South Sudan vs Uganda

South Sudan vs Uganda: Tropical nights

Tropical nights in 2014: 343.7 nights in South Sudan and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 219 nights, or 2.76 times that in Uganda.

nights a year · CMIP6

South Sudan vs Uganda: Tropical nightsTropical nights in 2014: 343.7 nights in South Sudan and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 219 nights, or 2.76 times that in Uganda.
South SudanUgandaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts South Sudan at 361.1 nights and Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearSouth SudanUganda
2014343.7124.7
2013342.1124
2012342.8122.2
2011343.3125.7
2010341.9122.5
2009338.8114.8
2008339.8114.1
2007336.9111.2
2006339117.4
2005336.8113.8
2004336.6114.6
2003338.9114.4
2002336.6114.4
2001338.7117.1
2000334.6109
1999331.8105.5
1998333.6105
1997334.5106.1
1996330.7102.1
1995329.699.9
1994328.294.6
1993321.990.8
1992321.589.9
1991329.1102.1
1990332.6103.8
198932999.1
1988330.598.6
1987328.898.3
1986330.499.2
1985327.192.1
1984324.194.6
1983322.890.4
1982322.894.4
1981329.998.5
1980326.596.3
1979325.393.9
1978324.191
197732595.1
1976322.692
1975320.889.6
1974320.191.8
1973325.492.8
1972324.790
1971319.987.1
1970322.388.8
1969318.588
1968318.387.3
1967315.682.3
1966317.282.5
1965316.582.2
1964312.978.2
1963309.880.3
1962323.988.5
1961323.390.7
1960324.893.2
1959321.591.3
1958320.288.7
1957322.190.1
1956319.588.8
195531789
1954322.489.5
1953321.689
1952322.489.6
1951323.991.1
1950318.687.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth SudanUganda
2015342.7327.5–353.3131.598.6–164.1
2016342.1325.1–351.112398.5–154.1
2017344.5326.9–353.7133.7108.6–162.7
2018344.1324.9–353.7134.2102.5–164
2019344.5324–354.2131.3104.8–166.2
2020344.9326.9–355.6140.7102.6–171.5
2021347.3329.2–355.3137.9112.9–175.4
2022344.5326.1–355.5140116.2–169.9
2023347.2329.2–357140.4114.2–184.8
2024350.4331.6–357.9151.1113.5–186.7
2025347.1330.2–357.7143108.5–176.4
2026347.6329.5–356.7144.6109.7–179.6
2027346327.1–356.1147.6116–175.4
2028349.4333.5–357.3151.6120.2–179.6
2029348.6337.5–355.6155.2127.3–178.6
2030349.3335.5–357.2150.4117.6–185.1
2031351.3336.3–357.6161.6132–187.2
2032348.6333.6–357.7159.1134.2–190.5
2033350.8336.7–359.4158.9123.4–200.6
2034350.2337.5–358.3161.5135.6–202.5
2035352.3331–359.5164.9126.3–193
2036352340.8–359.1158.5127.7–195.4
2037351.9337.4–359.5168.3138.2–207.3
2038354.3341.9–359.6173.8139.7–206.2
2039353.8340.6–360171.2130.1–205
2040353.5338.7–360.2170.4134.1–207.4
2041353.2336.9–360.2176.3144.6–208
2042351.9336.9–360.3175137.8–214.3
2043353.2336.2–359.5173.6132.8–207.6
2044353.7339.9–361.1176.1136.8–206.9
2045353.7342.2–360.6178.9138.3–217.7
2046355.4342.2–361191.9136.6–235
2047355.7344–361.2187.7156.6–225.3
2048354.7342.5–361.6189.3151.5–227.4
2049356.7346.4–361.1195.1154.9–233.6
2050356.8345.6–361.7191150.7–236.4
2051356345.4–361.8191.2154.4–228.2
2052355.3343.8–362.2192.6157.7–231.7
2053355.5343.4–361.7194.5149.7–233.5
2054356.9345.2–362.1199156.3–236.8
2055356.9345–361.7201.3151.7–240.7
2056356.7345.7–363.1198.9156.9–240.2
2057358.4349.2–362.6200165.5–244.7
2058357.7345–361.8208.8156.5–248.3
2059358.6348.4–362.6212.7171.1–254
2060357.7344.7–363.8212.6160.3–253.1
2061358.2345.8–362.7208.9162.4–258.1
2062357.4345.2–363.1206.4159.1–267.6
2063358.8347.3–362.6209.3168.5–246.3
2064358.9348.4–363.3210.6166.2–253.8
2065359.1351.1–362.9214.5167.8–261.1
2066359.2350.6–363.1211.9171.8–256.1
2067358.6347.6–363.3208.4168.3–269.8
2068359.9350.3–364.4216.4169.7–268.7
2069357.6347–363.1213170.3–268.1
2070359.5350.4–363216.4176.4–270.9
2071359.6350.5–363.2215.5174.6–273.5
2072360.2348.4–364.2227.3184.1–272.3
2073359.3350.3–363.5230.4189.3–278.5
2074359.5348–363.3220.7176.9–277
2075359.9348.5–363.4217.7167–274.2
2076359.4350.5–364228.1178.9–279
2077359.9352.2–363.7229.5189.6–280.5
2078360351.2–363.4225.6187.8–276.4
2079359.8350.9–363.3231.9168.8–277.7
2080361.3349.8–364.6232.8182.6–283.1
2081360.4350.5–363.9227.9187.6–279.3
2082360.3351–363.3233.1185.6–279.4
2083360351.1–363.8232.2175.7–297
2084360.8350.8–364.9237.2185.5–288.8
2085361352.3–363.7239.5192.4–291.7
2086360.4352.5–364.1236.2189.8–289.4
2087359.7347.8–363.8239.4188.9–294
2088360.3352.2–364.7236.8193.6–288.9
2089360.2352.3–363.8238.8193.8–293.7
2090360.2351.3–363.9237.7190.1–301.5
2091360.9351.6–364.1251188.7–300.1
2092360.7352.4–364.7243.4194.9–297.8
2093361.6354.1–363.9244.4199.2–296.8
2094361.3353.8–364.3245.6202.9–299.8
2095361.5353.2–364253.2202.4–306.1
2096361.1352.8–365.1241.4196.5–304
2097360.7351.9–364.2243.1194–296.6
2098361.5352.6–364.1242.9199–302.3
2099361.2352.4–364.1247.3194.4–306.1
2100361.1352.6–364.2245.3195.5–307.2

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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