Côte d’Ivoire vs Kenya

Côte d’Ivoire vs Kenya: Tropical nights

Tropical nights in 2014: 341.6 nights in Côte d’Ivoire and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 96 nights, or 1.39 times that in Kenya.

Watch it change on the map

nights a year · CMIP6

Côte d’Ivoire vs Kenya: Tropical nightsTropical nights in 2014: 341.6 nights in Côte d’Ivoire and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Côte d’Ivoire, by 96 nights, or 1.39 times that in Kenya.
Côte d’IvoireKenyaCMIP6 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 Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearCôte d’IvoireKenya
2014341.6245.6
2013339.6245.4
2012342.3244.7
2011340.1245
2010338.6243.8
2009337.3242.3
2008337.1240.3
2007336.7240.9
2006336.6241.5
2005337.6241.2
2004334.8241.8
2003337.3240.8
2002336.1240.7
2001339.5242
2000334.6239.5
1999331.3237.8
1998332.7239.2
1997331.8236.9
1996329.9234.2
1995330.5232.9
1994327.9231.9
1993327.2227.4
1992322224.8
1991331.7233.8
1990334236.4
1989328.9234.5
1988327.5233.1
1987327.9232.6
1986329.2233
1985324.9228.7
1984325.8230.2
1983325.4226.7
1982324230.6
1981327232.9
1980323.1231.3
1979327.1229.6
1978324.2228.7
1977325.5229.9
1976321.7227.8
1975322.8225.9
1974322230.5
1973323.8230.4
1972322.4228.7
1971322226
1970322.2226.3
1969320.9225.9
1968319.8222.9
1967317.1224
1966318.4225.2
1965320224.2
1964314.7221.8
1963317.4220.2
1962324.1227.2
1961323.1228.3
1960325.5228.8
1959322.1228.3
1958322.4229.1
1957321.2228
1956321.2225.5
1955320.1228.7
1954325.6227.4
1953322.9227.6
1952319.4228.5
1951323.9228.3
1950317.8226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireKenya
2015339.1321.9–350.7246.9232.3–256.1
2016339.9324.6–349.1244.9230.1–255
2017340.5322.4–349.6248.1233.1–257.7
2018341.6327.4–351.6248.7237–257.4
2019338.5323.6–350.3247.1234.8–256.7
2020340.6324.2–352.9248.6233.2–259.2
2021340.8325.2–353.8249.5236.3–258.1
2022344327.2–353.4251.5239.7–259.5
2023341.2327.2–352.6251.8239–260.8
2024344.9331–353.9254.2239.1–263
2025342.4327.8–352.1251.5238.1–261.8
2026342.3326.6–353.3252.2237.2–263.3
2027343.9325.6–352.9252.8238.4–263.8
2028347.4333.6–355.5254.9241.9–264.2
2029347.2332.4–355.2256243.4–264.6
2030347.2332.1–353.8253.6240.6–263.1
2031349.3333.1–357.2256244.7–264.4
2032347.8331.5–356.9257243.8–267.1
2033348332.6–360.4256241.8–265.9
2034346.6331.7–355.8256.2241.2–267.9
2035348.9333.7–357.8256.7243.3–266.7
2036350.5332.7–359.1256.2242.4–266.7
2037349.8334.6–357.5258.7245.9–268.4
2038351.3338.9–358.2260.3244.5–268.9
2039350.6333.1–358.9259244.4–268
2040351.1336.2–359.6258.3246.2–269.8
2041350.8335.9–358260.7244.8–271.2
2042349.8337.3–358.6260.3246.5–272.7
2043348.4336.1–357.8259246.6–270.5
2044350.3337.5–359.2261.2248.8–270.9
2045351339.5–359.5261.8248.7–272.9
2046351.7337.6–358.6264.8249.6–275.3
2047352335.4–360.1264.4249.8–275.3
2048351.6339.9–360.3264.2252.3–274.9
2049353339.6–360.9265.2252.8–275.6
2050352340.6–359.3263.9249.8–275.1
2051353340.5–360.5265.4252.1–275.1
2052352339–359.8266.3252.6–276.2
2053352.7339–360.5265.2251–275.4
2054354.7339.5–360.9265.2250.2–277.2
2055353.4343.4–360.8266.8251.6–277.6
2056355.9339.6–362.8266.2251.2–277.8
2057356.3343–362266.8253–278
2058354.3344.5–361.3266.7251.5–277.9
2059355343.4–361.7269.8254.7–280.5
2060354.6343.3–362.1271.1253.9–280.7
2061354.6341.3–362.5267.5253.9–281.7
2062354.4340.8–361.3268.1254–281.2
2063355.4345.2–362.1268.9255–280.1
2064356.1344.6–362.9270254.1–279.8
2065355.5346.4–362.4269.4255.8–282.3
2066355.2344.5–361.2270.6258.1–281
2067355.3341.4–361.8270.7256.1–283
2068357.3346.3–363.6270.2256–283
2069355344.3–362.7269.8256.1–283.3
2070355.6344.2–362.3270.1255.8–282.6
2071356.8344.7–362.9271.9257.9–284.4
2072357.7346.2–363.1273.5260.3–283.8
2073356.6345.2–362.2273.1259.9–285.4
2074354.4342.1–362.7271.9257.5–285.4
2075356343.7–362.5271.1256.5–284.7
2076357.4348.5–363.3274.1258.6–285.8
2077358.1347.7–362.8273.4259–286.6
2078357.3346.8–363.2273.1260–284.4
2079357.4346.6–363.6273.3258.7–286.6
2080359.1349.4–364.7275.5259.4–286.9
2081358.8347.5–363.5274.7259.8–285.6
2082357346.9–363.4274.8261.3–286.4
2083357.8349.5–363.1274259.6–289.3
2084358.8349.3–363.4276.8259–288.8
2085359.7350.1–364276.2261.5–289.1
2086359347.7–363.8275.1260–289.1
2087358.8348.8–364.1276.2260.3–288.5
2088358347.4–363.7276.8261.6–289.7
2089357.4347.3–363.5275.9260.3–288.8
2090358.8346.1–363.9275.3260.5–290.5
2091358.3349.1–363.3277.7260.4–290.9
2092359.2347.5–364276.2261.2–290.7
2093359349.8–363.8276.9262–290.1
2094359.3350.1–363.1277262.8–288.9
2095358.1349.7–364278.4262.3–290.4
2096358.8348.3–365.1277.6260.5–292
2097358.9342.5–362.5277261–290.2
2098357.8348.1–363.6277.6262.3–291.5
2099359.2349.5–363.2277.9260.8–292.4
2100359.6348.3–363.8277261.8–290.4

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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