Cameroon vs Uganda

Cameroon vs Uganda: Tropical nights

Tropical nights in 2014: 238.7 nights in Cameroon and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 114 nights, or 1.91 times that in Uganda.

Watch it change on the map

nights a year · CMIP6

Cameroon vs Uganda: Tropical nightsTropical nights in 2014: 238.7 nights in Cameroon and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 114 nights, or 1.91 times that in Uganda.
CameroonUgandaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cameroon has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cameroon at 324.2 nights and Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearCameroonUganda
2014238.7124.7
2013236.7124
2012242.2122.2
2011237.6125.7
2010230.4122.5
2009226.6114.8
2008223.1114.1
2007222.1111.2
2006220.1117.4
2005216.1113.8
2004217.6114.6
2003221114.4
2002215.5114.4
2001223117.1
2000210109
1999200.5105.5
1998203.5105
1997202106.1
1996190102.1
1995187.399.9
1994183.194.6
1993165.290.8
1992156.789.9
1991192.6102.1
1990200.7103.8
1989187.599.1
1988185.898.6
1987182.798.3
1986188.999.2
1985173.292.1
1984172.994.6
1983165.590.4
1982176.394.4
1981182.698.5
1980173.696.3
1979175.893.9
1978172.891
1977175.795.1
1976164.592
1975159.589.6
1974166.891.8
1973170.492.8
1972165.290
1971161.387.1
1970164.488.8
196916088
1968157.887.3
1967147.982.3
1966156.582.5
1965151.682.2
1964143.178.2
1963145.980.3
1962171.888.5
1961167.290.7
1960176.293.2
1959166.591.3
1958169.288.7
1957168.290.1
195616088.8
1955163.789
1954167.689.5
1953168.289
1952165.789.6
1951172.891.1
1950162.887.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCameroonUganda
2015242.2196.9–270.8131.598.6–164.1
2016237.7192.1–259.912398.5–154.1
2017245.8205.7–271.3133.7108.6–162.7
2018245.7208–270.5134.2102.5–164
2019243.7200.2–275.6131.3104.8–166.2
2020246.4210.4–278140.7102.6–171.5
2021255.2220.2–279.6137.9112.9–175.4
2022255.8221–285.7140116.2–169.9
2023254.5221.7–284.1140.4114.2–184.8
2024263225.8–286.8151.1113.5–186.7
2025257.3222.7–293.9143108.5–176.4
2026260.4211.9–292144.6109.7–179.6
2027258.5223.8–291.5147.6116–175.4
2028266.9235.5–294.7151.6120.2–179.6
2029269.9242.3–293.5155.2127.3–178.6
2030266.6229–293.5150.4117.6–185.1
2031273.2229.9–298.5161.6132–187.2
2032269.8240.6–296.2159.1134.2–190.5
2033271.8235.6–303.4158.9123.4–200.6
2034268.1239.2–299.1161.5135.6–202.5
2035277.5241.5–302.7164.9126.3–193
2036275.7235.1–301.3158.5127.7–195.4
2037283.5252.3–305.9168.3138.2–207.3
2038285.8258–307.9173.8139.7–206.2
2039280.9250.4–305.8171.2130.1–205
2040279.5252.1–310.6170.4134.1–207.4
2041284.5254.6–309.9176.3144.6–208
2042284.8253.6–313.2175137.8–214.3
2043281.2251.4–309.8173.6132.8–207.6
2044283.8244.4–312.3176.1136.8–206.9
2045286.8253.7–311.4178.9138.3–217.7
2046296.1260.6–318.1191.9136.6–235
2047294.3260.7–316.6187.7156.6–225.3
2048297.3265.6–318.1189.3151.5–227.4
2049298.3267.8–318.1195.1154.9–233.6
2050296.9267.9–322.7191150.7–236.4
2051297.8266.7–319.9191.2154.4–228.2
2052298.7270.1–322.3192.6157.7–231.7
2053297.7261.3–321.7194.5149.7–233.5
2054301.2268.2–324.6199156.3–236.8
2055301.3276.5–324.3201.3151.7–240.7
2056302.1270.4–329.2198.9156.9–240.2
2057305.4277.7–327.4200165.5–244.7
2058302.6272.1–325.2208.8156.5–248.3
2059306.2279.6–330.1212.7171.1–254
2060306.1276.1–331.1212.6160.3–253.1
2061304.4267.2–329.7208.9162.4–258.1
2062307.6266.2–332.2206.4159.1–267.6
2063309.1272.5–328.8209.3168.5–246.3
2064308.5278.7–331210.6166.2–253.8
2065311.3284.1–329.6214.5167.8–261.1
2066311.9284–332.7211.9171.8–256.1
2067310.1271.7–335.6208.4168.3–269.8
2068312.9278.7–335216.4169.7–268.7
2069310.4278.4–333.4213170.3–268.1
2070309.8281.2–334.9216.4176.4–270.9
2071316.4282.3–336215.5174.6–273.5
2072315.4289.2–335.3227.3184.1–272.3
2073314282.6–339.5230.4189.3–278.5
2074311.7281.9–336.8220.7176.9–277
2075314.8285.3–335.3217.7167–274.2
2076315.2284.7–338.4228.1178.9–279
2077318.2289.7–341.4229.5189.6–280.5
2078315.8286.4–338.5225.6187.8–276.4
2079317.7287.8–337.5231.9168.8–277.7
2080321.5285.9–341.7232.8182.6–283.1
2081318.7290–339227.9187.6–279.3
2082316.2289–337.7233.1185.6–279.4
2083317.7288.2–341.6232.2175.7–297
2084318.5284.5–342.1237.2185.5–288.8
2085323.4294–342.7239.5192.4–291.7
2086319.5292.3–343236.2189.8–289.4
2087318292.7–342.5239.4188.9–294
2088320.4288.1–342236.8193.6–288.9
2089320.1289.6–340.7238.8193.8–293.7
2090322.4292.8–342.6237.7190.1–301.5
2091322.6289.9–345251188.7–300.1
2092324.9291.6–343.6243.4194.9–297.8
2093322.3299.7–342.6244.4199.2–296.8
2094324299.3–343.4245.6202.9–299.8
2095326.4300.2–346.4253.2202.4–306.1
2096322.1294.4–346.4241.4196.5–304
2097320.9287.4–342.5243.1194–296.6
2098323.1293.8–344.4242.9199–302.3
2099322.6295.7–344.2247.3194.4–306.1
2100324.2293.6–346.6245.3195.5–307.2

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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