Nigeria vs Saudi Arabia

Nigeria vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 122.4 nights, or 1.67 times that in Saudi Arabia.

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nights a year · CMIP6

Nigeria vs Saudi Arabia: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 122.4 nights, or 1.67 times that in Saudi Arabia.
NigeriaSaudi ArabiaCMIP6 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 Nigeria at 332.3 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaSaudi Arabia
2014303.9181.5
2013299.5180.4
2012304.4182.8
2011301.5182.7
2010301.4179.2
2009297.8177.1
2008297.4180.3
2007298178.9
2006297.2177.5
2005295.4177.9
2004294.1177.6
2003298.4177.4
2002295.2175.6
2001299.1178.1
2000293.9176.4
1999290.3173.2
1998289.9173.4
1997292.5173.8
1996290172
1995289.1169.2
1994287.4170.4
1993284164.6
1992281.6165.9
1991289.1169.2
1990290.6172.7
1989287.2168.9
1988288166.8
1987285.6167.3
1986289.1169.4
1985284.2166
1984284.4165
1983281.9163.5
1982283.5164.7
1981286.4168.9
1980282.8166.8
1979283165.3
1978282.8164.8
1977285.9165.6
1976281.7165.9
1975280.4161.2
1974280.7162.9
1973284.3163.7
1972284.1163.7
1971279.3160.4
1970282162.5
1969278.7161.3
1968279.6162.7
1967278.1159.5
1966279.4159.5
1965279159.5
1964276.8159.9
1963275.1160.2
1962284.1163.2
1961281.9163.7
1960285.9165.7
1959282.8164.4
1958281.4164.1
1957283.3165.5
1956280.8163.6
1955280.4162
1954284.1161.2
1953280.4162.5
1952280.8163.4
1951284.2161.2
1950279.3161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaSaudi Arabia
2015301.7282.9–317.3184.9169.4–198.7
2016301.4280.8–312.5183167.7–195.7
2017302.5284.3–316.3182.6168.1–196.7
2018302.2286.8–316.5186.8173.1–199.4
2019300.1281.2–318184.1168.8–199.1
2020303283.7–318.5185.3171.8–198.9
2021305.1287.1–318.4188.6173.6–202.8
2022305.1286–319.5187.6170.7–202
2023305286.4–318.9188.6173–203.8
2024310.6295.1–321.5187.1172.9–203.9
2025307.5292–319.4191.5176–206.1
2026306.9286.1–322.9191.8177.1–205.5
2027307.4288–321.7191.2176.6–206.8
2028310.7293.4–322.6191.9175.5–205.1
2029311.4293.3–324.4192.2176.6–205.7
2030310.6294.1–322.5193.3178.4–206.3
2031312.2295–324.8194.7179.1–207.6
2032310290–323.5192.2175.2–206
2033313292.9–327192.6177.5–206.9
2034311.7294.8–325.1196.7181.6–213
2035314.5296.7–327.7196.5179.9–211.6
2036313.5294.1–326.5194.1180–209.7
2037315.6297.9–327.1197183.7–209.9
2038316.9301.2–329.6198.4182.3–213.3
2039315.4299.4–328.2198184.4–213.6
2040315.6297.9–327.4199.2182.1–212.7
2041316.8300.6–330.2197.7181.4–211.7
2042316.3300.3–330.3198.3181.2–217
2043316298.4–326198.2182.3–215.3
2044317.9299.5–329.6199.2185.5–213.5
2045316.6300.5–330.4202187.1–216.8
2046317.8302.2–330.7204.1185.3–219.4
2047319.8301.5–333204.1187.4–220
2048320.1302.4–331.7206.1190.7–220
2049320.7305.3–331.7201.6187.7–216.2
2050320.9304–335205.7190.2–219.3
2051321304.1–334.2204.3188.8–222.1
2052320.9303.9–333.5203.8189.6–218
2053320.9303.3–334.1203.8186.3–218.8
2054324.5304.5–338.2207.6188.3–222.3
2055322.2308.4–333.7207.8190.8–221
2056324.8305.8–336.3203.7186.6–220.1
2057326310.8–337.3207.5188.8–224.2
2058322.9307.4–334.2205.9189.2–221.4
2059325.7308.9–339207.3191.6–226.9
2060323.8307.5–337206.9192.7–222.8
2061324.4307.1–338.2206.5190.4–220.9
2062325.7308–339.3208.1189.4–228.3
2063326.6308.7–337210.4193–227.1
2064326.2311–339.8207.5191.9–223.3
2065327.6313.5–339.4208.9193.9–226.1
2066328.4311.3–339.6210.3194.9–228
2067326308.4–340.5210.9193.1–228.6
2068329.3311.2–342.9209.8194.6–228.6
2069326.6309.9–338.1208.9194.5–226.3
2070327.4312.6–340.7211.2191.2–229
2071329.1313–341.1215.1196.3–233.3
2072330.3315.9–342.1213.6195.3–229.3
2073326.3309.5–341213.7194.1–231.6
2074326.7311.4–341.4210.5191.9–229.3
2075328.9314.5–341.8212.1196.6–231.8
2076329.6313.4–342212.8194.8–230.3
2077332.5314.4–343.3215.1196.6–233.9
2078329.8312.8–342.1215.5197.6–230.7
2079329.6313.8–340.6213.6197–229
2080331.7314.1–344.8213.6197.1–233.9
2081329.3311.6–343.7214.7194.4–231.6
2082329.3313.3–341.4214198.9–230.9
2083330.4315–342.2214.2198.5–238
2084330.5311.9–344.2217.4197.4–233.1
2085332.7316.6–343.6217.4199.6–237.9
2086331.9316.3–343.6217197.4–237.4
2087330.7314.9–342.4217.3199.7–238.7
2088331.7313.2–342.7216.1198.2–243.1
2089331.1318.3–341.9217.6199.5–239
2090332.4312.7–343.9217.3198.5–239.2
2091333.3311–345.8218.5202.8–238.4
2092332.7313.8–345.7218.5198.5–241.6
2093334.2318.6–344.9216.6197.8–236.3
2094334.2317.3–345.6218.8202–236.9
2095333.8319.3–346.3219.4204.2–237.4
2096332.5317.4–346.7219.9197.7–239.6
2097331.8312.6–344.6216.7196.8–239.7
2098332.3316–343.7219.7199.6–241.3
2099333316.9–344.2216.8200.8–236.8
2100332.3318.5–345218.7202.3–241

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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