Congo - Kinshasa vs Nigeria

Congo - Kinshasa vs Nigeria: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 55.4 nights, or 1.22 times that in Congo - Kinshasa.

nights a year · CMIP6

Congo - Kinshasa vs Nigeria: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 55.4 nights, or 1.22 times that in Congo - Kinshasa.
Congo - KinshasaNigeriaCMIP6 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 Congo - Kinshasa at 324.1 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaNigeria
2014248.5303.9
2013249.2299.5
2012250.9304.4
2011248.7301.5
2010243.5301.4
2009243297.8
2008239.7297.4
2007237.7298
2006239297.2
2005237.3295.4
2004238.5294.1
2003239.3298.4
2002236.5295.2
2001242.5299.1
2000233.5293.9
1999226.2290.3
1998230.6289.9
1997226.6292.5
1996218.6290
1995217.2289.1
1994211.9287.4
1993201.5284
1992197.6281.6
1991220.1289.1
1990225.4290.6
1989218.4287.2
1988216.7288
1987216.6285.6
1986216.8289.1
1985206.1284.2
1984205.9284.4
1983204.3281.9
1982204.5283.5
1981215.2286.4
1980211.4282.8
1979208.5283
1978202.6282.8
1977206.5285.9
1976201.9281.7
1975199280.4
1974204280.7
1973208.4284.3
1972202.5284.1
1971196.3279.3
1970201.7282
1969197.3278.7
1968199279.6
1967188.8278.1
1966194.7279.4
1965189279
1964177.3276.8
1963178.5275.1
1962203.2284.1
1961203.9281.9
1960209.8285.9
1959203.3282.8
1958204.3281.4
1957204283.3
1956197.6280.8
1955200.5280.4
1954201284.1
1953204.6280.4
1952201.9280.8
1951204.8284.2
1950200.8279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaNigeria
2015256.6217.3–277.7301.7282.9–317.3
2016247.7213.3–269.3301.4280.8–312.5
2017257.4226.6–278.3302.5284.3–316.3
2018258.8228.1–276.8302.2286.8–316.5
2019255.8222.6–278.7300.1281.2–318
2020259.4227.4–282.3303283.7–318.5
2021262.6234.7–283.8305.1287.1–318.4
2022264.8235.1–288.5305.1286–319.5
2023263.9236.8–287.2305286.4–318.9
2024270.9237.9–290310.6295.1–321.5
2025266.1230.6–292.2307.5292–319.4
2026267.4226.8–294.5306.9286.1–322.9
2027268.6230.6–293.6307.4288–321.7
2028271.7239.7–295.9310.7293.4–322.6
2029275.9249.3–296.6311.4293.3–324.4
2030270.4241.7–296.1310.6294.1–322.5
2031279.4246.6–297.5312.2295–324.8
2032277.9249.4–302.3310290–323.5
2033276.9245.9–301.6313292.9–327
2034276.7247.4–305.6311.7294.8–325.1
2035281243.7–305.1314.5296.7–327.7
2036278.3244.7–304.9313.5294.1–326.5
2037286.9256.1–308.6315.6297.9–327.1
2038289261.5–307.1316.9301.2–329.6
2039284.7253.4–307.3315.4299.4–328.2
2040284.5254.7–311.5315.6297.9–327.4
2041289.9258.4–310.8316.8300.6–330.2
2042286.9254.1–314.3316.3300.3–330.3
2043285.9253–313316298.4–326
2044288.3253.6–312.5317.9299.5–329.6
2045289.4260.1–314.1316.6300.5–330.4
2046298.3261.3–317.3317.8302.2–330.7
2047298.5268.2–317.8319.8301.5–333
2048299.1268–320.8320.1302.4–331.7
2049300.3269.6–320.4320.7305.3–331.7
2050297.8267.2–320.6320.9304–335
2051298.4272.3–323.1321304.1–334.2
2052300.2271.5–324320.9303.9–333.5
2053298.7265.5–322.6320.9303.3–334.1
2054300.6269.6–322.8324.5304.5–338.2
2055301.9274.9–325.6322.2308.4–333.7
2056302.1266.2–328.3324.8305.8–336.3
2057305.1274.4–326.5326310.8–337.3
2058305.3274.1–327.1322.9307.4–334.2
2059305.4279–329.6325.7308.9–339
2060310.7273.5–330.2323.8307.5–337
2061307266.1–329.8324.4307.1–338.2
2062308.8269.1–332325.7308–339.3
2063308.4277.6–328.4326.6308.7–337
2064310.6278.4–329.6326.2311–339.8
2065311.9282.4–331.2327.6313.5–339.4
2066310.4284.2–330.3328.4311.3–339.6
2067308.8275.9–334326308.4–340.5
2068313.9280.8–334.6329.3311.2–342.9
2069312.1270.6–332.7326.6309.9–338.1
2070309.6278–334327.4312.6–340.7
2071312.6285–336.5329.1313–341.1
2072317287.7–334.6330.3315.9–342.1
2073316.2291.2–337.1326.3309.5–341
2074311.6284.5–334.9326.7311.4–341.4
2075312.3279.3–335.2328.9314.5–341.8
2076315.9288.7–337.1329.6313.4–342
2077318.5292.6–338.2332.5314.4–343.3
2078315287.3–337.1329.8312.8–342.1
2079314.8286.3–336329.6313.8–340.6
2080318.5286.8–337.8331.7314.1–344.8
2081318.4287.8–336.7329.3311.6–343.7
2082318.7289.8–336.5329.3313.3–341.4
2083317.4290.6–340.9330.4315–342.2
2084321.6293.8–339.8330.5311.9–344.2
2085324.4294.3–341.4332.7316.6–343.6
2086319290.7–340.7331.9316.3–343.6
2087318.3291.9–339.6330.7314.9–342.4
2088320.9292.9–340331.7313.2–342.7
2089322.1293.9–339.8331.1318.3–341.9
2090320.4295.5–341.7332.4312.7–343.9
2091325.4294.3–343.3333.3311–345.8
2092321.5294.4–342.4332.7313.8–345.7
2093323.1297.8–341.2334.2318.6–344.9
2094323.1296.5–341.1334.2317.3–345.6
2095325.6299.1–343.7333.8319.3–346.3
2096321.8296.2–344.1332.5317.4–346.7
2097321.5292.6–342331.8312.6–344.6
2098324.2295.1–342.8332.3316–343.7
2099322.8293.7–344.6333316.9–344.2
2100324.1292.1–344.1332.3318.5–345

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

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