Egypt vs Kenya

Egypt vs Kenya: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 100.6 nights, or 1.69 times that in Egypt.

nights a year · CMIP6

Egypt vs Kenya: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 100.6 nights, or 1.69 times that in Egypt.
EgyptKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Egypt at 183.4 nights and Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptKenya
2014145245.6
2013145245.4
2012145.1244.7
2011144.7245
2010143.5243.8
2009140.2242.3
2008142.6240.3
2007140.5240.9
2006139.6241.5
2005140241.2
2004141.3241.8
2003141240.8
2002137.7240.7
2001139242
2000134.8239.5
1999135.5237.8
1998133239.2
1997134236.9
1996132.1234.2
1995130.2232.9
1994129.8231.9
1993123.6227.4
1992126.1224.8
1991129.7233.8
1990129.7236.4
1989126234.5
1988124.3233.1
1987125.8232.6
1986128.9233
1985125.7228.7
1984119.4230.2
1983119.4226.7
1982120.7230.6
1981122.6232.9
1980124.9231.3
1979119.2229.6
1978122.6228.7
1977121.3229.9
1976123.2227.8
1975121.9225.9
1974123.1230.5
1973123.5230.4
1972120.1228.7
1971120.7226
1970119.7226.3
1969118.3225.9
1968119.4222.9
1967116.2224
1966116.1225.2
1965112.9224.2
1964116.4221.8
1963120.2220.2
1962118.9227.2
1961118.7228.3
1960123.6228.8
1959123.2228.3
1958120.7229.1
1957122.4228
1956122.7225.5
1955119.4228.7
1954120.8227.4
1953121.3227.6
1952120.7228.5
1951121.2228.3
1950118.8226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptKenya
2015149.6131.4–164.2246.9232.3–256.1
2016147.7133.5–160.2244.9230.1–255
2017150.8134.8–163.2248.1233.1–257.7
2018147.4133.4–165.6248.7237–257.4
2019149.6132.7–164247.1234.8–256.7
2020150.8136.4–164.7248.6233.2–259.2
2021152.1137.8–168.1249.5236.3–258.1
2022154138.1–170.6251.5239.7–259.5
2023154.4139–168.4251.8239–260.8
2024155.8141.7–168.5254.2239.1–263
2025154.5139.6–168.1251.5238.1–261.8
2026155.1144.5–165.9252.2237.2–263.3
2027154.2139.5–166.3252.8238.4–263.8
2028154.5141.8–168.6254.9241.9–264.2
2029156.3139.9–169.5256243.4–264.6
2030156.3143.1–169.1253.6240.6–263.1
2031155.5141.5–171.2256244.7–264.4
2032158.3144.6–170.4257243.8–267.1
2033159.9143.8–172.9256241.8–265.9
2034159.8144.9–173.2256.2241.2–267.9
2035163.5146.6–175.8256.7243.3–266.7
2036156.2143.7–170.6256.2242.4–266.7
2037158.8142.9–173.8258.7245.9–268.4
2038164.9146.1–177.8260.3244.5–268.9
2039161.8146.1–180.1259244.4–268
2040161.6147.9–176.5258.3246.2–269.8
2041163.7149.4–177.3260.7244.8–271.2
2042166.5149.7–180.6260.3246.5–272.7
2043163.6150.3–176.8259246.6–270.5
2044162.2147–178261.2248.8–270.9
2045167.2152.5–181261.8248.7–272.9
2046166149–181.1264.8249.6–275.3
2047165.9151.8–181.5264.4249.8–275.3
2048167.2154.5–180.1264.2252.3–274.9
2049165.3148.7–177.9265.2252.8–275.6
2050170152.8–183263.9249.8–275.1
2051165.6152.7–179.5265.4252.1–275.1
2052167.3156–180.2266.3252.6–276.2
2053170.1153.6–183.8265.2251–275.4
2054169153.3–183265.2250.2–277.2
2055170.5153.5–183.3266.8251.6–277.6
2056168.3151.2–181.4266.2251.2–277.8
2057166.8150.7–185.3266.8253–278
2058171.8154.2–188.2266.7251.5–277.9
2059173.3157.8–188.6269.8254.7–280.5
2060170.5154.8–189.3271.1253.9–280.7
2061170.3155.1–184.6267.5253.9–281.7
2062172.1155.2–185.7268.1254–281.2
2063169.7152.8–182.6268.9255–280.1
2064172.3155.9–187.2270254.1–279.8
2065173.3159.7–189.9269.4255.8–282.3
2066170155–187.7270.6258.1–281
2067176.2161.5–190270.7256.1–283
2068174.6157.3–193.1270.2256–283
2069175.8158.8–191.7269.8256.1–283.3
2070173.3158.3–191.7270.1255.8–282.6
2071176.8158.1–194.7271.9257.9–284.4
2072177.6160.8–192.1273.5260.3–283.8
2073176159.2–189.3273.1259.9–285.4
2074171.9156.5–194.1271.9257.5–285.4
2075171.8157–191.9271.1256.5–284.7
2076177161–194.6274.1258.6–285.8
2077179.7157–194.1273.4259–286.6
2078178.4161–195273.1260–284.4
2079178.2160.2–193.7273.3258.7–286.6
2080178.5163–193.3275.5259.4–286.9
2081177.2160–192.8274.7259.8–285.6
2082178.8164.5–193.3274.8261.3–286.4
2083180.6164.4–195.7274259.6–289.3
2084181.4162.4–197.8276.8259–288.8
2085178.8163–196.7276.2261.5–289.1
2086181.9166.6–198.8275.1260–289.1
2087178156.4–194.3276.2260.3–288.5
2088177.8163.5–196276.8261.6–289.7
2089180.9163.5–198.9275.9260.3–288.8
2090179.9162.4–197.8275.3260.5–290.5
2091184.2165.1–198.9277.7260.4–290.9
2092180.3162.9–196.3276.2261.2–290.7
2093181.1166.1–198.2276.9262–290.1
2094185.4168–198.9277262.8–288.9
2095181.9165.5–197.3278.4262.3–290.4
2096183.1163.5–200.3277.6260.5–292
2097181.5165.4–198.9277261–290.2
2098181.7162.1–198.8277.6262.3–291.5
2099179.9164.2–197.8277.9260.8–292.4
2100183.4162.9–198.1277261.8–290.4

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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