Kenya vs Nigeria

Kenya vs Nigeria: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 58.3 nights, or 1.24 times that in Kenya.

nights a year · CMIP6

Kenya vs Nigeria: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 58.3 nights, or 1.24 times that in Kenya.
KenyaNigeriaCMIP6 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 Kenya at 277 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaNigeria
2014245.6303.9
2013245.4299.5
2012244.7304.4
2011245301.5
2010243.8301.4
2009242.3297.8
2008240.3297.4
2007240.9298
2006241.5297.2
2005241.2295.4
2004241.8294.1
2003240.8298.4
2002240.7295.2
2001242299.1
2000239.5293.9
1999237.8290.3
1998239.2289.9
1997236.9292.5
1996234.2290
1995232.9289.1
1994231.9287.4
1993227.4284
1992224.8281.6
1991233.8289.1
1990236.4290.6
1989234.5287.2
1988233.1288
1987232.6285.6
1986233289.1
1985228.7284.2
1984230.2284.4
1983226.7281.9
1982230.6283.5
1981232.9286.4
1980231.3282.8
1979229.6283
1978228.7282.8
1977229.9285.9
1976227.8281.7
1975225.9280.4
1974230.5280.7
1973230.4284.3
1972228.7284.1
1971226279.3
1970226.3282
1969225.9278.7
1968222.9279.6
1967224278.1
1966225.2279.4
1965224.2279
1964221.8276.8
1963220.2275.1
1962227.2284.1
1961228.3281.9
1960228.8285.9
1959228.3282.8
1958229.1281.4
1957228283.3
1956225.5280.8
1955228.7280.4
1954227.4284.1
1953227.6280.4
1952228.5280.8
1951228.3284.2
1950226.3279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaNigeria
2015246.9232.3–256.1301.7282.9–317.3
2016244.9230.1–255301.4280.8–312.5
2017248.1233.1–257.7302.5284.3–316.3
2018248.7237–257.4302.2286.8–316.5
2019247.1234.8–256.7300.1281.2–318
2020248.6233.2–259.2303283.7–318.5
2021249.5236.3–258.1305.1287.1–318.4
2022251.5239.7–259.5305.1286–319.5
2023251.8239–260.8305286.4–318.9
2024254.2239.1–263310.6295.1–321.5
2025251.5238.1–261.8307.5292–319.4
2026252.2237.2–263.3306.9286.1–322.9
2027252.8238.4–263.8307.4288–321.7
2028254.9241.9–264.2310.7293.4–322.6
2029256243.4–264.6311.4293.3–324.4
2030253.6240.6–263.1310.6294.1–322.5
2031256244.7–264.4312.2295–324.8
2032257243.8–267.1310290–323.5
2033256241.8–265.9313292.9–327
2034256.2241.2–267.9311.7294.8–325.1
2035256.7243.3–266.7314.5296.7–327.7
2036256.2242.4–266.7313.5294.1–326.5
2037258.7245.9–268.4315.6297.9–327.1
2038260.3244.5–268.9316.9301.2–329.6
2039259244.4–268315.4299.4–328.2
2040258.3246.2–269.8315.6297.9–327.4
2041260.7244.8–271.2316.8300.6–330.2
2042260.3246.5–272.7316.3300.3–330.3
2043259246.6–270.5316298.4–326
2044261.2248.8–270.9317.9299.5–329.6
2045261.8248.7–272.9316.6300.5–330.4
2046264.8249.6–275.3317.8302.2–330.7
2047264.4249.8–275.3319.8301.5–333
2048264.2252.3–274.9320.1302.4–331.7
2049265.2252.8–275.6320.7305.3–331.7
2050263.9249.8–275.1320.9304–335
2051265.4252.1–275.1321304.1–334.2
2052266.3252.6–276.2320.9303.9–333.5
2053265.2251–275.4320.9303.3–334.1
2054265.2250.2–277.2324.5304.5–338.2
2055266.8251.6–277.6322.2308.4–333.7
2056266.2251.2–277.8324.8305.8–336.3
2057266.8253–278326310.8–337.3
2058266.7251.5–277.9322.9307.4–334.2
2059269.8254.7–280.5325.7308.9–339
2060271.1253.9–280.7323.8307.5–337
2061267.5253.9–281.7324.4307.1–338.2
2062268.1254–281.2325.7308–339.3
2063268.9255–280.1326.6308.7–337
2064270254.1–279.8326.2311–339.8
2065269.4255.8–282.3327.6313.5–339.4
2066270.6258.1–281328.4311.3–339.6
2067270.7256.1–283326308.4–340.5
2068270.2256–283329.3311.2–342.9
2069269.8256.1–283.3326.6309.9–338.1
2070270.1255.8–282.6327.4312.6–340.7
2071271.9257.9–284.4329.1313–341.1
2072273.5260.3–283.8330.3315.9–342.1
2073273.1259.9–285.4326.3309.5–341
2074271.9257.5–285.4326.7311.4–341.4
2075271.1256.5–284.7328.9314.5–341.8
2076274.1258.6–285.8329.6313.4–342
2077273.4259–286.6332.5314.4–343.3
2078273.1260–284.4329.8312.8–342.1
2079273.3258.7–286.6329.6313.8–340.6
2080275.5259.4–286.9331.7314.1–344.8
2081274.7259.8–285.6329.3311.6–343.7
2082274.8261.3–286.4329.3313.3–341.4
2083274259.6–289.3330.4315–342.2
2084276.8259–288.8330.5311.9–344.2
2085276.2261.5–289.1332.7316.6–343.6
2086275.1260–289.1331.9316.3–343.6
2087276.2260.3–288.5330.7314.9–342.4
2088276.8261.6–289.7331.7313.2–342.7
2089275.9260.3–288.8331.1318.3–341.9
2090275.3260.5–290.5332.4312.7–343.9
2091277.7260.4–290.9333.3311–345.8
2092276.2261.2–290.7332.7313.8–345.7
2093276.9262–290.1334.2318.6–344.9
2094277262.8–288.9334.2317.3–345.6
2095278.4262.3–290.4333.8319.3–346.3
2096277.6260.5–292332.5317.4–346.7
2097277261–290.2331.8312.6–344.6
2098277.6262.3–291.5332.3316–343.7
2099277.9260.8–292.4333316.9–344.2
2100277261.8–290.4332.3318.5–345

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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