Ghana vs Nigeria

Ghana vs Nigeria: Tropical nights

Tropical nights in 2014: 356.8 nights in Ghana and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 52.9 nights, or 1.17 times that in Nigeria.

nights a year · CMIP6

Ghana vs Nigeria: Tropical nightsTropical nights in 2014: 356.8 nights in Ghana and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ghana, by 52.9 nights, or 1.17 times that in Nigeria.
GhanaNigeriaCMIP6 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearGhanaNigeria
2014356.8303.9
2013355.8299.5
2012356.8304.4
2011355.7301.5
2010355.9301.4
2009353.2297.8
2008353.1297.4
2007353.8298
2006353.9297.2
2005352.7295.4
2004352.4294.1
2003353.8298.4
2002353.2295.2
2001354.9299.1
2000352.2293.9
1999350.2290.3
1998350.6289.9
1997350.5292.5
1996349.1290
1995348.9289.1
1994347.9287.4
1993347.1284
1992344.5281.6
1991348.4289.1
1990352.1290.6
1989347.9287.2
1988347.2288
1987346.6285.6
1986348.4289.1
1985347.2284.2
1984346.2284.4
1983344.8281.9
1982344.8283.5
1981346.8286.4
1980344.5282.8
1979346.4283
1978343.9282.8
1977345.9285.9
1976344.5281.7
1975345.3280.4
1974343280.7
1973344284.3
1972344.4284.1
1971342.7279.3
1970344282
1969342.5278.7
1968342279.6
1967342.7278.1
1966342.1279.4
1965342279
1964340276.8
1963342.8275.1
1962345.9284.1
1961344.1281.9
1960345.7285.9
1959344.6282.8
1958344.6281.4
1957344.1283.3
1956343.5280.8
1955342.5280.4
1954346.8284.1
1953344.5280.4
1952341.9280.8
1951343.8284.2
1950340.3279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGhanaNigeria
2015356341.5–361.7301.7282.9–317.3
2016356.5341.4–361.5301.4280.8–312.5
2017355.2341.3–361.6302.5284.3–316.3
2018355.8345.7–362.1302.2286.8–316.5
2019353.9343.6–362.3300.1281.2–318
2020356341.7–362.9303283.7–318.5
2021356.9345.4–362.7305.1287.1–318.4
2022358.2342–362.6305.1286–319.5
2023356.7344–361.7305286.4–318.9
2024358.6347.7–363.4310.6295.1–321.5
2025357.1347.2–361.9307.5292–319.4
2026357.2343.5–362.7306.9286.1–322.9
2027357.5344.3–362.4307.4288–321.7
2028359.5348.6–363.6310.7293.4–322.6
2029358.8349–363.1311.4293.3–324.4
2030359.6350.6–363.2310.6294.1–322.5
2031360.8351–364312.2295–324.8
2032359.7346.4–363.9310290–323.5
2033360.2349–364.1313292.9–327
2034359.4350.8–363.1311.7294.8–325.1
2035360.5350.8–364314.5296.7–327.7
2036360.9350.6–364.9313.5294.1–326.5
2037361350.5–364315.6297.9–327.1
2038361.4354.4–363.9316.9301.2–329.6
2039361.3352.3–364.5315.4299.4–328.2
2040361.5352.2–365.2315.6297.9–327.4
2041361.3351.7–364.3316.8300.6–330.2
2042360.6352.3–364.3316.3300.3–330.3
2043360.6351.8–364316298.4–326
2044361.6353.6–364.8317.9299.5–329.6
2045361.1353.2–364.4316.6300.5–330.4
2046361.9353.1–364.1317.8302.2–330.7
2047362.3350.3–364.5319.8301.5–333
2048362.1354.7–365.3320.1302.4–331.7
2049362.6354–364.4320.7305.3–331.7
2050362.2355.3–364.4320.9304–335
2051362.3355.7–364.6321304.1–334.2
2052362.1354.2–365320.9303.9–333.5
2053362.4354.1–364.5320.9303.3–334.1
2054362.9354.8–364.6324.5304.5–338.2
2055362.5355.1–364.5322.2308.4–333.7
2056363.3355.6–365.7324.8305.8–336.3
2057363.2355.9–364.8326310.8–337.3
2058363356.3–364.9322.9307.4–334.2
2059362.9356.2–364.8325.7308.9–339
2060362.9354.1–365.7323.8307.5–337
2061363.2354–364.9324.4307.1–338.2
2062363.1355–364.9325.7308–339.3
2063363.2355.5–364.9326.6308.7–337
2064363.3356.6–365.6326.2311–339.8
2065363.7357.8–364.9327.6313.5–339.4
2066362.7356.9–364.8328.4311.3–339.6
2067363.6354.1–364.9326308.4–340.5
2068364.1356.3–365.8329.3311.2–342.9
2069362.8356.3–364.9326.6309.9–338.1
2070363.3356.2–364.9327.4312.6–340.7
2071363.5355.3–364.9329.1313–341.1
2072364.1355.6–365.8330.3315.9–342.1
2073363.6355.1–364.8326.3309.5–341
2074363.4355.4–364.8326.7311.4–341.4
2075363.4357–364.9328.9314.5–341.8
2076363.8358.4–365.8329.6313.4–342
2077363.8357.8–365332.5314.4–343.3
2078363.9356.6–364.9329.8312.8–342.1
2079364.2358–365329.6313.8–340.6
2080364.3357.8–366331.7314.1–344.8
2081363.8357.1–365329.3311.6–343.7
2082363.5357.1–364.9329.3313.3–341.4
2083364.1358.3–365330.4315–342.2
2084364358.5–365.9330.5311.9–344.2
2085364.1358.3–365332.7316.6–343.6
2086364.1357.8–365331.9316.3–343.6
2087364.1357.9–365330.7314.9–342.4
2088364.2356.4–365.9331.7313.2–342.7
2089363.9357.6–365331.1318.3–341.9
2090364.2357.6–365332.4312.7–343.9
2091363.9357.6–364.9333.3311–345.8
2092364.4356.6–366332.7313.8–345.7
2093364.4358.2–365334.2318.6–344.9
2094364.1357.9–365334.2317.3–345.6
2095364358.2–365333.8319.3–346.3
2096363.9358–366332.5317.4–346.7
2097363.9356.3–364.9331.8312.6–344.6
2098363.7357.8–364.9332.3316–343.7
2099363.9358.6–365333316.9–344.2
2100364.2357.6–365332.3318.5–345

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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