Congo - Kinshasa vs United States

Congo - Kinshasa vs United States: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 208.7 nights, or 6.24 times that in United States.

nights a year · CMIP6

Congo - Kinshasa vs United States: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 208.7 nights, or 6.24 times that in United States.
Congo - KinshasaUnited StatesCMIP6 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 United States at 63.9 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaUnited States
2014248.539.8
2013249.238.9
2012250.938.7
2011248.738.4
2010243.538.3
200924337.5
2008239.736.8
2007237.737.7
200623937.6
2005237.336.8
2004238.535.8
2003239.336
2002236.537.7
2001242.536.7
2000233.535.5
1999226.236.1
1998230.634.8
1997226.635.1
1996218.633.6
1995217.233.6
1994211.932.4
1993201.530.9
1992197.629.4
1991220.133.7
1990225.433.8
1989218.432.9
1988216.733
1987216.632.1
1986216.831.5
1985206.132
1984205.930.1
1983204.328.4
1982204.530.8
1981215.232.9
1980211.430.7
1979208.532.1
1978202.631.6
1977206.531.6
1976201.929.7
197519931.1
197420429.8
1973208.429.9
1972202.530.7
1971196.330
1970201.729.7
1969197.330.4
196819929.5
1967188.829.7
1966194.729.1
196518928.6
1964177.328.1
1963178.530
1962203.230.8
1961203.931.9
1960209.831.1
1959203.331
1958204.330.6
195720431
1956197.632
1955200.530.7
195420130.8
1953204.631.3
1952201.930.6
1951204.830.7
1950200.830.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaUnited States
2015256.6217.3–277.740.932.9–49.8
2016247.7213.3–269.341.933.3–52
2017257.4226.6–278.34234–50.6
2018258.8228.1–276.84333.9–52.5
2019255.8222.6–278.743.234.3–52.6
2020259.4227.4–282.342.833.9–53.1
2021262.6234.7–283.842.833.8–52.7
2022264.8235.1–288.543.634.5–52.3
2023263.9236.8–287.244.535–55.5
2024270.9237.9–29044.935.9–54.5
2025266.1230.6–292.24636.7–55.5
2026267.4226.8–294.544.735.6–54.8
2027268.6230.6–293.646.437.3–58.4
2028271.7239.7–295.945.836.5–56.6
2029275.9249.3–296.646.936.9–57.7
2030270.4241.7–296.146.936.6–58.8
2031279.4246.6–297.546.337–55.7
2032277.9249.4–302.346.236.9–56.5
2033276.9245.9–301.649.439.1–60.3
2034276.7247.4–305.647.738.7–58.6
2035281243.7–305.147.737.5–59.6
2036278.3244.7–304.949.439.2–61.8
2037286.9256.1–308.648.639.1–59.8
2038289261.5–307.150.240.4–59.8
2039284.7253.4–307.350.240.5–60.9
2040284.5254.7–311.550.739.8–61.8
2041289.9258.4–310.849.840.1–61.2
2042286.9254.1–314.351.441–63.1
2043285.9253–31351.341.4–62.2
2044288.3253.6–312.551.340.5–63.3
2045289.4260.1–314.152.441.5–64.7
2046298.3261.3–317.353.343.3–64.1
2047298.5268.2–317.853.844.1–66.5
2048299.1268–320.853.542.2–66
2049300.3269.6–320.453.743.2–65.9
2050297.8267.2–320.654.943–67.2
2051298.4272.3–323.154.743.5–67.5
2052300.2271.5–32453.642–66.1
2053298.7265.5–322.654.342.4–66.8
2054300.6269.6–322.854.543.1–67
2055301.9274.9–325.655.142.4–68
2056302.1266.2–328.355.844.3–70
2057305.1274.4–326.556.244.6–68.1
2058305.3274.1–327.156.144.4–70.4
2059305.4279–329.655.544.5–67.9
2060310.7273.5–330.256.144.9–68.3
2061307266.1–329.85746–69
2062308.8269.1–33257.443.9–70.3
2063308.4277.6–328.457.244.7–70.8
2064310.6278.4–329.65643–68.2
2065311.9282.4–331.256.544.2–71
2066310.4284.2–330.358.747.4–71.2
2067308.8275.9–33458.647.2–71.4
2068313.9280.8–334.658.846.1–71.7
2069312.1270.6–332.759.646.8–73
2070309.6278–33457.944.7–72.8
2071312.6285–336.55946.5–72
2072317287.7–334.658.746.4–72.9
2073316.2291.2–337.159.345.8–72.1
2074311.6284.5–334.960.546.4–74.6
2075312.3279.3–335.259.846.6–75.3
2076315.9288.7–337.159.647.5–74.4
2077318.5292.6–338.260.147.9–74.3
2078315287.3–337.160.747–76
2079314.8286.3–33661.148.3–76.2
2080318.5286.8–337.861.448.8–76.8
2081318.4287.8–336.76149.2–74.7
2082318.7289.8–336.561.748.1–75.9
2083317.4290.6–340.962.849.6–77.6
2084321.6293.8–339.862.248.1–76.8
2085324.4294.3–341.46247.9–76
2086319290.7–340.76449–78.8
2087318.3291.9–339.663.349.5–77.3
2088320.9292.9–34063.148.2–78.4
2089322.1293.9–339.861.648.8–76.6
2090320.4295.5–341.764.950.6–79
2091325.4294.3–343.364.750–78.6
2092321.5294.4–342.46448.1–79
2093323.1297.8–341.264.350.1–80.2
2094323.1296.5–341.163.248.2–78.9
2095325.6299.1–343.764.149.8–79.8
2096321.8296.2–344.16549.9–79.6
2097321.5292.6–34263.347.3–81.2
2098324.2295.1–342.864.349.7–79.2
2099322.8293.7–344.664.350.3–79.5
2100324.1292.1–344.163.950.3–80.2

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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