Somalia vs Zimbabwe

Somalia vs Zimbabwe: Tropical nights

Tropical nights in 2014: 295.2 nights in Somalia and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 218.8 nights, or 3.87 times that in Zimbabwe.

nights a year · CMIP6

Somalia vs Zimbabwe: Tropical nightsTropical nights in 2014: 295.2 nights in Somalia and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Somalia, by 218.8 nights, or 3.87 times that in Zimbabwe.
SomaliaZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Somalia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Somalia at 328.2 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearSomaliaZimbabwe
2014295.276.4
2013296.878.4
2012296.775.9
2011297.173.3
2010294.671.5
2009293.569.6
2008292.269.8
2007293.369.3
2006292.470.3
2005292.369.5
2004293.871.8
2003293.572.9
2002292.171.3
2001292.471.3
2000290.267.4
1999288.662.3
1998289.966.3
1997288.862
199628557.7
1995285.258.9
1994284.256.8
1993280.250.1
1992278.152.1
1991286.658.7
1990288.561.5
1989285.160.4
1988285.661.6
1987282.557.3
1986283.458.6
1985279.654.1
1984281.454.6
1983277.153.3
1982283.753.7
1981282.557
198028057.3
1979280.456.2
1978280.553.1
1977282.955.2
1976278.751.2
1975276.853.6
1974279.354.2
1973280.853.9
1972278.353.2
1971278.251.1
1970278.353.1
1969276.853.3
1968276.348.7
1967274.348.7
1966275.948.8
1965275.248.6
1964275.144.6
1963272.947.4
1962277.955.8
1961280.351.6
1960280.855.6
1959278.853.6
1958280.955.3
1957280.353.2
1956276.148.6
1955280.154.4
1954278.253
1953277.251.8
1952279.452.7
195127952.3
1950278.851.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSomaliaZimbabwe
2015299.3283.7–31179.463.5–98.5
2016296.8282.3–308.378.657.9–101.7
2017299.6284.6–310.181.263.3–98.5
2018301.3287.9–310.282.160.5–104.1
2019299.1286.1–311.982.863.9–102.3
2020299.4285.3–310.384.362.9–106.9
2021302.4289.1–313.682.564.7–102.7
2022304.5289.7–314.689.870.1–108.8
2023304.1290.6–312.490.672.5–110.7
2024303.4290.1–31793.769.8–113.4
2025303.1288.8–317.88865.1–114.6
2026303.2288.7–315.489.767.8–113.9
2027303.8287.7–314.995.668.4–119.6
2028305.4291.3–316.893.371.4–115.7
2029307.8294–317.8100.277.2–120
2030304.5289.6–314.99671.6–115.3
2031307.4292.3–317.99874.9–119.8
2032308.3292.4–319.698.574.7–118.5
2033307.2292–317.698.974–120.6
2034305.9292.3–321.2100.277.3–128.1
2035308.7293.4–321.1103.975.7–130.6
2036307.5295.4–317.7100.878–123
2037310.1298.4–319.910882.1–131.1
2038311.1296.4–323.2110.986.5–135
2039308.6295.9–321.9102.480.4–122.3
2040311.7295.9–324.2101.379.5–133.5
2041312296.6–321.5108.483.7–134.2
2042311.7295–325.7108.883.1–139.9
2043312298–323.1107.985.7–137.3
2044311.4297.3–323111.287–134.8
2045312.3298.6–323106.186.2–130.7
2046314.4299–327.7112.386.4–139.1
2047315.8300.2–327.9119.692.1–145.9
2048316.9302.8–327.5116.888.4–143.9
2049314.9303.2–325.2119.290.4–146.2
2050315.9300.6–324.5122.794.1–148.6
2051314.9301.9–326.9122.4100.9–147.7
2052316.2301.6–329124.2101.3–152.8
2053314.8302.3–326.8121.689–146.9
2054316.2301.5–330.1123.993.9–150.8
2055317.4302.7–327.8126.597.9–153.7
2056316.5302.9–332.3126.198–154.7
2057316.8302.5–329.8122.797.6–150.7
2058316.9300.7–330.9125.3103–154.1
2059320.8305.2–332.5132.2107.4–157.4
2060321.3305.7–331.9132.599.9–159
2061317.8304.8–330.3126.694.2–161.1
2062319.6304.3–336126.399.6–157.3
2063320.9305.3–332127.7101–159.7
2064319.7306.8–330.5130.498–151.3
2065318.3304.6–334.6132.4107.6–165.6
2066321307.9–333.9134.5106.8–159.8
2067320.5304.3–334.4125.598.9–160.5
2068321.7305.6–336.3134102.3–166.1
2069322.3308.6–335.4136.9106.4–164.2
2070321.1305.3–335.6133.199.8–166.3
2071324.5308.4–336.9135.2108.4–173.7
2072324.1308.2–334.1140.4110.6–166.8
2073323.7308.1–337.9140.9109.7–173.6
2074322306–334.6135.5112–170.6
2075323.6307.6–336.4136108.5–166.6
2076323.6309–333.3133.7105.9–163.7
2077324.2309.6–335.9140.2114.3–170.6
2078324.7310.1–333.7137.5111.3–172.3
2079323.2307.6–336.3136.9110.2–172.6
2080324.7310.6–337.8145115.8–173.2
2081323.2311.1–335.3147.2106.5–174.1
2082324.3309.4–336.4141.4111.4–169.9
2083323.6308.3–342.4143.6106.5–179.2
2084326.2309.4–337.5149.4117.3–176.9
2085327.7311.9–339.4154.3114.9–182.7
2086326.6311.1–340.2141.7115.3–176.1
2087327.3311.5–339.1142.7116.8–177.3
2088328.6308.2–341.6150.2118.3–178.9
2089326.7312–340.2148.9121.3–176.4
2090326.5311.7–339.5145.7113.7–179.4
2091328.6311.5–340.9149.7116.5–181.8
2092329.1312.2–341.8149.4119.7–181.7
2093327.3312.1–342.8152.5117.1–184.1
2094325.6312–336.2150.9117.3–182.2
2095329314–341.2155118.3–181.5
2096327.9311.6–341.9152.4113.1–189.2
2097325.6311–340144.1113.8–183.3
2098327.7311.4–341.1152.4119.2–187
2099327.3311.9–339.3152.9117.3–185
2100328.2313.4–341.2148.3120.1–184.6

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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