Madagascar vs Malawi

Madagascar vs Malawi: Tropical nights

Tropical nights in 2014: 138.3 nights in Madagascar and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 0.2 nights, or 1 times that in Malawi.

Watch it change on the map

nights a year · CMIP6

Madagascar vs Malawi: Tropical nightsTropical nights in 2014: 138.3 nights in Madagascar and 138.1 nights in Malawi, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 0.2 nights, or 1 times that in Malawi.
MadagascarMalawiCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Madagascar has been higher since 2014, when it overtook Malawi.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Madagascar at 198.5 nights and Malawi at 213.3 nights in 2100.

Every year

nights a year · CMIP6

YearMadagascarMalawi
2014138.3138.1
2013138138.9
2012138.3137.4
2011136.8136.6
2010134.2132.4
2009133.5131.4
2008132.3130.8
2007133.1132.8
2006131.6129.8
2005130.3129.5
2004133.5133.4
2003131132.5
2002131.8130.3
2001131.7134
2000127.4126.6
1999128.4124.8
1998128.6127.1
1997125.3124.2
1996121.8121.3
1995123.3120.9
1994121.8118.4
1993116113.8
1992116.6114.1
1991124.9120.9
1990126.2123.8
1989124120.5
1988123.8120.8
1987122.8118.8
1986123.8121.1
1985120115.7
1984118.6116.2
1983116.5115.5
1982121.8115.1
1981122.1119
1980120.3116.9
1979120.7117.7
1978119.3114.8
1977119117.2
1976117.4114
1975116.5114
1974119.5115.2
1973119114.7
1972117113.8
1971116.3114.1
1970117115.8
1969116.3114.3
1968113.1110
1967113109.8
1966114.1111
1965112.2111.5
1964109.6106.3
1963109.7107.5
1962115.3114.7
1961118.5116
1960118.2117.4
1959119115.6
1958118.7116.4
1957117.6114.6
1956115.5111.4
1955116.6115.2
1954115.9113.9
1953116.4113
1952117.4113.5
1951116113.5
1950116.3112.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMadagascarMalawi
2015142.8126.7–159.3145.7126.7–164.3
2016137.8122.2–156139.8122.6–157.4
2017143.1125.6–159.4143.6127–161.8
2018143.7125.9–160.3143.1124.6–162.6
2019143.4124.4–162.3143.8128.3–161.4
2020143.4125.2–159145127.3–165.8
2021145.4128.8–160.4145.3128–163.6
2022150.4133.4–165.2151130.1–169.1
2023149.7132.1–166149.2129.5–171.2
2024150.7131.4–167.9152.4130–172.6
2025149128.8–169.1151.1129.7–170.4
2026150.1127.4–169.9151.1126.2–173.8
2027151.8131.9–170.8154.4135.1–173.1
2028154.9137.7–173.1155.5134.6–174
2029155.7135.2–173.8159.8139.2–178.5
2030154.8136.4–171.3155.6138.7–174.5
2031158.1141.3–174.8161.1143.4–177.6
2032157.9136.2–178.4160.8141.3–181.3
2033158.9136.7–177.8161.3135.6–179.2
2034158.6140.6–179.6160.9138.9–185
2035161.1140.2–181.6164.3140.4–189.5
2036159.5139.4–177.1163.8137.6–182.5
2037165.8144.7–182.8166.9144.6–189.2
2038166.5149.3–183.9172.2148.4–191.2
2039164.1145.1–183.9164.8147.3–188.2
2040162.8144.5–184.8164.4146.4–189.7
2041165.8143.5–183.9169.3143.7–192.5
2042165.1144.3–188.4169.8146.3–197.8
2043165.6148.5–184.7167.5147.1–193.2
2044167.3145.8–187172.6148.3–197
2045166.9147.1–187.1170.4153.1–194.7
2046171.4149.6–193176.3151.2–203.1
2047171.7148.8–193.4178.7157.8–200.9
2048173.7151.7–193.6180.7158.9–204.1
2049172.2151.4–192.9176.7154–205.4
2050174.4150.5–193.6180.4155.2–204.9
2051175154.3–195.1182.9162.1–207.4
2052176153.8–196.7184.9163.2–209.6
2053176.6151.1–197.8177.2149.6–207.4
2054175.5152.8–199.2185.1157.1–208
2055179.2157.3–196.8186.1159.2–212.6
2056178.8156.5–199.7184.6158.5–214.3
2057177.7155.5–201184.7159.3–212.3
2058180.5158.9–202.4188.5163.8–214.7
2059181.8158.3–202.5189.8166.9–218.5
2060185.1159.5–207.8192.6163.4–218.1
2061180.6157.6–203.8186.4158.8–216.8
2062180.6157.1–205.6192.3163.9–218.6
2063185156.8–210.7189.2165.2–220.3
2064184.7159.1–205.7197161.3–218
2065183.8157.1–208.5193.1165.8–225.2
2066187.3159.6–211201170.1–224.7
2067184.9155.9–208.9193.1164.2–223.7
2068187.5161.7–211.1198.6163.7–227.1
2069187.5162–211.3199.4165.8–225
2070187.8160.4–213.6198.7168–226.7
2071190.7162.7–216.6199.3167.9–233.5
2072191.8168.2–215.8202.3173.2–226.2
2073191.4168.7–214.5205.4168.2–233.4
2074189.4162.6–217.7198.2175.4–227.7
2075189.3163.8–214.2199.6168.9–228.3
2076191.1164.3–214198.8169.8–225.2
2077191.9168.8–217.1202172.2–231.2
2078190.1166.5–219.3203.5175.8–232.1
2079190.1163.7–216.2203.6172.2–236.1
2080194.8167.7–219.4204.7172.2–234.3
2081191.7166.7–218.1202.2174.9–231.3
2082193.8169.2–216.7204.3178.3–228.6
2083194.6166.1–218.1205.8170.7–238.3
2084197.9170–219.7208.1175.9–235.6
2085197.8172.3–223.7211.1179.4–241
2086192.9169.6–220203.3175.4–237
2087195.2170.4–220.1205.3181.2–237.7
2088198.1165.1–225.5211.6174.7–240.6
2089196.3167.9–227.6208.9180.5–237.8
2090197.5172.4–228.1209.4173.4–243
2091199.2172.7–226.7214.3179.7–244.8
2092202.4170.7–226.6213.2176.8–242.3
2093202.1172.3–230.5212.5177.8–242.2
2094198.3168.6–224211.8179.7–241.5
2095200.7171.7–225.1216.9185–243.8
2096199.8173.6–226.3213.1182–247.6
2097201.2170–227.6210.8174.9–242.1
2098201.1170.7–227.2214.4181.5–242.2
2099198.3173.8–225.8213.5181.9–244.1
2100198.5173.3–227.7213.3181.5–246.3

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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