Niger vs Nigeria

Niger vs Nigeria: Tropical nights

Tropical nights in 2014: 221.6 nights in Niger and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 82.3 nights, or 1.37 times that in Niger.

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nights a year · CMIP6

Niger vs Nigeria: Tropical nightsTropical nights in 2014: 221.6 nights in Niger and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 82.3 nights, or 1.37 times that in Niger.
NigerNigeriaCMIP6 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 Niger at 251.1 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearNigerNigeria
2014221.6303.9
2013216.1299.5
2012220.8304.4
2011220.1301.5
2010219.1301.4
2009217.2297.8
2008216.8297.4
2007216.9298
2006214.3297.2
2005213.6295.4
2004213.6294.1
2003215.5298.4
2002214.6295.2
2001213.4299.1
2000211.2293.9
1999210.4290.3
1998207.7289.9
1997211.5292.5
1996208.6290
1995208.3289.1
1994207.8287.4
1993202.6284
1992203.4281.6
1991209.4289.1
1990208.1290.6
1989206287.2
1988203288
1987204.9285.6
1986206.8289.1
1985203.9284.2
1984201.8284.4
1983200.5281.9
1982201.9283.5
1981204.3286.4
1980200.6282.8
1979200.5283
1978202282.8
1977203.8285.9
1976201.7281.7
1975199280.4
1974200.6280.7
1973202.6284.3
1972200.7284.1
1971200.8279.3
1970199.8282
1969196.1278.7
1968200.3279.6
1967196.6278.1
1966198.2279.4
1965199279
1964199.2276.8
1963196.7275.1
1962201.1284.1
1961198.2281.9
1960203.2285.9
1959201.6282.8
1958199.2281.4
1957201.1283.3
1956199.6280.8
1955199.7280.4
1954201.1284.1
1953196.5280.4
1952197.9280.8
1951199.8284.2
1950200.8279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigerNigeria
2015218.8202.8–235.8301.7282.9–317.3
2016217.7201.8–230.6301.4280.8–312.5
2017222.4205.2–237.4302.5284.3–316.3
2018220.5206.3–238.8302.2286.8–316.5
2019219.1201.8–238.1300.1281.2–318
2020220.9206.9–234.7303283.7–318.5
2021222.8208.2–240.2305.1287.1–318.4
2022226.3209.7–239.2305.1286–319.5
2023223.2206.6–238.4305286.4–318.9
2024228.4214.3–242.9310.6295.1–321.5
2025226.7211.2–241307.5292–319.4
2026226.3210–243.1306.9286.1–322.9
2027228.5209.9–241.1307.4288–321.7
2028227.1211.9–240.2310.7293.4–322.6
2029230.4213.3–247.1311.4293.3–324.4
2030226.4211.6–242.2310.6294.1–322.5
2031230.1210.8–247.1312.2295–324.8
2032228.7212.3–241310290–323.5
2033229.9214.9–245.4313292.9–327
2034229.5212.1–244.9311.7294.8–325.1
2035232.3217.5–248314.5296.7–327.7
2036230.2213.7–244.6313.5294.1–326.5
2037233.2215.1–246.5315.6297.9–327.1
2038234.3218.2–249.7316.9301.2–329.6
2039231214.2–247.1315.4299.4–328.2
2040230.8214.8–247.5315.6297.9–327.4
2041232.6218.6–252.9316.8300.6–330.2
2042233.8216.2–250.5316.3300.3–330.3
2043232.5217.8–245.8316298.4–326
2044233.8218.2–250.1317.9299.5–329.6
2045233.6218.1–249.7316.6300.5–330.4
2046234.3217–250.2317.8302.2–330.7
2047238.4224.3–253.1319.8301.5–333
2048238221.4–254320.1302.4–331.7
2049237.7217.4–253320.7305.3–331.7
2050238.2220.7–254.5320.9304–335
2051236.3220.6–254.7321304.1–334.2
2052239.5224.3–255.8320.9303.9–333.5
2053236.3223.9–255.6320.9303.3–334.1
2054239.4220.2–257.9324.5304.5–338.2
2055238.6223.7–254.7322.2308.4–333.7
2056239214.7–260.3324.8305.8–336.3
2057240.4223–256.3326310.8–337.3
2058238.2220.2–255.7322.9307.4–334.2
2059243.9224.6–262.7325.7308.9–339
2060239.8222.6–260323.8307.5–337
2061242.5224.9–258.5324.4307.1–338.2
2062241.6222.4–259.8325.7308–339.3
2063241.3220.9–255.2326.6308.7–337
2064244.4225.9–259.5326.2311–339.8
2065242.8226.5–262.4327.6313.5–339.4
2066245.6227–263.5328.4311.3–339.6
2067240.7224.9–262326308.4–340.5
2068244224.3–265.4329.3311.2–342.9
2069243.9225.5–261.6326.6309.9–338.1
2070243.1225.6–261.3327.4312.6–340.7
2071246.1230.3–264329.1313–341.1
2072247.9229.9–263.7330.3315.9–342.1
2073243.4225.4–262.8326.3309.5–341
2074243.2224.4–264.6326.7311.4–341.4
2075244.3230.2–263.3328.9314.5–341.8
2076246.5228.5–266.6329.6313.4–342
2077250.1232.3–267.4332.5314.4–343.3
2078249.2230.8–264.5329.8312.8–342.1
2079244.4228.7–263.8329.6313.8–340.6
2080248.8230.4–267331.7314.1–344.8
2081247227.8–268.1329.3311.6–343.7
2082247230.6–264.4329.3313.3–341.4
2083247.3230.7–267.5330.4315–342.2
2084247.7229.4–265.2330.5311.9–344.2
2085248.9227–264.2332.7316.6–343.6
2086250.4230.9–269.5331.9316.3–343.6
2087245.8226.2–266.9330.7314.9–342.4
2088248.3226.7–271.1331.7313.2–342.7
2089251.9232.5–269.5331.1318.3–341.9
2090249.7227.7–267.4332.4312.7–343.9
2091248.9230.5–272.2333.3311–345.8
2092251229.8–274332.7313.8–345.7
2093249.9234.8–267334.2318.6–344.9
2094252.2234–267.5334.2317.3–345.6
2095251.1233–270.7333.8319.3–346.3
2096250.8234.8–270.4332.5317.4–346.7
2097250.2227.8–270.8331.8312.6–344.6
2098250.1228.1–268.5332.3316–343.7
2099251.9232.2–268.2333316.9–344.2
2100251.1234.5–271.5332.3318.5–345

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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