Benin vs Togo

Benin vs Togo: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 342.8 nights in Togo, in the CMIP6 climate models’ median run. In 2014 the value was higher in Togo, by 8.9 nights, or 1.03 times that in Benin.

nights a year · CMIP6

Benin vs Togo: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 342.8 nights in Togo, in the CMIP6 climate models’ median run. In 2014 the value was higher in Togo, by 8.9 nights, or 1.03 times that in Benin.
BeninTogoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Togo 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 Togo at 362.6 nights in 2100.

Every year

nights a year · CMIP6

YearBeninTogo
2014333.9342.8
2013328.9340.1
2012332.6343.2
2011330.1340.9
2010329.8340.4
2009325.2335.6
2008326.4337.3
2007325.2337.6
2006326.1337.2
2005324.3335.1
2004322.7333.5
2003327.4338.3
2002324335
2001329.4338.9
2000322.4333.6
1999317.9329.5
1998319.1329.5
1997320.6331.9
1996315.5326.6
1995316.5327.9
1994314.3325
1993313.5322.2
1992309.8319.2
1991316.1327.6
1990320.6331.3
1989313.1325.3
1988313.6325.7
1987313.3324.4
1986317.1328.4
1985314.6324.4
1984311.8320.8
1983308.8320.1
1982309.3319.6
1981314.8324.8
1980310.2320.3
1979311.9323.3
1978310320.5
1977314.4323.4
1976309.1318.5
1975307.3319.2
1974307.9317.6
1973311.8320.9
1972310.1320.1
1971305.9316.5
1970309.7318.5
1969305.9315.9
1968305.6314.6
1967305.6314.1
1966305.4315.8
1965306.1315.1
1964304.6312
1963304.6313.5
1962311.6320.9
1961307.4317.3
1960312.1322.3
1959312.4320
1958306.8318.1
1957311.8319.8
1956308.2316.4
1955308.6318.7
1954311.3323
1953307.4317.3
1952305.5315.6
1951309.4320.8
1950304.7314.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninTogo
2015328.6309.6–343.6339.6320.8–352.3
2016330.8309.8–342.5342.9322.9–352.8
2017330311.6–342.9340.8323–350.5
2018331.2315.3–345.2341.9325.2–353.6
2019328.1308–346.4339.6321.5–353.6
2020330.1308.7–348.1341.4323.5–354.4
2021332.7314.3–347.2342.9324.5–356.1
2022334.9314.5–347.9346.1324.6–355
2023331.8310.2–346.4343.2323.6–354.5
2024340.3323.4–351.1347.9332.3–355.9
2025335315.9–346.3344.6328.5–354.1
2026335.9313.3–353.1346.5325.4–356.2
2027335.8315.2–349.1345.4325.5–355.1
2028340.1321.3–351.9350.3332.1–358.1
2029338.6323.1–350.8348.9332.8–357.4
2030339.7321.7–350349.7334.1–357.9
2031343.8323.3–354.6351.8336.5–360.3
2032340.8318.1–351.4349.3329.1–357.5
2033343.1320.1–354.4351.7330.6–360.5
2034339.8319.2–352.6349.1333.8–358.3
2035342.7322–354.2352.3333.8–359.3
2036341.8320.2–355.2351.1336.3–360.6
2037344324.8–353.5352338.3–359.3
2038346.6334.6–355.1354.2344.7–360.2
2039344.5327.1–355.1354.5336.4–361
2040346327.6–355.8353.8338.7–361.7
2041345.5331.9–357.4354340.7–361
2042343.9328.1–358.9352.5339.6–361.3
2043345.7326.6–355.4351.6338.7–359.4
2044347.3329.7–358.8354.5342.4–361.6
2045342.6328–358.9351.8339.1–362.2
2046347.9332.2–357.8355.8340.9–361.5
2047349.6330.6–358.7355.9338.6–362.7
2048349.8334.6–358.1355.6344.9–361.9
2049350.7333.4–359.3356.7343.1–362.2
2050351334–360.2356.9346.1–362.5
2051350338.1–359.9356.8347.1–362.4
2052348.6332.5–359.5355.4343.1–362.5
2053351.3331.1–359.3356342–362.4
2054353.3336.1–360.3358.4343.9–363.1
2055350.7336.5–359.7356.9345.6–362.5
2056353.4337.9–362359.2347.6–364.7
2057355339.4–361.3359346.2–363.4
2058352.5338–360.1358.6347.4–362.9
2059354.9338.8–361.9358.8346.1–363.8
2060353.2337.9–360.9358.8346.2–363.8
2061353.8331.6–362359.5342–364.1
2062353.5334.3–361.4358.7345.2–363.3
2063355.1335.9–361.9358.9344.4–363.2
2064353.9338–363.1359.6349.2–364.7
2065355.3343.1–362.4360349.9–364
2066352.4339.8–360.1358.3349.6–362.9
2067355.7336.9–362.9359.9344.1–364.2
2068357.5341.2–363.6361.6350.4–364.7
2069353.4339.4–362.3358.5347.5–364.3
2070354.4341–361.7359.3350.2–364.4
2071356.4338.9–362.8360.1345.6–364.2
2072357.8343.2–363.8360.7349.9–365.2
2073356.1339.2–362.4360.1347.9–364.1
2074355.1339–362.4359.6345.9–364.2
2075356.2344.1–363.5360.6350.2–364.6
2076357343.3–362.6360.5352.6–364.7
2077357.3343.8–363.1360.7352.3–364.5
2078357.9344.2–363.3361.3351.2–364.6
2079357.3347.1–362.8361.1352–364.8
2080358.9344.5–365.3362.5353.2–365.7
2081357.1341.4–363.9361.2350.6–364.7
2082357.1341.9–362.2361349.7–364.3
2083358.4346.7–363.4361.5352.4–364.4
2084357.9343.1–364.6361.4351.1–365.2
2085359.5346–364.2361.8354.1–364.9
2086359.2344.3–364.1362.3351.6–364.8
2087357.6343.8–364.2361.6351.2–364.9
2088358.5341.9–364.2361.9349.1–365.2
2089357.1346.7–363.7360.8352.6–364.9
2090359.7343.6–363.8362.2350.5–364.8
2091358.6342.2–364.1361.7351.5–364.8
2092359.3342.5–364.9362.7349.1–365.6
2093360.3348–364.4362.8354.3–364.9
2094359347.2–364.5362.2354.7–364.8
2095358.6345.9–364.3361.6354.2–364.9
2096359.2344.5–365.5362.4353.6–365.9
2097358.4343.3–363.8361.3348.8–364.7
2098358.2346.2–363.8361.6351.3–364.6
2099358344.6–363.9360.9353.7–364.7
2100359.6348.3–364.5362.6353.8–364.9

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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