Côte d’Ivoire vs Tanzania

Côte d’Ivoire vs Tanzania: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 235.3 nights, or 3.21 times that in Tanzania.

nights a year · CMIP6

Côte d’Ivoire vs Tanzania: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 235.3 nights, or 3.21 times that in Tanzania.
Côte d’IvoireTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Côte d’Ivoire has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Côte d’Ivoire at 359.6 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireTanzania
2014341.6106.3
2013339.6105.5
2012342.3108.4
2011340.1109
2010338.6103.9
2009337.3101.1
2008337.1100.3
2007336.799.5
2006336.6100.4
2005337.698.7
2004334.8100.4
2003337.399.6
2002336.198.4
2001339.5101.5
2000334.694.9
1999331.394.2
1998332.796.8
1997331.893.5
1996329.989.6
1995330.588.5
1994327.985.4
1993327.281.2
199232280.1
1991331.789.6
199033491.1
1989328.989.1
1988327.587.6
1987327.988.5
1986329.289.4
1985324.983
1984325.883.1
1983325.482.1
198232484.8
198132788
1980323.185
1979327.185.5
1978324.282.9
1977325.584.1
1976321.781
1975322.880.8
197432282.2
1973323.883.6
1972322.481.4
197132280.7
1970322.281.8
1969320.979.5
1968319.879.1
1967317.177.5
1966318.478.1
196532078
1964314.773.8
1963317.473.1
1962324.181.1
1961323.182.6
1960325.583.9
1959322.181.4
1958322.482.1
1957321.280.9
1956321.280
1955320.181.6
1954325.681.4
1953322.980.6
1952319.481.4
1951323.982.1
1950317.880.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireTanzania
2015339.1321.9–350.7114.895.2–137.4
2016339.9324.6–349.1108.391.6–125.6
2017340.5322.4–349.6114.893.6–137.8
2018341.6327.4–351.6116.497.4–137.1
2019338.5323.6–350.3113.495.2–133.2
2020340.6324.2–352.9119.396.2–143.5
2021340.8325.2–353.8119.5100.9–147.1
2022344327.2–353.4124.4105.3–147.4
2023341.2327.2–352.6122.1102.1–147.8
2024344.9331–353.9126.2100–150.1
2025342.4327.8–352.1124.6100.9–154
2026342.3326.6–353.3126.999.1–155.6
2027343.9325.6–352.9128102.9–147.7
2028347.4333.6–355.5129.9106.4–152.1
2029347.2332.4–355.2134.1111–156.5
2030347.2332.1–353.8129.4106.4–151.1
2031349.3333.1–357.2136.4115.9–158.4
2032347.8331.5–356.9135.1114–166.8
2033348332.6–360.4135.2110.9–161.9
2034346.6331.7–355.8134.7112.5–166.3
2035348.9333.7–357.8140.2114.6–165
2036350.5332.7–359.1137.8113.3–165.5
2037349.8334.6–357.5142.9121.5–168.9
2038351.3338.9–358.2147.9124.3–169.3
2039350.6333.1–358.9144.3117.6–171.3
2040351.1336.2–359.6140.5117–178
2041350.8335.9–358149.1121.7–175.6
2042349.8337.3–358.6146.3120.5–185.3
2043348.4336.1–357.8144.6117–173
2044350.3337.5–359.2147.7121.2–175.8
2045351339.5–359.5150.1125.2–183.4
2046351.7337.6–358.6161.5128.6–192.2
2047352335.4–360.1160.2129.7–194.4
2048351.6339.9–360.3158.8132.7–193.1
2049353339.6–360.9157.6131.1–196
2050352340.6–359.3159.7127.8–192
2051353340.5–360.5163.2135.5–197.8
2052352339–359.8161.9136.2–199.1
2053352.7339–360.5160.6127.5–197.7
2054354.7339.5–360.9163.2131.5–200.2
2055353.4343.4–360.8167.4137–208.3
2056355.9339.6–362.8166.4130.8–209.7
2057356.3343–362168134.6–208.3
2058354.3344.5–361.3168.7134.9–210.3
2059355343.4–361.7174.7144.9–219.5
2060354.6343.3–362.1181.7138.1–219.8
2061354.6341.3–362.5171.8135.5–218.1
2062354.4340.8–361.3177.5139.9–224
2063355.4345.2–362.1181.4140.1–213.8
2064356.1344.6–362.9185.3140.1–215.2
2065355.5346.4–362.4183.5141.1–221.8
2066355.2344.5–361.2181.9146.3–219.3
2067355.3341.4–361.8178.8138.8–229.2
2068357.3346.3–363.6186144.2–228.4
2069355344.3–362.7183.7141.7–225.3
2070355.6344.2–362.3180.7140.4–228.2
2071356.8344.7–362.9184.9146.9–235.2
2072357.7346.2–363.1191.3155–226.1
2073356.6345.2–362.2191.6152.4–235.6
2074354.4342.1–362.7183.3149.7–231.7
2075356343.7–362.5183.8144.8–233
2076357.4348.5–363.3191.1150.9–233.2
2077358.1347.7–362.8191.3152.6–238.2
2078357.3346.8–363.2189156.6–233.8
2079357.4346.6–363.6190.5147–237.3
2080359.1349.4–364.7197.3150.7–241.2
2081358.8347.5–363.5195.6153.4–237.4
2082357346.9–363.4194.5157.3–237.3
2083357.8349.5–363.1193.2151–249.8
2084358.8349.3–363.4201.1152.2–246.7
2085359.7350.1–364204.2162.3–252.3
2086359347.7–363.8195156–248.7
2087358.8348.8–364.1196.7160.8–244.5
2088358347.4–363.7208.4154.7–246.9
2089357.4347.3–363.5201.3158.6–248.2
2090358.8346.1–363.9197.9160.7–253.6
2091358.3349.1–363.3210161.6–256
2092359.2347.5–364205.8158.3–253.6
2093359349.8–363.8207.2161.2–251.9
2094359.3350.1–363.1207.9161.3–250.6
2095358.1349.7–364214.2166.4–258.5
2096358.8348.3–365.1205.3159.8–257.4
2097358.9342.5–362.5206.6158.4–256.8
2098357.8348.1–363.6209.1161–258.3
2099359.2349.5–363.2208.5160.1–256
2100359.6348.3–363.8208158.6–258.6

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

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