Nigeria vs South Korea

Nigeria vs South Korea: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 235 nights, or 4.41 times that in South Korea.

nights a year · CMIP6

Nigeria vs South Korea: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 235 nights, or 4.41 times that in South Korea.
NigeriaSouth KoreaCMIP6 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 South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaSouth Korea
2014303.968.9
2013299.569.7
2012304.467.7
2011301.565.3
2010301.468.3
2009297.865.8
2008297.463.7
200729864.2
2006297.264.8
2005295.465.1
2004294.166.8
2003298.463.2
2002295.263.3
2001299.163.4
2000293.961.7
1999290.364.2
1998289.960.7
1997292.560.4
199629061.2
1995289.155.2
1994287.454.8
199328449.2
1992281.650.7
1991289.156.9
1990290.658.8
1989287.258.7
198828855.6
1987285.652.6
1986289.151.4
1985284.253.1
1984284.450.4
1983281.946.8
1982283.554
1981286.453.9
1980282.851.6
197928352.6
1978282.856.4
1977285.951.8
1976281.752.8
1975280.454.6
1974280.752.7
1973284.350.4
1972284.151.8
1971279.349.7
197028250.4
1969278.755.2
1968279.651.7
1967278.157.3
1966279.452.9
196527952.8
1964276.852.2
1963275.157.9
1962284.153.3
1961281.958.2
1960285.955.2
1959282.854.8
1958281.456
1957283.355.8
1956280.859.1
1955280.455.7
1954284.154
1953280.455.4
1952280.857
1951284.254.7
1950279.359.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaSouth Korea
2015301.7282.9–317.368.656.8–82
2016301.4280.8–312.570.353.5–81.8
2017302.5284.3–316.370.559.5–82.9
2018302.2286.8–316.569.156.9–81.2
2019300.1281.2–31874.663.1–84.4
2020303283.7–318.57157.6–83
2021305.1287.1–318.470.252.7–84.1
2022305.1286–319.572.563–81.2
2023305286.4–318.974.563.2–84.2
2024310.6295.1–321.573.558.6–87.1
2025307.5292–319.475.762.3–87.1
2026306.9286.1–322.97564–88.4
2027307.4288–321.774.163.4–88.9
2028310.7293.4–322.677.361.5–87.9
2029311.4293.3–324.475.463.1–86.7
2030310.6294.1–322.575.364.5–87.6
2031312.2295–324.876.763.6–87.3
2032310290–323.576.761–89.2
2033313292.9–32778.860–92.7
2034311.7294.8–325.177.264.7–87.2
2035314.5296.7–327.78168.9–92.1
2036313.5294.1–326.581.964.1–95
2037315.6297.9–327.178.465.8–89.3
2038316.9301.2–329.678.866.9–89.4
2039315.4299.4–328.277.564.7–89.2
2040315.6297.9–327.480.567.4–92.7
2041316.8300.6–330.280.966.4–97.7
2042316.3300.3–330.382.469.1–95
2043316298.4–32683.268.5–97.9
2044317.9299.5–329.683.169.3–91.6
2045316.6300.5–330.48170.4–92.2
2046317.8302.2–330.78668.3–95.2
2047319.8301.5–33383.469.7–96.7
2048320.1302.4–331.782.769.2–95.2
2049320.7305.3–331.781.669–96.8
2050320.9304–33581.569.8–93.8
2051321304.1–334.284.572.7–98.8
2052320.9303.9–333.583.167.8–98.5
2053320.9303.3–334.186.969.8–98.1
2054324.5304.5–338.284.773.3–97.5
2055322.2308.4–333.786.570.8–101.3
2056324.8305.8–336.385.874.5–99.8
2057326310.8–337.387.976.1–100.7
2058322.9307.4–334.286.275.2–99.4
2059325.7308.9–33986.766.9–100.4
2060323.8307.5–33786.371.9–101.9
2061324.4307.1–338.28974.8–99.5
2062325.7308–339.387.772.3–102.2
2063326.6308.7–33786.774.6–101.2
2064326.2311–339.886.673.6–100.3
2065327.6313.5–339.491.575.3–102.2
2066328.4311.3–339.689.272.6–100.5
2067326308.4–340.590.372.7–102.6
2068329.3311.2–342.990.473.8–106.4
2069326.6309.9–338.19174.5–102.5
2070327.4312.6–340.789.774.6–107
2071329.1313–341.192.674.9–107.9
2072330.3315.9–342.190.976.6–103.9
2073326.3309.5–34191.376.2–104
2074326.7311.4–341.491.974.6–107
2075328.9314.5–341.894.576.4–103.7
2076329.6313.4–34293.477.5–105.6
2077332.5314.4–343.395.776.3–107.2
2078329.8312.8–342.193.576.9–110.5
2079329.6313.8–340.691.179.2–105.7
2080331.7314.1–344.892.481.7–107.1
2081329.3311.6–343.793.878–108.8
2082329.3313.3–341.496.279.9–110.1
2083330.4315–342.294.481.1–108
2084330.5311.9–344.291.574.4–107.3
2085332.7316.6–343.69481.4–107.4
2086331.9316.3–343.693.678.5–111.5
2087330.7314.9–342.494.480.9–113.5
2088331.7313.2–342.793.779.8–108.5
2089331.1318.3–341.994.478.9–107
2090332.4312.7–343.997.979.5–109
2091333.3311–345.895.280.6–107.7
2092332.7313.8–345.79580–106.3
2093334.2318.6–344.995.379.5–109.9
2094334.2317.3–345.692.279.8–111
2095333.8319.3–346.394.884–112.2
2096332.5317.4–346.7100.481–113.2
2097331.8312.6–344.697.278.6–108.8
2098332.3316–343.797.479.9–110.4
2099333316.9–344.295.879.9–109.3
2100332.3318.5–34596.381.6–113.8

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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