Bangladesh vs Ethiopia

Bangladesh vs Ethiopia: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 95 nights, or 1.66 times that in Ethiopia.

Watch it change on the map

nights a year · CMIP6

Bangladesh vs Ethiopia: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 144.9 nights in Ethiopia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 95 nights, or 1.66 times that in Ethiopia.
BangladeshEthiopiaCMIP6 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 Ethiopia at 201.7 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshEthiopia
2014239.9144.9
2013239145.1
2012240.4144.4
2011240.5145.6
2010241142.4
2009238.6140.3
2008236.7137.1
2007236.9138.2
2006238.9138.7
2005238.2138.1
2004238.7139.1
2003236.5138.8
2002237.6137.4
2001237.2139.2
2000239.3135.5
1999236.6132.6
1998235.5132.9
1997235.5132.7
1996235.5129.7
1995234.8127.8
1994233.6126.3
1993232.2122.5
1992228119.7
1991233.4129.5
1990234.6132.7
1989235.7129.4
1988235.1128.2
1987236.4126.4
1986233.8128.1
1985233.6122.8
1984236124.8
1983230120.6
1982232.3126.3
1981235.9127
1980233.4124.9
1979234.5125.1
1978231.8124.7
1977232.3125.8
1976232122
1975231.3119.5
1974232.9124
1973232.1125.2
1972234.3122.3
1971233.1120.6
1970232.5121.3
1969231.1120.4
1968229.7119.1
1967231.6118.1
1966232.6119.5
1965232.5117.4
1964229.3116.6
1963233.8115.7
1962231.9121.6
1961236.2124.2
1960232.5124.5
1959234.7121.6
1958233.5124.1
1957232.5123.2
1956234.3120.9
1955230.2122.8
1954232.9121.6
1953234121.2
1952230.3122.8
1951233.5123
1950233.9122
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshEthiopia
2015241.2227–252.4146.6129.4–163.9
2016237.9226.6–249.3144.1127–160.6
2017239.8227.5–249.4148.3129.2–164.9
2018242.6227–255149.6131.6–166
2019241.2228.5–251.9146.2129.3–166
2020242.6229.3–254.4149.4129.6–168.5
2021244.3230.4–254.4150.7132.1–170
2022243.8231.5–254.2154135.7–171.2
2023243.5229.2–254.5153.5135.4–171.4
2024245.7231.4–257.1156.5135.9–175.6
2025242.5229.4–253.9154132.6–175.5
2026243.9227.9–258.1153132–175
2027247.1232.8–259.3154.2134.4–175.3
2028244.2232.2–254.4157.5138.3–177.4
2029247.3232.7–261.5159.2141.8–176.8
2030243.9232.3–255.2156.8136.3–175.7
2031245.1232.9–262.3161.4142.4–179.1
2032247.6236.6–257.8161.7143.1–182.5
2033245.3231.7–256.6161.8140–180.9
2034246.3233.2–260.4158.8141.5–184.3
2035246.4234.1–260.9162141.7–184.2
2036246.2228.6–260.4160.5143.6–179.4
2037247.7235.4–260.2165145.8–184.5
2038249232.1–261167.1146.5–186.7
2039250234.4–262.7164.5143.9–186
2040248.9235.5–260.5165.9146.2–190.1
2041248.3235.6–261.9167.9146.3–189.3
2042252.5237.8–265.3167.7146–194.3
2043250.8234.7–263.4167.3145.5–190.8
2044251.8239.1–265.2168.2148.2–189.9
2045250.3239.1–265.6170.7149.1–192.3
2046252.7238.9–267.8175.3150–198.6
2047253.9239.4–267.1176.9151.8–197.5
2048254.4242.7–270.5177.5155.4–199.1
2049253.7241.5–266.4177.5157.9–198.4
2050254.6242.5–269.2176.4153.8–199
2051254.7242.7–270.1176.6155.3–199.7
2052252.3240.2–264.6177155.6–200.7
2053256.9244–272.4176.7154.2–201.6
2054255.9243.5–269.4177.6156.9–201.1
2055255.2243.8–273.6180.6155.2–202.3
2056259.1243.6–274.7177.3155–205.4
2057257.5243.8–273.7180.3159.3–205.5
2058257.4245.6–274.2182.6153.7–209.4
2059258.3246.4–271.8185.7160.1–210.6
2060259.2246.1–272.6185.9160.3–210.4
2061257.7244.8–270.1183.3158.3–211.7
2062260.4246.4–274.2183.8155.4–213
2063259.9241.3–272.7184.5159.1–208.6
2064260.2245.9–273.1186.7160.6–207.2
2065259.8244.1–274.7183.7162.4–212.9
2066260246.6–274.6187.1165.4–210.1
2067261.4246.4–272.3187.1160.7–214.5
2068260.1245.8–274.8187.6160.4–215.8
2069263.3249.8–276.6187.8165.4–215.8
2070259.6245.8–272.6187.9161.6–216.9
2071262.2248.7–283.4192.7165.2–219.5
2072259.8248.6–276193.6167.4–214.5
2073264.1246.6–277.2193.3169.7–218.7
2074262.6248.3–276.6188.5163.9–219
2075263.6248.5–277.7191.9162.7–218.6
2076261.6251–276.9195166.9–218.9
2077264251.1–279.8194.1169.3–223.3
2078265251.6–281.6192.1168.4–218.6
2079263.8248.5–277.2193.4166.6–220.9
2080266.8251.9–280.3196.1169.2–222.4
2081266.5250.7–279.9194.6171–221.4
2082264249.6–277.3195.4168.8–219.9
2083266.6251.8–282.8194.6168.2–228.7
2084264.8253.1–284.2198.5170.7–224.2
2085265.4251.2–283.4198.4173.1–226.3
2086268.2252.8–285.3198.6172.3–228.4
2087265.7251.3–280.8199170.6–226.6
2088267.2252.6–284.4199170.7–227.7
2089267.1252.5–286.7198.6171.2–226.2
2090267.9254.9–283.4198.6173.4–227.7
2091267.7254.5–282.2203.6171.9–232.1
2092268.8253.6–281.7200.7172.5–229.7
2093268.1251.7–287201.4175.2–228.6
2094267.4251.3–287.4200.2174–228.9
2095270.8253.7–284.9203.9175.7–231.9
2096267.9250.5–285.8199.1170.5–230.8
2097269.3254.9–287.3198.4171.8–229.3
2098268.8252.4–284.9198.7172.1–231.5
2099269253–282.3201.8172.8–233.3
2100269.8254.8–284.9201.7175.1–231.8

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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