Kenya vs Tanzania

Kenya vs Tanzania: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 139.3 nights, or 2.31 times that in Tanzania.

nights a year · CMIP6

Kenya vs Tanzania: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 139.3 nights, or 2.31 times that in Tanzania.
KenyaTanzaniaCMIP6 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaTanzania
2014245.6106.3
2013245.4105.5
2012244.7108.4
2011245109
2010243.8103.9
2009242.3101.1
2008240.3100.3
2007240.999.5
2006241.5100.4
2005241.298.7
2004241.8100.4
2003240.899.6
2002240.798.4
2001242101.5
2000239.594.9
1999237.894.2
1998239.296.8
1997236.993.5
1996234.289.6
1995232.988.5
1994231.985.4
1993227.481.2
1992224.880.1
1991233.889.6
1990236.491.1
1989234.589.1
1988233.187.6
1987232.688.5
198623389.4
1985228.783
1984230.283.1
1983226.782.1
1982230.684.8
1981232.988
1980231.385
1979229.685.5
1978228.782.9
1977229.984.1
1976227.881
1975225.980.8
1974230.582.2
1973230.483.6
1972228.781.4
197122680.7
1970226.381.8
1969225.979.5
1968222.979.1
196722477.5
1966225.278.1
1965224.278
1964221.873.8
1963220.273.1
1962227.281.1
1961228.382.6
1960228.883.9
1959228.381.4
1958229.182.1
195722880.9
1956225.580
1955228.781.6
1954227.481.4
1953227.680.6
1952228.581.4
1951228.382.1
1950226.380.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaTanzania
2015246.9232.3–256.1114.895.2–137.4
2016244.9230.1–255108.391.6–125.6
2017248.1233.1–257.7114.893.6–137.8
2018248.7237–257.4116.497.4–137.1
2019247.1234.8–256.7113.495.2–133.2
2020248.6233.2–259.2119.396.2–143.5
2021249.5236.3–258.1119.5100.9–147.1
2022251.5239.7–259.5124.4105.3–147.4
2023251.8239–260.8122.1102.1–147.8
2024254.2239.1–263126.2100–150.1
2025251.5238.1–261.8124.6100.9–154
2026252.2237.2–263.3126.999.1–155.6
2027252.8238.4–263.8128102.9–147.7
2028254.9241.9–264.2129.9106.4–152.1
2029256243.4–264.6134.1111–156.5
2030253.6240.6–263.1129.4106.4–151.1
2031256244.7–264.4136.4115.9–158.4
2032257243.8–267.1135.1114–166.8
2033256241.8–265.9135.2110.9–161.9
2034256.2241.2–267.9134.7112.5–166.3
2035256.7243.3–266.7140.2114.6–165
2036256.2242.4–266.7137.8113.3–165.5
2037258.7245.9–268.4142.9121.5–168.9
2038260.3244.5–268.9147.9124.3–169.3
2039259244.4–268144.3117.6–171.3
2040258.3246.2–269.8140.5117–178
2041260.7244.8–271.2149.1121.7–175.6
2042260.3246.5–272.7146.3120.5–185.3
2043259246.6–270.5144.6117–173
2044261.2248.8–270.9147.7121.2–175.8
2045261.8248.7–272.9150.1125.2–183.4
2046264.8249.6–275.3161.5128.6–192.2
2047264.4249.8–275.3160.2129.7–194.4
2048264.2252.3–274.9158.8132.7–193.1
2049265.2252.8–275.6157.6131.1–196
2050263.9249.8–275.1159.7127.8–192
2051265.4252.1–275.1163.2135.5–197.8
2052266.3252.6–276.2161.9136.2–199.1
2053265.2251–275.4160.6127.5–197.7
2054265.2250.2–277.2163.2131.5–200.2
2055266.8251.6–277.6167.4137–208.3
2056266.2251.2–277.8166.4130.8–209.7
2057266.8253–278168134.6–208.3
2058266.7251.5–277.9168.7134.9–210.3
2059269.8254.7–280.5174.7144.9–219.5
2060271.1253.9–280.7181.7138.1–219.8
2061267.5253.9–281.7171.8135.5–218.1
2062268.1254–281.2177.5139.9–224
2063268.9255–280.1181.4140.1–213.8
2064270254.1–279.8185.3140.1–215.2
2065269.4255.8–282.3183.5141.1–221.8
2066270.6258.1–281181.9146.3–219.3
2067270.7256.1–283178.8138.8–229.2
2068270.2256–283186144.2–228.4
2069269.8256.1–283.3183.7141.7–225.3
2070270.1255.8–282.6180.7140.4–228.2
2071271.9257.9–284.4184.9146.9–235.2
2072273.5260.3–283.8191.3155–226.1
2073273.1259.9–285.4191.6152.4–235.6
2074271.9257.5–285.4183.3149.7–231.7
2075271.1256.5–284.7183.8144.8–233
2076274.1258.6–285.8191.1150.9–233.2
2077273.4259–286.6191.3152.6–238.2
2078273.1260–284.4189156.6–233.8
2079273.3258.7–286.6190.5147–237.3
2080275.5259.4–286.9197.3150.7–241.2
2081274.7259.8–285.6195.6153.4–237.4
2082274.8261.3–286.4194.5157.3–237.3
2083274259.6–289.3193.2151–249.8
2084276.8259–288.8201.1152.2–246.7
2085276.2261.5–289.1204.2162.3–252.3
2086275.1260–289.1195156–248.7
2087276.2260.3–288.5196.7160.8–244.5
2088276.8261.6–289.7208.4154.7–246.9
2089275.9260.3–288.8201.3158.6–248.2
2090275.3260.5–290.5197.9160.7–253.6
2091277.7260.4–290.9210161.6–256
2092276.2261.2–290.7205.8158.3–253.6
2093276.9262–290.1207.2161.2–251.9
2094277262.8–288.9207.9161.3–250.6
2095278.4262.3–290.4214.2166.4–258.5
2096277.6260.5–292205.3159.8–257.4
2097277261–290.2206.6158.4–256.8
2098277.6262.3–291.5209.1161–258.3
2099277.9260.8–292.4208.5160.1–256
2100277261.8–290.4208158.6–258.6

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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