Bangladesh vs Vietnam

Bangladesh vs Vietnam: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 2.7 nights, or 1.01 times that in Bangladesh.

Watch it change on the map

nights a year · CMIP6

Bangladesh vs Vietnam: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 2.7 nights, or 1.01 times that in Bangladesh.
BangladeshVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam has been higher since 2011, when it overtook Bangladesh.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 269.8 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshVietnam
2014239.9242.6
2013239243.6
2012240.4242.4
2011240.5241.9
2010241240.9
2009238.6240
2008236.7238.7
2007236.9238
2006238.9239.1
2005238.2238.3
2004238.7241.8
2003236.5235.9
2002237.6236.3
2001237.2241.3
2000239.3237
1999236.6236
1998235.5236.8
1997235.5237.1
1996235.5231.4
1995234.8229.9
1994233.6231.2
1993232.2225.3
1992228221.9
1991233.4229.8
1990234.6233.1
1989235.7229.2
1988235.1231.7
1987236.4230.3
1986233.8230.9
1985233.6228
1984236230.2
1983230224.9
1982232.3227.5
1981235.9229.7
1980233.4228.1
1979234.5228.9
1978231.8227.5
1977232.3229
1976232225.8
1975231.3225.8
1974232.9225.7
1973232.1230.3
1972234.3225.6
1971233.1225.5
1970232.5226.1
1969231.1227
1968229.7227.1
1967231.6222.9
1966232.6226.8
1965232.5225.4
1964229.3222.6
1963233.8224.3
1962231.9227.8
1961236.2229.4
1960232.5228.5
1959234.7226.2
1958233.5230.9
1957232.5228.4
1956234.3228.7
1955230.2227.5
1954232.9226.3
1953234228.2
1952230.3228.5
1951233.5229.2
1950233.9228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshVietnam
2015241.2227–252.4245.8228.2–261.9
2016237.9226.6–249.3243.7226.1–259.4
2017239.8227.5–249.4247229.6–260.7
2018242.6227–255248.3228.8–263.3
2019241.2228.5–251.9248.1229.2–262.8
2020242.6229.3–254.4248.8229.6–262.9
2021244.3230.4–254.4251.1233.1–266.7
2022243.8231.5–254.2252.4234.3–266.8
2023243.5229.2–254.5253.4235.4–266.6
2024245.7231.4–257.1251.3236.7–264.6
2025242.5229.4–253.9252.4234.1–266.2
2026243.9227.9–258.1252.8232.9–268.5
2027247.1232.8–259.3253.2237–268.8
2028244.2232.2–254.4254.3237.7–272
2029247.3232.7–261.5258.1238.5–273.7
2030243.9232.3–255.2256.4240.9–270.1
2031245.1232.9–262.3255.9241.2–270.9
2032247.6236.6–257.8257.4239.1–269.9
2033245.3231.7–256.6258.3241.7–273.2
2034246.3233.2–260.4258.8240.7–275.8
2035246.4234.1–260.9258.6242.5–275.4
2036246.2228.6–260.4258.3239.1–273.8
2037247.7235.4–260.2258.7242.4–272.4
2038249232.1–261263.4247.6–277.3
2039250234.4–262.7260.2243.7–275.9
2040248.9235.5–260.5260.1242.8–274.8
2041248.3235.6–261.9263.1245.9–279
2042252.5237.8–265.3263.6246.5–279
2043250.8234.7–263.4261.4245.5–279.6
2044251.8239.1–265.2263.2245.2–277.6
2045250.3239.1–265.6265.5249.6–281.4
2046252.7238.9–267.8264.9246.8–278.1
2047253.9239.4–267.1266.9250.4–282.9
2048254.4242.7–270.5268250.5–283.8
2049253.7241.5–266.4267.8251.2–284.8
2050254.6242.5–269.2268251.2–283.5
2051254.7242.7–270.1270.9254.3–285.4
2052252.3240.2–264.6268.3253.3–282.8
2053256.9244–272.4268.5250.1–283.2
2054255.9243.5–269.4269.1250.8–283.6
2055255.2243.8–273.6270249.8–284.2
2056259.1243.6–274.7271.7254.8–290.1
2057257.5243.8–273.7270253–285.7
2058257.4245.6–274.2270.7252.9–286.5
2059258.3246.4–271.8273257.6–286.6
2060259.2246.1–272.6275.7255.6–290.6
2061257.7244.8–270.1273.5254.6–289.5
2062260.4246.4–274.2271.4253.1–290.2
2063259.9241.3–272.7272.9252.7–288.1
2064260.2245.9–273.1273.8254.4–288.1
2065259.8244.1–274.7272255.8–286.3
2066260246.6–274.6271.8254.4–287.3
2067261.4246.4–272.3270.8252.1–287.6
2068260.1245.8–274.8275.6256.9–292.4
2069263.3249.8–276.6276.4258.5–292
2070259.6245.8–272.6274.6257.8–292.8
2071262.2248.7–283.4276.2255.2–294.1
2072259.8248.6–276277256.8–291.4
2073264.1246.6–277.2278.5262.7–293.4
2074262.6248.3–276.6277.6259.2–295.8
2075263.6248.5–277.7276.4258.7–294.4
2076261.6251–276.9279.2258.5–296.6
2077264251.1–279.8280264.9–294.7
2078265251.6–281.6278.4258.6–295.5
2079263.8248.5–277.2279.3263.4–293.6
2080266.8251.9–280.3280261.4–296.5
2081266.5250.7–279.9280.4261.2–297.9
2082264249.6–277.3280.9258.9–296
2083266.6251.8–282.8278.4261.6–295
2084264.8253.1–284.2279257.4–293.8
2085265.4251.2–283.4281.3265–297.8
2086268.2252.8–285.3282.3260.2–297.5
2087265.7251.3–280.8281.9261.3–300.7
2088267.2252.6–284.4283.1265.7–301.5
2089267.1252.5–286.7280.8261.2–301.6
2090267.9254.9–283.4280.5264.5–297.6
2091267.7254.5–282.2283.3264.3–298.9
2092268.8253.6–281.7281.1261.5–299.4
2093268.1251.7–287280.5263.4–296.1
2094267.4251.3–287.4283264.5–300
2095270.8253.7–284.9285.5264.5–302.9
2096267.9250.5–285.8281.8264.8–299.8
2097269.3254.9–287.3281.5263.3–299
2098268.8252.4–284.9282.5263.9–301.5
2099269253–282.3282.7265.1–298
2100269.8254.8–284.9282.7261–298.2

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

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