Myanmar (Burma) vs Türkiye

Myanmar (Burma) vs Türkiye: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 182.1 nights, or 10 times that in Türkiye.

nights a year · CMIP6

Myanmar (Burma) vs Türkiye: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 182.1 nights, or 10 times that in Türkiye.
Myanmar (Burma)TürkiyeCMIP6 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 Türkiye at 45.5 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)Türkiye
2014201.919.8
2013203.118.5
2012201.118.7
2011200.918.5
2010202.118.7
200919917.6
2008198.118.2
2007196.816.6
2006198.217.7
2005196.717.2
2004200.317.1
2003195.317.6
2002196.616.8
200119917.3
2000197.216.4
1999196.415.9
1998194.714.7
1997194.415
1996191.414.8
1995189.914.1
1994188.813.5
199318512.1
1992180.511.5
1991191.713.4
1990191.514.6
1989190.313.1
1988190.712.9
1987190.812.5
1986189.713.3
1985187.412.4
1984189.111.9
1983182.310.7
1982186.712.4
1981188.412.2
198018912.4
1979189.812
1978186.811.5
1977187.411.2
1976185.812
1975183.611.5
1974185.511.8
1973187.511.6
1972184.811.5
1971185.212.1
1970184.911.6
1969184.312
1968183.712
1967182.311.3
1966186.211.5
1965182.910.8
1964180.611.2
1963183.112
1962187.311.8
1961188.712
1960187.112.9
1959186.512.6
1958187.113
1957186.212.2
1956187.912.7
1955185.911.9
1954185.711.9
195318512.9
1952186.112.1
1951187.112.5
1950186.912.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Türkiye
2015205.2186.4–218.922.216.2–29.8
2016202.8186.2–218.821.114.7–29.6
2017203.4187.3–218.321.914.3–29.4
2018205.5190.9–219.922.916–29.9
2019205.2186.7–222.221.916.4–29.5
2020208.2188.5–223.523.617–31.6
2021208.9191.2–224.12317.1–30.9
2022209.9192.7–224.923.617.3–31.6
2023210.6195.4–226.324.717.8–33.4
2024210.4193.8–226.625.418.6–34.1
2025209.9190.3–225.22518.1–33
2026212.2194.3–229.225.618.3–34.1
2027212195.6–228.624.816.9–34.8
2028213195.7–227.225.218.7–32
2029215.3193.9–231.926.219.8–34.4
2030212.2194.9–22825.919.3–34.5
2031214.3197.2–230.826.419.7–35.1
2032215199.3–229.627.219.9–35.6
2033215.5198.5–230.128.721.4–36.9
2034214.9198.4–233.527.620.8–34.7
2035214.9199.2–236.828.721.7–37
2036216198.7–234.528.720.9–38.1
2037217.2199.6–233.529.721.3–38.6
2038220.7204.8–235.129.922–41.6
2039219.7202.4–234.330.923.6–40.3
2040219.2202.9–23530.923.2–40.9
2041220.7203.9–237.730.122.2–40.5
2042221.8206.1–237.229.920.1–40.7
2043219.5201.2–237.13123.6–40.4
2044221.4201.6–239.630.823.1–43.5
2045223.7204.8–241.532.424–43.1
2046223.2203.2–240.232.923.5–42.8
2047224.3204.8–241.132.324.1–44.9
2048226.4207.7–243.834.123–45.9
2049226.5205.6–242.831.622.1–43.2
2050227209.3–243.533.423.8–44.2
2051229.6212.4–246.434.125–43.1
2052227.2208.6–244.233.325.3–42.6
2053227.9208.7–247.735.326.6–44.2
2054227.9209.6–244.834.624–44.1
2055229.1209.8–247.535.425.9–47.7
2056231.8210.4–252.134.424.1–45.6
2057228.6208–24936.326–47.4
2058228.9208.8–24936.425.8–51.8
2059230.7212.1–247.537.124.8–48.1
2060234.7211.1–251.535.826.7–48.3
2061231.9213–247.738.826.3–49.7
2062233.6209.9–252.837.725.3–49.5
2063233215.4–250.538.426.6–51.7
2064233.2214.4–251.338.928.4–49.9
2065230.7210.4–250.739.628.6–49.4
2066233.5214.3–251.236.325–49.1
2067233211.5–253.338.327.7–50.7
2068233.1212.4–253.739.928–50.7
2069236.1214.6–253.439.729.2–52.2
2070235.9218.1–253.439.527.6–51.7
2071235.1213.5–259.639.829.1–51.7
2072234.6216.1–252.641.928.9–54.2
2073237.2219.3–257.240.927.2–54.6
2074236.4215.7–254.539.428–51.9
2075236.7214.4–255.939.828.4–53.9
2076237.7216–25741.529.1–53.7
2077237.5219–258.741.329–53.3
2078238.5217.3–257.842.231.3–52.9
2079238.5219.2–257.24430.8–56.6
2080240.5218.8–258.343.432.5–54.9
2081240219.7–260.942.131.7–54.6
2082239.4217.1–258.843.630.9–56
2083239.1220.5–259.24629.6–57.6
2084241.3218.9–260.645.131–56.8
2085241.7218.8–260.743.330.3–54.5
2086241.7217.4–262.743.830.2–56.4
2087241.4220.5–260.944.229.2–59
2088241.8222.3–261.544.932.7–58.1
2089240.7221.2–262.644.630.7–59.3
2090241.3224.4–260.946.132.8–59.2
2091242.6220.3–262.545.332.2–61.2
2092241.9221.6–263.345.631.1–59.2
2093242.1220.2–26047.631.5–61.8
2094242.5222.5–261.947.533.7–61.2
2095244.9224–264.446.232.3–60.2
2096243.9221.1–266.545.731.1–60.7
2097243.6219.6–264.248.432.1–61
2098243.6222.5–263.946.431.2–59.5
2099244.7221.8–263.545.430.8–58
2100244.5223.2–261.845.530.4–60.1

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

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