Kenya vs Zambia

Kenya vs Zambia: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 182.7 nights, or 3.9 times that in Zambia.

nights a year · CMIP6

Kenya vs Zambia: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 62.9 nights in Zambia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 182.7 nights, or 3.9 times that in Zambia.
KenyaZambiaCMIP6 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 Zambia at 171.5 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaZambia
2014245.662.9
2013245.464.7
2012244.763.9
201124561.5
2010243.859.3
2009242.357.5
2008240.356
2007240.955.1
2006241.555.9
2005241.254.5
2004241.858.4
2003240.856.6
2002240.755
200124259
2000239.552.9
1999237.848
1998239.251.3
1997236.947.8
1996234.243.5
1995232.943.9
1994231.941.6
1993227.435.3
1992224.836
1991233.842.7
1990236.446.4
1989234.545
1988233.143.6
1987232.644
198623343.8
1985228.738.7
1984230.238.7
1983226.738.8
1982230.640
1981232.941.7
1980231.339.7
1979229.640.7
1978228.738.9
1977229.940
1976227.835.7
1975225.937.1
1974230.537.4
1973230.438.8
1972228.735
197122636
1970226.338.1
1969225.937.1
1968222.934.1
196722432.2
1966225.233.1
1965224.234.9
1964221.831.3
1963220.230.5
1962227.238.8
1961228.337
1960228.839.3
1959228.338.3
1958229.139
195722837.8
1956225.534.6
1955228.738.2
1954227.438
1953227.635.4
1952228.537.6
1951228.336.9
1950226.336
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaZambia
2015246.9232.3–256.172.150.1–93.9
2016244.9230.1–25566.845.9–85.7
2017248.1233.1–257.771.449.7–92.5
2018248.7237–257.473.852.7–94.8
2019247.1234.8–256.773.354–97.6
2020248.6233.2–259.277.556.9–100.4
2021249.5236.3–258.176.755.7–104.5
2022251.5239.7–259.584.861.6–109.7
2023251.8239–260.884.763–108
2024254.2239.1–26385.158.2–113.9
2025251.5238.1–261.884.957.1–116
2026252.2237.2–263.383.658.4–119.4
2027252.8238.4–263.889.562.5–115.7
2028254.9241.9–264.289.965–118.6
2029256243.4–264.69669.8–122.8
2030253.6240.6–263.19166.7–118.1
2031256244.7–264.497.668.2–121.3
2032257243.8–267.194.970.3–122.2
2033256241.8–265.998.270.1–123.6
2034256.2241.2–267.997.370.4–135.2
2035256.7243.3–266.7104.168.4–137.8
2036256.2242.4–266.799.568.7–131.5
2037258.7245.9–268.4107.177.4–139.8
2038260.3244.5–268.9110.383.2–138.8
2039259244.4–268101.874.3–139.1
2040258.3246.2–269.8100.872.5–145.3
2041260.7244.8–271.2113.978.7–147.6
2042260.3246.5–272.7111.379.1–155.1
2043259246.6–270.5106.678.3–150.6
2044261.2248.8–270.9110.574.3–145.5
2045261.8248.7–272.9109.882.2–148.2
2046264.8249.6–275.3119.485.9–160
2047264.4249.8–275.3123.191.1–159.4
2048264.2252.3–274.9124.590.6–160.2
2049265.2252.8–275.6124.586.1–167.1
2050263.9249.8–275.1130.592–166
2051265.4252.1–275.1128.498.1–169.8
2052266.3252.6–276.2130.798.6–170.4
2053265.2251–275.4128.488–168.8
2054265.2250.2–277.2132.193–169.6
2055266.8251.6–277.6132.1100.1–176.1
2056266.2251.2–277.8132.492.7–179.6
2057266.8253–278133.298.5–178.5
2058266.7251.5–277.9137.299.2–179.7
2059269.8254.7–280.5139.8105.8–189.5
2060271.1253.9–280.7145.4102.9–191
2061267.5253.9–281.7136.692.8–196.9
2062268.1254–281.2143.9101–194.7
2063268.9255–280.1144.5101.7–187.8
2064270254.1–279.8147.998.4–180.9
2065269.4255.8–282.3148.6104.3–199.8
2066270.6258.1–281152.1109.4–193.6
2067270.7256.1–283140.6103.2–195.7
2068270.2256–283150.8105.7–200.3
2069269.8256.1–283.3150.5106.3–197
2070270.1255.8–282.6145.8104.7–202.4
2071271.9257.9–284.4153.1112.7–212
2072273.5260.3–283.8157.2120–195.7
2073273.1259.9–285.4161.5115.2–210.9
2074271.9257.5–285.4149.2115–198.7
2075271.1256.5–284.7148.2111.5–202.2
2076274.1258.6–285.8150.4112–201.9
2077273.4259–286.6156.5120.3–208.3
2078273.1260–284.4157.2122.2–209.5
2079273.3258.7–286.6156.8118.1–207.3
2080275.5259.4–286.9159.8116–211.9
2081274.7259.8–285.6160.2117.1–208.6
2082274.8261.3–286.4159.6119.6–200.6
2083274259.6–289.3159.5110.7–219.9
2084276.8259–288.8166124.3–210.3
2085276.2261.5–289.1172.9126.8–221.1
2086275.1260–289.1161.9120.6–224.1
2087276.2260.3–288.5158.3129.2–219.6
2088276.8261.6–289.7168.4123.9–218.5
2089275.9260.3–288.8168.5129.9–217.9
2090275.3260.5–290.5165.7124–223.8
2091277.7260.4–290.9177.4129.5–227.2
2092276.2261.2–290.7170.6127.8–221.5
2093276.9262–290.1173.6123.6–223.3
2094277262.8–288.9171.4130.3–220.7
2095278.4262.3–290.4179131.6–228.6
2096277.6260.5–292170.8124.8–233.3
2097277261–290.2167.2122.2–224.3
2098277.6262.3–291.5172.5131.9–226.9
2099277.9260.8–292.4171.7126.5–229.1
2100277261.8–290.4171.5124.3–228

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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