Nigeria vs Rwanda

Nigeria vs Rwanda: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 2.4 nights in Rwanda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 301.5 nights, or 130 times that in Rwanda.

nights a year · CMIP6

Nigeria vs Rwanda: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 2.4 nights in Rwanda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 301.5 nights, or 130 times that in Rwanda.
NigeriaRwandaCMIP6 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 Rwanda at 34.2 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaRwanda
2014303.92.4
2013299.52.8
2012304.42.9
2011301.52.7
2010301.42.3
2009297.82.5
2008297.42
20072981.9
2006297.22.2
2005295.42
2004294.11.8
2003298.41.8
2002295.22.4
2001299.12.4
2000293.91.7
1999290.31.6
1998289.91.5
1997292.51
19962901.1
1995289.11.1
1994287.41.2
19932840.9
1992281.60.6
1991289.11.2
1990290.61.7
1989287.21.5
19882881.2
1987285.61.3
1986289.11.2
1985284.20.8
1984284.41
1983281.90.9
1982283.50.8
1981286.41.1
1980282.81.1
19792830.9
1978282.80.7
1977285.91.1
1976281.70.8
1975280.41
1974280.70.9
1973284.31.3
1972284.10.7
1971279.30.7
19702820.6
1969278.70.8
1968279.60.8
1967278.10.5
1966279.40.6
19652790.6
1964276.80.4
1963275.10.6
1962284.10.9
1961281.90.8
1960285.91.1
1959282.80.7
1958281.40.9
1957283.30.8
1956280.80.7
1955280.40.8
1954284.10.9
1953280.40.8
1952280.80.8
1951284.21
1950279.30.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaRwanda
2015301.7282.9–317.33.41.5–7.6
2016301.4280.8–312.52.91.2–5.6
2017302.5284.3–316.33.41.8–5.5
2018302.2286.8–316.53.81.8–7.1
2019300.1281.2–3183.61.3–6.9
2020303283.7–318.54.32.1–7.9
2021305.1287.1–318.44.22.6–7.5
2022305.1286–319.542.9–7.8
2023305286.4–318.94.41.9–8.4
2024310.6295.1–321.552–9.6
2025307.5292–319.44.42.1–9.5
2026306.9286.1–322.94.81.7–8.9
2027307.4288–321.74.92.1–8.7
2028310.7293.4–322.65.21.7–8.7
2029311.4293.3–324.45.43–9.2
2030310.6294.1–322.55.33.1–10.2
2031312.2295–324.86.63.4–10.4
2032310290–323.56.34–12.2
2033313292.9–3276.52.8–12
2034311.7294.8–325.16.13.3–12.4
2035314.5296.7–327.76.83.2–12.7
2036313.5294.1–326.56.83.7–12.7
2037315.6297.9–327.17.94.3–14.6
2038316.9301.2–329.68.44.1–15.3
2039315.4299.4–328.27.23.6–15.9
2040315.6297.9–327.47.74.3–14.8
2041316.8300.6–330.28.44.7–15
2042316.3300.3–330.38.44.4–20.2
2043316298.4–3267.83.8–16.5
2044317.9299.5–329.67.24.1–14.5
2045316.6300.5–330.49.24.6–21
2046317.8302.2–330.7124.6–24.1
2047319.8301.5–33311.25.4–26
2048320.1302.4–331.711.74.6–25.4
2049320.7305.3–331.712.25.7–26.7
2050320.9304–33511.75.4–22.9
2051321304.1–334.212.36.4–24
2052320.9303.9–333.514.56–26.1
2053320.9303.3–334.112.55–23.9
2054324.5304.5–338.212.85.6–34.3
2055322.2308.4–333.712.66.2–32.8
2056324.8305.8–336.3145.6–31.6
2057326310.8–337.314.96–32.3
2058322.9307.4–334.215.15.3–38.7
2059325.7308.9–33914.96.7–38.1
2060323.8307.5–33718.46.1–38.2
2061324.4307.1–338.216.65.9–40.7
2062325.7308–339.317.25.6–49.3
2063326.6308.7–33716.46.3–39.1
2064326.2311–339.821.76.3–40.1
2065327.6313.5–339.417.17.2–40.5
2066328.4311.3–339.618.37.2–42.5
2067326308.4–340.516.86.3–50.2
2068329.3311.2–342.919.76.6–53.2
2069326.6309.9–338.117.66–55
2070327.4312.6–340.718.17.6–53.8
2071329.1313–341.119.36.3–60
2072330.3315.9–342.122.18.7–49.3
2073326.3309.5–34124.39.2–61.7
2074326.7311.4–341.423.28.3–57.2
2075328.9314.5–341.821.86.3–53.9
2076329.6313.4–34226.77–59.7
2077332.5314.4–343.324.19.1–64.8
2078329.8312.8–342.121.48.3–62.1
2079329.6313.8–340.626.47.8–64.8
2080331.7314.1–344.828.78.2–62.2
2081329.3311.6–343.725.79–66.4
2082329.3313.3–341.427.59.2–63.2
2083330.4315–342.231.68.7–87
2084330.5311.9–344.231.39.4–78.4
2085332.7316.6–343.635.29.2–79.6
2086331.9316.3–343.6299.7–76.5
2087330.7314.9–342.430.69.5–80
2088331.7313.2–342.732.59.4–76.8
2089331.1318.3–341.927.49.3–82.1
2090332.4312.7–343.925.911.4–96.6
2091333.3311–345.843.28.7–89.1
2092332.7313.8–345.733.910.5–89.6
2093334.2318.6–344.935.510.9–91
2094334.2317.3–345.634.79.4–91.6
2095333.8319.3–346.340.412.9–106.1
2096332.5317.4–346.735.99.8–99.9
2097331.8312.6–344.632.69.9–89.6
2098332.3316–343.735.69.8–105.9
2099333316.9–344.232.810.9–105.8
2100332.3318.5–34534.211.1–102.5

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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