Nigeria vs Senegal

Nigeria vs Senegal: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 1.8 nights, or 1.01 times that in Senegal.

nights a year · CMIP6

Nigeria vs Senegal: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 302.1 nights in Senegal, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 1.8 nights, or 1.01 times that in Senegal.
NigeriaSenegalCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria has been higher since 2014, when it overtook Senegal.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Nigeria at 332.3 nights and Senegal at 347.3 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaSenegal
2014303.9302.1
2013299.5300.9
2012304.4304.1
2011301.5302.1
2010301.4301.5
2009297.8302.1
2008297.4298.3
2007298298.5
2006297.2298.6
2005295.4298.1
2004294.1294.7
2003298.4296.1
2002295.2296
2001299.1298.9
2000293.9295
1999290.3293.2
1998289.9292.5
1997292.5288.5
1996290285.1
1995289.1285.9
1994287.4283.7
1993284282
1992281.6277.6
1991289.1286.7
1990290.6292.5
1989287.2282.1
1988288282.4
1987285.6281.8
1986289.1283
1985284.2278.1
1984284.4274.6
1983281.9276.3
1982283.5281.3
1981286.4277.9
1980282.8277.6
1979283281
1978282.8280.7
1977285.9278
1976281.7274.4
1975280.4278.4
1974280.7273.8
1973284.3274.5
1972284.1273.5
1971279.3273.4
1970282271.3
1969278.7271.6
1968279.6272.6
1967278.1275.4
1966279.4273.3
1965279272.8
1964276.8271.8
1963275.1272.8
1962284.1280.2
1961281.9276.9
1960285.9279.2
1959282.8277.4
1958281.4278.8
1957283.3274.4
1956280.8273.2
1955280.4273.4
1954284.1275
1953280.4271.7
1952280.8271
1951284.2272.9
1950279.3270.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaSenegal
2015301.7282.9–317.3298.9275.9–321
2016301.4280.8–312.5302.7276.5–319
2017302.5284.3–316.3302.9285.4–318.6
2018302.2286.8–316.5305.6289.2–321.5
2019300.1281.2–318307.6280.6–328.1
2020303283.7–318.5305.2276.2–322.9
2021305.1287.1–318.4307.6286–325.6
2022305.1286–319.5312.9289.6–334.3
2023305286.4–318.9307.5292.2–328.6
2024310.6295.1–321.5313.2294.6–326.9
2025307.5292–319.4311.8289–329.4
2026306.9286.1–322.9308.3285.2–328.6
2027307.4288–321.7310.7287.8–330
2028310.7293.4–322.6316.3289.2–331.6
2029311.4293.3–324.4315.7291.2–334.2
2030310.6294.1–322.5311.5289.1–329.1
2031312.2295–324.8318.8296.3–335
2032310290–323.5316295.7–332.4
2033313292.9–327316.7289.6–336.4
2034311.7294.8–325.1315.4291.6–335.1
2035314.5296.7–327.7316.8291.1–335.3
2036313.5294.1–326.5320.8298.5–335.3
2037315.6297.9–327.1324.5303.1–337.7
2038316.9301.2–329.6323.5304.2–339.7
2039315.4299.4–328.2323.3300.9–337
2040315.6297.9–327.4322.4298.9–339.5
2041316.8300.6–330.2320.2300.1–343.6
2042316.3300.3–330.3320302.1–339.9
2043316298.4–326320.4303.7–340.4
2044317.9299.5–329.6326.9301.5–340.9
2045316.6300.5–330.4324.1304.1–340
2046317.8302.2–330.7325.9304.7–340.6
2047319.8301.5–333329301.4–347
2048320.1302.4–331.7331.1314.3–344.8
2049320.7305.3–331.7331.3308.3–343.7
2050320.9304–335327.6306.5–341.9
2051321304.1–334.2328307.1–344
2052320.9303.9–333.5325.4308.1–344.2
2053320.9303.3–334.1331.8304.9–347.2
2054324.5304.5–338.2330.1310.8–345.2
2055322.2308.4–333.7330.1305.5–344
2056324.8305.8–336.3331.4307.4–349.8
2057326310.8–337.3337306.4–351.5
2058322.9307.4–334.2333313.2–350.2
2059325.7308.9–339334315.6–353.5
2060323.8307.5–337334.5316.4–351.1
2061324.4307.1–338.2333.7307.5–352.9
2062325.7308–339.3333.3312.4–350.2
2063326.6308.7–337335.4313.2–352.8
2064326.2311–339.8335.4307.1–351.1
2065327.6313.5–339.4334.8314.1–352.8
2066328.4311.3–339.6337.3312.9–351
2067326308.4–340.5335.5309.9–349.9
2068329.3311.2–342.9335.5313.5–354
2069326.6309.9–338.1336.1316.9–351.8
2070327.4312.6–340.7333.3312.9–352.9
2071329.1313–341.1335.7321.1–351.9
2072330.3315.9–342.1342.3321–354.6
2073326.3309.5–341339.4320.1–356.1
2074326.7311.4–341.4335.9317.1–351.8
2075328.9314.5–341.8338.4320.7–354.1
2076329.6313.4–342338.7321.9–352
2077332.5314.4–343.3342.8314.8–357.3
2078329.8312.8–342.1343325.8–355.4
2079329.6313.8–340.6341.2322.3–357.6
2080331.7314.1–344.8340.9317.7–358.1
2081329.3311.6–343.7339.8315.5–357.1
2082329.3313.3–341.4341.6316.4–354.9
2083330.4315–342.2340.8324.8–356.9
2084330.5311.9–344.2340.4322.8–354.9
2085332.7316.6–343.6346.8325.6–357
2086331.9316.3–343.6341.7324.4–357.6
2087330.7314.9–342.4343.9325.9–357.7
2088331.7313.2–342.7341.5321.6–358.2
2089331.1318.3–341.9343.2324.3–355.2
2090332.4312.7–343.9342320.6–356
2091333.3311–345.8341.7319.8–356.4
2092332.7313.8–345.7339.7318.4–357.7
2093334.2318.6–344.9345326.8–356.4
2094334.2317.3–345.6344.4324.3–357.6
2095333.8319.3–346.3346.3320.6–359.4
2096332.5317.4–346.7344.4323.1–359.2
2097331.8312.6–344.6341.4321.3–353.8
2098332.3316–343.7345322.3–357
2099333316.9–344.2344.6322.7–357.5
2100332.3318.5–345347.3323.6–359.2

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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