Nigeria vs Zimbabwe

Nigeria vs Zimbabwe: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 227.5 nights, or 3.98 times that in Zimbabwe.

Nigeria vs Zimbabwe: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 227.5 nights, or 3.98 times that in Zimbabwe.
NigeriaZimbabwe

Latest figures

nights a year · CMIP6

CountryLatest10 years beforeProjected
Nigeria303.9 2014294.1332.3 2100
Zimbabwe76.4 201471.8148.3 2100

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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaZimbabwe
2014303.976.4
2013299.578.4
2012304.475.9
2011301.573.3
2010301.471.5
2009297.869.6
2008297.469.8
200729869.3
2006297.270.3
2005295.469.5
2004294.171.8
2003298.472.9
2002295.271.3
2001299.171.3
2000293.967.4
1999290.362.3
1998289.966.3
1997292.562
199629057.7
1995289.158.9
1994287.456.8
199328450.1
1992281.652.1
1991289.158.7
1990290.661.5
1989287.260.4
198828861.6
1987285.657.3
1986289.158.6
1985284.254.1
1984284.454.6
1983281.953.3
1982283.553.7
1981286.457
1980282.857.3
197928356.2
1978282.853.1
1977285.955.2
1976281.751.2
1975280.453.6
1974280.754.2
1973284.353.9
1972284.153.2
1971279.351.1
197028253.1
1969278.753.3
1968279.648.7
1967278.148.7
1966279.448.8
196527948.6
1964276.844.6
1963275.147.4
1962284.155.8
1961281.951.6
1960285.955.6
1959282.853.6
1958281.455.3
1957283.353.2
1956280.848.6
1955280.454.4
1954284.153
1953280.451.8
1952280.852.7
1951284.252.3
1950279.351.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaZimbabwe
2015301.7282.9–317.379.463.5–98.5
2016301.4280.8–312.578.657.9–101.7
2017302.5284.3–316.381.263.3–98.5
2018302.2286.8–316.582.160.5–104.1
2019300.1281.2–31882.863.9–102.3
2020303283.7–318.584.362.9–106.9
2021305.1287.1–318.482.564.7–102.7
2022305.1286–319.589.870.1–108.8
2023305286.4–318.990.672.5–110.7
2024310.6295.1–321.593.769.8–113.4
2025307.5292–319.48865.1–114.6
2026306.9286.1–322.989.767.8–113.9
2027307.4288–321.795.668.4–119.6
2028310.7293.4–322.693.371.4–115.7
2029311.4293.3–324.4100.277.2–120
2030310.6294.1–322.59671.6–115.3
2031312.2295–324.89874.9–119.8
2032310290–323.598.574.7–118.5
2033313292.9–32798.974–120.6
2034311.7294.8–325.1100.277.3–128.1
2035314.5296.7–327.7103.975.7–130.6
2036313.5294.1–326.5100.878–123
2037315.6297.9–327.110882.1–131.1
2038316.9301.2–329.6110.986.5–135
2039315.4299.4–328.2102.480.4–122.3
2040315.6297.9–327.4101.379.5–133.5
2041316.8300.6–330.2108.483.7–134.2
2042316.3300.3–330.3108.883.1–139.9
2043316298.4–326107.985.7–137.3
2044317.9299.5–329.6111.287–134.8
2045316.6300.5–330.4106.186.2–130.7
2046317.8302.2–330.7112.386.4–139.1
2047319.8301.5–333119.692.1–145.9
2048320.1302.4–331.7116.888.4–143.9
2049320.7305.3–331.7119.290.4–146.2
2050320.9304–335122.794.1–148.6
2051321304.1–334.2122.4100.9–147.7
2052320.9303.9–333.5124.2101.3–152.8
2053320.9303.3–334.1121.689–146.9
2054324.5304.5–338.2123.993.9–150.8
2055322.2308.4–333.7126.597.9–153.7
2056324.8305.8–336.3126.198–154.7
2057326310.8–337.3122.797.6–150.7
2058322.9307.4–334.2125.3103–154.1
2059325.7308.9–339132.2107.4–157.4
2060323.8307.5–337132.599.9–159
2061324.4307.1–338.2126.694.2–161.1
2062325.7308–339.3126.399.6–157.3
2063326.6308.7–337127.7101–159.7
2064326.2311–339.8130.498–151.3
2065327.6313.5–339.4132.4107.6–165.6
2066328.4311.3–339.6134.5106.8–159.8
2067326308.4–340.5125.598.9–160.5
2068329.3311.2–342.9134102.3–166.1
2069326.6309.9–338.1136.9106.4–164.2
2070327.4312.6–340.7133.199.8–166.3
2071329.1313–341.1135.2108.4–173.7
2072330.3315.9–342.1140.4110.6–166.8
2073326.3309.5–341140.9109.7–173.6
2074326.7311.4–341.4135.5112–170.6
2075328.9314.5–341.8136108.5–166.6
2076329.6313.4–342133.7105.9–163.7
2077332.5314.4–343.3140.2114.3–170.6
2078329.8312.8–342.1137.5111.3–172.3
2079329.6313.8–340.6136.9110.2–172.6
2080331.7314.1–344.8145115.8–173.2
2081329.3311.6–343.7147.2106.5–174.1
2082329.3313.3–341.4141.4111.4–169.9
2083330.4315–342.2143.6106.5–179.2
2084330.5311.9–344.2149.4117.3–176.9
2085332.7316.6–343.6154.3114.9–182.7
2086331.9316.3–343.6141.7115.3–176.1
2087330.7314.9–342.4142.7116.8–177.3
2088331.7313.2–342.7150.2118.3–178.9
2089331.1318.3–341.9148.9121.3–176.4
2090332.4312.7–343.9145.7113.7–179.4
2091333.3311–345.8149.7116.5–181.8
2092332.7313.8–345.7149.4119.7–181.7
2093334.2318.6–344.9152.5117.1–184.1
2094334.2317.3–345.6150.9117.3–182.2
2095333.8319.3–346.3155118.3–181.5
2096332.5317.4–346.7152.4113.1–189.2
2097331.8312.6–344.6144.1113.8–183.3
2098332.3316–343.7152.4119.2–187
2099333316.9–344.2152.9117.3–185
2100332.3318.5–345148.3120.1–184.6

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