Egypt vs Nigeria

Egypt vs Nigeria: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 158.9 nights, or 2.1 times that in Egypt.

nights a year · CMIP6

Egypt vs Nigeria: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 158.9 nights, or 2.1 times that in Egypt.
EgyptNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptNigeria
2014145303.9
2013145299.5
2012145.1304.4
2011144.7301.5
2010143.5301.4
2009140.2297.8
2008142.6297.4
2007140.5298
2006139.6297.2
2005140295.4
2004141.3294.1
2003141298.4
2002137.7295.2
2001139299.1
2000134.8293.9
1999135.5290.3
1998133289.9
1997134292.5
1996132.1290
1995130.2289.1
1994129.8287.4
1993123.6284
1992126.1281.6
1991129.7289.1
1990129.7290.6
1989126287.2
1988124.3288
1987125.8285.6
1986128.9289.1
1985125.7284.2
1984119.4284.4
1983119.4281.9
1982120.7283.5
1981122.6286.4
1980124.9282.8
1979119.2283
1978122.6282.8
1977121.3285.9
1976123.2281.7
1975121.9280.4
1974123.1280.7
1973123.5284.3
1972120.1284.1
1971120.7279.3
1970119.7282
1969118.3278.7
1968119.4279.6
1967116.2278.1
1966116.1279.4
1965112.9279
1964116.4276.8
1963120.2275.1
1962118.9284.1
1961118.7281.9
1960123.6285.9
1959123.2282.8
1958120.7281.4
1957122.4283.3
1956122.7280.8
1955119.4280.4
1954120.8284.1
1953121.3280.4
1952120.7280.8
1951121.2284.2
1950118.8279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptNigeria
2015149.6131.4–164.2301.7282.9–317.3
2016147.7133.5–160.2301.4280.8–312.5
2017150.8134.8–163.2302.5284.3–316.3
2018147.4133.4–165.6302.2286.8–316.5
2019149.6132.7–164300.1281.2–318
2020150.8136.4–164.7303283.7–318.5
2021152.1137.8–168.1305.1287.1–318.4
2022154138.1–170.6305.1286–319.5
2023154.4139–168.4305286.4–318.9
2024155.8141.7–168.5310.6295.1–321.5
2025154.5139.6–168.1307.5292–319.4
2026155.1144.5–165.9306.9286.1–322.9
2027154.2139.5–166.3307.4288–321.7
2028154.5141.8–168.6310.7293.4–322.6
2029156.3139.9–169.5311.4293.3–324.4
2030156.3143.1–169.1310.6294.1–322.5
2031155.5141.5–171.2312.2295–324.8
2032158.3144.6–170.4310290–323.5
2033159.9143.8–172.9313292.9–327
2034159.8144.9–173.2311.7294.8–325.1
2035163.5146.6–175.8314.5296.7–327.7
2036156.2143.7–170.6313.5294.1–326.5
2037158.8142.9–173.8315.6297.9–327.1
2038164.9146.1–177.8316.9301.2–329.6
2039161.8146.1–180.1315.4299.4–328.2
2040161.6147.9–176.5315.6297.9–327.4
2041163.7149.4–177.3316.8300.6–330.2
2042166.5149.7–180.6316.3300.3–330.3
2043163.6150.3–176.8316298.4–326
2044162.2147–178317.9299.5–329.6
2045167.2152.5–181316.6300.5–330.4
2046166149–181.1317.8302.2–330.7
2047165.9151.8–181.5319.8301.5–333
2048167.2154.5–180.1320.1302.4–331.7
2049165.3148.7–177.9320.7305.3–331.7
2050170152.8–183320.9304–335
2051165.6152.7–179.5321304.1–334.2
2052167.3156–180.2320.9303.9–333.5
2053170.1153.6–183.8320.9303.3–334.1
2054169153.3–183324.5304.5–338.2
2055170.5153.5–183.3322.2308.4–333.7
2056168.3151.2–181.4324.8305.8–336.3
2057166.8150.7–185.3326310.8–337.3
2058171.8154.2–188.2322.9307.4–334.2
2059173.3157.8–188.6325.7308.9–339
2060170.5154.8–189.3323.8307.5–337
2061170.3155.1–184.6324.4307.1–338.2
2062172.1155.2–185.7325.7308–339.3
2063169.7152.8–182.6326.6308.7–337
2064172.3155.9–187.2326.2311–339.8
2065173.3159.7–189.9327.6313.5–339.4
2066170155–187.7328.4311.3–339.6
2067176.2161.5–190326308.4–340.5
2068174.6157.3–193.1329.3311.2–342.9
2069175.8158.8–191.7326.6309.9–338.1
2070173.3158.3–191.7327.4312.6–340.7
2071176.8158.1–194.7329.1313–341.1
2072177.6160.8–192.1330.3315.9–342.1
2073176159.2–189.3326.3309.5–341
2074171.9156.5–194.1326.7311.4–341.4
2075171.8157–191.9328.9314.5–341.8
2076177161–194.6329.6313.4–342
2077179.7157–194.1332.5314.4–343.3
2078178.4161–195329.8312.8–342.1
2079178.2160.2–193.7329.6313.8–340.6
2080178.5163–193.3331.7314.1–344.8
2081177.2160–192.8329.3311.6–343.7
2082178.8164.5–193.3329.3313.3–341.4
2083180.6164.4–195.7330.4315–342.2
2084181.4162.4–197.8330.5311.9–344.2
2085178.8163–196.7332.7316.6–343.6
2086181.9166.6–198.8331.9316.3–343.6
2087178156.4–194.3330.7314.9–342.4
2088177.8163.5–196331.7313.2–342.7
2089180.9163.5–198.9331.1318.3–341.9
2090179.9162.4–197.8332.4312.7–343.9
2091184.2165.1–198.9333.3311–345.8
2092180.3162.9–196.3332.7313.8–345.7
2093181.1166.1–198.2334.2318.6–344.9
2094185.4168–198.9334.2317.3–345.6
2095181.9165.5–197.3333.8319.3–346.3
2096183.1163.5–200.3332.5317.4–346.7
2097181.5165.4–198.9331.8312.6–344.6
2098181.7162.1–198.8332.3316–343.7
2099179.9164.2–197.8333316.9–344.2
2100183.4162.9–198.1332.3318.5–345

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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