Congo - Kinshasa vs Niger

Congo - Kinshasa vs Niger: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 26.9 nights, or 1.12 times that in Niger.

nights a year · CMIP6

Congo - Kinshasa vs Niger: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 26.9 nights, or 1.12 times that in Niger.
Congo - KinshasaNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa has been higher since 1994, when it overtook Niger.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Congo - Kinshasa at 324.1 nights and Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaNiger
2014248.5221.6
2013249.2216.1
2012250.9220.8
2011248.7220.1
2010243.5219.1
2009243217.2
2008239.7216.8
2007237.7216.9
2006239214.3
2005237.3213.6
2004238.5213.6
2003239.3215.5
2002236.5214.6
2001242.5213.4
2000233.5211.2
1999226.2210.4
1998230.6207.7
1997226.6211.5
1996218.6208.6
1995217.2208.3
1994211.9207.8
1993201.5202.6
1992197.6203.4
1991220.1209.4
1990225.4208.1
1989218.4206
1988216.7203
1987216.6204.9
1986216.8206.8
1985206.1203.9
1984205.9201.8
1983204.3200.5
1982204.5201.9
1981215.2204.3
1980211.4200.6
1979208.5200.5
1978202.6202
1977206.5203.8
1976201.9201.7
1975199199
1974204200.6
1973208.4202.6
1972202.5200.7
1971196.3200.8
1970201.7199.8
1969197.3196.1
1968199200.3
1967188.8196.6
1966194.7198.2
1965189199
1964177.3199.2
1963178.5196.7
1962203.2201.1
1961203.9198.2
1960209.8203.2
1959203.3201.6
1958204.3199.2
1957204201.1
1956197.6199.6
1955200.5199.7
1954201201.1
1953204.6196.5
1952201.9197.9
1951204.8199.8
1950200.8200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaNiger
2015256.6217.3–277.7218.8202.8–235.8
2016247.7213.3–269.3217.7201.8–230.6
2017257.4226.6–278.3222.4205.2–237.4
2018258.8228.1–276.8220.5206.3–238.8
2019255.8222.6–278.7219.1201.8–238.1
2020259.4227.4–282.3220.9206.9–234.7
2021262.6234.7–283.8222.8208.2–240.2
2022264.8235.1–288.5226.3209.7–239.2
2023263.9236.8–287.2223.2206.6–238.4
2024270.9237.9–290228.4214.3–242.9
2025266.1230.6–292.2226.7211.2–241
2026267.4226.8–294.5226.3210–243.1
2027268.6230.6–293.6228.5209.9–241.1
2028271.7239.7–295.9227.1211.9–240.2
2029275.9249.3–296.6230.4213.3–247.1
2030270.4241.7–296.1226.4211.6–242.2
2031279.4246.6–297.5230.1210.8–247.1
2032277.9249.4–302.3228.7212.3–241
2033276.9245.9–301.6229.9214.9–245.4
2034276.7247.4–305.6229.5212.1–244.9
2035281243.7–305.1232.3217.5–248
2036278.3244.7–304.9230.2213.7–244.6
2037286.9256.1–308.6233.2215.1–246.5
2038289261.5–307.1234.3218.2–249.7
2039284.7253.4–307.3231214.2–247.1
2040284.5254.7–311.5230.8214.8–247.5
2041289.9258.4–310.8232.6218.6–252.9
2042286.9254.1–314.3233.8216.2–250.5
2043285.9253–313232.5217.8–245.8
2044288.3253.6–312.5233.8218.2–250.1
2045289.4260.1–314.1233.6218.1–249.7
2046298.3261.3–317.3234.3217–250.2
2047298.5268.2–317.8238.4224.3–253.1
2048299.1268–320.8238221.4–254
2049300.3269.6–320.4237.7217.4–253
2050297.8267.2–320.6238.2220.7–254.5
2051298.4272.3–323.1236.3220.6–254.7
2052300.2271.5–324239.5224.3–255.8
2053298.7265.5–322.6236.3223.9–255.6
2054300.6269.6–322.8239.4220.2–257.9
2055301.9274.9–325.6238.6223.7–254.7
2056302.1266.2–328.3239214.7–260.3
2057305.1274.4–326.5240.4223–256.3
2058305.3274.1–327.1238.2220.2–255.7
2059305.4279–329.6243.9224.6–262.7
2060310.7273.5–330.2239.8222.6–260
2061307266.1–329.8242.5224.9–258.5
2062308.8269.1–332241.6222.4–259.8
2063308.4277.6–328.4241.3220.9–255.2
2064310.6278.4–329.6244.4225.9–259.5
2065311.9282.4–331.2242.8226.5–262.4
2066310.4284.2–330.3245.6227–263.5
2067308.8275.9–334240.7224.9–262
2068313.9280.8–334.6244224.3–265.4
2069312.1270.6–332.7243.9225.5–261.6
2070309.6278–334243.1225.6–261.3
2071312.6285–336.5246.1230.3–264
2072317287.7–334.6247.9229.9–263.7
2073316.2291.2–337.1243.4225.4–262.8
2074311.6284.5–334.9243.2224.4–264.6
2075312.3279.3–335.2244.3230.2–263.3
2076315.9288.7–337.1246.5228.5–266.6
2077318.5292.6–338.2250.1232.3–267.4
2078315287.3–337.1249.2230.8–264.5
2079314.8286.3–336244.4228.7–263.8
2080318.5286.8–337.8248.8230.4–267
2081318.4287.8–336.7247227.8–268.1
2082318.7289.8–336.5247230.6–264.4
2083317.4290.6–340.9247.3230.7–267.5
2084321.6293.8–339.8247.7229.4–265.2
2085324.4294.3–341.4248.9227–264.2
2086319290.7–340.7250.4230.9–269.5
2087318.3291.9–339.6245.8226.2–266.9
2088320.9292.9–340248.3226.7–271.1
2089322.1293.9–339.8251.9232.5–269.5
2090320.4295.5–341.7249.7227.7–267.4
2091325.4294.3–343.3248.9230.5–272.2
2092321.5294.4–342.4251229.8–274
2093323.1297.8–341.2249.9234.8–267
2094323.1296.5–341.1252.2234–267.5
2095325.6299.1–343.7251.1233–270.7
2096321.8296.2–344.1250.8234.8–270.4
2097321.5292.6–342250.2227.8–270.8
2098324.2295.1–342.8250.1228.1–268.5
2099322.8293.7–344.6251.9232.2–268.2
2100324.1292.1–344.1251.1234.5–271.5

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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