Malawi vs Zimbabwe

Malawi vs Zimbabwe: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 61.7 nights, or 1.81 times that in Zimbabwe.

nights a year · CMIP6

Malawi vs Zimbabwe: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 61.7 nights, or 1.81 times that in Zimbabwe.
MalawiZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malawi has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malawi at 213.3 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiZimbabwe
2014138.176.4
2013138.978.4
2012137.475.9
2011136.673.3
2010132.471.5
2009131.469.6
2008130.869.8
2007132.869.3
2006129.870.3
2005129.569.5
2004133.471.8
2003132.572.9
2002130.371.3
200113471.3
2000126.667.4
1999124.862.3
1998127.166.3
1997124.262
1996121.357.7
1995120.958.9
1994118.456.8
1993113.850.1
1992114.152.1
1991120.958.7
1990123.861.5
1989120.560.4
1988120.861.6
1987118.857.3
1986121.158.6
1985115.754.1
1984116.254.6
1983115.553.3
1982115.153.7
198111957
1980116.957.3
1979117.756.2
1978114.853.1
1977117.255.2
197611451.2
197511453.6
1974115.254.2
1973114.753.9
1972113.853.2
1971114.151.1
1970115.853.1
1969114.353.3
196811048.7
1967109.848.7
196611148.8
1965111.548.6
1964106.344.6
1963107.547.4
1962114.755.8
196111651.6
1960117.455.6
1959115.653.6
1958116.455.3
1957114.653.2
1956111.448.6
1955115.254.4
1954113.953
195311351.8
1952113.552.7
1951113.552.3
1950112.851.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiZimbabwe
2015145.7126.7–164.379.463.5–98.5
2016139.8122.6–157.478.657.9–101.7
2017143.6127–161.881.263.3–98.5
2018143.1124.6–162.682.160.5–104.1
2019143.8128.3–161.482.863.9–102.3
2020145127.3–165.884.362.9–106.9
2021145.3128–163.682.564.7–102.7
2022151130.1–169.189.870.1–108.8
2023149.2129.5–171.290.672.5–110.7
2024152.4130–172.693.769.8–113.4
2025151.1129.7–170.48865.1–114.6
2026151.1126.2–173.889.767.8–113.9
2027154.4135.1–173.195.668.4–119.6
2028155.5134.6–17493.371.4–115.7
2029159.8139.2–178.5100.277.2–120
2030155.6138.7–174.59671.6–115.3
2031161.1143.4–177.69874.9–119.8
2032160.8141.3–181.398.574.7–118.5
2033161.3135.6–179.298.974–120.6
2034160.9138.9–185100.277.3–128.1
2035164.3140.4–189.5103.975.7–130.6
2036163.8137.6–182.5100.878–123
2037166.9144.6–189.210882.1–131.1
2038172.2148.4–191.2110.986.5–135
2039164.8147.3–188.2102.480.4–122.3
2040164.4146.4–189.7101.379.5–133.5
2041169.3143.7–192.5108.483.7–134.2
2042169.8146.3–197.8108.883.1–139.9
2043167.5147.1–193.2107.985.7–137.3
2044172.6148.3–197111.287–134.8
2045170.4153.1–194.7106.186.2–130.7
2046176.3151.2–203.1112.386.4–139.1
2047178.7157.8–200.9119.692.1–145.9
2048180.7158.9–204.1116.888.4–143.9
2049176.7154–205.4119.290.4–146.2
2050180.4155.2–204.9122.794.1–148.6
2051182.9162.1–207.4122.4100.9–147.7
2052184.9163.2–209.6124.2101.3–152.8
2053177.2149.6–207.4121.689–146.9
2054185.1157.1–208123.993.9–150.8
2055186.1159.2–212.6126.597.9–153.7
2056184.6158.5–214.3126.198–154.7
2057184.7159.3–212.3122.797.6–150.7
2058188.5163.8–214.7125.3103–154.1
2059189.8166.9–218.5132.2107.4–157.4
2060192.6163.4–218.1132.599.9–159
2061186.4158.8–216.8126.694.2–161.1
2062192.3163.9–218.6126.399.6–157.3
2063189.2165.2–220.3127.7101–159.7
2064197161.3–218130.498–151.3
2065193.1165.8–225.2132.4107.6–165.6
2066201170.1–224.7134.5106.8–159.8
2067193.1164.2–223.7125.598.9–160.5
2068198.6163.7–227.1134102.3–166.1
2069199.4165.8–225136.9106.4–164.2
2070198.7168–226.7133.199.8–166.3
2071199.3167.9–233.5135.2108.4–173.7
2072202.3173.2–226.2140.4110.6–166.8
2073205.4168.2–233.4140.9109.7–173.6
2074198.2175.4–227.7135.5112–170.6
2075199.6168.9–228.3136108.5–166.6
2076198.8169.8–225.2133.7105.9–163.7
2077202172.2–231.2140.2114.3–170.6
2078203.5175.8–232.1137.5111.3–172.3
2079203.6172.2–236.1136.9110.2–172.6
2080204.7172.2–234.3145115.8–173.2
2081202.2174.9–231.3147.2106.5–174.1
2082204.3178.3–228.6141.4111.4–169.9
2083205.8170.7–238.3143.6106.5–179.2
2084208.1175.9–235.6149.4117.3–176.9
2085211.1179.4–241154.3114.9–182.7
2086203.3175.4–237141.7115.3–176.1
2087205.3181.2–237.7142.7116.8–177.3
2088211.6174.7–240.6150.2118.3–178.9
2089208.9180.5–237.8148.9121.3–176.4
2090209.4173.4–243145.7113.7–179.4
2091214.3179.7–244.8149.7116.5–181.8
2092213.2176.8–242.3149.4119.7–181.7
2093212.5177.8–242.2152.5117.1–184.1
2094211.8179.7–241.5150.9117.3–182.2
2095216.9185–243.8155118.3–181.5
2096213.1182–247.6152.4113.1–189.2
2097210.8174.9–242.1144.1113.8–183.3
2098214.4181.5–242.2152.4119.2–187
2099213.5181.9–244.1152.9117.3–185
2100213.3181.5–246.3148.3120.1–184.6

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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