Niger vs South Sudan

Niger vs South Sudan: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 122.1 nights, or 1.55 times that in Niger.

Watch it change on the map

nights a year · CMIP6

Niger vs South Sudan: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 343.7 nights in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 122.1 nights, or 1.55 times that in Niger.
NigerSouth SudanCMIP6 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 Niger at 251.1 nights and South Sudan at 361.1 nights in 2100.

Every year

nights a year · CMIP6

YearNigerSouth Sudan
2014221.6343.7
2013216.1342.1
2012220.8342.8
2011220.1343.3
2010219.1341.9
2009217.2338.8
2008216.8339.8
2007216.9336.9
2006214.3339
2005213.6336.8
2004213.6336.6
2003215.5338.9
2002214.6336.6
2001213.4338.7
2000211.2334.6
1999210.4331.8
1998207.7333.6
1997211.5334.5
1996208.6330.7
1995208.3329.6
1994207.8328.2
1993202.6321.9
1992203.4321.5
1991209.4329.1
1990208.1332.6
1989206329
1988203330.5
1987204.9328.8
1986206.8330.4
1985203.9327.1
1984201.8324.1
1983200.5322.8
1982201.9322.8
1981204.3329.9
1980200.6326.5
1979200.5325.3
1978202324.1
1977203.8325
1976201.7322.6
1975199320.8
1974200.6320.1
1973202.6325.4
1972200.7324.7
1971200.8319.9
1970199.8322.3
1969196.1318.5
1968200.3318.3
1967196.6315.6
1966198.2317.2
1965199316.5
1964199.2312.9
1963196.7309.8
1962201.1323.9
1961198.2323.3
1960203.2324.8
1959201.6321.5
1958199.2320.2
1957201.1322.1
1956199.6319.5
1955199.7317
1954201.1322.4
1953196.5321.6
1952197.9322.4
1951199.8323.9
1950200.8318.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerSouth Sudan
2015218.8202.8–235.8342.7327.5–353.3
2016217.7201.8–230.6342.1325.1–351.1
2017222.4205.2–237.4344.5326.9–353.7
2018220.5206.3–238.8344.1324.9–353.7
2019219.1201.8–238.1344.5324–354.2
2020220.9206.9–234.7344.9326.9–355.6
2021222.8208.2–240.2347.3329.2–355.3
2022226.3209.7–239.2344.5326.1–355.5
2023223.2206.6–238.4347.2329.2–357
2024228.4214.3–242.9350.4331.6–357.9
2025226.7211.2–241347.1330.2–357.7
2026226.3210–243.1347.6329.5–356.7
2027228.5209.9–241.1346327.1–356.1
2028227.1211.9–240.2349.4333.5–357.3
2029230.4213.3–247.1348.6337.5–355.6
2030226.4211.6–242.2349.3335.5–357.2
2031230.1210.8–247.1351.3336.3–357.6
2032228.7212.3–241348.6333.6–357.7
2033229.9214.9–245.4350.8336.7–359.4
2034229.5212.1–244.9350.2337.5–358.3
2035232.3217.5–248352.3331–359.5
2036230.2213.7–244.6352340.8–359.1
2037233.2215.1–246.5351.9337.4–359.5
2038234.3218.2–249.7354.3341.9–359.6
2039231214.2–247.1353.8340.6–360
2040230.8214.8–247.5353.5338.7–360.2
2041232.6218.6–252.9353.2336.9–360.2
2042233.8216.2–250.5351.9336.9–360.3
2043232.5217.8–245.8353.2336.2–359.5
2044233.8218.2–250.1353.7339.9–361.1
2045233.6218.1–249.7353.7342.2–360.6
2046234.3217–250.2355.4342.2–361
2047238.4224.3–253.1355.7344–361.2
2048238221.4–254354.7342.5–361.6
2049237.7217.4–253356.7346.4–361.1
2050238.2220.7–254.5356.8345.6–361.7
2051236.3220.6–254.7356345.4–361.8
2052239.5224.3–255.8355.3343.8–362.2
2053236.3223.9–255.6355.5343.4–361.7
2054239.4220.2–257.9356.9345.2–362.1
2055238.6223.7–254.7356.9345–361.7
2056239214.7–260.3356.7345.7–363.1
2057240.4223–256.3358.4349.2–362.6
2058238.2220.2–255.7357.7345–361.8
2059243.9224.6–262.7358.6348.4–362.6
2060239.8222.6–260357.7344.7–363.8
2061242.5224.9–258.5358.2345.8–362.7
2062241.6222.4–259.8357.4345.2–363.1
2063241.3220.9–255.2358.8347.3–362.6
2064244.4225.9–259.5358.9348.4–363.3
2065242.8226.5–262.4359.1351.1–362.9
2066245.6227–263.5359.2350.6–363.1
2067240.7224.9–262358.6347.6–363.3
2068244224.3–265.4359.9350.3–364.4
2069243.9225.5–261.6357.6347–363.1
2070243.1225.6–261.3359.5350.4–363
2071246.1230.3–264359.6350.5–363.2
2072247.9229.9–263.7360.2348.4–364.2
2073243.4225.4–262.8359.3350.3–363.5
2074243.2224.4–264.6359.5348–363.3
2075244.3230.2–263.3359.9348.5–363.4
2076246.5228.5–266.6359.4350.5–364
2077250.1232.3–267.4359.9352.2–363.7
2078249.2230.8–264.5360351.2–363.4
2079244.4228.7–263.8359.8350.9–363.3
2080248.8230.4–267361.3349.8–364.6
2081247227.8–268.1360.4350.5–363.9
2082247230.6–264.4360.3351–363.3
2083247.3230.7–267.5360351.1–363.8
2084247.7229.4–265.2360.8350.8–364.9
2085248.9227–264.2361352.3–363.7
2086250.4230.9–269.5360.4352.5–364.1
2087245.8226.2–266.9359.7347.8–363.8
2088248.3226.7–271.1360.3352.2–364.7
2089251.9232.5–269.5360.2352.3–363.8
2090249.7227.7–267.4360.2351.3–363.9
2091248.9230.5–272.2360.9351.6–364.1
2092251229.8–274360.7352.4–364.7
2093249.9234.8–267361.6354.1–363.9
2094252.2234–267.5361.3353.8–364.3
2095251.1233–270.7361.5353.2–364
2096250.8234.8–270.4361.1352.8–365.1
2097250.2227.8–270.8360.7351.9–364.2
2098250.1228.1–268.5361.5352.6–364.1
2099251.9232.2–268.2361.2352.4–364.1
2100251.1234.5–271.5361.1352.6–364.2

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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