Chad vs Congo - Kinshasa

Chad vs Congo - Kinshasa: Tropical nights

Tropical nights in 2014: 237.6 nights in Chad and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 10.9 nights, or 1.05 times that in Chad.

nights a year · CMIP6

Chad vs Congo - Kinshasa: Tropical nightsTropical nights in 2014: 237.6 nights in Chad and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 10.9 nights, or 1.05 times that in Chad.
ChadCongo - KinshasaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa has been higher since 1997, when it overtook Chad.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Chad at 273.4 nights and Congo - Kinshasa at 324.1 nights in 2100.

Every year

nights a year · CMIP6

YearChadCongo - Kinshasa
2014237.6248.5
2013231.8249.2
2012237.9250.9
2011236.2248.7
2010234.8243.5
2009231.5243
2008230.8239.7
2007229.6237.7
2006229.5239
2005228.8237.3
2004228238.5
2003230.9239.3
2002229.8236.5
2001230.2242.5
2000226.4233.5
1999225.1226.2
1998222.9230.6
1997226.3226.6
1996222.4218.6
1995222.3217.2
1994221.4211.9
1993215.6201.5
1992214.4197.6
1991223220.1
1990222.8225.4
1989220218.4
1988219.9216.7
1987218.4216.6
1986222.6216.8
1985218206.1
1984216.1205.9
1983213.7204.3
1982214.8204.5
1981218.1215.2
1980215211.4
1979214.5208.5
1978216202.6
1977216.2206.5
1976215.7201.9
1975212.2199
1974213.8204
1973216.9208.4
1972215.2202.5
1971212.6196.3
1970214.3201.7
1969210.3197.3
1968212.8199
1967209.1188.8
1966210.8194.7
1965210.3189
1964210.6177.3
1963207.5178.5
1962214.7203.2
1961212.3203.9
1960217.3209.8
1959212.5203.3
1958213.8204.3
1957214204
1956213.4197.6
1955213.8200.5
1954214.3201
1953211.3204.6
1952213.1201.9
1951213.8204.8
1950213.1200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearChadCongo - Kinshasa
2015235.8215.6–253.1256.6217.3–277.7
2016233.3212.8–247.7247.7213.3–269.3
2017237.6218.6–253.1257.4226.6–278.3
2018235.8217.8–254.4258.8228.1–276.8
2019235.2213.3–255.6255.8222.6–278.7
2020237217.1–255259.4227.4–282.3
2021239.6220–258.2262.6234.7–283.8
2022240.4223.1–258.2264.8235.1–288.5
2023239.1216.7–256.4263.9236.8–287.2
2024246.7227.6–261.2270.9237.9–290
2025243.2223.9–259.4266.1230.6–292.2
2026242.9220.8–260.9267.4226.8–294.5
2027242.3221.2–258.6268.6230.6–293.6
2028242.7225.4–259.7271.7239.7–295.9
2029246.3227.2–264.1275.9249.3–296.6
2030244.7225.8–261.1270.4241.7–296.1
2031246.8224.7–264.8279.4246.6–297.5
2032244.3226.5–260.2277.9249.4–302.3
2033247.6228.7–266.1276.9245.9–301.6
2034247.8224.9–263.9276.7247.4–305.6
2035250.9230.3–268.9281243.7–305.1
2036246.7226.3–264.1278.3244.7–304.9
2037249.9230.3–266.2286.9256.1–308.6
2038252.4233.4–268.7289261.5–307.1
2039250230.8–267.5284.7253.4–307.3
2040248.9227–266.8284.5254.7–311.5
2041252230–270.9289.9258.4–310.8
2042250.4232–271.8286.9254.1–314.3
2043251.1232–265.5285.9253–313
2044251.4230.2–271.3288.3253.6–312.5
2045252.3230.8–270.2289.4260.1–314.1
2046253.6231.9–272.3298.3261.3–317.3
2047254.6236.7–274.4298.5268.2–317.8
2048254.4236.6–273.6299.1268–320.8
2049256235.4–272300.3269.6–320.4
2050255.9234.4–276.1297.8267.2–320.6
2051256.1237.8–275.9298.4272.3–323.1
2052258.3237.1–273.9300.2271.5–324
2053255.9234.9–275298.7265.5–322.6
2054260.6233–279.6300.6269.6–322.8
2055259.9239.1–276.6301.9274.9–325.6
2056259.4233.3–279302.1266.2–328.3
2057262.5240.8–278.4305.1274.4–326.5
2058259.3239.2–275.5305.3274.1–327.1
2059263.7240.5–282.9305.4279–329.6
2060259.3239.3–280310.7273.5–330.2
2061261.1240.7–281.2307266.1–329.8
2062261.4238.1–281.4308.8269.1–332
2063263.4239.6–278.6308.4277.6–328.4
2064263.9244.3–283.2310.6278.4–329.6
2065263.7247.7–283.1311.9282.4–331.2
2066265.2245.7–285.6310.4284.2–330.3
2067262.5242.8–283.8308.8275.9–334
2068266.8241.4–286.3313.9280.8–334.6
2069262.7242.8–283.1312.1270.6–332.7
2070264.9243.5–284.9309.6278–334
2071267.9248.5–286312.6285–336.5
2072269.2246.8–285.6317287.7–334.6
2073263.7241.6–284.2316.2291.2–337.1
2074264239.7–285.1311.6284.5–334.9
2075266.5246.7–287312.3279.3–335.2
2076267.8245.8–285.7315.9288.7–337.1
2077269.5247.1–290.8318.5292.6–338.2
2078268.6247.9–286.4315287.3–337.1
2079266.4247.9–286.3314.8286.3–336
2080269.4249.6–289.4318.5286.8–337.8
2081267.4247.1–291.8318.4287.8–336.7
2082266.7249.2–286.8318.7289.8–336.5
2083269.8248.9–287.6317.4290.6–340.9
2084268.4243.4–289.7321.6293.8–339.8
2085270.8251.2–287.4324.4294.3–341.4
2086270.6249.6–291.5319290.7–340.7
2087266.3246.2–289.2318.3291.9–339.6
2088269.2245.6–290.7320.9292.9–340
2089270.4251.1–289322.1293.9–339.8
2090270.9245.5–291.1320.4295.5–341.7
2091271.3246.1–293.5325.4294.3–343.3
2092270.6248.3–291.9321.5294.4–342.4
2093272.4254.3–289.2323.1297.8–341.2
2094274254.8–290.2323.1296.5–341.1
2095273.5251.8–291.6325.6299.1–343.7
2096273.9252.1–292.5321.8296.2–344.1
2097270.8246–292.1321.5292.6–342
2098271.1248.3–290.6324.2295.1–342.8
2099271.8250.5–291.1322.8293.7–344.6
2100273.4254–291.9324.1292.1–344.1

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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