Bangladesh vs Myanmar (Burma)

Bangladesh vs Myanmar (Burma): Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 38 nights, or 1.19 times that in Myanmar (Burma).

nights a year · CMIP6

Bangladesh vs Myanmar (Burma): Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 38 nights, or 1.19 times that in Myanmar (Burma).
BangladeshMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bangladesh has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 269.8 nights and Myanmar (Burma) at 244.5 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshMyanmar (Burma)
2014239.9201.9
2013239203.1
2012240.4201.1
2011240.5200.9
2010241202.1
2009238.6199
2008236.7198.1
2007236.9196.8
2006238.9198.2
2005238.2196.7
2004238.7200.3
2003236.5195.3
2002237.6196.6
2001237.2199
2000239.3197.2
1999236.6196.4
1998235.5194.7
1997235.5194.4
1996235.5191.4
1995234.8189.9
1994233.6188.8
1993232.2185
1992228180.5
1991233.4191.7
1990234.6191.5
1989235.7190.3
1988235.1190.7
1987236.4190.8
1986233.8189.7
1985233.6187.4
1984236189.1
1983230182.3
1982232.3186.7
1981235.9188.4
1980233.4189
1979234.5189.8
1978231.8186.8
1977232.3187.4
1976232185.8
1975231.3183.6
1974232.9185.5
1973232.1187.5
1972234.3184.8
1971233.1185.2
1970232.5184.9
1969231.1184.3
1968229.7183.7
1967231.6182.3
1966232.6186.2
1965232.5182.9
1964229.3180.6
1963233.8183.1
1962231.9187.3
1961236.2188.7
1960232.5187.1
1959234.7186.5
1958233.5187.1
1957232.5186.2
1956234.3187.9
1955230.2185.9
1954232.9185.7
1953234185
1952230.3186.1
1951233.5187.1
1950233.9186.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshMyanmar (Burma)
2015241.2227–252.4205.2186.4–218.9
2016237.9226.6–249.3202.8186.2–218.8
2017239.8227.5–249.4203.4187.3–218.3
2018242.6227–255205.5190.9–219.9
2019241.2228.5–251.9205.2186.7–222.2
2020242.6229.3–254.4208.2188.5–223.5
2021244.3230.4–254.4208.9191.2–224.1
2022243.8231.5–254.2209.9192.7–224.9
2023243.5229.2–254.5210.6195.4–226.3
2024245.7231.4–257.1210.4193.8–226.6
2025242.5229.4–253.9209.9190.3–225.2
2026243.9227.9–258.1212.2194.3–229.2
2027247.1232.8–259.3212195.6–228.6
2028244.2232.2–254.4213195.7–227.2
2029247.3232.7–261.5215.3193.9–231.9
2030243.9232.3–255.2212.2194.9–228
2031245.1232.9–262.3214.3197.2–230.8
2032247.6236.6–257.8215199.3–229.6
2033245.3231.7–256.6215.5198.5–230.1
2034246.3233.2–260.4214.9198.4–233.5
2035246.4234.1–260.9214.9199.2–236.8
2036246.2228.6–260.4216198.7–234.5
2037247.7235.4–260.2217.2199.6–233.5
2038249232.1–261220.7204.8–235.1
2039250234.4–262.7219.7202.4–234.3
2040248.9235.5–260.5219.2202.9–235
2041248.3235.6–261.9220.7203.9–237.7
2042252.5237.8–265.3221.8206.1–237.2
2043250.8234.7–263.4219.5201.2–237.1
2044251.8239.1–265.2221.4201.6–239.6
2045250.3239.1–265.6223.7204.8–241.5
2046252.7238.9–267.8223.2203.2–240.2
2047253.9239.4–267.1224.3204.8–241.1
2048254.4242.7–270.5226.4207.7–243.8
2049253.7241.5–266.4226.5205.6–242.8
2050254.6242.5–269.2227209.3–243.5
2051254.7242.7–270.1229.6212.4–246.4
2052252.3240.2–264.6227.2208.6–244.2
2053256.9244–272.4227.9208.7–247.7
2054255.9243.5–269.4227.9209.6–244.8
2055255.2243.8–273.6229.1209.8–247.5
2056259.1243.6–274.7231.8210.4–252.1
2057257.5243.8–273.7228.6208–249
2058257.4245.6–274.2228.9208.8–249
2059258.3246.4–271.8230.7212.1–247.5
2060259.2246.1–272.6234.7211.1–251.5
2061257.7244.8–270.1231.9213–247.7
2062260.4246.4–274.2233.6209.9–252.8
2063259.9241.3–272.7233215.4–250.5
2064260.2245.9–273.1233.2214.4–251.3
2065259.8244.1–274.7230.7210.4–250.7
2066260246.6–274.6233.5214.3–251.2
2067261.4246.4–272.3233211.5–253.3
2068260.1245.8–274.8233.1212.4–253.7
2069263.3249.8–276.6236.1214.6–253.4
2070259.6245.8–272.6235.9218.1–253.4
2071262.2248.7–283.4235.1213.5–259.6
2072259.8248.6–276234.6216.1–252.6
2073264.1246.6–277.2237.2219.3–257.2
2074262.6248.3–276.6236.4215.7–254.5
2075263.6248.5–277.7236.7214.4–255.9
2076261.6251–276.9237.7216–257
2077264251.1–279.8237.5219–258.7
2078265251.6–281.6238.5217.3–257.8
2079263.8248.5–277.2238.5219.2–257.2
2080266.8251.9–280.3240.5218.8–258.3
2081266.5250.7–279.9240219.7–260.9
2082264249.6–277.3239.4217.1–258.8
2083266.6251.8–282.8239.1220.5–259.2
2084264.8253.1–284.2241.3218.9–260.6
2085265.4251.2–283.4241.7218.8–260.7
2086268.2252.8–285.3241.7217.4–262.7
2087265.7251.3–280.8241.4220.5–260.9
2088267.2252.6–284.4241.8222.3–261.5
2089267.1252.5–286.7240.7221.2–262.6
2090267.9254.9–283.4241.3224.4–260.9
2091267.7254.5–282.2242.6220.3–262.5
2092268.8253.6–281.7241.9221.6–263.3
2093268.1251.7–287242.1220.2–260
2094267.4251.3–287.4242.5222.5–261.9
2095270.8253.7–284.9244.9224–264.4
2096267.9250.5–285.8243.9221.1–266.5
2097269.3254.9–287.3243.6219.6–264.2
2098268.8252.4–284.9243.6222.5–263.9
2099269253–282.3244.7221.8–263.5
2100269.8254.8–284.9244.5223.2–261.8

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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