Malawi vs Niger

Malawi vs Niger: Tropical nights

Tropical nights in 2014: 138.1 nights in Malawi and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 83.5 nights, or 1.6 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Malawi vs Niger: Tropical nightsTropical nights in 2014: 138.1 nights in Malawi and 221.6 nights in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 83.5 nights, or 1.6 times that in Malawi.
MalawiNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger 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 Niger at 251.1 nights in 2100.

Every year

nights a year · CMIP6

YearMalawiNiger
2014138.1221.6
2013138.9216.1
2012137.4220.8
2011136.6220.1
2010132.4219.1
2009131.4217.2
2008130.8216.8
2007132.8216.9
2006129.8214.3
2005129.5213.6
2004133.4213.6
2003132.5215.5
2002130.3214.6
2001134213.4
2000126.6211.2
1999124.8210.4
1998127.1207.7
1997124.2211.5
1996121.3208.6
1995120.9208.3
1994118.4207.8
1993113.8202.6
1992114.1203.4
1991120.9209.4
1990123.8208.1
1989120.5206
1988120.8203
1987118.8204.9
1986121.1206.8
1985115.7203.9
1984116.2201.8
1983115.5200.5
1982115.1201.9
1981119204.3
1980116.9200.6
1979117.7200.5
1978114.8202
1977117.2203.8
1976114201.7
1975114199
1974115.2200.6
1973114.7202.6
1972113.8200.7
1971114.1200.8
1970115.8199.8
1969114.3196.1
1968110200.3
1967109.8196.6
1966111198.2
1965111.5199
1964106.3199.2
1963107.5196.7
1962114.7201.1
1961116198.2
1960117.4203.2
1959115.6201.6
1958116.4199.2
1957114.6201.1
1956111.4199.6
1955115.2199.7
1954113.9201.1
1953113196.5
1952113.5197.9
1951113.5199.8
1950112.8200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalawiNiger
2015145.7126.7–164.3218.8202.8–235.8
2016139.8122.6–157.4217.7201.8–230.6
2017143.6127–161.8222.4205.2–237.4
2018143.1124.6–162.6220.5206.3–238.8
2019143.8128.3–161.4219.1201.8–238.1
2020145127.3–165.8220.9206.9–234.7
2021145.3128–163.6222.8208.2–240.2
2022151130.1–169.1226.3209.7–239.2
2023149.2129.5–171.2223.2206.6–238.4
2024152.4130–172.6228.4214.3–242.9
2025151.1129.7–170.4226.7211.2–241
2026151.1126.2–173.8226.3210–243.1
2027154.4135.1–173.1228.5209.9–241.1
2028155.5134.6–174227.1211.9–240.2
2029159.8139.2–178.5230.4213.3–247.1
2030155.6138.7–174.5226.4211.6–242.2
2031161.1143.4–177.6230.1210.8–247.1
2032160.8141.3–181.3228.7212.3–241
2033161.3135.6–179.2229.9214.9–245.4
2034160.9138.9–185229.5212.1–244.9
2035164.3140.4–189.5232.3217.5–248
2036163.8137.6–182.5230.2213.7–244.6
2037166.9144.6–189.2233.2215.1–246.5
2038172.2148.4–191.2234.3218.2–249.7
2039164.8147.3–188.2231214.2–247.1
2040164.4146.4–189.7230.8214.8–247.5
2041169.3143.7–192.5232.6218.6–252.9
2042169.8146.3–197.8233.8216.2–250.5
2043167.5147.1–193.2232.5217.8–245.8
2044172.6148.3–197233.8218.2–250.1
2045170.4153.1–194.7233.6218.1–249.7
2046176.3151.2–203.1234.3217–250.2
2047178.7157.8–200.9238.4224.3–253.1
2048180.7158.9–204.1238221.4–254
2049176.7154–205.4237.7217.4–253
2050180.4155.2–204.9238.2220.7–254.5
2051182.9162.1–207.4236.3220.6–254.7
2052184.9163.2–209.6239.5224.3–255.8
2053177.2149.6–207.4236.3223.9–255.6
2054185.1157.1–208239.4220.2–257.9
2055186.1159.2–212.6238.6223.7–254.7
2056184.6158.5–214.3239214.7–260.3
2057184.7159.3–212.3240.4223–256.3
2058188.5163.8–214.7238.2220.2–255.7
2059189.8166.9–218.5243.9224.6–262.7
2060192.6163.4–218.1239.8222.6–260
2061186.4158.8–216.8242.5224.9–258.5
2062192.3163.9–218.6241.6222.4–259.8
2063189.2165.2–220.3241.3220.9–255.2
2064197161.3–218244.4225.9–259.5
2065193.1165.8–225.2242.8226.5–262.4
2066201170.1–224.7245.6227–263.5
2067193.1164.2–223.7240.7224.9–262
2068198.6163.7–227.1244224.3–265.4
2069199.4165.8–225243.9225.5–261.6
2070198.7168–226.7243.1225.6–261.3
2071199.3167.9–233.5246.1230.3–264
2072202.3173.2–226.2247.9229.9–263.7
2073205.4168.2–233.4243.4225.4–262.8
2074198.2175.4–227.7243.2224.4–264.6
2075199.6168.9–228.3244.3230.2–263.3
2076198.8169.8–225.2246.5228.5–266.6
2077202172.2–231.2250.1232.3–267.4
2078203.5175.8–232.1249.2230.8–264.5
2079203.6172.2–236.1244.4228.7–263.8
2080204.7172.2–234.3248.8230.4–267
2081202.2174.9–231.3247227.8–268.1
2082204.3178.3–228.6247230.6–264.4
2083205.8170.7–238.3247.3230.7–267.5
2084208.1175.9–235.6247.7229.4–265.2
2085211.1179.4–241248.9227–264.2
2086203.3175.4–237250.4230.9–269.5
2087205.3181.2–237.7245.8226.2–266.9
2088211.6174.7–240.6248.3226.7–271.1
2089208.9180.5–237.8251.9232.5–269.5
2090209.4173.4–243249.7227.7–267.4
2091214.3179.7–244.8248.9230.5–272.2
2092213.2176.8–242.3251229.8–274
2093212.5177.8–242.2249.9234.8–267
2094211.8179.7–241.5252.2234–267.5
2095216.9185–243.8251.1233–270.7
2096213.1182–247.6250.8234.8–270.4
2097210.8174.9–242.1250.2227.8–270.8
2098214.4181.5–242.2250.1228.1–268.5
2099213.5181.9–244.1251.9232.2–268.2
2100213.3181.5–246.3251.1234.5–271.5

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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