Bangladesh vs United States

Bangladesh vs United States: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 200.1 nights, or 6.03 times that in United States.

nights a year · CMIP6

Bangladesh vs United States: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 200.1 nights, or 6.03 times that in United States.
BangladeshUnited StatesCMIP6 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 United States at 63.9 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshUnited States
2014239.939.8
201323938.9
2012240.438.7
2011240.538.4
201024138.3
2009238.637.5
2008236.736.8
2007236.937.7
2006238.937.6
2005238.236.8
2004238.735.8
2003236.536
2002237.637.7
2001237.236.7
2000239.335.5
1999236.636.1
1998235.534.8
1997235.535.1
1996235.533.6
1995234.833.6
1994233.632.4
1993232.230.9
199222829.4
1991233.433.7
1990234.633.8
1989235.732.9
1988235.133
1987236.432.1
1986233.831.5
1985233.632
198423630.1
198323028.4
1982232.330.8
1981235.932.9
1980233.430.7
1979234.532.1
1978231.831.6
1977232.331.6
197623229.7
1975231.331.1
1974232.929.8
1973232.129.9
1972234.330.7
1971233.130
1970232.529.7
1969231.130.4
1968229.729.5
1967231.629.7
1966232.629.1
1965232.528.6
1964229.328.1
1963233.830
1962231.930.8
1961236.231.9
1960232.531.1
1959234.731
1958233.530.6
1957232.531
1956234.332
1955230.230.7
1954232.930.8
195323431.3
1952230.330.6
1951233.530.7
1950233.930.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshUnited States
2015241.2227–252.440.932.9–49.8
2016237.9226.6–249.341.933.3–52
2017239.8227.5–249.44234–50.6
2018242.6227–2554333.9–52.5
2019241.2228.5–251.943.234.3–52.6
2020242.6229.3–254.442.833.9–53.1
2021244.3230.4–254.442.833.8–52.7
2022243.8231.5–254.243.634.5–52.3
2023243.5229.2–254.544.535–55.5
2024245.7231.4–257.144.935.9–54.5
2025242.5229.4–253.94636.7–55.5
2026243.9227.9–258.144.735.6–54.8
2027247.1232.8–259.346.437.3–58.4
2028244.2232.2–254.445.836.5–56.6
2029247.3232.7–261.546.936.9–57.7
2030243.9232.3–255.246.936.6–58.8
2031245.1232.9–262.346.337–55.7
2032247.6236.6–257.846.236.9–56.5
2033245.3231.7–256.649.439.1–60.3
2034246.3233.2–260.447.738.7–58.6
2035246.4234.1–260.947.737.5–59.6
2036246.2228.6–260.449.439.2–61.8
2037247.7235.4–260.248.639.1–59.8
2038249232.1–26150.240.4–59.8
2039250234.4–262.750.240.5–60.9
2040248.9235.5–260.550.739.8–61.8
2041248.3235.6–261.949.840.1–61.2
2042252.5237.8–265.351.441–63.1
2043250.8234.7–263.451.341.4–62.2
2044251.8239.1–265.251.340.5–63.3
2045250.3239.1–265.652.441.5–64.7
2046252.7238.9–267.853.343.3–64.1
2047253.9239.4–267.153.844.1–66.5
2048254.4242.7–270.553.542.2–66
2049253.7241.5–266.453.743.2–65.9
2050254.6242.5–269.254.943–67.2
2051254.7242.7–270.154.743.5–67.5
2052252.3240.2–264.653.642–66.1
2053256.9244–272.454.342.4–66.8
2054255.9243.5–269.454.543.1–67
2055255.2243.8–273.655.142.4–68
2056259.1243.6–274.755.844.3–70
2057257.5243.8–273.756.244.6–68.1
2058257.4245.6–274.256.144.4–70.4
2059258.3246.4–271.855.544.5–67.9
2060259.2246.1–272.656.144.9–68.3
2061257.7244.8–270.15746–69
2062260.4246.4–274.257.443.9–70.3
2063259.9241.3–272.757.244.7–70.8
2064260.2245.9–273.15643–68.2
2065259.8244.1–274.756.544.2–71
2066260246.6–274.658.747.4–71.2
2067261.4246.4–272.358.647.2–71.4
2068260.1245.8–274.858.846.1–71.7
2069263.3249.8–276.659.646.8–73
2070259.6245.8–272.657.944.7–72.8
2071262.2248.7–283.45946.5–72
2072259.8248.6–27658.746.4–72.9
2073264.1246.6–277.259.345.8–72.1
2074262.6248.3–276.660.546.4–74.6
2075263.6248.5–277.759.846.6–75.3
2076261.6251–276.959.647.5–74.4
2077264251.1–279.860.147.9–74.3
2078265251.6–281.660.747–76
2079263.8248.5–277.261.148.3–76.2
2080266.8251.9–280.361.448.8–76.8
2081266.5250.7–279.96149.2–74.7
2082264249.6–277.361.748.1–75.9
2083266.6251.8–282.862.849.6–77.6
2084264.8253.1–284.262.248.1–76.8
2085265.4251.2–283.46247.9–76
2086268.2252.8–285.36449–78.8
2087265.7251.3–280.863.349.5–77.3
2088267.2252.6–284.463.148.2–78.4
2089267.1252.5–286.761.648.8–76.6
2090267.9254.9–283.464.950.6–79
2091267.7254.5–282.264.750–78.6
2092268.8253.6–281.76448.1–79
2093268.1251.7–28764.350.1–80.2
2094267.4251.3–287.463.248.2–78.9
2095270.8253.7–284.964.149.8–79.8
2096267.9250.5–285.86549.9–79.6
2097269.3254.9–287.363.347.3–81.2
2098268.8252.4–284.964.349.7–79.2
2099269253–282.364.350.3–79.5
2100269.8254.8–284.963.950.3–80.2

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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