Djibouti vs Somalia

Djibouti vs Somalia: Days above 35 °C

Days above 35 °C in 2014: 161.5 days in Djibouti and 58 days in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 103.5 days, or 2.78 times that in Somalia.

days a year · CMIP6

Djibouti vs Somalia: Days above 35 °CDays above 35 °C in 2014: 161.5 days in Djibouti and 58 days in Somalia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Djibouti, by 103.5 days, or 2.78 times that in Somalia.
DjiboutiSomaliaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Djibouti has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Djibouti at 202.6 days and Somalia at 132.6 days in 2100.

Every year

days a year · CMIP6

YearDjiboutiSomalia
2014161.558
201316158.1
2012157.356
2011159.357.6
2010158.257
2009156.753
200815451.3
2007150.651.1
2006151.951.2
2005154.351.9
2004152.952.6
200315653
2002157.851.4
2001153.351.7
2000155.451.6
1999150.750
199814849.2
1997150.248.2
1996149.744.7
1995147.744.3
1994143.842.8
1993141.939
1992136.736.2
1991146.646.9
1990149.945.5
1989147.443.4
1988148.944.2
1987145.444.2
1986144.944.3
1985141.440.6
198414442.6
1983139.439.7
1982146.743.5
198114844.6
1980145.644.8
1979143.243.5
1978141.842.4
1977144.142.1
1976142.738.3
1975140.239.4
1974140.641.9
1973144.840.8
1972141.540.5
1971141.738.4
1970134.638.2
1969139.339.6
1968136.636.3
1967137.335.4
1966140.138.9
1965137.235.3
1964133.134.1
1963134.435.8
1962142.139.6
1961141.542.1
1960142.341
195913940.6
1958138.439.4
1957144.340.9
1956141.639
1955139.940.6
1954142.438.5
1953141.540.3
1952142.940.7
1951142.341.3
1950142.440.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearDjiboutiSomalia
2015160.8141.1–177.661.244–78.5
2016162.4133.4–175.460.241.9–78.7
2017162.5134.6–177.163.439.6–81.2
2018157.4134.1–177.66245.5–79.9
2019160.7134.1–179.762.444.6–82.9
2020162.3135.6–180.465.944–86.1
2021159.8141.2–18164.146.7–83.1
2022161.7129–18467.847.3–88.5
2023164.4132.6–185.870.948.3–92.1
2024165143.2–189.572.751.4–92.7
2025163.1129.9–181.467.148.6–93.9
2026165.9131.4–186.866.543.9–99.9
2027164.6130.3–184.667.147.5–96.2
2028169137.8–188.869.949.2–95.5
2029168.2139.9–187.974.150.6–96
2030169.3140.4–18672.553.5–97.1
2031168.4152.8–1887655.6–99.9
2032172.6149.8–192.874.752.3–98.3
2033174.9150.4–192.279.656.7–101.7
2034172.2151.4–190.876.456.7–102.6
2035173.6146.8–189.677.552.5–105.2
2036172.5149.4–189.276.753.9–100.7
2037173.4148.7–190.780.456.2–107.2
2038173.9156.9–195.880.359.3–108.7
2039176156.9–192.982.258.9–108.7
2040177.3156.2–194.281.357.4–113.8
2041176.2141.4–196.384.860.6–118.5
2042177.8154–198.58556.5–118.5
2043179.2150.8–19783.660.2–115.7
2044181.1147.3–196.686.862.5–117.6
2045181.3154.5–201.786.961.3–121.1
2046180.5150.9–197.892.160.2–126.6
2047179.9157–199.895.564.1–127.6
2048182.5156.8–206.195.969.2–124.6
2049183.7153.2–201.696.966.8–131.6
2050182.2157.1–20593.366.5–129.9
2051184.4162.8–206.296.666.3–137.2
2052183.3150.6–204.698.867.9–126.4
2053182.6161.3–207.196.765.5–130.9
2054183.7160.1–201.891.563.1–130.8
2055188.1161–207.410168.8–131.1
2056187.1166.2–212.299.267.2–140.6
2057188.3166.1–210.698.171.7–135.6
2058183.8153.6–205.4100.566.1–140.3
2059189.8162.8–214.410371.1–144.1
2060195.2171.8–213.3109.573.1–143.8
2061193.2170.2–210.6105.575.3–142.2
2062189.2162.8–216.9106.769.6–147.9
2063190.6170.3–212.311075.4–143.5
2064194.3166.7–209.5108.368.2–139.7
2065188.5166.1–213.4103.571.4–150.4
2066190163.9–209.6110.373.5–142.6
2067193.4162.7–215.9110.571.3–148.5
2068195.7170.3–217.7106.373.1–150.5
2069198.6169.8–213.6112.378.2–147.4
2070195.6172.9–215.1107.971.2–150.8
2071198.4165.6–221.5116.976–161.6
2072193.2169.4–213.211774–152.9
2073197.1176.8–218118.283.9–157.3
2074188.8157.3–218.7112.577.8–162.7
2075194.9163.8–216.711778.6–160.3
2076198.6171.6–217.812184.8–156.5
2077198.5164.2–220124.478.7–167.9
2078194.7168.5–220.1118.683–162
2079198.8169.8–220.4121.379.2–161
2080199.7163.6–223.7124.781.5–169.5
2081203174.3–221.5127.587.6–172.7
2082198173.4–219.6126.584.2–165.4
2083200173.1–224.7126.386.8–173.9
2084198.7172–226.8128.184.6–170.5
2085201.8174.9–225.8126.884.7–167.3
2086202.2163–223.813283.7–173
2087201.9171.4–222.1127.683.8–170.6
2088202.3180.6–223.7131.180.1–167.8
2089202.5179.1–220.9128.383.8–169.7
2090207.1176.4–228.1134.390.9–176.1
2091207.8174.3–230.4130.987.6–178.4
2092203.6172.6–224.2133.685.4–169
2093205175.1–224.3133.794.2–185.6
2094202.5177.9–221.9130.490.9–173.8
2095203.7178.7–227.8132.593.5–175.3
2096202.9171–226.4136.290.3–181
2097199179.5–223.5129.288.6–176.1
2098195.1168.9–226.7129.984.9–182.6
2099207.2181.7–229134.685.5–175.8
2100202.6179.2–221.8132.688.7–171.3

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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