Congo - Kinshasa vs Mexico

Congo - Kinshasa vs Mexico: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 144.8 nights, or 2.4 times that in Mexico.

nights a year · CMIP6

Congo - Kinshasa vs Mexico: Tropical nightsTropical nights in 2014: 248.5 nights in Congo - Kinshasa and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 144.8 nights, or 2.4 times that in Mexico.
Congo - KinshasaMexicoCMIP6 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 Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearCongo - KinshasaMexico
2014248.5103.7
2013249.2103.9
2012250.9102.8
2011248.7102.9
2010243.5101.5
2009243101.8
2008239.7100.1
2007237.799.1
200623999.8
2005237.399.5
2004238.599.4
2003239.398.3
2002236.599.1
2001242.598.7
2000233.597.9
1999226.296.6
1998230.695.8
1997226.695.9
1996218.693.8
1995217.292.7
1994211.990.7
1993201.589
1992197.688.5
1991220.193.4
1990225.494.9
1989218.493
1988216.792.1
1987216.692
1986216.890.2
1985206.190
1984205.988
1983204.386.7
1982204.588.7
1981215.291.5
1980211.490.1
1979208.590.8
1978202.689
1977206.589
1976201.989.1
197519986.8
197420487.9
1973208.488.6
1972202.587.7
1971196.386.8
1970201.786.1
1969197.387.5
196819987.1
1967188.886.7
1966194.786.4
196518984.9
1964177.384.7
1963178.587.1
1962203.288
1961203.989.5
1960209.889.7
1959203.389.6
1958204.389.1
195720489
1956197.688.5
1955200.588.2
195420188.4
1953204.688.6
1952201.987.8
1951204.889.4
1950200.888.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCongo - KinshasaMexico
2015256.6217.3–277.7106.192.9–118.4
2016247.7213.3–269.3107.695–120
2017257.4226.6–278.3108.696.3–119.7
2018258.8228.1–276.810997.1–120.4
2019255.8222.6–278.7110.396.4–123
2020259.4227.4–282.3109.696.8–121.8
2021262.6234.7–283.8111.296.9–124.1
2022264.8235.1–288.5109.796–121.7
2023263.9236.8–287.2111.898.6–125.3
2024270.9237.9–290112.298.2–126.2
2025266.1230.6–292.211298.8–125.8
2026267.4226.8–294.5113.999.5–126.4
2027268.6230.6–293.6112.999.5–128.3
2028271.7239.7–295.9115.2101.9–127.9
2029275.9249.3–296.6115.6101.9–127.9
2030270.4241.7–296.1115.9101.7–128.4
2031279.4246.6–297.5116.1100.9–129.9
2032277.9249.4–302.3116.1102.5–129.1
2033276.9245.9–301.6117.5102.5–131.1
2034276.7247.4–305.6117.2104.1–130.3
2035281243.7–305.1116.4103.1–130.3
2036278.3244.7–304.9117.8105.1–131
2037286.9256.1–308.6118.6104.3–131.7
2038289261.5–307.1121107.5–133.4
2039284.7253.4–307.3121.3107–135.6
2040284.5254.7–311.5121.9108.1–135.1
2041289.9258.4–310.8121.3105.3–134.6
2042286.9254.1–314.3122.7107.7–137.1
2043285.9253–313122.4108.1–137.5
2044288.3253.6–312.5121.9108–135.6
2045289.4260.1–314.1123.1108.8–139.2
2046298.3261.3–317.3123.8109.9–139.4
2047298.5268.2–317.8125.6111.9–139.4
2048299.1268–320.8126.3113–140.3
2049300.3269.6–320.4127111.2–140.8
2050297.8267.2–320.6128.1112.6–142.5
2051298.4272.3–323.1127.2113.4–140.8
2052300.2271.5–324126.2112.5–141.1
2053298.7265.5–322.6128.4111.5–142.7
2054300.6269.6–322.8128.1113.1–142.3
2055301.9274.9–325.6129114.4–144.7
2056302.1266.2–328.3129.5114.3–143.8
2057305.1274.4–326.5130.3113.5–145.9
2058305.3274.1–327.1128.8114.1–144.5
2059305.4279–329.6129.5114.5–144.5
2060310.7273.5–330.2131.4115.5–146.5
2061307266.1–329.8131.3118.4–146.8
2062308.8269.1–332130.8115.1–146.3
2063308.4277.6–328.4131.2115.6–147.9
2064310.6278.4–329.6132.2116.5–147.8
2065311.9282.4–331.2133.1115.8–148.6
2066310.4284.2–330.3133.3117.2–149.4
2067308.8275.9–334133.3117–150.3
2068313.9280.8–334.6134.6117.4–150.5
2069312.1270.6–332.7134.4117.8–150.9
2070309.6278–334134.2116.7–151.8
2071312.6285–336.5136.3120.8–152.7
2072317287.7–334.6137.2119.9–153.1
2073316.2291.2–337.1136.1119.1–153.6
2074311.6284.5–334.9136119.7–152.2
2075312.3279.3–335.2135.2118.5–151.8
2076315.9288.7–337.1136.3117.4–154.7
2077318.5292.6–338.2136.8119.6–152.8
2078315287.3–337.1137.1118.3–154.2
2079314.8286.3–336138.1121.3–157.1
2080318.5286.8–337.8137.6120.5–157.9
2081318.4287.8–336.7137.8120.7–154.7
2082318.7289.8–336.5138.7121.6–155.2
2083317.4290.6–340.9139.2119.3–158.8
2084321.6293.8–339.8140.3123.4–157.5
2085324.4294.3–341.4139.2120.9–157.2
2086319290.7–340.7139.8121–157.8
2087318.3291.9–339.6139.5121.5–157.4
2088320.9292.9–340141121.8–159.9
2089322.1293.9–339.8140.4121.7–158.9
2090320.4295.5–341.7141.2123–160.7
2091325.4294.3–343.3141.8123–161.6
2092321.5294.4–342.4141.3122.5–159.3
2093323.1297.8–341.2141.4124.3–161
2094323.1296.5–341.1142123.3–159.6
2095325.6299.1–343.7143.5124–160.7
2096321.8296.2–344.1142.3125–161.3
2097321.5292.6–342141.2123.2–160
2098324.2295.1–342.8142.2122.5–162
2099322.8293.7–344.6141.8122.4–160.7
2100324.1292.1–344.1142.8124.3–160.8

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

Congo - Kinshasa vs Mexico

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