Benin vs Tanzania

Benin vs Tanzania: Tropical nights

Tropical nights in 2014: 333.9 nights in Benin and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 227.6 nights, or 3.14 times that in Tanzania.

nights a year · CMIP6

Benin vs Tanzania: Tropical nightsTropical nights in 2014: 333.9 nights in Benin and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Benin, by 227.6 nights, or 3.14 times that in Tanzania.
BeninTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearBeninTanzania
2014333.9106.3
2013328.9105.5
2012332.6108.4
2011330.1109
2010329.8103.9
2009325.2101.1
2008326.4100.3
2007325.299.5
2006326.1100.4
2005324.398.7
2004322.7100.4
2003327.499.6
200232498.4
2001329.4101.5
2000322.494.9
1999317.994.2
1998319.196.8
1997320.693.5
1996315.589.6
1995316.588.5
1994314.385.4
1993313.581.2
1992309.880.1
1991316.189.6
1990320.691.1
1989313.189.1
1988313.687.6
1987313.388.5
1986317.189.4
1985314.683
1984311.883.1
1983308.882.1
1982309.384.8
1981314.888
1980310.285
1979311.985.5
197831082.9
1977314.484.1
1976309.181
1975307.380.8
1974307.982.2
1973311.883.6
1972310.181.4
1971305.980.7
1970309.781.8
1969305.979.5
1968305.679.1
1967305.677.5
1966305.478.1
1965306.178
1964304.673.8
1963304.673.1
1962311.681.1
1961307.482.6
1960312.183.9
1959312.481.4
1958306.882.1
1957311.880.9
1956308.280
1955308.681.6
1954311.381.4
1953307.480.6
1952305.581.4
1951309.482.1
1950304.780.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBeninTanzania
2015328.6309.6–343.6114.895.2–137.4
2016330.8309.8–342.5108.391.6–125.6
2017330311.6–342.9114.893.6–137.8
2018331.2315.3–345.2116.497.4–137.1
2019328.1308–346.4113.495.2–133.2
2020330.1308.7–348.1119.396.2–143.5
2021332.7314.3–347.2119.5100.9–147.1
2022334.9314.5–347.9124.4105.3–147.4
2023331.8310.2–346.4122.1102.1–147.8
2024340.3323.4–351.1126.2100–150.1
2025335315.9–346.3124.6100.9–154
2026335.9313.3–353.1126.999.1–155.6
2027335.8315.2–349.1128102.9–147.7
2028340.1321.3–351.9129.9106.4–152.1
2029338.6323.1–350.8134.1111–156.5
2030339.7321.7–350129.4106.4–151.1
2031343.8323.3–354.6136.4115.9–158.4
2032340.8318.1–351.4135.1114–166.8
2033343.1320.1–354.4135.2110.9–161.9
2034339.8319.2–352.6134.7112.5–166.3
2035342.7322–354.2140.2114.6–165
2036341.8320.2–355.2137.8113.3–165.5
2037344324.8–353.5142.9121.5–168.9
2038346.6334.6–355.1147.9124.3–169.3
2039344.5327.1–355.1144.3117.6–171.3
2040346327.6–355.8140.5117–178
2041345.5331.9–357.4149.1121.7–175.6
2042343.9328.1–358.9146.3120.5–185.3
2043345.7326.6–355.4144.6117–173
2044347.3329.7–358.8147.7121.2–175.8
2045342.6328–358.9150.1125.2–183.4
2046347.9332.2–357.8161.5128.6–192.2
2047349.6330.6–358.7160.2129.7–194.4
2048349.8334.6–358.1158.8132.7–193.1
2049350.7333.4–359.3157.6131.1–196
2050351334–360.2159.7127.8–192
2051350338.1–359.9163.2135.5–197.8
2052348.6332.5–359.5161.9136.2–199.1
2053351.3331.1–359.3160.6127.5–197.7
2054353.3336.1–360.3163.2131.5–200.2
2055350.7336.5–359.7167.4137–208.3
2056353.4337.9–362166.4130.8–209.7
2057355339.4–361.3168134.6–208.3
2058352.5338–360.1168.7134.9–210.3
2059354.9338.8–361.9174.7144.9–219.5
2060353.2337.9–360.9181.7138.1–219.8
2061353.8331.6–362171.8135.5–218.1
2062353.5334.3–361.4177.5139.9–224
2063355.1335.9–361.9181.4140.1–213.8
2064353.9338–363.1185.3140.1–215.2
2065355.3343.1–362.4183.5141.1–221.8
2066352.4339.8–360.1181.9146.3–219.3
2067355.7336.9–362.9178.8138.8–229.2
2068357.5341.2–363.6186144.2–228.4
2069353.4339.4–362.3183.7141.7–225.3
2070354.4341–361.7180.7140.4–228.2
2071356.4338.9–362.8184.9146.9–235.2
2072357.8343.2–363.8191.3155–226.1
2073356.1339.2–362.4191.6152.4–235.6
2074355.1339–362.4183.3149.7–231.7
2075356.2344.1–363.5183.8144.8–233
2076357343.3–362.6191.1150.9–233.2
2077357.3343.8–363.1191.3152.6–238.2
2078357.9344.2–363.3189156.6–233.8
2079357.3347.1–362.8190.5147–237.3
2080358.9344.5–365.3197.3150.7–241.2
2081357.1341.4–363.9195.6153.4–237.4
2082357.1341.9–362.2194.5157.3–237.3
2083358.4346.7–363.4193.2151–249.8
2084357.9343.1–364.6201.1152.2–246.7
2085359.5346–364.2204.2162.3–252.3
2086359.2344.3–364.1195156–248.7
2087357.6343.8–364.2196.7160.8–244.5
2088358.5341.9–364.2208.4154.7–246.9
2089357.1346.7–363.7201.3158.6–248.2
2090359.7343.6–363.8197.9160.7–253.6
2091358.6342.2–364.1210161.6–256
2092359.3342.5–364.9205.8158.3–253.6
2093360.3348–364.4207.2161.2–251.9
2094359347.2–364.5207.9161.3–250.6
2095358.6345.9–364.3214.2166.4–258.5
2096359.2344.5–365.5205.3159.8–257.4
2097358.4343.3–363.8206.6158.4–256.8
2098358.2346.2–363.8209.1161–258.3
2099358344.6–363.9208.5160.1–256
2100359.6348.3–364.5208158.6–258.6

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

Benin vs Tanzania

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment