |
| 2006 | 28.6 | 26.8 |
| 2005 | 29.2 | 25 |
| 2004 | 29.4 | 28.3 |
| 2003 | 27.2 | 26.4 |
| 2002 | 27.8 | 27.4 |
| 2001 | 29.6 | 28.4 |
| 2000 | 27.9 | 26.6 |
| 1999 | 26.4 | 26.1 |
| 1998 | 27 | 26.4 |
| 1997 | 26.7 | 26.2 |
| 1996 | 25.7 | 24.7 |
| 1995 | 25.1 | 25.5 |
| 1994 | 24.1 | 24.3 |
| 1993 | 21.9 | 23.9 |
| 1992 | 20.9 | 20.5 |
| 1991 | 26.5 | 28.4 |
| 1990 | 26.5 | 26.3 |
| 1989 | 24 | 23.8 |
| 1988 | 23.9 | 23.9 |
| 1987 | 25.7 | 25.4 |
| 1986 | 24.1 | 26.6 |
| 1985 | 21.9 | 23.6 |
| 1984 | 22 | 25.8 |
| 1983 | 20.7 | 23.2 |
| 1982 | 22.1 | 24 |
| 1981 | 23.4 | 23.8 |
| 1980 | 22.5 | 23.5 |
| 1979 | 24 | 25.3 |
| 1978 | 22.5 | 23.4 |
| 1977 | 22.8 | 24.1 |
| 1976 | 22.2 | 25.6 |
| 1975 | 21.3 | 22.3 |
| 1974 | 22.6 | 24.1 |
| 1973 | 21.7 | 25.9 |
| 1972 | 22.5 | 23.1 |
| 1971 | 21.2 | 22.8 |
| 1970 | 22.3 | 24.2 |
| 1969 | 23.1 | 23.6 |
| 1968 | 21.7 | 23.4 |
| 1967 | 22.8 | 24.1 |
| 1966 | 21.9 | 23.1 |
| 1965 | 20.3 | 23.3 |
| 1964 | 20.6 | 21.7 |
| 1963 | 22.1 | 23.2 |
| 1962 | 22.7 | 24.4 |
| 1961 | 23.5 | 24.9 |
| 1960 | 23.2 | 26.2 |
| 1959 | 23.7 | 22.6 |
| 1958 | 22.9 | 25 |
| 1957 | 22.3 | 24.1 |
| 1956 | 22.8 | 25 |
| 1955 | 23.1 | 24.5 |
| 1954 | 22.1 | 25.3 |
| 1953 | 22.5 | 23.5 |
| 1952 | 21.4 | 26.1 |
| 1951 | 22.1 | 25 |
| 1950 | 22.3 | 23.8 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Mexico | Myanmar (Burma) |
|---|---|---|
| 2015 | 35.225.3–48.5 | 28.518.5–40 |
| 2016 | 33.924.5–44.6 | 27.717.3–38.7 |
| 2017 | 35.424.4–46.9 | 2818.9–38.5 |
| 2018 | 3625.2–47.9 | 29.818.6–41.2 |
| 2019 | 36.726–51.6 | 28.218.2–41.3 |
| 2020 | 37.325.8–50.6 | 28.616.8–41.4 |
| 2021 | 37.726.7–51.1 | 29.719.4–40.8 |
| 2022 | 37.225.5–52 | 31.521.7–42.7 |
| 2023 | 38.426.6–52.5 | 30.319.9–41.6 |
| 2024 | 42.228.1–55.6 | 31.720.1–43.7 |
| 2025 | 39.627.6–53.3 | 32.721.3–44.8 |
| 2026 | 39.126.4–51.8 | 30.420.3–44.5 |
| 2027 | 37.926.5–53.6 | 30.620.4–44.2 |
| 2028 | 40.127.8–55.7 | 31.119–43 |
| 2029 | 41.727.6–56.7 | 32.720.9–46.4 |
| 2030 | 39.325.9–53 | 32.619.3–45 |
| 2031 | 4127.8–56.3 | 32.721.3–45.2 |
| 2032 | 42.527.6–55.9 | 32.119.6–45.4 |
| 2033 | 42.530.2–57.1 | 33.322–43.8 |
| 2034 | 40.427.8–56.6 | 31.322–43.5 |
| 2035 | 40.528.2–56.9 | 32.620.4–49 |
| 2036 | 41.428.9–55.3 | 33.322.7–46.1 |
| 2037 | 44.230–59.6 | 34.322.6–49.1 |
| 2038 | 45.130.6–59.7 | 35.824.4–49.9 |
| 2039 | 4732.9–63.1 | 34.920.9–49 |
| 2040 | 46.933.9–61.8 | 3419.2–51.2 |
| 2041 | 44.530.9–60.8 | 3724.8–51.9 |
| 2042 | 48.633.8–64.3 | 36.223–49.9 |
| 2043 | 46.632.5–63.4 | 34.522.6–47.7 |
| 2044 | 47.234.1–63.7 | 38.222.1–51.2 |
| 2045 | 48.333.7–65.3 | 35.924.2–50.7 |
| 2046 | 5035.6–64.3 | 38.425.2–57.1 |
| 2047 | 51.537.2–67 | 38.824.1–56.1 |
| 2048 | 50.235.3–67.1 | 40.323.4–58.7 |
| 2049 | 52.336.1–69.5 | 40.625.2–58.1 |
| 2050 | 50.234.4–66.5 | 40.226.5–55.3 |
| 2051 | 50.436.9–66.9 | 41.726.7–56.8 |
| 2052 | 5235.5–68.6 | 40.326.3–61.2 |
| 2053 | 5336.9–70.2 | 41.323.6–61.5 |
| 2054 | 52.835.8–69.3 | 42.426.8–60.9 |
| 2055 | 54.437.3–71.1 | 41.428.5–61.9 |
| 2056 | 52.837.6–69.6 | 42.726.5–63 |
| 2057 | 55.937–72 | 43.226.3–63.2 |
| 2058 | 51.536.7–70.5 | 44.526.8–63.6 |
| 2059 | 55.340.6–72.6 | 43.729.1–65.3 |
| 2060 | 55.739.5–73.4 | 47.428.3–66 |
| 2061 | 57.642.1–73.9 | 46.729.5–64.5 |
| 2062 | 5535.6–77 | 47.126.7–68.6 |
| 2063 | 57.641.7–77.2 | 46.929–66.4 |
| 2064 | 58.242.8–75 | 47.527.9–66.1 |
| 2065 | 59.540.3–79 | 42.427.5–62.4 |
| 2066 | 57.940.6–76.3 | 46.228.9–68.8 |
| 2067 | 5841.9–76.7 | 4125.7–63.6 |
| 2068 | 60.343.2–79.1 | 46.928–70.4 |
| 2069 | 58.339.8–80.5 | 48.729.3–70.1 |
| 2070 | 60.239.8–80.8 | 43.927.5–64.3 |
| 2071 | 61.344.6–81.4 | 4926.2–71.9 |
| 2072 | 63.144–80.9 | 4730.6–71.4 |
| 2073 | 62.842.3–85.4 | 50.732.2–74 |
| 2074 | 6043.5–80.9 | 4829.2–74 |
| 2075 | 60.842.2–80.8 | 49.126.1–68.9 |
| 2076 | 61.242.4–83.6 | 47.826.5–72.8 |
| 2077 | 60.843.2–79.8 | 51.832.9–76.1 |
| 2078 | 64.744.4–86.4 | 50.632.4–75.6 |
| 2079 | 6646.1–87.4 | 50.730.5–77 |
| 2080 | 64.744–84.6 | 53.331.3–79.5 |
| 2081 | 64.845.7–84.4 | 5235.5–79.1 |
| 2082 | 63.643.2–82.2 | 52.532.5–76.8 |
| 2083 | 65.140.9–89.7 | 51.730.5–79.6 |
| 2084 | 65.446.4–86.3 | 52.329.5–76 |
| 2085 | 65.744.8–85.9 | 51.232.9–79.4 |
| 2086 | 64.644.8–85.1 | 52.632.5–80.1 |
| 2087 | 64.644.4–84.2 | 51.732.6–77.9 |
| 2088 | 6545.7–86.5 | 50.727.2–88.8 |
| 2089 | 66.644.2–87.9 | 52.731.4–86.3 |
| 2090 | 66.246–89 | 54.231.1–80.1 |
| 2091 | 6946.6–92.4 | 53.235.4–80.1 |
| 2092 | 67.746–86.5 | 54.135.4–85.5 |
| 2093 | 66.846.9–91.6 | 5235.6–85 |
| 2094 | 67.546.7–92.1 | 54.434.9–80.7 |
| 2095 | 70.149.8–93.9 | 58.535.1–84.3 |
| 2096 | 68.547.9–91.7 | 52.832.3–84.1 |
| 2097 | 67.346–89.7 | 53.230.4–82.8 |
| 2098 | 71.348.2–95.2 | 55.334.4–83.8 |
| 2099 | 68.349.1–91.5 | 55.233.1–84.7 |
| 2100 | 67.846.4–88.6 | 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
Mexico vs Myanmar (Burma)
Health
- Life expectancyMexico: 75.1 years in 2023Myanmar (Burma): 66.9 years in 2023
- Child mortalityMexico: 1.3 per 100 live births in 2024Myanmar (Burma): 3.7 per 100 live births in 2024
- Infant mortalityMexico: 10.4 per 1,000 live births in 2023Myanmar (Burma): 31.8 per 1,000 live births in 2023
- Safe drinking waterMexico: 43% in 2022Myanmar (Burma): 57.4% in 2022
- DepressionMexico: 2.79% in 2017Myanmar (Burma): 2.3% in 2017
- Suicide rateMexico: 5.9 per 100,000 people in 2017Myanmar (Burma): 5 per 100,000 people in 2017
People
- PopulationMexico: 130 million people in 2023Myanmar (Burma): 54.1 million people in 2023
- Population growthMexico: 0.88% a year in 2023Myanmar (Burma): 0.69% a year in 2023
- Fertility rateMexico: 1.91 births per woman in 2023Myanmar (Burma): 2.12 births per woman in 2023
- Urban populationMexico: 80% in 2025Myanmar (Burma): 30.6% in 2025
- Median ageMexico: 28.9 years in 2023Myanmar (Burma): 29.5 years in 2023
- People aged 65 and overMexico: 8% in 2023Myanmar (Burma): 7.1% in 2023
- Net migration rateMexico: -0.8 per 1,000 people in 2023Myanmar (Burma): -0.6 per 1,000 people in 2023
Economy
Education
Politics
Conflict
Military
- Military spendingMexico: 0.74% of GDP in 2025Myanmar (Burma): 6.61% of GDP in 2024
- Military spending in US dollarsMexico: $13.8B in 2025Myanmar (Burma): $4.65B in 2024
- Military spending per personMexico: $104 in 2025Myanmar (Burma): $92 in 2024
- Military share of state spendingMexico: 2.5% of government spending in 2025Myanmar (Burma): 32% of government spending in 2024
- Armed forces personnelMexico: 341,000 people in 2020Myanmar (Burma): 463,000 people in 2020
- National powerMexico: 1.14% of world capability in 2022Myanmar (Burma): 0.53% of world capability in 2022
- Armed forces, share of workersMexico: 0.64% of the labour force in 2020Myanmar (Burma): 1.94% of the labour force in 2020
- Arms importsMexico: 9 million TIV in 2025Myanmar (Burma): 70 million TIV in 2025