Bangladesh vs Kenya

Bangladesh vs Kenya: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 5.7 nights, or 1.02 times that in Bangladesh.

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nights a year · CMIP6

Bangladesh vs Kenya: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 5.7 nights, or 1.02 times that in Bangladesh.
BangladeshKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher since 1997, when it overtook Bangladesh.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 269.8 nights and Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshKenya
2014239.9245.6
2013239245.4
2012240.4244.7
2011240.5245
2010241243.8
2009238.6242.3
2008236.7240.3
2007236.9240.9
2006238.9241.5
2005238.2241.2
2004238.7241.8
2003236.5240.8
2002237.6240.7
2001237.2242
2000239.3239.5
1999236.6237.8
1998235.5239.2
1997235.5236.9
1996235.5234.2
1995234.8232.9
1994233.6231.9
1993232.2227.4
1992228224.8
1991233.4233.8
1990234.6236.4
1989235.7234.5
1988235.1233.1
1987236.4232.6
1986233.8233
1985233.6228.7
1984236230.2
1983230226.7
1982232.3230.6
1981235.9232.9
1980233.4231.3
1979234.5229.6
1978231.8228.7
1977232.3229.9
1976232227.8
1975231.3225.9
1974232.9230.5
1973232.1230.4
1972234.3228.7
1971233.1226
1970232.5226.3
1969231.1225.9
1968229.7222.9
1967231.6224
1966232.6225.2
1965232.5224.2
1964229.3221.8
1963233.8220.2
1962231.9227.2
1961236.2228.3
1960232.5228.8
1959234.7228.3
1958233.5229.1
1957232.5228
1956234.3225.5
1955230.2228.7
1954232.9227.4
1953234227.6
1952230.3228.5
1951233.5228.3
1950233.9226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshKenya
2015241.2227–252.4246.9232.3–256.1
2016237.9226.6–249.3244.9230.1–255
2017239.8227.5–249.4248.1233.1–257.7
2018242.6227–255248.7237–257.4
2019241.2228.5–251.9247.1234.8–256.7
2020242.6229.3–254.4248.6233.2–259.2
2021244.3230.4–254.4249.5236.3–258.1
2022243.8231.5–254.2251.5239.7–259.5
2023243.5229.2–254.5251.8239–260.8
2024245.7231.4–257.1254.2239.1–263
2025242.5229.4–253.9251.5238.1–261.8
2026243.9227.9–258.1252.2237.2–263.3
2027247.1232.8–259.3252.8238.4–263.8
2028244.2232.2–254.4254.9241.9–264.2
2029247.3232.7–261.5256243.4–264.6
2030243.9232.3–255.2253.6240.6–263.1
2031245.1232.9–262.3256244.7–264.4
2032247.6236.6–257.8257243.8–267.1
2033245.3231.7–256.6256241.8–265.9
2034246.3233.2–260.4256.2241.2–267.9
2035246.4234.1–260.9256.7243.3–266.7
2036246.2228.6–260.4256.2242.4–266.7
2037247.7235.4–260.2258.7245.9–268.4
2038249232.1–261260.3244.5–268.9
2039250234.4–262.7259244.4–268
2040248.9235.5–260.5258.3246.2–269.8
2041248.3235.6–261.9260.7244.8–271.2
2042252.5237.8–265.3260.3246.5–272.7
2043250.8234.7–263.4259246.6–270.5
2044251.8239.1–265.2261.2248.8–270.9
2045250.3239.1–265.6261.8248.7–272.9
2046252.7238.9–267.8264.8249.6–275.3
2047253.9239.4–267.1264.4249.8–275.3
2048254.4242.7–270.5264.2252.3–274.9
2049253.7241.5–266.4265.2252.8–275.6
2050254.6242.5–269.2263.9249.8–275.1
2051254.7242.7–270.1265.4252.1–275.1
2052252.3240.2–264.6266.3252.6–276.2
2053256.9244–272.4265.2251–275.4
2054255.9243.5–269.4265.2250.2–277.2
2055255.2243.8–273.6266.8251.6–277.6
2056259.1243.6–274.7266.2251.2–277.8
2057257.5243.8–273.7266.8253–278
2058257.4245.6–274.2266.7251.5–277.9
2059258.3246.4–271.8269.8254.7–280.5
2060259.2246.1–272.6271.1253.9–280.7
2061257.7244.8–270.1267.5253.9–281.7
2062260.4246.4–274.2268.1254–281.2
2063259.9241.3–272.7268.9255–280.1
2064260.2245.9–273.1270254.1–279.8
2065259.8244.1–274.7269.4255.8–282.3
2066260246.6–274.6270.6258.1–281
2067261.4246.4–272.3270.7256.1–283
2068260.1245.8–274.8270.2256–283
2069263.3249.8–276.6269.8256.1–283.3
2070259.6245.8–272.6270.1255.8–282.6
2071262.2248.7–283.4271.9257.9–284.4
2072259.8248.6–276273.5260.3–283.8
2073264.1246.6–277.2273.1259.9–285.4
2074262.6248.3–276.6271.9257.5–285.4
2075263.6248.5–277.7271.1256.5–284.7
2076261.6251–276.9274.1258.6–285.8
2077264251.1–279.8273.4259–286.6
2078265251.6–281.6273.1260–284.4
2079263.8248.5–277.2273.3258.7–286.6
2080266.8251.9–280.3275.5259.4–286.9
2081266.5250.7–279.9274.7259.8–285.6
2082264249.6–277.3274.8261.3–286.4
2083266.6251.8–282.8274259.6–289.3
2084264.8253.1–284.2276.8259–288.8
2085265.4251.2–283.4276.2261.5–289.1
2086268.2252.8–285.3275.1260–289.1
2087265.7251.3–280.8276.2260.3–288.5
2088267.2252.6–284.4276.8261.6–289.7
2089267.1252.5–286.7275.9260.3–288.8
2090267.9254.9–283.4275.3260.5–290.5
2091267.7254.5–282.2277.7260.4–290.9
2092268.8253.6–281.7276.2261.2–290.7
2093268.1251.7–287276.9262–290.1
2094267.4251.3–287.4277262.8–288.9
2095270.8253.7–284.9278.4262.3–290.4
2096267.9250.5–285.8277.6260.5–292
2097269.3254.9–287.3277261–290.2
2098268.8252.4–284.9277.6262.3–291.5
2099269253–282.3277.9260.8–292.4
2100269.8254.8–284.9277261.8–290.4

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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