Malawi vs Nigeria

Malawi vs Nigeria: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 165.8 nights, or 2.2 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Malawi vs Nigeria: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 165.8 nights, or 2.2 times that in Malawi.
MalawiNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiNigeria
2014138.1303.9
2013138.9299.5
2012137.4304.4
2011136.6301.5
2010132.4301.4
2009131.4297.8
2008130.8297.4
2007132.8298
2006129.8297.2
2005129.5295.4
2004133.4294.1
2003132.5298.4
2002130.3295.2
2001134299.1
2000126.6293.9
1999124.8290.3
1998127.1289.9
1997124.2292.5
1996121.3290
1995120.9289.1
1994118.4287.4
1993113.8284
1992114.1281.6
1991120.9289.1
1990123.8290.6
1989120.5287.2
1988120.8288
1987118.8285.6
1986121.1289.1
1985115.7284.2
1984116.2284.4
1983115.5281.9
1982115.1283.5
1981119286.4
1980116.9282.8
1979117.7283
1978114.8282.8
1977117.2285.9
1976114281.7
1975114280.4
1974115.2280.7
1973114.7284.3
1972113.8284.1
1971114.1279.3
1970115.8282
1969114.3278.7
1968110279.6
1967109.8278.1
1966111279.4
1965111.5279
1964106.3276.8
1963107.5275.1
1962114.7284.1
1961116281.9
1960117.4285.9
1959115.6282.8
1958116.4281.4
1957114.6283.3
1956111.4280.8
1955115.2280.4
1954113.9284.1
1953113280.4
1952113.5280.8
1951113.5284.2
1950112.8279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiNigeria
2015145.7126.7–164.3301.7282.9–317.3
2016139.8122.6–157.4301.4280.8–312.5
2017143.6127–161.8302.5284.3–316.3
2018143.1124.6–162.6302.2286.8–316.5
2019143.8128.3–161.4300.1281.2–318
2020145127.3–165.8303283.7–318.5
2021145.3128–163.6305.1287.1–318.4
2022151130.1–169.1305.1286–319.5
2023149.2129.5–171.2305286.4–318.9
2024152.4130–172.6310.6295.1–321.5
2025151.1129.7–170.4307.5292–319.4
2026151.1126.2–173.8306.9286.1–322.9
2027154.4135.1–173.1307.4288–321.7
2028155.5134.6–174310.7293.4–322.6
2029159.8139.2–178.5311.4293.3–324.4
2030155.6138.7–174.5310.6294.1–322.5
2031161.1143.4–177.6312.2295–324.8
2032160.8141.3–181.3310290–323.5
2033161.3135.6–179.2313292.9–327
2034160.9138.9–185311.7294.8–325.1
2035164.3140.4–189.5314.5296.7–327.7
2036163.8137.6–182.5313.5294.1–326.5
2037166.9144.6–189.2315.6297.9–327.1
2038172.2148.4–191.2316.9301.2–329.6
2039164.8147.3–188.2315.4299.4–328.2
2040164.4146.4–189.7315.6297.9–327.4
2041169.3143.7–192.5316.8300.6–330.2
2042169.8146.3–197.8316.3300.3–330.3
2043167.5147.1–193.2316298.4–326
2044172.6148.3–197317.9299.5–329.6
2045170.4153.1–194.7316.6300.5–330.4
2046176.3151.2–203.1317.8302.2–330.7
2047178.7157.8–200.9319.8301.5–333
2048180.7158.9–204.1320.1302.4–331.7
2049176.7154–205.4320.7305.3–331.7
2050180.4155.2–204.9320.9304–335
2051182.9162.1–207.4321304.1–334.2
2052184.9163.2–209.6320.9303.9–333.5
2053177.2149.6–207.4320.9303.3–334.1
2054185.1157.1–208324.5304.5–338.2
2055186.1159.2–212.6322.2308.4–333.7
2056184.6158.5–214.3324.8305.8–336.3
2057184.7159.3–212.3326310.8–337.3
2058188.5163.8–214.7322.9307.4–334.2
2059189.8166.9–218.5325.7308.9–339
2060192.6163.4–218.1323.8307.5–337
2061186.4158.8–216.8324.4307.1–338.2
2062192.3163.9–218.6325.7308–339.3
2063189.2165.2–220.3326.6308.7–337
2064197161.3–218326.2311–339.8
2065193.1165.8–225.2327.6313.5–339.4
2066201170.1–224.7328.4311.3–339.6
2067193.1164.2–223.7326308.4–340.5
2068198.6163.7–227.1329.3311.2–342.9
2069199.4165.8–225326.6309.9–338.1
2070198.7168–226.7327.4312.6–340.7
2071199.3167.9–233.5329.1313–341.1
2072202.3173.2–226.2330.3315.9–342.1
2073205.4168.2–233.4326.3309.5–341
2074198.2175.4–227.7326.7311.4–341.4
2075199.6168.9–228.3328.9314.5–341.8
2076198.8169.8–225.2329.6313.4–342
2077202172.2–231.2332.5314.4–343.3
2078203.5175.8–232.1329.8312.8–342.1
2079203.6172.2–236.1329.6313.8–340.6
2080204.7172.2–234.3331.7314.1–344.8
2081202.2174.9–231.3329.3311.6–343.7
2082204.3178.3–228.6329.3313.3–341.4
2083205.8170.7–238.3330.4315–342.2
2084208.1175.9–235.6330.5311.9–344.2
2085211.1179.4–241332.7316.6–343.6
2086203.3175.4–237331.9316.3–343.6
2087205.3181.2–237.7330.7314.9–342.4
2088211.6174.7–240.6331.7313.2–342.7
2089208.9180.5–237.8331.1318.3–341.9
2090209.4173.4–243332.4312.7–343.9
2091214.3179.7–244.8333.3311–345.8
2092213.2176.8–242.3332.7313.8–345.7
2093212.5177.8–242.2334.2318.6–344.9
2094211.8179.7–241.5334.2317.3–345.6
2095216.9185–243.8333.8319.3–346.3
2096213.1182–247.6332.5317.4–346.7
2097210.8174.9–242.1331.8312.6–344.6
2098214.4181.5–242.2332.3316–343.7
2099213.5181.9–244.1333316.9–344.2
2100213.3181.5–246.3332.3318.5–345

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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