Bangladesh vs Indonesia

Bangladesh vs Indonesia: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 66.6 nights, or 1.28 times that in Bangladesh.

Watch it change on the map

nights a year · CMIP6

Bangladesh vs Indonesia: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 66.6 nights, or 1.28 times that in Bangladesh.
BangladeshIndonesiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia 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 Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshIndonesia
2014239.9306.5
2013239306.4
2012240.4306.3
2011240.5304.6
2010241305.6
2009238.6303.9
2008236.7303.4
2007236.9302.8
2006238.9302.8
2005238.2303.1
2004238.7303.8
2003236.5301.9
2002237.6301.5
2001237.2302.5
2000239.3300.9
1999236.6300.4
1998235.5299.1
1997235.5297.9
1996235.5296.9
1995234.8296.7
1994233.6294.6
1993232.2291.6
1992228288.5
1991233.4297.5
1990234.6298.6
1989235.7296
1988235.1296.5
1987236.4295.6
1986233.8295.8
1985233.6292.8
1984236293.4
1983230290.1
1982232.3294.4
1981235.9294.8
1980233.4294.5
1979234.5294.1
1978231.8292.4
1977232.3293.4
1976232290.8
1975231.3290.7
1974232.9291.5
1973232.1293
1972234.3290.7
1971233.1291.2
1970232.5288.9
1969231.1290.4
1968229.7289.1
1967231.6288.4
1966232.6290.5
1965232.5288.1
1964229.3286.2
1963233.8286.4
1962231.9291.2
1961236.2292.9
1960232.5292.8
1959234.7291.9
1958233.5293.3
1957232.5290.8
1956234.3291.5
1955230.2292.4
1954232.9290
1953234291.4
1952230.3291.7
1951233.5291.7
1950233.9291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshIndonesia
2015241.2227–252.4308295.7–315.1
2016237.9226.6–249.3307.5296.9–315.6
2017239.8227.5–249.4308.4295.5–315.6
2018242.6227–255308.9296.4–316.6
2019241.2228.5–251.9309.9297.8–316.7
2020242.6229.3–254.4310.9299–318.6
2021244.3230.4–254.4310.4298.7–316.4
2022243.8231.5–254.2311.4300–319.6
2023243.5229.2–254.5311.4300.1–320.6
2024245.7231.4–257.1313.2302–321.2
2025242.5229.4–253.9312300.2–321.9
2026243.9227.9–258.1312.6299.9–322.8
2027247.1232.8–259.3312.7301–321.6
2028244.2232.2–254.4313.8302.4–321.9
2029247.3232.7–261.5315.5303.9–324.1
2030243.9232.3–255.2314.2303.1–322.6
2031245.1232.9–262.3314.4301.6–321.9
2032247.6236.6–257.8316.9304.8–325.8
2033245.3231.7–256.6316.6305.4–323.3
2034246.3233.2–260.4315.4303.9–323.9
2035246.4234.1–260.9316.3305.6–327.9
2036246.2228.6–260.4317.7305.2–326.2
2037247.7235.4–260.2318.1306.6–325.2
2038249232.1–261319.3307.6–326.7
2039250234.4–262.7319.4307.7–326.7
2040248.9235.5–260.5318.5306.5–329
2041248.3235.6–261.9320.2308.3–328
2042252.5237.8–265.3320308.7–329.2
2043250.8234.7–263.4318.6306.6–327.8
2044251.8239.1–265.2321309–329.6
2045250.3239.1–265.6320.8308.6–329.8
2046252.7238.9–267.8322.8308.8–331
2047253.9239.4–267.1323.2308.8–333
2048254.4242.7–270.5322.3310.5–332.3
2049253.7241.5–266.4323.8311.6–334.1
2050254.6242.5–269.2323.3310.3–333.5
2051254.7242.7–270.1323.6311.2–334.4
2052252.3240.2–264.6325.1311.7–334.7
2053256.9244–272.4323.9310.9–333.8
2054255.9243.5–269.4324.4311.9–335.4
2055255.2243.8–273.6325.3312.6–335
2056259.1243.6–274.7325.9312.4–337.2
2057257.5243.8–273.7326.9311.9–335.2
2058257.4245.6–274.2326.4313–336.3
2059258.3246.4–271.8326.4313.9–337.8
2060259.2246.1–272.6329.5314.9–338.2
2061257.7244.8–270.1327.9313.6–336.9
2062260.4246.4–274.2327.6312.4–339.1
2063259.9241.3–272.7327.6313.9–339.4
2064260.2245.9–273.1328.8314.4–338.6
2065259.8244.1–274.7327.6314.3–337.9
2066260246.6–274.6328.6314.7–338.5
2067261.4246.4–272.3328.8314.3–338
2068260.1245.8–274.8329.8314.4–339.9
2069263.3249.8–276.6329.5315.5–339.3
2070259.6245.8–272.6328.6315.1–338.8
2071262.2248.7–283.4331.4315.5–340.4
2072259.8248.6–276330.3315.9–339.4
2073264.1246.6–277.2331.4317.7–341
2074262.6248.3–276.6329.9316.8–341.1
2075263.6248.5–277.7330.5315.2–340.2
2076261.6251–276.9331.5316.2–341.2
2077264251.1–279.8332315.9–341.8
2078265251.6–281.6331.4318.2–340.9
2079263.8248.5–277.2331.5316.6–341.5
2080266.8251.9–280.3332.4317.4–343.2
2081266.5250.7–279.9332.3318.4–341.8
2082264249.6–277.3332.8317.8–340.4
2083266.6251.8–282.8333.1318.7–342.6
2084264.8253.1–284.2333317.8–342.7
2085265.4251.2–283.4332.6318.1–342.7
2086268.2252.8–285.3333.1318.9–342.3
2087265.7251.3–280.8332.6318–343.2
2088267.2252.6–284.4334.5319.5–343.1
2089267.1252.5–286.7333.6319–342.6
2090267.9254.9–283.4333.3319.6–343.3
2091267.7254.5–282.2334.5318.2–343.9
2092268.8253.6–281.7335.1319.7–343.6
2093268.1251.7–287333.9320–344.9
2094267.4251.3–287.4335.6320.4–342.8
2095270.8253.7–284.9335.4319.7–343
2096267.9250.5–285.8334.3319.4–346.1
2097269.3254.9–287.3334.2319.5–343.3
2098268.8252.4–284.9334.9319.4–343.4
2099269253–282.3334.4319.4–344.6
2100269.8254.8–284.9334.7318.7–343.3

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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