Nigeria vs United States

Nigeria vs United States: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 264.1 nights, or 7.64 times that in United States.

nights a year · CMIP6

Nigeria vs United States: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 264.1 nights, or 7.64 times that in United States.
NigeriaUnited StatesCMIP6 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 Nigeria at 332.3 nights and United States at 63.9 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaUnited States
2014303.939.8
2013299.538.9
2012304.438.7
2011301.538.4
2010301.438.3
2009297.837.5
2008297.436.8
200729837.7
2006297.237.6
2005295.436.8
2004294.135.8
2003298.436
2002295.237.7
2001299.136.7
2000293.935.5
1999290.336.1
1998289.934.8
1997292.535.1
199629033.6
1995289.133.6
1994287.432.4
199328430.9
1992281.629.4
1991289.133.7
1990290.633.8
1989287.232.9
198828833
1987285.632.1
1986289.131.5
1985284.232
1984284.430.1
1983281.928.4
1982283.530.8
1981286.432.9
1980282.830.7
197928332.1
1978282.831.6
1977285.931.6
1976281.729.7
1975280.431.1
1974280.729.8
1973284.329.9
1972284.130.7
1971279.330
197028229.7
1969278.730.4
1968279.629.5
1967278.129.7
1966279.429.1
196527928.6
1964276.828.1
1963275.130
1962284.130.8
1961281.931.9
1960285.931.1
1959282.831
1958281.430.6
1957283.331
1956280.832
1955280.430.7
1954284.130.8
1953280.431.3
1952280.830.6
1951284.230.7
1950279.330.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaUnited States
2015301.7282.9–317.340.932.9–49.8
2016301.4280.8–312.541.933.3–52
2017302.5284.3–316.34234–50.6
2018302.2286.8–316.54333.9–52.5
2019300.1281.2–31843.234.3–52.6
2020303283.7–318.542.833.9–53.1
2021305.1287.1–318.442.833.8–52.7
2022305.1286–319.543.634.5–52.3
2023305286.4–318.944.535–55.5
2024310.6295.1–321.544.935.9–54.5
2025307.5292–319.44636.7–55.5
2026306.9286.1–322.944.735.6–54.8
2027307.4288–321.746.437.3–58.4
2028310.7293.4–322.645.836.5–56.6
2029311.4293.3–324.446.936.9–57.7
2030310.6294.1–322.546.936.6–58.8
2031312.2295–324.846.337–55.7
2032310290–323.546.236.9–56.5
2033313292.9–32749.439.1–60.3
2034311.7294.8–325.147.738.7–58.6
2035314.5296.7–327.747.737.5–59.6
2036313.5294.1–326.549.439.2–61.8
2037315.6297.9–327.148.639.1–59.8
2038316.9301.2–329.650.240.4–59.8
2039315.4299.4–328.250.240.5–60.9
2040315.6297.9–327.450.739.8–61.8
2041316.8300.6–330.249.840.1–61.2
2042316.3300.3–330.351.441–63.1
2043316298.4–32651.341.4–62.2
2044317.9299.5–329.651.340.5–63.3
2045316.6300.5–330.452.441.5–64.7
2046317.8302.2–330.753.343.3–64.1
2047319.8301.5–33353.844.1–66.5
2048320.1302.4–331.753.542.2–66
2049320.7305.3–331.753.743.2–65.9
2050320.9304–33554.943–67.2
2051321304.1–334.254.743.5–67.5
2052320.9303.9–333.553.642–66.1
2053320.9303.3–334.154.342.4–66.8
2054324.5304.5–338.254.543.1–67
2055322.2308.4–333.755.142.4–68
2056324.8305.8–336.355.844.3–70
2057326310.8–337.356.244.6–68.1
2058322.9307.4–334.256.144.4–70.4
2059325.7308.9–33955.544.5–67.9
2060323.8307.5–33756.144.9–68.3
2061324.4307.1–338.25746–69
2062325.7308–339.357.443.9–70.3
2063326.6308.7–33757.244.7–70.8
2064326.2311–339.85643–68.2
2065327.6313.5–339.456.544.2–71
2066328.4311.3–339.658.747.4–71.2
2067326308.4–340.558.647.2–71.4
2068329.3311.2–342.958.846.1–71.7
2069326.6309.9–338.159.646.8–73
2070327.4312.6–340.757.944.7–72.8
2071329.1313–341.15946.5–72
2072330.3315.9–342.158.746.4–72.9
2073326.3309.5–34159.345.8–72.1
2074326.7311.4–341.460.546.4–74.6
2075328.9314.5–341.859.846.6–75.3
2076329.6313.4–34259.647.5–74.4
2077332.5314.4–343.360.147.9–74.3
2078329.8312.8–342.160.747–76
2079329.6313.8–340.661.148.3–76.2
2080331.7314.1–344.861.448.8–76.8
2081329.3311.6–343.76149.2–74.7
2082329.3313.3–341.461.748.1–75.9
2083330.4315–342.262.849.6–77.6
2084330.5311.9–344.262.248.1–76.8
2085332.7316.6–343.66247.9–76
2086331.9316.3–343.66449–78.8
2087330.7314.9–342.463.349.5–77.3
2088331.7313.2–342.763.148.2–78.4
2089331.1318.3–341.961.648.8–76.6
2090332.4312.7–343.964.950.6–79
2091333.3311–345.864.750–78.6
2092332.7313.8–345.76448.1–79
2093334.2318.6–344.964.350.1–80.2
2094334.2317.3–345.663.248.2–78.9
2095333.8319.3–346.364.149.8–79.8
2096332.5317.4–346.76549.9–79.6
2097331.8312.6–344.663.347.3–81.2
2098332.3316–343.764.349.7–79.2
2099333316.9–344.264.350.3–79.5
2100332.3318.5–34563.950.3–80.2

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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