Ghana vs Madagascar

Ghana vs Madagascar: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 218.5 nights, or 2.58 times that in Madagascar.

Watch it change on the map

nights a year · CMIP6

Ghana vs Madagascar: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 218.5 nights, or 2.58 times that in Madagascar.
GhanaMadagascarCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ghana has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ghana at 364.2 nights and Madagascar at 198.5 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaMadagascar
2014356.8138.3
2013355.8138
2012356.8138.3
2011355.7136.8
2010355.9134.2
2009353.2133.5
2008353.1132.3
2007353.8133.1
2006353.9131.6
2005352.7130.3
2004352.4133.5
2003353.8131
2002353.2131.8
2001354.9131.7
2000352.2127.4
1999350.2128.4
1998350.6128.6
1997350.5125.3
1996349.1121.8
1995348.9123.3
1994347.9121.8
1993347.1116
1992344.5116.6
1991348.4124.9
1990352.1126.2
1989347.9124
1988347.2123.8
1987346.6122.8
1986348.4123.8
1985347.2120
1984346.2118.6
1983344.8116.5
1982344.8121.8
1981346.8122.1
1980344.5120.3
1979346.4120.7
1978343.9119.3
1977345.9119
1976344.5117.4
1975345.3116.5
1974343119.5
1973344119
1972344.4117
1971342.7116.3
1970344117
1969342.5116.3
1968342113.1
1967342.7113
1966342.1114.1
1965342112.2
1964340109.6
1963342.8109.7
1962345.9115.3
1961344.1118.5
1960345.7118.2
1959344.6119
1958344.6118.7
1957344.1117.6
1956343.5115.5
1955342.5116.6
1954346.8115.9
1953344.5116.4
1952341.9117.4
1951343.8116
1950340.3116.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaMadagascar
2015356341.5–361.7142.8126.7–159.3
2016356.5341.4–361.5137.8122.2–156
2017355.2341.3–361.6143.1125.6–159.4
2018355.8345.7–362.1143.7125.9–160.3
2019353.9343.6–362.3143.4124.4–162.3
2020356341.7–362.9143.4125.2–159
2021356.9345.4–362.7145.4128.8–160.4
2022358.2342–362.6150.4133.4–165.2
2023356.7344–361.7149.7132.1–166
2024358.6347.7–363.4150.7131.4–167.9
2025357.1347.2–361.9149128.8–169.1
2026357.2343.5–362.7150.1127.4–169.9
2027357.5344.3–362.4151.8131.9–170.8
2028359.5348.6–363.6154.9137.7–173.1
2029358.8349–363.1155.7135.2–173.8
2030359.6350.6–363.2154.8136.4–171.3
2031360.8351–364158.1141.3–174.8
2032359.7346.4–363.9157.9136.2–178.4
2033360.2349–364.1158.9136.7–177.8
2034359.4350.8–363.1158.6140.6–179.6
2035360.5350.8–364161.1140.2–181.6
2036360.9350.6–364.9159.5139.4–177.1
2037361350.5–364165.8144.7–182.8
2038361.4354.4–363.9166.5149.3–183.9
2039361.3352.3–364.5164.1145.1–183.9
2040361.5352.2–365.2162.8144.5–184.8
2041361.3351.7–364.3165.8143.5–183.9
2042360.6352.3–364.3165.1144.3–188.4
2043360.6351.8–364165.6148.5–184.7
2044361.6353.6–364.8167.3145.8–187
2045361.1353.2–364.4166.9147.1–187.1
2046361.9353.1–364.1171.4149.6–193
2047362.3350.3–364.5171.7148.8–193.4
2048362.1354.7–365.3173.7151.7–193.6
2049362.6354–364.4172.2151.4–192.9
2050362.2355.3–364.4174.4150.5–193.6
2051362.3355.7–364.6175154.3–195.1
2052362.1354.2–365176153.8–196.7
2053362.4354.1–364.5176.6151.1–197.8
2054362.9354.8–364.6175.5152.8–199.2
2055362.5355.1–364.5179.2157.3–196.8
2056363.3355.6–365.7178.8156.5–199.7
2057363.2355.9–364.8177.7155.5–201
2058363356.3–364.9180.5158.9–202.4
2059362.9356.2–364.8181.8158.3–202.5
2060362.9354.1–365.7185.1159.5–207.8
2061363.2354–364.9180.6157.6–203.8
2062363.1355–364.9180.6157.1–205.6
2063363.2355.5–364.9185156.8–210.7
2064363.3356.6–365.6184.7159.1–205.7
2065363.7357.8–364.9183.8157.1–208.5
2066362.7356.9–364.8187.3159.6–211
2067363.6354.1–364.9184.9155.9–208.9
2068364.1356.3–365.8187.5161.7–211.1
2069362.8356.3–364.9187.5162–211.3
2070363.3356.2–364.9187.8160.4–213.6
2071363.5355.3–364.9190.7162.7–216.6
2072364.1355.6–365.8191.8168.2–215.8
2073363.6355.1–364.8191.4168.7–214.5
2074363.4355.4–364.8189.4162.6–217.7
2075363.4357–364.9189.3163.8–214.2
2076363.8358.4–365.8191.1164.3–214
2077363.8357.8–365191.9168.8–217.1
2078363.9356.6–364.9190.1166.5–219.3
2079364.2358–365190.1163.7–216.2
2080364.3357.8–366194.8167.7–219.4
2081363.8357.1–365191.7166.7–218.1
2082363.5357.1–364.9193.8169.2–216.7
2083364.1358.3–365194.6166.1–218.1
2084364358.5–365.9197.9170–219.7
2085364.1358.3–365197.8172.3–223.7
2086364.1357.8–365192.9169.6–220
2087364.1357.9–365195.2170.4–220.1
2088364.2356.4–365.9198.1165.1–225.5
2089363.9357.6–365196.3167.9–227.6
2090364.2357.6–365197.5172.4–228.1
2091363.9357.6–364.9199.2172.7–226.7
2092364.4356.6–366202.4170.7–226.6
2093364.4358.2–365202.1172.3–230.5
2094364.1357.9–365198.3168.6–224
2095364358.2–365200.7171.7–225.1
2096363.9358–366199.8173.6–226.3
2097363.9356.3–364.9201.2170–227.6
2098363.7357.8–364.9201.1170.7–227.2
2099363.9358.6–365198.3173.8–225.8
2100364.2357.6–365198.5173.3–227.7

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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