Kenya vs Zimbabwe

Kenya vs Zimbabwe: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 169.2 nights, or 3.22 times that in Zimbabwe.

nights a year · CMIP6

Kenya vs Zimbabwe: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 169.2 nights, or 3.22 times that in Zimbabwe.
KenyaZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Kenya at 277 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaZimbabwe
2014245.676.4
2013245.478.4
2012244.775.9
201124573.3
2010243.871.5
2009242.369.6
2008240.369.8
2007240.969.3
2006241.570.3
2005241.269.5
2004241.871.8
2003240.872.9
2002240.771.3
200124271.3
2000239.567.4
1999237.862.3
1998239.266.3
1997236.962
1996234.257.7
1995232.958.9
1994231.956.8
1993227.450.1
1992224.852.1
1991233.858.7
1990236.461.5
1989234.560.4
1988233.161.6
1987232.657.3
198623358.6
1985228.754.1
1984230.254.6
1983226.753.3
1982230.653.7
1981232.957
1980231.357.3
1979229.656.2
1978228.753.1
1977229.955.2
1976227.851.2
1975225.953.6
1974230.554.2
1973230.453.9
1972228.753.2
197122651.1
1970226.353.1
1969225.953.3
1968222.948.7
196722448.7
1966225.248.8
1965224.248.6
1964221.844.6
1963220.247.4
1962227.255.8
1961228.351.6
1960228.855.6
1959228.353.6
1958229.155.3
195722853.2
1956225.548.6
1955228.754.4
1954227.453
1953227.651.8
1952228.552.7
1951228.352.3
1950226.351.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaZimbabwe
2015246.9232.3–256.179.463.5–98.5
2016244.9230.1–25578.657.9–101.7
2017248.1233.1–257.781.263.3–98.5
2018248.7237–257.482.160.5–104.1
2019247.1234.8–256.782.863.9–102.3
2020248.6233.2–259.284.362.9–106.9
2021249.5236.3–258.182.564.7–102.7
2022251.5239.7–259.589.870.1–108.8
2023251.8239–260.890.672.5–110.7
2024254.2239.1–26393.769.8–113.4
2025251.5238.1–261.88865.1–114.6
2026252.2237.2–263.389.767.8–113.9
2027252.8238.4–263.895.668.4–119.6
2028254.9241.9–264.293.371.4–115.7
2029256243.4–264.6100.277.2–120
2030253.6240.6–263.19671.6–115.3
2031256244.7–264.49874.9–119.8
2032257243.8–267.198.574.7–118.5
2033256241.8–265.998.974–120.6
2034256.2241.2–267.9100.277.3–128.1
2035256.7243.3–266.7103.975.7–130.6
2036256.2242.4–266.7100.878–123
2037258.7245.9–268.410882.1–131.1
2038260.3244.5–268.9110.986.5–135
2039259244.4–268102.480.4–122.3
2040258.3246.2–269.8101.379.5–133.5
2041260.7244.8–271.2108.483.7–134.2
2042260.3246.5–272.7108.883.1–139.9
2043259246.6–270.5107.985.7–137.3
2044261.2248.8–270.9111.287–134.8
2045261.8248.7–272.9106.186.2–130.7
2046264.8249.6–275.3112.386.4–139.1
2047264.4249.8–275.3119.692.1–145.9
2048264.2252.3–274.9116.888.4–143.9
2049265.2252.8–275.6119.290.4–146.2
2050263.9249.8–275.1122.794.1–148.6
2051265.4252.1–275.1122.4100.9–147.7
2052266.3252.6–276.2124.2101.3–152.8
2053265.2251–275.4121.689–146.9
2054265.2250.2–277.2123.993.9–150.8
2055266.8251.6–277.6126.597.9–153.7
2056266.2251.2–277.8126.198–154.7
2057266.8253–278122.797.6–150.7
2058266.7251.5–277.9125.3103–154.1
2059269.8254.7–280.5132.2107.4–157.4
2060271.1253.9–280.7132.599.9–159
2061267.5253.9–281.7126.694.2–161.1
2062268.1254–281.2126.399.6–157.3
2063268.9255–280.1127.7101–159.7
2064270254.1–279.8130.498–151.3
2065269.4255.8–282.3132.4107.6–165.6
2066270.6258.1–281134.5106.8–159.8
2067270.7256.1–283125.598.9–160.5
2068270.2256–283134102.3–166.1
2069269.8256.1–283.3136.9106.4–164.2
2070270.1255.8–282.6133.199.8–166.3
2071271.9257.9–284.4135.2108.4–173.7
2072273.5260.3–283.8140.4110.6–166.8
2073273.1259.9–285.4140.9109.7–173.6
2074271.9257.5–285.4135.5112–170.6
2075271.1256.5–284.7136108.5–166.6
2076274.1258.6–285.8133.7105.9–163.7
2077273.4259–286.6140.2114.3–170.6
2078273.1260–284.4137.5111.3–172.3
2079273.3258.7–286.6136.9110.2–172.6
2080275.5259.4–286.9145115.8–173.2
2081274.7259.8–285.6147.2106.5–174.1
2082274.8261.3–286.4141.4111.4–169.9
2083274259.6–289.3143.6106.5–179.2
2084276.8259–288.8149.4117.3–176.9
2085276.2261.5–289.1154.3114.9–182.7
2086275.1260–289.1141.7115.3–176.1
2087276.2260.3–288.5142.7116.8–177.3
2088276.8261.6–289.7150.2118.3–178.9
2089275.9260.3–288.8148.9121.3–176.4
2090275.3260.5–290.5145.7113.7–179.4
2091277.7260.4–290.9149.7116.5–181.8
2092276.2261.2–290.7149.4119.7–181.7
2093276.9262–290.1152.5117.1–184.1
2094277262.8–288.9150.9117.3–182.2
2095278.4262.3–290.4155118.3–181.5
2096277.6260.5–292152.4113.1–189.2
2097277261–290.2144.1113.8–183.3
2098277.6262.3–291.5152.4119.2–187
2099277.9260.8–292.4152.9117.3–185
2100277261.8–290.4148.3120.1–184.6

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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