Congo - Kinshasa vs Sudan

Congo - Kinshasa vs Sudan: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 6.1 nights, or 1.03 times that in Sudan.

nights a year · CMIP6

Congo - Kinshasa vs Sudan: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 6.1 nights, or 1.03 times that in Sudan.
Congo - KinshasaSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa has been higher since 2000, when it overtook Sudan.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Congo - Kinshasa at 324.1 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaSudan
2014248.5242.4
2013249.2240
2012250.9242
2011248.7242.2
2010243.5240.6
2009243236.5
2008239.7237.1
2007237.7236
2006239235.3
2005237.3233.1
2004238.5233.5
2003239.3235.6
2002236.5234.7
2001242.5235.4
2000233.5230.5
1999226.2232.1
1998230.6230.2
1997226.6231.1
1996218.6227.3
1995217.2227.8
1994211.9225.3
1993201.5219.1
1992197.6217.8
1991220.1227.3
1990225.4227.5
1989218.4223
1988216.7223.1
1987216.6224.4
1986216.8226.4
1985206.1222.1
1984205.9220.7
1983204.3217
1982204.5216.3
1981215.2223.2
1980211.4220
1979208.5218.4
1978202.6218.5
1977206.5219.3
1976201.9220.1
1975199215.7
1974204217.5
1973208.4220
1972202.5217.9
1971196.3215.5
1970201.7217
1969197.3213.1
1968199214
1967188.8210.3
1966194.7213.3
1965189213.4
1964177.3213.2
1963178.5210.1
1962203.2217
1961203.9216.9
1960209.8221.3
1959203.3217.8
1958204.3216.2
1957204218.9
1956197.6217.2
1955200.5216.6
1954201218.9
1953204.6215.1
1952201.9216.4
1951204.8218.5
1950200.8214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaSudan
2015256.6217.3–277.7242.3225.3–258.3
2016247.7213.3–269.3241.4223.3–254.1
2017257.4226.6–278.3243.2223–259.1
2018258.8228.1–276.8242.3226.4–258.5
2019255.8222.6–278.7243.1221.7–260.4
2020259.4227.4–282.3244.9225.9–261.7
2021262.6234.7–283.8245.6229.1–261.5
2022264.8235.1–288.5249230.9–262.3
2023263.9236.8–287.2247.1226.8–263.1
2024270.9237.9–290251.5232.8–266.1
2025266.1230.6–292.2250.7232.4–265.6
2026267.4226.8–294.5250230.8–266.6
2027268.6230.6–293.6248.8228.4–265.6
2028271.7239.7–295.9249232.2–263.1
2029275.9249.3–296.6251.4232.1–266
2030270.4241.7–296.1252235.4–266.7
2031279.4246.6–297.5253.3234.4–268.9
2032277.9249.4–302.3250.4232.3–266.6
2033276.9245.9–301.6254.4235.3–269.4
2034276.7247.4–305.6254.2234.5–269.9
2035281243.7–305.1258.3240.2–273.6
2036278.3244.7–304.9252.8235.6–268.6
2037286.9256.1–308.6256.7238.6–271.8
2038289261.5–307.1258.7244.8–272.1
2039284.7253.4–307.3259.5241.2–272.5
2040284.5254.7–311.5256.4236.7–272.3
2041289.9258.4–310.8259.1241.2–274.5
2042286.9254.1–314.3258.7242–274.7
2043285.9253–313258.1240.3–272.6
2044288.3253.6–312.5257.3238.6–274.7
2045289.4260.1–314.1258.8243.1–276.2
2046298.3261.3–317.3261.1241.7–277.6
2047298.5268.2–317.8261.4244.6–278.4
2048299.1268–320.8260.4243.4–279.5
2049300.3269.6–320.4261.9242.6–275.9
2050297.8267.2–320.6263.5245.4–279
2051298.4272.3–323.1263.6246.6–278.8
2052300.2271.5–324263.8248.7–278.3
2053298.7265.5–322.6262.8242.4–279.2
2054300.6269.6–322.8266.3246.6–282.9
2055301.9274.9–325.6265.6245.9–281.4
2056302.1266.2–328.3264.1242.6–281.5
2057305.1274.4–326.5266.4247.6–283.4
2058305.3274.1–327.1265.2247.4–280.3
2059305.4279–329.6268.4249.6–285.4
2060310.7273.5–330.2263.6246.7–284.4
2061307266.1–329.8266.9250.1–281.9
2062308.8269.1–332266.4248.5–285
2063308.4277.6–328.4267.1246.9–283.4
2064310.6278.4–329.6269250.7–284.7
2065311.9282.4–331.2269.8253.9–285.6
2066310.4284.2–330.3271.4251.9–287.3
2067308.8275.9–334270.9250–288.4
2068313.9280.8–334.6271.9251.7–289.8
2069312.1270.6–332.7268251.1–286.2
2070309.6278–334269252.3–285.8
2071312.6285–336.5275.5254.1–290.4
2072317287.7–334.6273.3254.2–289.4
2073316.2291.2–337.1271.9250.7–287.6
2074311.6284.5–334.9270.9249–290.1
2075312.3279.3–335.2273.1254–291.9
2076315.9288.7–337.1272.7255.2–290.9
2077318.5292.6–338.2274.6255.2–292.7
2078315287.3–337.1274.3255.6–291.2
2079314.8286.3–336272255.2–288.5
2080318.5286.8–337.8276.6256–292.2
2081318.4287.8–336.7275.1254.1–294.8
2082318.7289.8–336.5272.9258.7–288.6
2083317.4290.6–340.9276.5258–291.7
2084321.6293.8–339.8275.4253–294.9
2085324.4294.3–341.4275.3258.6–291.6
2086319290.7–340.7276.4256.9–296.6
2087318.3291.9–339.6273.5253.1–293.3
2088320.9292.9–340273.6253.7–293.6
2089322.1293.9–339.8276.5256.6–293.4
2090320.4295.5–341.7276.6256.4–294.6
2091325.4294.3–343.3277.4256.4–296.6
2092321.5294.4–342.4274.6254.3–294.9
2093323.1297.8–341.2278261.9–292.1
2094323.1296.5–341.1280.3262.2–294
2095325.6299.1–343.7277.5262.6–294
2096321.8296.2–344.1279.7258.7–297
2097321.5292.6–342276.3254.1–297.6
2098324.2295.1–342.8277.7258.2–295.5
2099322.8293.7–344.6276.8257.2–296.2
2100324.1292.1–344.1278.6259–294.3

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

Congo - Kinshasa vs Sudan

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment