Bangladesh vs Saudi Arabia

Bangladesh vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 58.4 nights, or 1.32 times that in Saudi Arabia.

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nights a year · CMIP6

Bangladesh vs Saudi Arabia: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 58.4 nights, or 1.32 times that in Saudi Arabia.
BangladeshSaudi ArabiaCMIP6 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 Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshSaudi Arabia
2014239.9181.5
2013239180.4
2012240.4182.8
2011240.5182.7
2010241179.2
2009238.6177.1
2008236.7180.3
2007236.9178.9
2006238.9177.5
2005238.2177.9
2004238.7177.6
2003236.5177.4
2002237.6175.6
2001237.2178.1
2000239.3176.4
1999236.6173.2
1998235.5173.4
1997235.5173.8
1996235.5172
1995234.8169.2
1994233.6170.4
1993232.2164.6
1992228165.9
1991233.4169.2
1990234.6172.7
1989235.7168.9
1988235.1166.8
1987236.4167.3
1986233.8169.4
1985233.6166
1984236165
1983230163.5
1982232.3164.7
1981235.9168.9
1980233.4166.8
1979234.5165.3
1978231.8164.8
1977232.3165.6
1976232165.9
1975231.3161.2
1974232.9162.9
1973232.1163.7
1972234.3163.7
1971233.1160.4
1970232.5162.5
1969231.1161.3
1968229.7162.7
1967231.6159.5
1966232.6159.5
1965232.5159.5
1964229.3159.9
1963233.8160.2
1962231.9163.2
1961236.2163.7
1960232.5165.7
1959234.7164.4
1958233.5164.1
1957232.5165.5
1956234.3163.6
1955230.2162
1954232.9161.2
1953234162.5
1952230.3163.4
1951233.5161.2
1950233.9161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshSaudi Arabia
2015241.2227–252.4184.9169.4–198.7
2016237.9226.6–249.3183167.7–195.7
2017239.8227.5–249.4182.6168.1–196.7
2018242.6227–255186.8173.1–199.4
2019241.2228.5–251.9184.1168.8–199.1
2020242.6229.3–254.4185.3171.8–198.9
2021244.3230.4–254.4188.6173.6–202.8
2022243.8231.5–254.2187.6170.7–202
2023243.5229.2–254.5188.6173–203.8
2024245.7231.4–257.1187.1172.9–203.9
2025242.5229.4–253.9191.5176–206.1
2026243.9227.9–258.1191.8177.1–205.5
2027247.1232.8–259.3191.2176.6–206.8
2028244.2232.2–254.4191.9175.5–205.1
2029247.3232.7–261.5192.2176.6–205.7
2030243.9232.3–255.2193.3178.4–206.3
2031245.1232.9–262.3194.7179.1–207.6
2032247.6236.6–257.8192.2175.2–206
2033245.3231.7–256.6192.6177.5–206.9
2034246.3233.2–260.4196.7181.6–213
2035246.4234.1–260.9196.5179.9–211.6
2036246.2228.6–260.4194.1180–209.7
2037247.7235.4–260.2197183.7–209.9
2038249232.1–261198.4182.3–213.3
2039250234.4–262.7198184.4–213.6
2040248.9235.5–260.5199.2182.1–212.7
2041248.3235.6–261.9197.7181.4–211.7
2042252.5237.8–265.3198.3181.2–217
2043250.8234.7–263.4198.2182.3–215.3
2044251.8239.1–265.2199.2185.5–213.5
2045250.3239.1–265.6202187.1–216.8
2046252.7238.9–267.8204.1185.3–219.4
2047253.9239.4–267.1204.1187.4–220
2048254.4242.7–270.5206.1190.7–220
2049253.7241.5–266.4201.6187.7–216.2
2050254.6242.5–269.2205.7190.2–219.3
2051254.7242.7–270.1204.3188.8–222.1
2052252.3240.2–264.6203.8189.6–218
2053256.9244–272.4203.8186.3–218.8
2054255.9243.5–269.4207.6188.3–222.3
2055255.2243.8–273.6207.8190.8–221
2056259.1243.6–274.7203.7186.6–220.1
2057257.5243.8–273.7207.5188.8–224.2
2058257.4245.6–274.2205.9189.2–221.4
2059258.3246.4–271.8207.3191.6–226.9
2060259.2246.1–272.6206.9192.7–222.8
2061257.7244.8–270.1206.5190.4–220.9
2062260.4246.4–274.2208.1189.4–228.3
2063259.9241.3–272.7210.4193–227.1
2064260.2245.9–273.1207.5191.9–223.3
2065259.8244.1–274.7208.9193.9–226.1
2066260246.6–274.6210.3194.9–228
2067261.4246.4–272.3210.9193.1–228.6
2068260.1245.8–274.8209.8194.6–228.6
2069263.3249.8–276.6208.9194.5–226.3
2070259.6245.8–272.6211.2191.2–229
2071262.2248.7–283.4215.1196.3–233.3
2072259.8248.6–276213.6195.3–229.3
2073264.1246.6–277.2213.7194.1–231.6
2074262.6248.3–276.6210.5191.9–229.3
2075263.6248.5–277.7212.1196.6–231.8
2076261.6251–276.9212.8194.8–230.3
2077264251.1–279.8215.1196.6–233.9
2078265251.6–281.6215.5197.6–230.7
2079263.8248.5–277.2213.6197–229
2080266.8251.9–280.3213.6197.1–233.9
2081266.5250.7–279.9214.7194.4–231.6
2082264249.6–277.3214198.9–230.9
2083266.6251.8–282.8214.2198.5–238
2084264.8253.1–284.2217.4197.4–233.1
2085265.4251.2–283.4217.4199.6–237.9
2086268.2252.8–285.3217197.4–237.4
2087265.7251.3–280.8217.3199.7–238.7
2088267.2252.6–284.4216.1198.2–243.1
2089267.1252.5–286.7217.6199.5–239
2090267.9254.9–283.4217.3198.5–239.2
2091267.7254.5–282.2218.5202.8–238.4
2092268.8253.6–281.7218.5198.5–241.6
2093268.1251.7–287216.6197.8–236.3
2094267.4251.3–287.4218.8202–236.9
2095270.8253.7–284.9219.4204.2–237.4
2096267.9250.5–285.8219.9197.7–239.6
2097269.3254.9–287.3216.7196.8–239.7
2098268.8252.4–284.9219.7199.6–241.3
2099269253–282.3216.8200.8–236.8
2100269.8254.8–284.9218.7202.3–241

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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