Benin vs Burundi

Benin vs Burundi: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 28.5 nights in Burundi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 305.4 nights, or 12 times that in Burundi.

Watch it change on the map

nights a year · CMIP6

Benin vs Burundi: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 28.5 nights in Burundi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 305.4 nights, or 12 times that in Burundi.
BeninBurundiCMIP6 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 Burundi at 67.4 nights in 2100.

Every year

nights a year · CMIP6

YearBeninBurundi
2014333.928.5
2013328.928.4
2012332.628.8
2011330.128.9
2010329.827.9
2009325.227.9
2008326.427.8
2007325.227.6
2006326.127.7
2005324.327.5
2004322.727.6
2003327.427.6
200232427.6
2001329.427.7
2000322.427.3
1999317.927.1
1998319.127.1
1997320.627.2
1996315.526.9
1995316.526.8
1994314.326.5
1993313.526.2
1992309.826.1
1991316.127
1990320.626.8
1989313.126.7
1988313.626.6
1987313.326.6
1986317.126.7
1985314.626.3
1984311.826.4
1983308.826.4
1982309.326.5
1981314.826.8
1980310.226.4
1979311.926.6
197831026.3
1977314.426.5
1976309.126.4
1975307.326.3
1974307.926.3
1973311.826.3
1972310.126.2
1971305.926.1
1970309.726.1
1969305.926.1
1968305.626
1967305.625.8
1966305.425.9
1965306.126.1
1964304.625.7
1963304.625.7
1962311.626.2
1961307.426.4
1960312.126.5
1959312.426.2
1958306.826.2
1957311.826.1
1956308.226.1
1955308.626.2
1954311.326.2
1953307.426.3
1952305.526.2
1951309.426.2
1950304.726.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninBurundi
2015328.6309.6–343.629.627–36
2016330.8309.8–342.528.826.7–32.5
2017330311.6–342.93027–33.7
2018331.2315.3–345.230.327.4–34.4
2019328.1308–346.429.727.4–33.7
2020330.1308.7–348.130.927.7–37.7
2021332.7314.3–347.230.627.8–37
2022334.9314.5–347.930.828.5–36.7
2023331.8310.2–346.430.528–36.7
2024340.3323.4–351.132.127.9–39
2025335315.9–346.331.527.1–38.7
2026335.9313.3–353.131.927.4–38.3
2027335.8315.2–349.131.427.9–37.9
2028340.1321.3–351.932.328.4–37.9
2029338.6323.1–350.833.229–38.9
2030339.7321.7–35032.728.1–39.9
2031343.8323.3–354.633.930–40.9
2032340.8318.1–351.433.829.9–43.1
2033343.1320.1–354.434.129.6–43.1
2034339.8319.2–352.633.829.8–45.5
2035342.7322–354.235.228.9–43.2
2036341.8320.2–355.234.729.5–45.8
2037344324.8–353.536.830.3–48.2
2038346.6334.6–355.137.631.9–45.5
2039344.5327.1–355.136.929.5–47.7
2040346327.6–355.83630.7–49.3
2041345.5331.9–357.437.531.7–47.9
2042343.9328.1–358.93731.3–53.9
2043345.7326.6–355.436.829.7–48.4
2044347.3329.7–358.837.429.9–48.5
2045342.6328–358.93932–53.6
2046347.9332.2–357.842.631.9–57.3
2047349.6330.6–358.741.632.9–56.2
2048349.8334.6–358.143.232.5–57.9
2049350.7333.4–359.342.333.1–56.8
2050351334–360.243.331.4–55.8
2051350338.1–359.942.833–60
2052348.6332.5–359.544.333.2–62.1
2053351.3331.1–359.342.432.4–59.4
2054353.3336.1–360.344.532.8–68.5
2055350.7336.5–359.744.234.5–64.8
2056353.4337.9–36244.132.4–63.2
2057355339.4–361.345.534.3–65.8
2058352.5338–360.148.132.4–69.9
2059354.9338.8–361.947.736.2–69.1
2060353.2337.9–360.949.734.6–73
2061353.8331.6–36250.833.4–71.8
2062353.5334.3–361.449.534.2–78.1
2063355.1335.9–361.948.434.2–67.7
2064353.9338–363.152.134.6–70.5
2065355.3343.1–362.450.835.2–72.2
2066352.4339.8–360.151.336.5–72.8
2067355.7336.9–362.952.334.3–81.3
2068357.5341.2–363.651.335.2–81.5
2069353.4339.4–362.350.134–76
2070354.4341–361.750.835.4–83.9
2071356.4338.9–362.851.235.5–90.8
2072357.8343.2–363.853.338.9–80
2073356.1339.2–362.456.538.6–89
2074355.1339–362.453.736.7–82.1
2075356.2344.1–363.553.435–83
2076357343.3–362.658.636.5–90.7
2077357.3343.8–363.155.738.4–95.2
2078357.9344.2–363.355.938.6–89.1
2079357.3347.1–362.860.637.3–91.2
2080358.9344.5–365.361.638–89.4
2081357.1341.4–363.959.339.3–91.1
2082357.1341.9–362.261.139–95
2083358.4346.7–363.458.238.4–111.2
2084357.9343.1–364.665.239.6–104.5
2085359.5346–364.267.340.2–110.3
2086359.2344.3–364.161.340.8–104.5
2087357.6343.8–364.265.240.1–107.8
2088358.5341.9–364.266.340.9–101.4
2089357.1346.7–363.761.240.2–100.9
2090359.7343.6–363.859.540.9–115.5
2091358.6342.2–364.171.541.2–115.8
2092359.3342.5–364.964.742.1–120.7
2093360.3348–364.467.341.4–113.8
2094359347.2–364.567.342.1–115.2
2095358.6345.9–364.372.544.4–126.1
2096359.2344.5–365.565.841.2–122.9
2097358.4343.3–363.863.939.5–121.8
2098358.2346.2–363.868.640.3–128.1
2099358344.6–363.963.440.9–122.9
2100359.6348.3–364.567.441.2–126.5

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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