Benin vs South Sudan

Benin vs South Sudan: Days above 35 °C

Days above 35 °C in 2014: 108 days in Benin and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 7.2 days, or 1.07 times that in Benin.

days a year · CMIP6

Benin vs South Sudan: Days above 35 °CDays above 35 °C in 2014: 108 days in Benin and 115.2 days in South Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Sudan, by 7.2 days, or 1.07 times that in Benin.
BeninSouth SudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Sudan has been higher since 1959, when it overtook Benin.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Benin at 181.8 days and South Sudan at 172 days in 2100.

Every year

days a year · CMIP6

YearBeninSouth Sudan
2014108115.2
2013105.6111.2
2012103.6108.8
2011103.6112.9
2010100.9112.8
200996.5104.3
200895.4104.2
200796.7100.7
200696.1105.3
200597.7102.8
2004101.3103.4
200395.1102.5
200293.8104.6
2001101.4108.9
200097.899.1
199990.897.8
199890.397.6
199793.999.2
199685.594
199586.494
199483.489.9
199380.584.6
199276.887.9
199188.695.2
199092.494
198983.393.6
198889.998
198790.297.7
198691.197.9
198584.289.8
198486.890.8
198386.990.8
198285.589.3
198187.396.2
198087.197.5
19798795.4
197884.789.1
197787.992.9
197680.686.7
197582.691.5
197481.490
19738590.1
197284.289.8
197181.884.8
197079.687.8
196983.590.8
196877.985.5
196781.184.3
196679.587
196577.482.2
196469.679.2
196380.784.4
196285.593.5
196187.890.4
19608792
195985.190.1
195888.588
195786.590.7
195679.685.5
195583.187.3
195485.791
195389.195.5
195284.288.7
195188.493.2
195083.186.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninSouth Sudan
2015106.178.6–131.3112.487.1–135.9
201698.673.3–119.9103.878.8–129.9
2017103.980.2–135.6114.384.4–134.8
2018103.967.8–131109.674.1–140.7
201910774.7–131.1107.285.2–133.3
2020105.368.1–136.7114.783–140.8
2021104.682.1–131.3112.182.3–137.9
2022114.481.7–144.5108.880.6–137.3
2023108.580.6–136.3113.188.8–147.8
2024115.490.8–144.3121.591–149.4
2025111.587.7–138.8115.889.9–141.1
2026115.272.2–141.7112.283.6–145.9
2027119.571.4–146.3115.482.9–143.9
2028117.188.3–156.7118.387.9–145.1
202912089.5–146.7120.789.9–140.1
203012281.4–150.9117.292.5–147.7
2031123.487.4–150123.397.3–147.8
2032124.478.6–161.8118.791.5–148.1
2033123.484.1–155.7123.791.9–159.9
2034124.787.9–153120.889.9–159.1
2035121.483.7–159.3122.892.3–153.1
203612481.6–157.4118.790.7–147.5
2037133.488.3–162.7127.792.4–161
2038133.498.6–164.4129.5101.9–159.2
2039132.295.8–160.2128.394.6–153.1
2040129.390.6–167.2125.894.8–150.7
204113798.2–168.2133.899.2–157.8
2042135.396.6–165.7129.3101.8–150.8
2043132.9101.1–165.5124.788.4–161.9
2044136.888.1–170.312893.3–153.7
2045140.595.8–178134.398–166.7
2046148.9100.3–175.8142.1102.3–172.2
2047147.5101.6–173.4139.3111.2–169.4
2048144.4105.8–178.9133.1102.8–175.4
2049145.3112.7–175.4144106.7–173.4
2050141.4107.2–184.1131.8102.7–175.9
2051142.6105.6–186.1136.9103.8–181
2052150.5103.5–190140.6107.1–170.7
2053143.4104.6–189.3136.798.4–174.4
2054149.8108.9–189.7143.499–172.9
2055150.9115.4–193.7143.4108.5–177.2
2056153.6112.9–196.5140.5106.1–187.1
2057168.3114.9–194.8152.3116.4–191.2
2058155.9115.6–189.5151.7101.9–183.5
2059155122–196.6145.9103.5–182.1
2060159.7112.9–195.4148.7106.5–190.2
2061162.8110.6–197.9149.5111.4–191.8
2062158.2116.9–201.5146.1106.4–194.6
2063165.6122.8–205.9147.1109.1–180.2
2064161115.8–196.7149.2109.2–185.1
2065165.1118.3–196.8153.7122.4–192.3
2066157.3125–203.9150.4119.4–190.7
2067158.3118.9–206.6149.8119–196.2
2068162.5118.9–203.1153.9118.8–193.6
2069164.3118.8–209.7148.8111.4–191.2
2070163114.1–208.8154.5117–195.8
2071169.9113.8–214.9153.5117.6–200.4
2072167.4119.5–209.3161.7122–189.2
2073169.4122.4–216.7159.7124.4–198.7
2074164.9116.4–222.8151.9106.9–200.6
2075176.7116.6–209.4155.5106.6–190
2076170.5130.4–214.1159.9116.3–216.8
2077181.8127.5–221.2163.6123.7–216.5
2078171.9128.8–217.8161.4123.3–199.6
2079175.4131.7–212.4158.8127.9–190.6
2080183.1121.3–215.7161.6116.1–198.3
2081173.9122.5–219.1163.3126.3–208.9
2082172.4126.2–219.8159.2127.6–200.5
2083177.2131.2–222.2168129–211.4
2084174.6130.9–222.3162.7120.4–199.8
2085186.3131.3–224.6166.1126.3–209.4
2086178.7124.8–224.6162.5122.2–208.7
2087183.2124.3–218.5163.7110.7–202.2
2088181.6131.3–223.4164.8122.3–214.2
2089172.2128.9–227.6162.4126–199.8
2090177.1135.1–228167120.8–211.8
2091184.8127.9–222.4165.6119.3–210.6
2092193.6130.9–228.6173.9126.9–217.6
2093186.1135.5–232.4168.8131.2–208.4
2094182.1136.8–228.1171.1131.9–222.8
2095196.1122.4–231.5171.7128.2–224.7
2096185.2135.2–235.1166.3122.8–214.1
2097178.6131.5–227.3165.8123.7–214.6
2098183.4131.9–228.8165.5125–217.9
2099190.6129.1–238.9171126.6–227.6
2100181.8131.4–238.5172124.2–217.9

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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