Benin vs Nigeria

Benin vs Nigeria: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 30 nights, or 1.1 times that in Nigeria.

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nights a year · CMIP6

Benin vs Nigeria: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 30 nights, or 1.1 times that in Nigeria.
BeninNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Benin has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Benin at 359.6 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearBeninNigeria
2014333.9303.9
2013328.9299.5
2012332.6304.4
2011330.1301.5
2010329.8301.4
2009325.2297.8
2008326.4297.4
2007325.2298
2006326.1297.2
2005324.3295.4
2004322.7294.1
2003327.4298.4
2002324295.2
2001329.4299.1
2000322.4293.9
1999317.9290.3
1998319.1289.9
1997320.6292.5
1996315.5290
1995316.5289.1
1994314.3287.4
1993313.5284
1992309.8281.6
1991316.1289.1
1990320.6290.6
1989313.1287.2
1988313.6288
1987313.3285.6
1986317.1289.1
1985314.6284.2
1984311.8284.4
1983308.8281.9
1982309.3283.5
1981314.8286.4
1980310.2282.8
1979311.9283
1978310282.8
1977314.4285.9
1976309.1281.7
1975307.3280.4
1974307.9280.7
1973311.8284.3
1972310.1284.1
1971305.9279.3
1970309.7282
1969305.9278.7
1968305.6279.6
1967305.6278.1
1966305.4279.4
1965306.1279
1964304.6276.8
1963304.6275.1
1962311.6284.1
1961307.4281.9
1960312.1285.9
1959312.4282.8
1958306.8281.4
1957311.8283.3
1956308.2280.8
1955308.6280.4
1954311.3284.1
1953307.4280.4
1952305.5280.8
1951309.4284.2
1950304.7279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninNigeria
2015328.6309.6–343.6301.7282.9–317.3
2016330.8309.8–342.5301.4280.8–312.5
2017330311.6–342.9302.5284.3–316.3
2018331.2315.3–345.2302.2286.8–316.5
2019328.1308–346.4300.1281.2–318
2020330.1308.7–348.1303283.7–318.5
2021332.7314.3–347.2305.1287.1–318.4
2022334.9314.5–347.9305.1286–319.5
2023331.8310.2–346.4305286.4–318.9
2024340.3323.4–351.1310.6295.1–321.5
2025335315.9–346.3307.5292–319.4
2026335.9313.3–353.1306.9286.1–322.9
2027335.8315.2–349.1307.4288–321.7
2028340.1321.3–351.9310.7293.4–322.6
2029338.6323.1–350.8311.4293.3–324.4
2030339.7321.7–350310.6294.1–322.5
2031343.8323.3–354.6312.2295–324.8
2032340.8318.1–351.4310290–323.5
2033343.1320.1–354.4313292.9–327
2034339.8319.2–352.6311.7294.8–325.1
2035342.7322–354.2314.5296.7–327.7
2036341.8320.2–355.2313.5294.1–326.5
2037344324.8–353.5315.6297.9–327.1
2038346.6334.6–355.1316.9301.2–329.6
2039344.5327.1–355.1315.4299.4–328.2
2040346327.6–355.8315.6297.9–327.4
2041345.5331.9–357.4316.8300.6–330.2
2042343.9328.1–358.9316.3300.3–330.3
2043345.7326.6–355.4316298.4–326
2044347.3329.7–358.8317.9299.5–329.6
2045342.6328–358.9316.6300.5–330.4
2046347.9332.2–357.8317.8302.2–330.7
2047349.6330.6–358.7319.8301.5–333
2048349.8334.6–358.1320.1302.4–331.7
2049350.7333.4–359.3320.7305.3–331.7
2050351334–360.2320.9304–335
2051350338.1–359.9321304.1–334.2
2052348.6332.5–359.5320.9303.9–333.5
2053351.3331.1–359.3320.9303.3–334.1
2054353.3336.1–360.3324.5304.5–338.2
2055350.7336.5–359.7322.2308.4–333.7
2056353.4337.9–362324.8305.8–336.3
2057355339.4–361.3326310.8–337.3
2058352.5338–360.1322.9307.4–334.2
2059354.9338.8–361.9325.7308.9–339
2060353.2337.9–360.9323.8307.5–337
2061353.8331.6–362324.4307.1–338.2
2062353.5334.3–361.4325.7308–339.3
2063355.1335.9–361.9326.6308.7–337
2064353.9338–363.1326.2311–339.8
2065355.3343.1–362.4327.6313.5–339.4
2066352.4339.8–360.1328.4311.3–339.6
2067355.7336.9–362.9326308.4–340.5
2068357.5341.2–363.6329.3311.2–342.9
2069353.4339.4–362.3326.6309.9–338.1
2070354.4341–361.7327.4312.6–340.7
2071356.4338.9–362.8329.1313–341.1
2072357.8343.2–363.8330.3315.9–342.1
2073356.1339.2–362.4326.3309.5–341
2074355.1339–362.4326.7311.4–341.4
2075356.2344.1–363.5328.9314.5–341.8
2076357343.3–362.6329.6313.4–342
2077357.3343.8–363.1332.5314.4–343.3
2078357.9344.2–363.3329.8312.8–342.1
2079357.3347.1–362.8329.6313.8–340.6
2080358.9344.5–365.3331.7314.1–344.8
2081357.1341.4–363.9329.3311.6–343.7
2082357.1341.9–362.2329.3313.3–341.4
2083358.4346.7–363.4330.4315–342.2
2084357.9343.1–364.6330.5311.9–344.2
2085359.5346–364.2332.7316.6–343.6
2086359.2344.3–364.1331.9316.3–343.6
2087357.6343.8–364.2330.7314.9–342.4
2088358.5341.9–364.2331.7313.2–342.7
2089357.1346.7–363.7331.1318.3–341.9
2090359.7343.6–363.8332.4312.7–343.9
2091358.6342.2–364.1333.3311–345.8
2092359.3342.5–364.9332.7313.8–345.7
2093360.3348–364.4334.2318.6–344.9
2094359347.2–364.5334.2317.3–345.6
2095358.6345.9–364.3333.8319.3–346.3
2096359.2344.5–365.5332.5317.4–346.7
2097358.4343.3–363.8331.8312.6–344.6
2098358.2346.2–363.8332.3316–343.7
2099358344.6–363.9333316.9–344.2
2100359.6348.3–364.5332.3318.5–345

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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