Malawi vs Uganda

Malawi vs Uganda: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 13.4 nights, or 1.11 times that in Uganda.

Watch it change on the map

nights a year · CMIP6

Malawi vs Uganda: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 124.7 nights in Uganda, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malawi, by 13.4 nights, or 1.11 times that in Uganda.
MalawiUgandaCMIP6 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 Uganda at 245.3 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiUganda
2014138.1124.7
2013138.9124
2012137.4122.2
2011136.6125.7
2010132.4122.5
2009131.4114.8
2008130.8114.1
2007132.8111.2
2006129.8117.4
2005129.5113.8
2004133.4114.6
2003132.5114.4
2002130.3114.4
2001134117.1
2000126.6109
1999124.8105.5
1998127.1105
1997124.2106.1
1996121.3102.1
1995120.999.9
1994118.494.6
1993113.890.8
1992114.189.9
1991120.9102.1
1990123.8103.8
1989120.599.1
1988120.898.6
1987118.898.3
1986121.199.2
1985115.792.1
1984116.294.6
1983115.590.4
1982115.194.4
198111998.5
1980116.996.3
1979117.793.9
1978114.891
1977117.295.1
197611492
197511489.6
1974115.291.8
1973114.792.8
1972113.890
1971114.187.1
1970115.888.8
1969114.388
196811087.3
1967109.882.3
196611182.5
1965111.582.2
1964106.378.2
1963107.580.3
1962114.788.5
196111690.7
1960117.493.2
1959115.691.3
1958116.488.7
1957114.690.1
1956111.488.8
1955115.289
1954113.989.5
195311389
1952113.589.6
1951113.591.1
1950112.887.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiUganda
2015145.7126.7–164.3131.598.6–164.1
2016139.8122.6–157.412398.5–154.1
2017143.6127–161.8133.7108.6–162.7
2018143.1124.6–162.6134.2102.5–164
2019143.8128.3–161.4131.3104.8–166.2
2020145127.3–165.8140.7102.6–171.5
2021145.3128–163.6137.9112.9–175.4
2022151130.1–169.1140116.2–169.9
2023149.2129.5–171.2140.4114.2–184.8
2024152.4130–172.6151.1113.5–186.7
2025151.1129.7–170.4143108.5–176.4
2026151.1126.2–173.8144.6109.7–179.6
2027154.4135.1–173.1147.6116–175.4
2028155.5134.6–174151.6120.2–179.6
2029159.8139.2–178.5155.2127.3–178.6
2030155.6138.7–174.5150.4117.6–185.1
2031161.1143.4–177.6161.6132–187.2
2032160.8141.3–181.3159.1134.2–190.5
2033161.3135.6–179.2158.9123.4–200.6
2034160.9138.9–185161.5135.6–202.5
2035164.3140.4–189.5164.9126.3–193
2036163.8137.6–182.5158.5127.7–195.4
2037166.9144.6–189.2168.3138.2–207.3
2038172.2148.4–191.2173.8139.7–206.2
2039164.8147.3–188.2171.2130.1–205
2040164.4146.4–189.7170.4134.1–207.4
2041169.3143.7–192.5176.3144.6–208
2042169.8146.3–197.8175137.8–214.3
2043167.5147.1–193.2173.6132.8–207.6
2044172.6148.3–197176.1136.8–206.9
2045170.4153.1–194.7178.9138.3–217.7
2046176.3151.2–203.1191.9136.6–235
2047178.7157.8–200.9187.7156.6–225.3
2048180.7158.9–204.1189.3151.5–227.4
2049176.7154–205.4195.1154.9–233.6
2050180.4155.2–204.9191150.7–236.4
2051182.9162.1–207.4191.2154.4–228.2
2052184.9163.2–209.6192.6157.7–231.7
2053177.2149.6–207.4194.5149.7–233.5
2054185.1157.1–208199156.3–236.8
2055186.1159.2–212.6201.3151.7–240.7
2056184.6158.5–214.3198.9156.9–240.2
2057184.7159.3–212.3200165.5–244.7
2058188.5163.8–214.7208.8156.5–248.3
2059189.8166.9–218.5212.7171.1–254
2060192.6163.4–218.1212.6160.3–253.1
2061186.4158.8–216.8208.9162.4–258.1
2062192.3163.9–218.6206.4159.1–267.6
2063189.2165.2–220.3209.3168.5–246.3
2064197161.3–218210.6166.2–253.8
2065193.1165.8–225.2214.5167.8–261.1
2066201170.1–224.7211.9171.8–256.1
2067193.1164.2–223.7208.4168.3–269.8
2068198.6163.7–227.1216.4169.7–268.7
2069199.4165.8–225213170.3–268.1
2070198.7168–226.7216.4176.4–270.9
2071199.3167.9–233.5215.5174.6–273.5
2072202.3173.2–226.2227.3184.1–272.3
2073205.4168.2–233.4230.4189.3–278.5
2074198.2175.4–227.7220.7176.9–277
2075199.6168.9–228.3217.7167–274.2
2076198.8169.8–225.2228.1178.9–279
2077202172.2–231.2229.5189.6–280.5
2078203.5175.8–232.1225.6187.8–276.4
2079203.6172.2–236.1231.9168.8–277.7
2080204.7172.2–234.3232.8182.6–283.1
2081202.2174.9–231.3227.9187.6–279.3
2082204.3178.3–228.6233.1185.6–279.4
2083205.8170.7–238.3232.2175.7–297
2084208.1175.9–235.6237.2185.5–288.8
2085211.1179.4–241239.5192.4–291.7
2086203.3175.4–237236.2189.8–289.4
2087205.3181.2–237.7239.4188.9–294
2088211.6174.7–240.6236.8193.6–288.9
2089208.9180.5–237.8238.8193.8–293.7
2090209.4173.4–243237.7190.1–301.5
2091214.3179.7–244.8251188.7–300.1
2092213.2176.8–242.3243.4194.9–297.8
2093212.5177.8–242.2244.4199.2–296.8
2094211.8179.7–241.5245.6202.9–299.8
2095216.9185–243.8253.2202.4–306.1
2096213.1182–247.6241.4196.5–304
2097210.8174.9–242.1243.1194–296.6
2098214.4181.5–242.2242.9199–302.3
2099213.5181.9–244.1247.3194.4–306.1
2100213.3181.5–246.3245.3195.5–307.2

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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