Ghana vs Uganda

Ghana vs Uganda: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 232.1 nights, or 2.86 times that in Uganda.

Watch it change on the map

nights a year · CMIP6

Ghana vs Uganda: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 232.1 nights, or 2.86 times that in Uganda.
GhanaUgandaCMIP6 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 Ghana at 364.2 nights and Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaUganda
2014356.8124.7
2013355.8124
2012356.8122.2
2011355.7125.7
2010355.9122.5
2009353.2114.8
2008353.1114.1
2007353.8111.2
2006353.9117.4
2005352.7113.8
2004352.4114.6
2003353.8114.4
2002353.2114.4
2001354.9117.1
2000352.2109
1999350.2105.5
1998350.6105
1997350.5106.1
1996349.1102.1
1995348.999.9
1994347.994.6
1993347.190.8
1992344.589.9
1991348.4102.1
1990352.1103.8
1989347.999.1
1988347.298.6
1987346.698.3
1986348.499.2
1985347.292.1
1984346.294.6
1983344.890.4
1982344.894.4
1981346.898.5
1980344.596.3
1979346.493.9
1978343.991
1977345.995.1
1976344.592
1975345.389.6
197434391.8
197334492.8
1972344.490
1971342.787.1
197034488.8
1969342.588
196834287.3
1967342.782.3
1966342.182.5
196534282.2
196434078.2
1963342.880.3
1962345.988.5
1961344.190.7
1960345.793.2
1959344.691.3
1958344.688.7
1957344.190.1
1956343.588.8
1955342.589
1954346.889.5
1953344.589
1952341.989.6
1951343.891.1
1950340.387.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaUganda
2015356341.5–361.7131.598.6–164.1
2016356.5341.4–361.512398.5–154.1
2017355.2341.3–361.6133.7108.6–162.7
2018355.8345.7–362.1134.2102.5–164
2019353.9343.6–362.3131.3104.8–166.2
2020356341.7–362.9140.7102.6–171.5
2021356.9345.4–362.7137.9112.9–175.4
2022358.2342–362.6140116.2–169.9
2023356.7344–361.7140.4114.2–184.8
2024358.6347.7–363.4151.1113.5–186.7
2025357.1347.2–361.9143108.5–176.4
2026357.2343.5–362.7144.6109.7–179.6
2027357.5344.3–362.4147.6116–175.4
2028359.5348.6–363.6151.6120.2–179.6
2029358.8349–363.1155.2127.3–178.6
2030359.6350.6–363.2150.4117.6–185.1
2031360.8351–364161.6132–187.2
2032359.7346.4–363.9159.1134.2–190.5
2033360.2349–364.1158.9123.4–200.6
2034359.4350.8–363.1161.5135.6–202.5
2035360.5350.8–364164.9126.3–193
2036360.9350.6–364.9158.5127.7–195.4
2037361350.5–364168.3138.2–207.3
2038361.4354.4–363.9173.8139.7–206.2
2039361.3352.3–364.5171.2130.1–205
2040361.5352.2–365.2170.4134.1–207.4
2041361.3351.7–364.3176.3144.6–208
2042360.6352.3–364.3175137.8–214.3
2043360.6351.8–364173.6132.8–207.6
2044361.6353.6–364.8176.1136.8–206.9
2045361.1353.2–364.4178.9138.3–217.7
2046361.9353.1–364.1191.9136.6–235
2047362.3350.3–364.5187.7156.6–225.3
2048362.1354.7–365.3189.3151.5–227.4
2049362.6354–364.4195.1154.9–233.6
2050362.2355.3–364.4191150.7–236.4
2051362.3355.7–364.6191.2154.4–228.2
2052362.1354.2–365192.6157.7–231.7
2053362.4354.1–364.5194.5149.7–233.5
2054362.9354.8–364.6199156.3–236.8
2055362.5355.1–364.5201.3151.7–240.7
2056363.3355.6–365.7198.9156.9–240.2
2057363.2355.9–364.8200165.5–244.7
2058363356.3–364.9208.8156.5–248.3
2059362.9356.2–364.8212.7171.1–254
2060362.9354.1–365.7212.6160.3–253.1
2061363.2354–364.9208.9162.4–258.1
2062363.1355–364.9206.4159.1–267.6
2063363.2355.5–364.9209.3168.5–246.3
2064363.3356.6–365.6210.6166.2–253.8
2065363.7357.8–364.9214.5167.8–261.1
2066362.7356.9–364.8211.9171.8–256.1
2067363.6354.1–364.9208.4168.3–269.8
2068364.1356.3–365.8216.4169.7–268.7
2069362.8356.3–364.9213170.3–268.1
2070363.3356.2–364.9216.4176.4–270.9
2071363.5355.3–364.9215.5174.6–273.5
2072364.1355.6–365.8227.3184.1–272.3
2073363.6355.1–364.8230.4189.3–278.5
2074363.4355.4–364.8220.7176.9–277
2075363.4357–364.9217.7167–274.2
2076363.8358.4–365.8228.1178.9–279
2077363.8357.8–365229.5189.6–280.5
2078363.9356.6–364.9225.6187.8–276.4
2079364.2358–365231.9168.8–277.7
2080364.3357.8–366232.8182.6–283.1
2081363.8357.1–365227.9187.6–279.3
2082363.5357.1–364.9233.1185.6–279.4
2083364.1358.3–365232.2175.7–297
2084364358.5–365.9237.2185.5–288.8
2085364.1358.3–365239.5192.4–291.7
2086364.1357.8–365236.2189.8–289.4
2087364.1357.9–365239.4188.9–294
2088364.2356.4–365.9236.8193.6–288.9
2089363.9357.6–365238.8193.8–293.7
2090364.2357.6–365237.7190.1–301.5
2091363.9357.6–364.9251188.7–300.1
2092364.4356.6–366243.4194.9–297.8
2093364.4358.2–365244.4199.2–296.8
2094364.1357.9–365245.6202.9–299.8
2095364358.2–365253.2202.4–306.1
2096363.9358–366241.4196.5–304
2097363.9356.3–364.9243.1194–296.6
2098363.7357.8–364.9242.9199–302.3
2099363.9358.6–365247.3194.4–306.1
2100364.2357.6–365245.3195.5–307.2

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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