Bangladesh vs Nigeria

Bangladesh vs Nigeria: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 64 nights, or 1.27 times that in Bangladesh.

Watch it change on the map

nights a year · CMIP6

Bangladesh vs Nigeria: Tropical nightsTropical nights in 2014: 239.9 nights in Bangladesh and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 64 nights, or 1.27 times that in Bangladesh.
BangladeshNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearBangladeshNigeria
2014239.9303.9
2013239299.5
2012240.4304.4
2011240.5301.5
2010241301.4
2009238.6297.8
2008236.7297.4
2007236.9298
2006238.9297.2
2005238.2295.4
2004238.7294.1
2003236.5298.4
2002237.6295.2
2001237.2299.1
2000239.3293.9
1999236.6290.3
1998235.5289.9
1997235.5292.5
1996235.5290
1995234.8289.1
1994233.6287.4
1993232.2284
1992228281.6
1991233.4289.1
1990234.6290.6
1989235.7287.2
1988235.1288
1987236.4285.6
1986233.8289.1
1985233.6284.2
1984236284.4
1983230281.9
1982232.3283.5
1981235.9286.4
1980233.4282.8
1979234.5283
1978231.8282.8
1977232.3285.9
1976232281.7
1975231.3280.4
1974232.9280.7
1973232.1284.3
1972234.3284.1
1971233.1279.3
1970232.5282
1969231.1278.7
1968229.7279.6
1967231.6278.1
1966232.6279.4
1965232.5279
1964229.3276.8
1963233.8275.1
1962231.9284.1
1961236.2281.9
1960232.5285.9
1959234.7282.8
1958233.5281.4
1957232.5283.3
1956234.3280.8
1955230.2280.4
1954232.9284.1
1953234280.4
1952230.3280.8
1951233.5284.2
1950233.9279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshNigeria
2015241.2227–252.4301.7282.9–317.3
2016237.9226.6–249.3301.4280.8–312.5
2017239.8227.5–249.4302.5284.3–316.3
2018242.6227–255302.2286.8–316.5
2019241.2228.5–251.9300.1281.2–318
2020242.6229.3–254.4303283.7–318.5
2021244.3230.4–254.4305.1287.1–318.4
2022243.8231.5–254.2305.1286–319.5
2023243.5229.2–254.5305286.4–318.9
2024245.7231.4–257.1310.6295.1–321.5
2025242.5229.4–253.9307.5292–319.4
2026243.9227.9–258.1306.9286.1–322.9
2027247.1232.8–259.3307.4288–321.7
2028244.2232.2–254.4310.7293.4–322.6
2029247.3232.7–261.5311.4293.3–324.4
2030243.9232.3–255.2310.6294.1–322.5
2031245.1232.9–262.3312.2295–324.8
2032247.6236.6–257.8310290–323.5
2033245.3231.7–256.6313292.9–327
2034246.3233.2–260.4311.7294.8–325.1
2035246.4234.1–260.9314.5296.7–327.7
2036246.2228.6–260.4313.5294.1–326.5
2037247.7235.4–260.2315.6297.9–327.1
2038249232.1–261316.9301.2–329.6
2039250234.4–262.7315.4299.4–328.2
2040248.9235.5–260.5315.6297.9–327.4
2041248.3235.6–261.9316.8300.6–330.2
2042252.5237.8–265.3316.3300.3–330.3
2043250.8234.7–263.4316298.4–326
2044251.8239.1–265.2317.9299.5–329.6
2045250.3239.1–265.6316.6300.5–330.4
2046252.7238.9–267.8317.8302.2–330.7
2047253.9239.4–267.1319.8301.5–333
2048254.4242.7–270.5320.1302.4–331.7
2049253.7241.5–266.4320.7305.3–331.7
2050254.6242.5–269.2320.9304–335
2051254.7242.7–270.1321304.1–334.2
2052252.3240.2–264.6320.9303.9–333.5
2053256.9244–272.4320.9303.3–334.1
2054255.9243.5–269.4324.5304.5–338.2
2055255.2243.8–273.6322.2308.4–333.7
2056259.1243.6–274.7324.8305.8–336.3
2057257.5243.8–273.7326310.8–337.3
2058257.4245.6–274.2322.9307.4–334.2
2059258.3246.4–271.8325.7308.9–339
2060259.2246.1–272.6323.8307.5–337
2061257.7244.8–270.1324.4307.1–338.2
2062260.4246.4–274.2325.7308–339.3
2063259.9241.3–272.7326.6308.7–337
2064260.2245.9–273.1326.2311–339.8
2065259.8244.1–274.7327.6313.5–339.4
2066260246.6–274.6328.4311.3–339.6
2067261.4246.4–272.3326308.4–340.5
2068260.1245.8–274.8329.3311.2–342.9
2069263.3249.8–276.6326.6309.9–338.1
2070259.6245.8–272.6327.4312.6–340.7
2071262.2248.7–283.4329.1313–341.1
2072259.8248.6–276330.3315.9–342.1
2073264.1246.6–277.2326.3309.5–341
2074262.6248.3–276.6326.7311.4–341.4
2075263.6248.5–277.7328.9314.5–341.8
2076261.6251–276.9329.6313.4–342
2077264251.1–279.8332.5314.4–343.3
2078265251.6–281.6329.8312.8–342.1
2079263.8248.5–277.2329.6313.8–340.6
2080266.8251.9–280.3331.7314.1–344.8
2081266.5250.7–279.9329.3311.6–343.7
2082264249.6–277.3329.3313.3–341.4
2083266.6251.8–282.8330.4315–342.2
2084264.8253.1–284.2330.5311.9–344.2
2085265.4251.2–283.4332.7316.6–343.6
2086268.2252.8–285.3331.9316.3–343.6
2087265.7251.3–280.8330.7314.9–342.4
2088267.2252.6–284.4331.7313.2–342.7
2089267.1252.5–286.7331.1318.3–341.9
2090267.9254.9–283.4332.4312.7–343.9
2091267.7254.5–282.2333.3311–345.8
2092268.8253.6–281.7332.7313.8–345.7
2093268.1251.7–287334.2318.6–344.9
2094267.4251.3–287.4334.2317.3–345.6
2095270.8253.7–284.9333.8319.3–346.3
2096267.9250.5–285.8332.5317.4–346.7
2097269.3254.9–287.3331.8312.6–344.6
2098268.8252.4–284.9332.3316–343.7
2099269253–282.3333316.9–344.2
2100269.8254.8–284.9332.3318.5–345

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

Bangladesh vs Nigeria

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment