South Sudan vs Tanzania

South Sudan vs Tanzania: Tropical nights

Tropical nights in 2014: 343.7 nights in South Sudan and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 237.4 nights, or 3.23 times that in Tanzania.

nights a year · CMIP6

South Sudan vs Tanzania: Tropical nightsTropical nights in 2014: 343.7 nights in South Sudan and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 237.4 nights, or 3.23 times that in Tanzania.
South SudanTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearSouth SudanTanzania
2014343.7106.3
2013342.1105.5
2012342.8108.4
2011343.3109
2010341.9103.9
2009338.8101.1
2008339.8100.3
2007336.999.5
2006339100.4
2005336.898.7
2004336.6100.4
2003338.999.6
2002336.698.4
2001338.7101.5
2000334.694.9
1999331.894.2
1998333.696.8
1997334.593.5
1996330.789.6
1995329.688.5
1994328.285.4
1993321.981.2
1992321.580.1
1991329.189.6
1990332.691.1
198932989.1
1988330.587.6
1987328.888.5
1986330.489.4
1985327.183
1984324.183.1
1983322.882.1
1982322.884.8
1981329.988
1980326.585
1979325.385.5
1978324.182.9
197732584.1
1976322.681
1975320.880.8
1974320.182.2
1973325.483.6
1972324.781.4
1971319.980.7
1970322.381.8
1969318.579.5
1968318.379.1
1967315.677.5
1966317.278.1
1965316.578
1964312.973.8
1963309.873.1
1962323.981.1
1961323.382.6
1960324.883.9
1959321.581.4
1958320.282.1
1957322.180.9
1956319.580
195531781.6
1954322.481.4
1953321.680.6
1952322.481.4
1951323.982.1
1950318.680.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth SudanTanzania
2015342.7327.5–353.3114.895.2–137.4
2016342.1325.1–351.1108.391.6–125.6
2017344.5326.9–353.7114.893.6–137.8
2018344.1324.9–353.7116.497.4–137.1
2019344.5324–354.2113.495.2–133.2
2020344.9326.9–355.6119.396.2–143.5
2021347.3329.2–355.3119.5100.9–147.1
2022344.5326.1–355.5124.4105.3–147.4
2023347.2329.2–357122.1102.1–147.8
2024350.4331.6–357.9126.2100–150.1
2025347.1330.2–357.7124.6100.9–154
2026347.6329.5–356.7126.999.1–155.6
2027346327.1–356.1128102.9–147.7
2028349.4333.5–357.3129.9106.4–152.1
2029348.6337.5–355.6134.1111–156.5
2030349.3335.5–357.2129.4106.4–151.1
2031351.3336.3–357.6136.4115.9–158.4
2032348.6333.6–357.7135.1114–166.8
2033350.8336.7–359.4135.2110.9–161.9
2034350.2337.5–358.3134.7112.5–166.3
2035352.3331–359.5140.2114.6–165
2036352340.8–359.1137.8113.3–165.5
2037351.9337.4–359.5142.9121.5–168.9
2038354.3341.9–359.6147.9124.3–169.3
2039353.8340.6–360144.3117.6–171.3
2040353.5338.7–360.2140.5117–178
2041353.2336.9–360.2149.1121.7–175.6
2042351.9336.9–360.3146.3120.5–185.3
2043353.2336.2–359.5144.6117–173
2044353.7339.9–361.1147.7121.2–175.8
2045353.7342.2–360.6150.1125.2–183.4
2046355.4342.2–361161.5128.6–192.2
2047355.7344–361.2160.2129.7–194.4
2048354.7342.5–361.6158.8132.7–193.1
2049356.7346.4–361.1157.6131.1–196
2050356.8345.6–361.7159.7127.8–192
2051356345.4–361.8163.2135.5–197.8
2052355.3343.8–362.2161.9136.2–199.1
2053355.5343.4–361.7160.6127.5–197.7
2054356.9345.2–362.1163.2131.5–200.2
2055356.9345–361.7167.4137–208.3
2056356.7345.7–363.1166.4130.8–209.7
2057358.4349.2–362.6168134.6–208.3
2058357.7345–361.8168.7134.9–210.3
2059358.6348.4–362.6174.7144.9–219.5
2060357.7344.7–363.8181.7138.1–219.8
2061358.2345.8–362.7171.8135.5–218.1
2062357.4345.2–363.1177.5139.9–224
2063358.8347.3–362.6181.4140.1–213.8
2064358.9348.4–363.3185.3140.1–215.2
2065359.1351.1–362.9183.5141.1–221.8
2066359.2350.6–363.1181.9146.3–219.3
2067358.6347.6–363.3178.8138.8–229.2
2068359.9350.3–364.4186144.2–228.4
2069357.6347–363.1183.7141.7–225.3
2070359.5350.4–363180.7140.4–228.2
2071359.6350.5–363.2184.9146.9–235.2
2072360.2348.4–364.2191.3155–226.1
2073359.3350.3–363.5191.6152.4–235.6
2074359.5348–363.3183.3149.7–231.7
2075359.9348.5–363.4183.8144.8–233
2076359.4350.5–364191.1150.9–233.2
2077359.9352.2–363.7191.3152.6–238.2
2078360351.2–363.4189156.6–233.8
2079359.8350.9–363.3190.5147–237.3
2080361.3349.8–364.6197.3150.7–241.2
2081360.4350.5–363.9195.6153.4–237.4
2082360.3351–363.3194.5157.3–237.3
2083360351.1–363.8193.2151–249.8
2084360.8350.8–364.9201.1152.2–246.7
2085361352.3–363.7204.2162.3–252.3
2086360.4352.5–364.1195156–248.7
2087359.7347.8–363.8196.7160.8–244.5
2088360.3352.2–364.7208.4154.7–246.9
2089360.2352.3–363.8201.3158.6–248.2
2090360.2351.3–363.9197.9160.7–253.6
2091360.9351.6–364.1210161.6–256
2092360.7352.4–364.7205.8158.3–253.6
2093361.6354.1–363.9207.2161.2–251.9
2094361.3353.8–364.3207.9161.3–250.6
2095361.5353.2–364214.2166.4–258.5
2096361.1352.8–365.1205.3159.8–257.4
2097360.7351.9–364.2206.6158.4–256.8
2098361.5352.6–364.1209.1161–258.3
2099361.2352.4–364.1208.5160.1–256
2100361.1352.6–364.2208158.6–258.6

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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