Congo - Kinshasa vs Ghana

Congo - Kinshasa vs Ghana: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 108.3 nights, or 1.44 times that in Congo - Kinshasa.

nights a year · CMIP6

Congo - Kinshasa vs Ghana: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 356.8 nights in Ghana, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 108.3 nights, or 1.44 times that in Congo - Kinshasa.
Congo - KinshasaGhanaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana 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 Ghana at 364.2 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaGhana
2014248.5356.8
2013249.2355.8
2012250.9356.8
2011248.7355.7
2010243.5355.9
2009243353.2
2008239.7353.1
2007237.7353.8
2006239353.9
2005237.3352.7
2004238.5352.4
2003239.3353.8
2002236.5353.2
2001242.5354.9
2000233.5352.2
1999226.2350.2
1998230.6350.6
1997226.6350.5
1996218.6349.1
1995217.2348.9
1994211.9347.9
1993201.5347.1
1992197.6344.5
1991220.1348.4
1990225.4352.1
1989218.4347.9
1988216.7347.2
1987216.6346.6
1986216.8348.4
1985206.1347.2
1984205.9346.2
1983204.3344.8
1982204.5344.8
1981215.2346.8
1980211.4344.5
1979208.5346.4
1978202.6343.9
1977206.5345.9
1976201.9344.5
1975199345.3
1974204343
1973208.4344
1972202.5344.4
1971196.3342.7
1970201.7344
1969197.3342.5
1968199342
1967188.8342.7
1966194.7342.1
1965189342
1964177.3340
1963178.5342.8
1962203.2345.9
1961203.9344.1
1960209.8345.7
1959203.3344.6
1958204.3344.6
1957204344.1
1956197.6343.5
1955200.5342.5
1954201346.8
1953204.6344.5
1952201.9341.9
1951204.8343.8
1950200.8340.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaGhana
2015256.6217.3–277.7356341.5–361.7
2016247.7213.3–269.3356.5341.4–361.5
2017257.4226.6–278.3355.2341.3–361.6
2018258.8228.1–276.8355.8345.7–362.1
2019255.8222.6–278.7353.9343.6–362.3
2020259.4227.4–282.3356341.7–362.9
2021262.6234.7–283.8356.9345.4–362.7
2022264.8235.1–288.5358.2342–362.6
2023263.9236.8–287.2356.7344–361.7
2024270.9237.9–290358.6347.7–363.4
2025266.1230.6–292.2357.1347.2–361.9
2026267.4226.8–294.5357.2343.5–362.7
2027268.6230.6–293.6357.5344.3–362.4
2028271.7239.7–295.9359.5348.6–363.6
2029275.9249.3–296.6358.8349–363.1
2030270.4241.7–296.1359.6350.6–363.2
2031279.4246.6–297.5360.8351–364
2032277.9249.4–302.3359.7346.4–363.9
2033276.9245.9–301.6360.2349–364.1
2034276.7247.4–305.6359.4350.8–363.1
2035281243.7–305.1360.5350.8–364
2036278.3244.7–304.9360.9350.6–364.9
2037286.9256.1–308.6361350.5–364
2038289261.5–307.1361.4354.4–363.9
2039284.7253.4–307.3361.3352.3–364.5
2040284.5254.7–311.5361.5352.2–365.2
2041289.9258.4–310.8361.3351.7–364.3
2042286.9254.1–314.3360.6352.3–364.3
2043285.9253–313360.6351.8–364
2044288.3253.6–312.5361.6353.6–364.8
2045289.4260.1–314.1361.1353.2–364.4
2046298.3261.3–317.3361.9353.1–364.1
2047298.5268.2–317.8362.3350.3–364.5
2048299.1268–320.8362.1354.7–365.3
2049300.3269.6–320.4362.6354–364.4
2050297.8267.2–320.6362.2355.3–364.4
2051298.4272.3–323.1362.3355.7–364.6
2052300.2271.5–324362.1354.2–365
2053298.7265.5–322.6362.4354.1–364.5
2054300.6269.6–322.8362.9354.8–364.6
2055301.9274.9–325.6362.5355.1–364.5
2056302.1266.2–328.3363.3355.6–365.7
2057305.1274.4–326.5363.2355.9–364.8
2058305.3274.1–327.1363356.3–364.9
2059305.4279–329.6362.9356.2–364.8
2060310.7273.5–330.2362.9354.1–365.7
2061307266.1–329.8363.2354–364.9
2062308.8269.1–332363.1355–364.9
2063308.4277.6–328.4363.2355.5–364.9
2064310.6278.4–329.6363.3356.6–365.6
2065311.9282.4–331.2363.7357.8–364.9
2066310.4284.2–330.3362.7356.9–364.8
2067308.8275.9–334363.6354.1–364.9
2068313.9280.8–334.6364.1356.3–365.8
2069312.1270.6–332.7362.8356.3–364.9
2070309.6278–334363.3356.2–364.9
2071312.6285–336.5363.5355.3–364.9
2072317287.7–334.6364.1355.6–365.8
2073316.2291.2–337.1363.6355.1–364.8
2074311.6284.5–334.9363.4355.4–364.8
2075312.3279.3–335.2363.4357–364.9
2076315.9288.7–337.1363.8358.4–365.8
2077318.5292.6–338.2363.8357.8–365
2078315287.3–337.1363.9356.6–364.9
2079314.8286.3–336364.2358–365
2080318.5286.8–337.8364.3357.8–366
2081318.4287.8–336.7363.8357.1–365
2082318.7289.8–336.5363.5357.1–364.9
2083317.4290.6–340.9364.1358.3–365
2084321.6293.8–339.8364358.5–365.9
2085324.4294.3–341.4364.1358.3–365
2086319290.7–340.7364.1357.8–365
2087318.3291.9–339.6364.1357.9–365
2088320.9292.9–340364.2356.4–365.9
2089322.1293.9–339.8363.9357.6–365
2090320.4295.5–341.7364.2357.6–365
2091325.4294.3–343.3363.9357.6–364.9
2092321.5294.4–342.4364.4356.6–366
2093323.1297.8–341.2364.4358.2–365
2094323.1296.5–341.1364.1357.9–365
2095325.6299.1–343.7364358.2–365
2096321.8296.2–344.1363.9358–366
2097321.5292.6–342363.9356.3–364.9
2098324.2295.1–342.8363.7357.8–364.9
2099322.8293.7–344.6363.9358.6–365
2100324.1292.1–344.1364.2357.6–365

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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