Niger vs South Sudan

Niger vs South Sudan: Days above 35 °C

Days above 35 °C in 2014: 209.1 days in Niger and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 93.9 days, or 1.82 times that in South Sudan.

days a year · CMIP6

Niger vs South Sudan: Days above 35 °CDays above 35 °C in 2014: 209.1 days in Niger and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 93.9 days, or 1.82 times that in South Sudan.
NigerSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger 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 242.2 days and South Sudan at 172 days in 2100.

Every year

days a year · CMIP6

YearNigerSouth Sudan
2014209.1115.2
2013205.4111.2
2012206108.8
2011207.1112.9
2010205.9112.8
2009204.2104.3
2008204.4104.2
2007201.3100.7
2006198.7105.3
2005200.6102.8
2004199.3103.4
2003201.3102.5
2002202.4104.6
2001201.1108.9
2000197.999.1
1999196.997.8
1998192.797.6
1997197.899.2
1996194.594
1995193.794
1994193.189.9
1993186.184.6
1992187.187.9
1991195.995.2
1990192.794
1989192.993.6
1988190.498
1987190.297.7
1986196.397.9
1985189.189.8
1984189.690.8
1983189.790.8
1982187.589.3
1981190.996.2
1980191.897.5
1979189.195.4
1978186.389.1
1977190.892.9
1976189.586.7
197518591.5
1974184.890
1973192.490.1
1972189.889.8
1971186.784.8
1970188.987.8
1969184.390.8
1968188.685.5
1967183.684.3
1966185.487
1965185.782.2
1964181.479.2
1963179.484.4
196218993.5
1961186.590.4
1960194.192
1959190.290.1
1958186.888
195719490.7
1956188.385.5
1955188.887.3
195418991
1953188.395.5
1952188.488.7
1951190.593.2
1950189.686.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerSouth Sudan
2015205.1180.6–228.1112.487.1–135.9
2016204.2180.2–222.1103.878.8–129.9
2017210.9185.3–233.6114.384.4–134.8
2018206183.2–227.4109.674.1–140.7
2019206.7178.9–231.2107.285.2–133.3
2020207.9183.1–226.7114.783–140.8
2021209189.8–228112.182.3–137.9
2022213190.1–231108.880.6–137.3
2023207186.6–229.1113.188.8–147.8
2024216.5197.3–234.6121.591–149.4
2025214.6195.3–232115.889.9–141.1
2026210.3178.5–235.6112.283.6–145.9
2027216.5188.8–235.6115.482.9–143.9
2028217188.5–233.4118.387.9–145.1
2029218.1194.8–237.8120.789.9–140.1
2030217.1191.5–237117.292.5–147.7
2031215195.1–239.7123.397.3–147.8
2032213.2192.1–232118.791.5–148.1
2033217.2196.1–237123.791.9–159.9
2034216.7191–240120.889.9–159.1
2035219.7195.8–235.8122.892.3–153.1
2036216.2196–236.1118.790.7–147.5
2037222.3199.9–240.2127.792.4–161
2038219.5198.9–243.8129.5101.9–159.2
2039218.3195.6–242.5128.394.6–153.1
2040218.7200.4–240.1125.894.8–150.7
2041222.2200.4–245133.899.2–157.8
2042222201.7–244.6129.3101.8–150.8
2043220.5198.6–236.4124.788.4–161.9
2044218.2198.9–241.612893.3–153.7
2045222202–242134.398–166.7
2046225.1198–243142.1102.3–172.2
2047229.1204.3–245.7139.3111.2–169.4
2048225.8200.7–247.3133.1102.8–175.4
2049222.4197.3–242.8144106.7–173.4
2050224.7203.3–246.8131.8102.7–175.9
2051224.6203.8–242.1136.9103.8–181
2052229.7204.6–252.7140.6107.1–170.7
2053225.2204.6–248.6136.798.4–174.4
2054229199.7–252.3143.499–172.9
2055230.7210.5–249.6143.4108.5–177.2
2056229.8199.3–254.5140.5106.1–187.1
2057231.1205.6–251.8152.3116.4–191.2
2058226.7203.5–249.9151.7101.9–183.5
2059233.3210.7–256145.9103.5–182.1
2060230.9206.7–251.3148.7106.5–190.2
2061232.3207.4–256.9149.5111.4–191.8
2062233211.8–254.7146.1106.4–194.6
2063228.8206.1–248.5147.1109.1–180.2
2064232.3207.9–252.9149.2109.2–185.1
2065233.4211.8–253.6153.7122.4–192.3
2066236.5212.7–261.5150.4119.4–190.7
2067229.1206.5–253.3149.8119–196.2
2068233.9210.6–259.9153.9118.8–193.6
2069233.2210.6–253.7148.8111.4–191.2
2070235.8209.1–254.8154.5117–195.8
2071237.9218.7–258.9153.5117.6–200.4
2072237.9218–259.8161.7122–189.2
2073235.1210–259.4159.7124.4–198.7
2074235.2212.8–261.3151.9106.9–200.6
2075239.3212.9–259.7155.5106.6–190
2076238.9215.3–262.6159.9116.3–216.8
2077242218.1–264163.6123.7–216.5
2078241.4216.1–262.3161.4123.3–199.6
2079235.6213.1–259.6158.8127.9–190.6
2080238.2215.8–263.6161.6116.1–198.3
2081240.1217.1–267.5163.3126.3–208.9
2082238215.5–261.3159.2127.6–200.5
2083242.5216.2–264168129–211.4
2084239.2214.3–261.4162.7120.4–199.8
2085241.7216.6–264.8166.1126.3–209.4
2086240.9220–270.6162.5122.2–208.7
2087236.9208.4–262.9163.7110.7–202.2
2088236.9216.5–271.3164.8122.3–214.2
2089242.4215.5–267.5162.4126–199.8
2090242.1213.6–262.2167120.8–211.8
2091241.3218.9–266.5165.6119.3–210.6
2092245217.6–266.3173.9126.9–217.6
2093242.2219.3–262.9168.8131.2–208.4
2094245.1220.3–263.4171.1131.9–222.8
2095244.1218.8–266.6171.7128.2–224.7
2096241.9225.1–264.5166.3122.8–214.1
2097241.4218–265.6165.8123.7–214.6
2098240.8215.3–263.5165.5125–217.9
2099247.1221.7–265.4171126.6–227.6
2100242.2221.3–266.4172124.2–217.9

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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