Congo - Kinshasa vs Zimbabwe

Congo - Kinshasa vs Zimbabwe: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 172.1 nights, or 3.25 times that in Zimbabwe.

nights a year · CMIP6

Congo - Kinshasa vs Zimbabwe: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 172.1 nights, or 3.25 times that in Zimbabwe.
Congo - KinshasaZimbabweCMIP6 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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaZimbabwe
2014248.576.4
2013249.278.4
2012250.975.9
2011248.773.3
2010243.571.5
200924369.6
2008239.769.8
2007237.769.3
200623970.3
2005237.369.5
2004238.571.8
2003239.372.9
2002236.571.3
2001242.571.3
2000233.567.4
1999226.262.3
1998230.666.3
1997226.662
1996218.657.7
1995217.258.9
1994211.956.8
1993201.550.1
1992197.652.1
1991220.158.7
1990225.461.5
1989218.460.4
1988216.761.6
1987216.657.3
1986216.858.6
1985206.154.1
1984205.954.6
1983204.353.3
1982204.553.7
1981215.257
1980211.457.3
1979208.556.2
1978202.653.1
1977206.555.2
1976201.951.2
197519953.6
197420454.2
1973208.453.9
1972202.553.2
1971196.351.1
1970201.753.1
1969197.353.3
196819948.7
1967188.848.7
1966194.748.8
196518948.6
1964177.344.6
1963178.547.4
1962203.255.8
1961203.951.6
1960209.855.6
1959203.353.6
1958204.355.3
195720453.2
1956197.648.6
1955200.554.4
195420153
1953204.651.8
1952201.952.7
1951204.852.3
1950200.851.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaZimbabwe
2015256.6217.3–277.779.463.5–98.5
2016247.7213.3–269.378.657.9–101.7
2017257.4226.6–278.381.263.3–98.5
2018258.8228.1–276.882.160.5–104.1
2019255.8222.6–278.782.863.9–102.3
2020259.4227.4–282.384.362.9–106.9
2021262.6234.7–283.882.564.7–102.7
2022264.8235.1–288.589.870.1–108.8
2023263.9236.8–287.290.672.5–110.7
2024270.9237.9–29093.769.8–113.4
2025266.1230.6–292.28865.1–114.6
2026267.4226.8–294.589.767.8–113.9
2027268.6230.6–293.695.668.4–119.6
2028271.7239.7–295.993.371.4–115.7
2029275.9249.3–296.6100.277.2–120
2030270.4241.7–296.19671.6–115.3
2031279.4246.6–297.59874.9–119.8
2032277.9249.4–302.398.574.7–118.5
2033276.9245.9–301.698.974–120.6
2034276.7247.4–305.6100.277.3–128.1
2035281243.7–305.1103.975.7–130.6
2036278.3244.7–304.9100.878–123
2037286.9256.1–308.610882.1–131.1
2038289261.5–307.1110.986.5–135
2039284.7253.4–307.3102.480.4–122.3
2040284.5254.7–311.5101.379.5–133.5
2041289.9258.4–310.8108.483.7–134.2
2042286.9254.1–314.3108.883.1–139.9
2043285.9253–313107.985.7–137.3
2044288.3253.6–312.5111.287–134.8
2045289.4260.1–314.1106.186.2–130.7
2046298.3261.3–317.3112.386.4–139.1
2047298.5268.2–317.8119.692.1–145.9
2048299.1268–320.8116.888.4–143.9
2049300.3269.6–320.4119.290.4–146.2
2050297.8267.2–320.6122.794.1–148.6
2051298.4272.3–323.1122.4100.9–147.7
2052300.2271.5–324124.2101.3–152.8
2053298.7265.5–322.6121.689–146.9
2054300.6269.6–322.8123.993.9–150.8
2055301.9274.9–325.6126.597.9–153.7
2056302.1266.2–328.3126.198–154.7
2057305.1274.4–326.5122.797.6–150.7
2058305.3274.1–327.1125.3103–154.1
2059305.4279–329.6132.2107.4–157.4
2060310.7273.5–330.2132.599.9–159
2061307266.1–329.8126.694.2–161.1
2062308.8269.1–332126.399.6–157.3
2063308.4277.6–328.4127.7101–159.7
2064310.6278.4–329.6130.498–151.3
2065311.9282.4–331.2132.4107.6–165.6
2066310.4284.2–330.3134.5106.8–159.8
2067308.8275.9–334125.598.9–160.5
2068313.9280.8–334.6134102.3–166.1
2069312.1270.6–332.7136.9106.4–164.2
2070309.6278–334133.199.8–166.3
2071312.6285–336.5135.2108.4–173.7
2072317287.7–334.6140.4110.6–166.8
2073316.2291.2–337.1140.9109.7–173.6
2074311.6284.5–334.9135.5112–170.6
2075312.3279.3–335.2136108.5–166.6
2076315.9288.7–337.1133.7105.9–163.7
2077318.5292.6–338.2140.2114.3–170.6
2078315287.3–337.1137.5111.3–172.3
2079314.8286.3–336136.9110.2–172.6
2080318.5286.8–337.8145115.8–173.2
2081318.4287.8–336.7147.2106.5–174.1
2082318.7289.8–336.5141.4111.4–169.9
2083317.4290.6–340.9143.6106.5–179.2
2084321.6293.8–339.8149.4117.3–176.9
2085324.4294.3–341.4154.3114.9–182.7
2086319290.7–340.7141.7115.3–176.1
2087318.3291.9–339.6142.7116.8–177.3
2088320.9292.9–340150.2118.3–178.9
2089322.1293.9–339.8148.9121.3–176.4
2090320.4295.5–341.7145.7113.7–179.4
2091325.4294.3–343.3149.7116.5–181.8
2092321.5294.4–342.4149.4119.7–181.7
2093323.1297.8–341.2152.5117.1–184.1
2094323.1296.5–341.1150.9117.3–182.2
2095325.6299.1–343.7155118.3–181.5
2096321.8296.2–344.1152.4113.1–189.2
2097321.5292.6–342144.1113.8–183.3
2098324.2295.1–342.8152.4119.2–187
2099322.8293.7–344.6152.9117.3–185
2100324.1292.1–344.1148.3120.1–184.6

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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