India vs Nigeria

India vs Nigeria: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 88.4 nights, or 1.41 times that in India.

Watch it change on the map

nights a year · CMIP6

India vs Nigeria: Tropical nightsTropical nights in 2014: 215.5 nights in India and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 88.4 nights, or 1.41 times that in India.
IndiaNigeriaCMIP6 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 India at 250.4 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearIndiaNigeria
2014215.5303.9
2013216299.5
2012217.4304.4
2011215.5301.5
2010215.2301.4
2009213.7297.8
2008213.7297.4
2007213.3298
2006212.5297.2
2005212.9295.4
2004214.9294.1
2003212.1298.4
2002213295.2
2001212.2299.1
2000210.8293.9
1999211.9290.3
1998210.3289.9
1997209.5292.5
1996207290
1995208.8289.1
1994207.1287.4
1993206284
1992203.5281.6
1991208289.1
1990209.9290.6
1989208287.2
1988207.3288
1987207.2285.6
1986207.2289.1
1985205.9284.2
1984206.7284.4
1983203.3281.9
1982205.7283.5
1981208.4286.4
1980205.3282.8
1979205.5283
1978204.1282.8
1977205.9285.9
1976204.6281.7
1975202.6280.4
1974205.3280.7
1973205.6284.3
1972203.8284.1
1971203.6279.3
1970202.6282
1969203.6278.7
1968201.7279.6
1967201.6278.1
1966203.9279.4
1965202.4279
1964201.2276.8
1963201.8275.1
1962203.8284.1
1961206.3281.9
1960206285.9
1959206.1282.8
1958204281.4
1957206.5283.3
1956204280.8
1955203.2280.4
1954206284.1
1953204280.4
1952204.4280.8
1951204.3284.2
1950206.3279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaNigeria
2015216.9202.1–228.4301.7282.9–317.3
2016215202.5–227.6301.4280.8–312.5
2017216.2202.1–228.5302.5284.3–316.3
2018218.3204.5–231.4302.2286.8–316.5
2019217.4202.3–230.4300.1281.2–318
2020217.6203.1–232303283.7–318.5
2021219.7204.5–233.2305.1287.1–318.4
2022220.5205.8–233305.1286–319.5
2023220.4206.4–233.7305286.4–318.9
2024222.6208.1–236.3310.6295.1–321.5
2025219.7202.7–236.2307.5292–319.4
2026220.2204.2–236.8306.9286.1–322.9
2027223.6207.1–239307.4288–321.7
2028222.1205.1–235.7310.7293.4–322.6
2029225.4210–240.3311.4293.3–324.4
2030222.7207.3–235.6310.6294.1–322.5
2031223.8207.1–237.8312.2295–324.8
2032225.9210–240.5310290–323.5
2033223.8209.3–235.4313292.9–327
2034225.8210–242.7311.7294.8–325.1
2035224.9210.6–240.9314.5296.7–327.7
2036224.2210.4–240.3313.5294.1–326.5
2037228.3213.6–242.6315.6297.9–327.1
2038228.1212.6–241.4316.9301.2–329.6
2039227.4211.9–242.8315.4299.4–328.2
2040227212.2–242315.6297.9–327.4
2041227.1210.7–240.5316.8300.6–330.2
2042229.1214.8–244.2316.3300.3–330.3
2043228.9214.5–244316298.4–326
2044229.7214.7–244.2317.9299.5–329.6
2045231.2216.6–246.1316.6300.5–330.4
2046232.6216.2–248.6317.8302.2–330.7
2047232.4215.5–250319.8301.5–333
2048235.6218.5–254.3320.1302.4–331.7
2049235.3218.3–249.9320.7305.3–331.7
2050233.5216.6–253.4320.9304–335
2051234.9218.6–249.9321304.1–334.2
2052234219.4–249.3320.9303.9–333.5
2053234.9219.5–252.5320.9303.3–334.1
2054237.2219.4–253.1324.5304.5–338.2
2055237.2220.7–256.6322.2308.4–333.7
2056238.8221.2–254.9324.8305.8–336.3
2057235.7218.5–253.8326310.8–337.3
2058238.8222.8–254.1322.9307.4–334.2
2059241.1224.9–256.2325.7308.9–339
2060240.9225.6–255.6323.8307.5–337
2061237.9220.6–253.7324.4307.1–338.2
2062239.9221.2–259.7325.7308–339.3
2063239.9222.3–256.1326.6308.7–337
2064240223.8–256.3326.2311–339.8
2065240.9222.9–257.3327.6313.5–339.4
2066241.5224.1–258.6328.4311.3–339.6
2067241.6224.8–257.9326308.4–340.5
2068242.3224.6–262.1329.3311.2–342.9
2069242.8225.4–259.1326.6309.9–338.1
2070240.1225.3–257.1327.4312.6–340.7
2071241.8223.7–260.2329.1313–341.1
2072242.6225.4–259.2330.3315.9–342.1
2073243.8228–259.3326.3309.5–341
2074241.6226.9–258.4326.7311.4–341.4
2075243.5226.4–258.2328.9314.5–341.8
2076243.2224.6–259.9329.6313.4–342
2077243.7226.6–264.6332.5314.4–343.3
2078246.7230.1–261.5329.8312.8–342.1
2079244.9226.4–261.3329.6313.8–340.6
2080246.7227–263.7331.7314.1–344.8
2081247.5230.4–264.8329.3311.6–343.7
2082244.6227.9–262.3329.3313.3–341.4
2083247.5227.8–265.1330.4315–342.2
2084247.3228.3–266.8330.5311.9–344.2
2085246.5227.5–267.1332.7316.6–343.6
2086245.6227.7–266.5331.9316.3–343.6
2087245.5226.7–266.2330.7314.9–342.4
2088247229.4–266.9331.7313.2–342.7
2089248.1230–266.3331.1318.3–341.9
2090249228.9–266.4332.4312.7–343.9
2091248.9230–266.5333.3311–345.8
2092249.8232.3–267.8332.7313.8–345.7
2093248.1229–266.5334.2318.6–344.9
2094249.1230.6–268.4334.2317.3–345.6
2095251233.2–270333.8319.3–346.3
2096247.8231.4–269.3332.5317.4–346.7
2097251.1231.4–268331.8312.6–344.6
2098252.3230.8–268.3332.3316–343.7
2099248.7230.1–268.3333316.9–344.2
2100250.4232.9–266.7332.3318.5–345

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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