Myanmar (Burma) vs South Africa

Myanmar (Burma) vs South Africa: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 174.8 nights, or 7.45 times that in South Africa.

nights a year · CMIP6

Myanmar (Burma) vs South Africa: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 174.8 nights, or 7.45 times that in South Africa.
Myanmar (Burma)South AfricaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

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 Myanmar (Burma) at 244.5 nights and South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)South Africa
2014201.927.1
2013203.128.3
2012201.127.9
2011200.926.1
2010202.126
200919925.8
2008198.124.8
2007196.824.7
2006198.225.5
2005196.725.3
2004200.325.8
2003195.325.1
2002196.625
200119924.5
2000197.223.3
1999196.423
1998194.723.4
1997194.422.5
1996191.420.4
1995189.919.3
1994188.820
199318518.1
1992180.518.1
1991191.722.3
1990191.522.7
1989190.322
1988190.721.2
1987190.821.9
1986189.721
1985187.418.9
1984189.120
1983182.319
1982186.720.3
1981188.420
198018921.2
1979189.819.9
1978186.819.8
1977187.419.2
1976185.819.2
1975183.618.8
1974185.519.7
1973187.519.6
1972184.819
1971185.219.1
1970184.918.6
1969184.318.7
1968183.717.8
1967182.317.5
1966186.217.8
1965182.917.2
1964180.614.9
1963183.116.5
1962187.319.6
1961188.719.7
1960187.119.8
1959186.518.5
1958187.119.3
1957186.219.4
1956187.918
1955185.919.5
1954185.718.4
195318518.4
1952186.119.3
1951187.118.9
1950186.918.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)South Africa
2015205.2186.4–218.928.620–39.5
2016202.8186.2–218.826.817.8–37.9
2017203.4187.3–218.328.919.6–37.8
2018205.5190.9–219.929.620.6–40.6
2019205.2186.7–222.229.820.8–41.5
2020208.2188.5–223.529.518.9–39.1
2021208.9191.2–224.131.121.4–42.9
2022209.9192.7–224.93223.7–43.1
2023210.6195.4–226.331.922.9–41.8
2024210.4193.8–226.63324–45.6
2025209.9190.3–225.231.920.7–44.5
2026212.2194.3–229.234.521.9–46.9
2027212195.6–228.634.423–47.7
2028213195.7–227.233.522.9–46
2029215.3193.9–231.936.226.5–48.3
2030212.2194.9–22836.124.9–49
2031214.3197.2–230.836.324.5–50.3
2032215199.3–229.636.424.5–49.2
2033215.5198.5–230.136.924.5–48.3
2034214.9198.4–233.537.626.4–51.8
2035214.9199.2–236.837.625.2–49.5
2036216198.7–234.53826.5–50.5
2037217.2199.6–233.539.928.2–53.4
2038220.7204.8–235.141.528.4–54.2
2039219.7202.4–234.339.227–52.9
2040219.2202.9–23538.125.6–55.6
2041220.7203.9–237.740.227.4–54.3
2042221.8206.1–237.24229–56.4
2043219.5201.2–237.142.128.2–58.4
2044221.4201.6–239.641.929.5–57.8
2045223.7204.8–241.542.728.2–59
2046223.2203.2–240.244.130–59.5
2047224.3204.8–241.144.630.7–61.2
2048226.4207.7–243.84531.9–61.5
2049226.5205.6–242.845.632.3–61.4
2050227209.3–243.546.931–63.6
2051229.6212.4–246.447.532–65
2052227.2208.6–244.248.332.7–64.3
2053227.9208.7–247.745.733.7–62.1
2054227.9209.6–244.84833.3–64.3
2055229.1209.8–247.546.833–68.4
2056231.8210.4–252.147.933.2–64.8
2057228.6208–24950.232.6–68.9
2058228.9208.8–24947.934–66.4
2059230.7212.1–247.551.333.1–66.9
2060234.7211.1–251.551.936–69.9
2061231.9213–247.750.534.8–71.3
2062233.6209.9–252.850.532.7–71
2063233215.4–250.550.434.3–69.7
2064233.2214.4–251.35134.1–67.7
2065230.7210.4–250.750.433.6–70.2
2066233.5214.3–251.25335.7–72.4
2067233211.5–253.350.634.8–70.4
2068233.1212.4–253.754.837.8–72.5
2069236.1214.6–253.454.339.1–73.4
2070235.9218.1–253.454.337.2–73.3
2071235.1213.5–259.655.837.9–76.9
2072234.6216.1–252.65639.4–78.6
2073237.2219.3–257.260.443.4–80.3
2074236.4215.7–254.557.439.1–75.3
2075236.7214.4–255.956.137.7–76
2076237.7216–25758.538.4–75.3
2077237.5219–258.757.341–80.5
2078238.5217.3–257.85639.5–79
2079238.5219.2–257.257.639.3–78
2080240.5218.8–258.359.540.3–80.9
2081240219.7–260.95841.5–79.6
2082239.4217.1–258.858.839.7–77.7
2083239.1220.5–259.260.839.1–82.9
2084241.3218.9–260.662.540.4–82.9
2085241.7218.8–260.760.741.3–87.6
2086241.7217.4–262.760.542.1–83.3
2087241.4220.5–260.957.941–82.9
2088241.8222.3–261.564.243.4–85.3
2089240.7221.2–262.661.541.3–81.2
2090241.3224.4–260.961.641.5–86.8
2091242.6220.3–262.563.341.6–86.3
2092241.9221.6–263.363.144.9–84.8
2093242.1220.2–26062.443.2–86.1
2094242.5222.5–261.963.145.6–87.4
2095244.9224–264.465.342.6–91.7
2096243.9221.1–266.56142.7–90.1
2097243.6219.6–264.258.841.2–84.6
2098243.6222.5–263.965.143.8–89.8
2099244.7221.8–263.564.345–87
2100244.5223.2–261.858.742–88.2

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °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 South Africa

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