Congo - Kinshasa vs Egypt

Congo - Kinshasa vs Egypt: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 103.5 nights, or 1.71 times that in Egypt.

nights a year · CMIP6

Congo - Kinshasa vs Egypt: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 145 nights in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 103.5 nights, or 1.71 times that in Egypt.
Congo - KinshasaEgyptCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa 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 Egypt at 183.4 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaEgypt
2014248.5145
2013249.2145
2012250.9145.1
2011248.7144.7
2010243.5143.5
2009243140.2
2008239.7142.6
2007237.7140.5
2006239139.6
2005237.3140
2004238.5141.3
2003239.3141
2002236.5137.7
2001242.5139
2000233.5134.8
1999226.2135.5
1998230.6133
1997226.6134
1996218.6132.1
1995217.2130.2
1994211.9129.8
1993201.5123.6
1992197.6126.1
1991220.1129.7
1990225.4129.7
1989218.4126
1988216.7124.3
1987216.6125.8
1986216.8128.9
1985206.1125.7
1984205.9119.4
1983204.3119.4
1982204.5120.7
1981215.2122.6
1980211.4124.9
1979208.5119.2
1978202.6122.6
1977206.5121.3
1976201.9123.2
1975199121.9
1974204123.1
1973208.4123.5
1972202.5120.1
1971196.3120.7
1970201.7119.7
1969197.3118.3
1968199119.4
1967188.8116.2
1966194.7116.1
1965189112.9
1964177.3116.4
1963178.5120.2
1962203.2118.9
1961203.9118.7
1960209.8123.6
1959203.3123.2
1958204.3120.7
1957204122.4
1956197.6122.7
1955200.5119.4
1954201120.8
1953204.6121.3
1952201.9120.7
1951204.8121.2
1950200.8118.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaEgypt
2015256.6217.3–277.7149.6131.4–164.2
2016247.7213.3–269.3147.7133.5–160.2
2017257.4226.6–278.3150.8134.8–163.2
2018258.8228.1–276.8147.4133.4–165.6
2019255.8222.6–278.7149.6132.7–164
2020259.4227.4–282.3150.8136.4–164.7
2021262.6234.7–283.8152.1137.8–168.1
2022264.8235.1–288.5154138.1–170.6
2023263.9236.8–287.2154.4139–168.4
2024270.9237.9–290155.8141.7–168.5
2025266.1230.6–292.2154.5139.6–168.1
2026267.4226.8–294.5155.1144.5–165.9
2027268.6230.6–293.6154.2139.5–166.3
2028271.7239.7–295.9154.5141.8–168.6
2029275.9249.3–296.6156.3139.9–169.5
2030270.4241.7–296.1156.3143.1–169.1
2031279.4246.6–297.5155.5141.5–171.2
2032277.9249.4–302.3158.3144.6–170.4
2033276.9245.9–301.6159.9143.8–172.9
2034276.7247.4–305.6159.8144.9–173.2
2035281243.7–305.1163.5146.6–175.8
2036278.3244.7–304.9156.2143.7–170.6
2037286.9256.1–308.6158.8142.9–173.8
2038289261.5–307.1164.9146.1–177.8
2039284.7253.4–307.3161.8146.1–180.1
2040284.5254.7–311.5161.6147.9–176.5
2041289.9258.4–310.8163.7149.4–177.3
2042286.9254.1–314.3166.5149.7–180.6
2043285.9253–313163.6150.3–176.8
2044288.3253.6–312.5162.2147–178
2045289.4260.1–314.1167.2152.5–181
2046298.3261.3–317.3166149–181.1
2047298.5268.2–317.8165.9151.8–181.5
2048299.1268–320.8167.2154.5–180.1
2049300.3269.6–320.4165.3148.7–177.9
2050297.8267.2–320.6170152.8–183
2051298.4272.3–323.1165.6152.7–179.5
2052300.2271.5–324167.3156–180.2
2053298.7265.5–322.6170.1153.6–183.8
2054300.6269.6–322.8169153.3–183
2055301.9274.9–325.6170.5153.5–183.3
2056302.1266.2–328.3168.3151.2–181.4
2057305.1274.4–326.5166.8150.7–185.3
2058305.3274.1–327.1171.8154.2–188.2
2059305.4279–329.6173.3157.8–188.6
2060310.7273.5–330.2170.5154.8–189.3
2061307266.1–329.8170.3155.1–184.6
2062308.8269.1–332172.1155.2–185.7
2063308.4277.6–328.4169.7152.8–182.6
2064310.6278.4–329.6172.3155.9–187.2
2065311.9282.4–331.2173.3159.7–189.9
2066310.4284.2–330.3170155–187.7
2067308.8275.9–334176.2161.5–190
2068313.9280.8–334.6174.6157.3–193.1
2069312.1270.6–332.7175.8158.8–191.7
2070309.6278–334173.3158.3–191.7
2071312.6285–336.5176.8158.1–194.7
2072317287.7–334.6177.6160.8–192.1
2073316.2291.2–337.1176159.2–189.3
2074311.6284.5–334.9171.9156.5–194.1
2075312.3279.3–335.2171.8157–191.9
2076315.9288.7–337.1177161–194.6
2077318.5292.6–338.2179.7157–194.1
2078315287.3–337.1178.4161–195
2079314.8286.3–336178.2160.2–193.7
2080318.5286.8–337.8178.5163–193.3
2081318.4287.8–336.7177.2160–192.8
2082318.7289.8–336.5178.8164.5–193.3
2083317.4290.6–340.9180.6164.4–195.7
2084321.6293.8–339.8181.4162.4–197.8
2085324.4294.3–341.4178.8163–196.7
2086319290.7–340.7181.9166.6–198.8
2087318.3291.9–339.6178156.4–194.3
2088320.9292.9–340177.8163.5–196
2089322.1293.9–339.8180.9163.5–198.9
2090320.4295.5–341.7179.9162.4–197.8
2091325.4294.3–343.3184.2165.1–198.9
2092321.5294.4–342.4180.3162.9–196.3
2093323.1297.8–341.2181.1166.1–198.2
2094323.1296.5–341.1185.4168–198.9
2095325.6299.1–343.7181.9165.5–197.3
2096321.8296.2–344.1183.1163.5–200.3
2097321.5292.6–342181.5165.4–198.9
2098324.2295.1–342.8181.7162.1–198.8
2099322.8293.7–344.6179.9164.2–197.8
2100324.1292.1–344.1183.4162.9–198.1

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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