Benin vs Malawi

Benin vs Malawi: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 195.8 nights, or 2.42 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Benin vs Malawi: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 195.8 nights, or 2.42 times that in Malawi.
BeninMalawiCMIP6 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 Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearBeninMalawi
2014333.9138.1
2013328.9138.9
2012332.6137.4
2011330.1136.6
2010329.8132.4
2009325.2131.4
2008326.4130.8
2007325.2132.8
2006326.1129.8
2005324.3129.5
2004322.7133.4
2003327.4132.5
2002324130.3
2001329.4134
2000322.4126.6
1999317.9124.8
1998319.1127.1
1997320.6124.2
1996315.5121.3
1995316.5120.9
1994314.3118.4
1993313.5113.8
1992309.8114.1
1991316.1120.9
1990320.6123.8
1989313.1120.5
1988313.6120.8
1987313.3118.8
1986317.1121.1
1985314.6115.7
1984311.8116.2
1983308.8115.5
1982309.3115.1
1981314.8119
1980310.2116.9
1979311.9117.7
1978310114.8
1977314.4117.2
1976309.1114
1975307.3114
1974307.9115.2
1973311.8114.7
1972310.1113.8
1971305.9114.1
1970309.7115.8
1969305.9114.3
1968305.6110
1967305.6109.8
1966305.4111
1965306.1111.5
1964304.6106.3
1963304.6107.5
1962311.6114.7
1961307.4116
1960312.1117.4
1959312.4115.6
1958306.8116.4
1957311.8114.6
1956308.2111.4
1955308.6115.2
1954311.3113.9
1953307.4113
1952305.5113.5
1951309.4113.5
1950304.7112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninMalawi
2015328.6309.6–343.6145.7126.7–164.3
2016330.8309.8–342.5139.8122.6–157.4
2017330311.6–342.9143.6127–161.8
2018331.2315.3–345.2143.1124.6–162.6
2019328.1308–346.4143.8128.3–161.4
2020330.1308.7–348.1145127.3–165.8
2021332.7314.3–347.2145.3128–163.6
2022334.9314.5–347.9151130.1–169.1
2023331.8310.2–346.4149.2129.5–171.2
2024340.3323.4–351.1152.4130–172.6
2025335315.9–346.3151.1129.7–170.4
2026335.9313.3–353.1151.1126.2–173.8
2027335.8315.2–349.1154.4135.1–173.1
2028340.1321.3–351.9155.5134.6–174
2029338.6323.1–350.8159.8139.2–178.5
2030339.7321.7–350155.6138.7–174.5
2031343.8323.3–354.6161.1143.4–177.6
2032340.8318.1–351.4160.8141.3–181.3
2033343.1320.1–354.4161.3135.6–179.2
2034339.8319.2–352.6160.9138.9–185
2035342.7322–354.2164.3140.4–189.5
2036341.8320.2–355.2163.8137.6–182.5
2037344324.8–353.5166.9144.6–189.2
2038346.6334.6–355.1172.2148.4–191.2
2039344.5327.1–355.1164.8147.3–188.2
2040346327.6–355.8164.4146.4–189.7
2041345.5331.9–357.4169.3143.7–192.5
2042343.9328.1–358.9169.8146.3–197.8
2043345.7326.6–355.4167.5147.1–193.2
2044347.3329.7–358.8172.6148.3–197
2045342.6328–358.9170.4153.1–194.7
2046347.9332.2–357.8176.3151.2–203.1
2047349.6330.6–358.7178.7157.8–200.9
2048349.8334.6–358.1180.7158.9–204.1
2049350.7333.4–359.3176.7154–205.4
2050351334–360.2180.4155.2–204.9
2051350338.1–359.9182.9162.1–207.4
2052348.6332.5–359.5184.9163.2–209.6
2053351.3331.1–359.3177.2149.6–207.4
2054353.3336.1–360.3185.1157.1–208
2055350.7336.5–359.7186.1159.2–212.6
2056353.4337.9–362184.6158.5–214.3
2057355339.4–361.3184.7159.3–212.3
2058352.5338–360.1188.5163.8–214.7
2059354.9338.8–361.9189.8166.9–218.5
2060353.2337.9–360.9192.6163.4–218.1
2061353.8331.6–362186.4158.8–216.8
2062353.5334.3–361.4192.3163.9–218.6
2063355.1335.9–361.9189.2165.2–220.3
2064353.9338–363.1197161.3–218
2065355.3343.1–362.4193.1165.8–225.2
2066352.4339.8–360.1201170.1–224.7
2067355.7336.9–362.9193.1164.2–223.7
2068357.5341.2–363.6198.6163.7–227.1
2069353.4339.4–362.3199.4165.8–225
2070354.4341–361.7198.7168–226.7
2071356.4338.9–362.8199.3167.9–233.5
2072357.8343.2–363.8202.3173.2–226.2
2073356.1339.2–362.4205.4168.2–233.4
2074355.1339–362.4198.2175.4–227.7
2075356.2344.1–363.5199.6168.9–228.3
2076357343.3–362.6198.8169.8–225.2
2077357.3343.8–363.1202172.2–231.2
2078357.9344.2–363.3203.5175.8–232.1
2079357.3347.1–362.8203.6172.2–236.1
2080358.9344.5–365.3204.7172.2–234.3
2081357.1341.4–363.9202.2174.9–231.3
2082357.1341.9–362.2204.3178.3–228.6
2083358.4346.7–363.4205.8170.7–238.3
2084357.9343.1–364.6208.1175.9–235.6
2085359.5346–364.2211.1179.4–241
2086359.2344.3–364.1203.3175.4–237
2087357.6343.8–364.2205.3181.2–237.7
2088358.5341.9–364.2211.6174.7–240.6
2089357.1346.7–363.7208.9180.5–237.8
2090359.7343.6–363.8209.4173.4–243
2091358.6342.2–364.1214.3179.7–244.8
2092359.3342.5–364.9213.2176.8–242.3
2093360.3348–364.4212.5177.8–242.2
2094359347.2–364.5211.8179.7–241.5
2095358.6345.9–364.3216.9185–243.8
2096359.2344.5–365.5213.1182–247.6
2097358.4343.3–363.8210.8174.9–242.1
2098358.2346.2–363.8214.4181.5–242.2
2099358344.6–363.9213.5181.9–244.1
2100359.6348.3–364.5213.3181.5–246.3

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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