Kenya vs Malawi

Kenya vs Malawi: Tropical nights

Tropical nights in 2014: 245.6 nights in Kenya and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 107.5 nights, or 1.78 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Kenya vs Malawi: Tropical nightsTropical nights in 2014: 245.6 nights in Kenya and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 107.5 nights, or 1.78 times that in Malawi.
KenyaMalawiCMIP6 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 Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearKenyaMalawi
2014245.6138.1
2013245.4138.9
2012244.7137.4
2011245136.6
2010243.8132.4
2009242.3131.4
2008240.3130.8
2007240.9132.8
2006241.5129.8
2005241.2129.5
2004241.8133.4
2003240.8132.5
2002240.7130.3
2001242134
2000239.5126.6
1999237.8124.8
1998239.2127.1
1997236.9124.2
1996234.2121.3
1995232.9120.9
1994231.9118.4
1993227.4113.8
1992224.8114.1
1991233.8120.9
1990236.4123.8
1989234.5120.5
1988233.1120.8
1987232.6118.8
1986233121.1
1985228.7115.7
1984230.2116.2
1983226.7115.5
1982230.6115.1
1981232.9119
1980231.3116.9
1979229.6117.7
1978228.7114.8
1977229.9117.2
1976227.8114
1975225.9114
1974230.5115.2
1973230.4114.7
1972228.7113.8
1971226114.1
1970226.3115.8
1969225.9114.3
1968222.9110
1967224109.8
1966225.2111
1965224.2111.5
1964221.8106.3
1963220.2107.5
1962227.2114.7
1961228.3116
1960228.8117.4
1959228.3115.6
1958229.1116.4
1957228114.6
1956225.5111.4
1955228.7115.2
1954227.4113.9
1953227.6113
1952228.5113.5
1951228.3113.5
1950226.3112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaMalawi
2015246.9232.3–256.1145.7126.7–164.3
2016244.9230.1–255139.8122.6–157.4
2017248.1233.1–257.7143.6127–161.8
2018248.7237–257.4143.1124.6–162.6
2019247.1234.8–256.7143.8128.3–161.4
2020248.6233.2–259.2145127.3–165.8
2021249.5236.3–258.1145.3128–163.6
2022251.5239.7–259.5151130.1–169.1
2023251.8239–260.8149.2129.5–171.2
2024254.2239.1–263152.4130–172.6
2025251.5238.1–261.8151.1129.7–170.4
2026252.2237.2–263.3151.1126.2–173.8
2027252.8238.4–263.8154.4135.1–173.1
2028254.9241.9–264.2155.5134.6–174
2029256243.4–264.6159.8139.2–178.5
2030253.6240.6–263.1155.6138.7–174.5
2031256244.7–264.4161.1143.4–177.6
2032257243.8–267.1160.8141.3–181.3
2033256241.8–265.9161.3135.6–179.2
2034256.2241.2–267.9160.9138.9–185
2035256.7243.3–266.7164.3140.4–189.5
2036256.2242.4–266.7163.8137.6–182.5
2037258.7245.9–268.4166.9144.6–189.2
2038260.3244.5–268.9172.2148.4–191.2
2039259244.4–268164.8147.3–188.2
2040258.3246.2–269.8164.4146.4–189.7
2041260.7244.8–271.2169.3143.7–192.5
2042260.3246.5–272.7169.8146.3–197.8
2043259246.6–270.5167.5147.1–193.2
2044261.2248.8–270.9172.6148.3–197
2045261.8248.7–272.9170.4153.1–194.7
2046264.8249.6–275.3176.3151.2–203.1
2047264.4249.8–275.3178.7157.8–200.9
2048264.2252.3–274.9180.7158.9–204.1
2049265.2252.8–275.6176.7154–205.4
2050263.9249.8–275.1180.4155.2–204.9
2051265.4252.1–275.1182.9162.1–207.4
2052266.3252.6–276.2184.9163.2–209.6
2053265.2251–275.4177.2149.6–207.4
2054265.2250.2–277.2185.1157.1–208
2055266.8251.6–277.6186.1159.2–212.6
2056266.2251.2–277.8184.6158.5–214.3
2057266.8253–278184.7159.3–212.3
2058266.7251.5–277.9188.5163.8–214.7
2059269.8254.7–280.5189.8166.9–218.5
2060271.1253.9–280.7192.6163.4–218.1
2061267.5253.9–281.7186.4158.8–216.8
2062268.1254–281.2192.3163.9–218.6
2063268.9255–280.1189.2165.2–220.3
2064270254.1–279.8197161.3–218
2065269.4255.8–282.3193.1165.8–225.2
2066270.6258.1–281201170.1–224.7
2067270.7256.1–283193.1164.2–223.7
2068270.2256–283198.6163.7–227.1
2069269.8256.1–283.3199.4165.8–225
2070270.1255.8–282.6198.7168–226.7
2071271.9257.9–284.4199.3167.9–233.5
2072273.5260.3–283.8202.3173.2–226.2
2073273.1259.9–285.4205.4168.2–233.4
2074271.9257.5–285.4198.2175.4–227.7
2075271.1256.5–284.7199.6168.9–228.3
2076274.1258.6–285.8198.8169.8–225.2
2077273.4259–286.6202172.2–231.2
2078273.1260–284.4203.5175.8–232.1
2079273.3258.7–286.6203.6172.2–236.1
2080275.5259.4–286.9204.7172.2–234.3
2081274.7259.8–285.6202.2174.9–231.3
2082274.8261.3–286.4204.3178.3–228.6
2083274259.6–289.3205.8170.7–238.3
2084276.8259–288.8208.1175.9–235.6
2085276.2261.5–289.1211.1179.4–241
2086275.1260–289.1203.3175.4–237
2087276.2260.3–288.5205.3181.2–237.7
2088276.8261.6–289.7211.6174.7–240.6
2089275.9260.3–288.8208.9180.5–237.8
2090275.3260.5–290.5209.4173.4–243
2091277.7260.4–290.9214.3179.7–244.8
2092276.2261.2–290.7213.2176.8–242.3
2093276.9262–290.1212.5177.8–242.2
2094277262.8–288.9211.8179.7–241.5
2095278.4262.3–290.4216.9185–243.8
2096277.6260.5–292213.1182–247.6
2097277261–290.2210.8174.9–242.1
2098277.6262.3–291.5214.4181.5–242.2
2099277.9260.8–292.4213.5181.9–244.1
2100277261.8–290.4213.3181.5–246.3

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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