Congo - Kinshasa vs Tanzania

Congo - Kinshasa vs Tanzania: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 142.2 nights, or 2.34 times that in Tanzania.

nights a year · CMIP6

Congo - Kinshasa vs Tanzania: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 142.2 nights, or 2.34 times that in Tanzania.
Congo - KinshasaTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaTanzania
2014248.5106.3
2013249.2105.5
2012250.9108.4
2011248.7109
2010243.5103.9
2009243101.1
2008239.7100.3
2007237.799.5
2006239100.4
2005237.398.7
2004238.5100.4
2003239.399.6
2002236.598.4
2001242.5101.5
2000233.594.9
1999226.294.2
1998230.696.8
1997226.693.5
1996218.689.6
1995217.288.5
1994211.985.4
1993201.581.2
1992197.680.1
1991220.189.6
1990225.491.1
1989218.489.1
1988216.787.6
1987216.688.5
1986216.889.4
1985206.183
1984205.983.1
1983204.382.1
1982204.584.8
1981215.288
1980211.485
1979208.585.5
1978202.682.9
1977206.584.1
1976201.981
197519980.8
197420482.2
1973208.483.6
1972202.581.4
1971196.380.7
1970201.781.8
1969197.379.5
196819979.1
1967188.877.5
1966194.778.1
196518978
1964177.373.8
1963178.573.1
1962203.281.1
1961203.982.6
1960209.883.9
1959203.381.4
1958204.382.1
195720480.9
1956197.680
1955200.581.6
195420181.4
1953204.680.6
1952201.981.4
1951204.882.1
1950200.880.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaTanzania
2015256.6217.3–277.7114.895.2–137.4
2016247.7213.3–269.3108.391.6–125.6
2017257.4226.6–278.3114.893.6–137.8
2018258.8228.1–276.8116.497.4–137.1
2019255.8222.6–278.7113.495.2–133.2
2020259.4227.4–282.3119.396.2–143.5
2021262.6234.7–283.8119.5100.9–147.1
2022264.8235.1–288.5124.4105.3–147.4
2023263.9236.8–287.2122.1102.1–147.8
2024270.9237.9–290126.2100–150.1
2025266.1230.6–292.2124.6100.9–154
2026267.4226.8–294.5126.999.1–155.6
2027268.6230.6–293.6128102.9–147.7
2028271.7239.7–295.9129.9106.4–152.1
2029275.9249.3–296.6134.1111–156.5
2030270.4241.7–296.1129.4106.4–151.1
2031279.4246.6–297.5136.4115.9–158.4
2032277.9249.4–302.3135.1114–166.8
2033276.9245.9–301.6135.2110.9–161.9
2034276.7247.4–305.6134.7112.5–166.3
2035281243.7–305.1140.2114.6–165
2036278.3244.7–304.9137.8113.3–165.5
2037286.9256.1–308.6142.9121.5–168.9
2038289261.5–307.1147.9124.3–169.3
2039284.7253.4–307.3144.3117.6–171.3
2040284.5254.7–311.5140.5117–178
2041289.9258.4–310.8149.1121.7–175.6
2042286.9254.1–314.3146.3120.5–185.3
2043285.9253–313144.6117–173
2044288.3253.6–312.5147.7121.2–175.8
2045289.4260.1–314.1150.1125.2–183.4
2046298.3261.3–317.3161.5128.6–192.2
2047298.5268.2–317.8160.2129.7–194.4
2048299.1268–320.8158.8132.7–193.1
2049300.3269.6–320.4157.6131.1–196
2050297.8267.2–320.6159.7127.8–192
2051298.4272.3–323.1163.2135.5–197.8
2052300.2271.5–324161.9136.2–199.1
2053298.7265.5–322.6160.6127.5–197.7
2054300.6269.6–322.8163.2131.5–200.2
2055301.9274.9–325.6167.4137–208.3
2056302.1266.2–328.3166.4130.8–209.7
2057305.1274.4–326.5168134.6–208.3
2058305.3274.1–327.1168.7134.9–210.3
2059305.4279–329.6174.7144.9–219.5
2060310.7273.5–330.2181.7138.1–219.8
2061307266.1–329.8171.8135.5–218.1
2062308.8269.1–332177.5139.9–224
2063308.4277.6–328.4181.4140.1–213.8
2064310.6278.4–329.6185.3140.1–215.2
2065311.9282.4–331.2183.5141.1–221.8
2066310.4284.2–330.3181.9146.3–219.3
2067308.8275.9–334178.8138.8–229.2
2068313.9280.8–334.6186144.2–228.4
2069312.1270.6–332.7183.7141.7–225.3
2070309.6278–334180.7140.4–228.2
2071312.6285–336.5184.9146.9–235.2
2072317287.7–334.6191.3155–226.1
2073316.2291.2–337.1191.6152.4–235.6
2074311.6284.5–334.9183.3149.7–231.7
2075312.3279.3–335.2183.8144.8–233
2076315.9288.7–337.1191.1150.9–233.2
2077318.5292.6–338.2191.3152.6–238.2
2078315287.3–337.1189156.6–233.8
2079314.8286.3–336190.5147–237.3
2080318.5286.8–337.8197.3150.7–241.2
2081318.4287.8–336.7195.6153.4–237.4
2082318.7289.8–336.5194.5157.3–237.3
2083317.4290.6–340.9193.2151–249.8
2084321.6293.8–339.8201.1152.2–246.7
2085324.4294.3–341.4204.2162.3–252.3
2086319290.7–340.7195156–248.7
2087318.3291.9–339.6196.7160.8–244.5
2088320.9292.9–340208.4154.7–246.9
2089322.1293.9–339.8201.3158.6–248.2
2090320.4295.5–341.7197.9160.7–253.6
2091325.4294.3–343.3210161.6–256
2092321.5294.4–342.4205.8158.3–253.6
2093323.1297.8–341.2207.2161.2–251.9
2094323.1296.5–341.1207.9161.3–250.6
2095325.6299.1–343.7214.2166.4–258.5
2096321.8296.2–344.1205.3159.8–257.4
2097321.5292.6–342206.6158.4–256.8
2098324.2295.1–342.8209.1161–258.3
2099322.8293.7–344.6208.5160.1–256
2100324.1292.1–344.1208158.6–258.6

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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