Israel vs Nigeria

Israel vs Nigeria: Tropical nights

Tropical nights in 2014: 97.9 nights in Israel and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 206 nights, or 3.1 times that in Israel.

nights a year · CMIP6

Israel vs Nigeria: Tropical nightsTropical nights in 2014: 97.9 nights in Israel and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 206 nights, or 3.1 times that in Israel.
IsraelNigeriaCMIP6 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 Israel at 149.4 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearIsraelNigeria
201497.9303.9
201398299.5
201296.3304.4
201196.1301.5
201095.5301.4
200992.5297.8
200894.1297.4
200792.7298
200692297.2
200592.3295.4
200490.7294.1
200393.9298.4
200289.5295.2
200191299.1
200089.5293.9
199986.2290.3
199884.8289.9
199784.2292.5
199683.7290
199579.3289.1
199480.1287.4
199371.6284
199274.9281.6
199178.4289.1
199080.2290.6
198976.9287.2
198876.5288
198775.1285.6
198678.3289.1
198574284.2
198469.4284.4
198368.9281.9
198273.5283.5
198173.5286.4
198075.3282.8
197968.7283
197871.6282.8
197772.3285.9
197673.2281.7
197570.9280.4
197472.5280.7
197371.9284.3
197269.9284.1
197173.1279.3
197071.6282
196970.6278.7
196869.6279.6
196766.9278.1
196668.8279.4
196563.5279
196466.1276.8
196370.9275.1
196273284.1
196171.5281.9
196074.9285.9
195975282.8
195873281.4
195774.8283.3
195674.3280.8
195572.8280.4
195471.4284.1
195373.7280.4
195272280.8
195175.1284.2
195069.5279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelNigeria
2015105.988.4–122.7301.7282.9–317.3
2016104.186.9–120.1301.4280.8–312.5
2017107.892.2–121.4302.5284.3–316.3
201810993.8–124.2302.2286.8–316.5
201910989.1–124.5300.1281.2–318
2020111.594.8–123.5303283.7–318.5
202111097.7–128.4305.1287.1–318.4
2022111.493.6–130.2305.1286–319.5
2023117.297.9–130.5305286.4–318.9
2024114.5100.4–127.3310.6295.1–321.5
2025116.698.3–129.2307.5292–319.4
2026115.9104.9–126.2306.9286.1–322.9
2027115.699–127.1307.4288–321.7
2028116.3100.2–127.9310.7293.4–322.6
2029117103.1–129.2311.4293.3–324.4
2030118.6102.1–131.2310.6294.1–322.5
2031116.8104.4–132.8312.2295–324.8
2032121.4106.5–134.7310290–323.5
2033122.1108.9–134.7313292.9–327
2034119.7103.1–133.4311.7294.8–325.1
2035122.8105.8–138.8314.5296.7–327.7
2036120.2105.5–136.2313.5294.1–326.5
2037121.6106.3–139.4315.6297.9–327.1
2038126.5105.7–142.1316.9301.2–329.6
2039127.7110.5–147.1315.4299.4–328.2
2040124.2109.7–144.9315.6297.9–327.4
2041126108.4–141.5316.8300.6–330.2
2042128.5105.8–144.3316.3300.3–330.3
2043126.5111.8–144.3316298.4–326
2044125.9108.5–142.9317.9299.5–329.6
2045130.9117.5–148.6316.6300.5–330.4
2046131114.4–147.2317.8302.2–330.7
2047132.3116.1–145.4319.8301.5–333
2048129.9118.5–146.9320.1302.4–331.7
2049127.9108.7–143.9320.7305.3–331.7
2050133.3114.3–147320.9304–335
2051130.3116.7–143.9321304.1–334.2
2052130.3119.9–143.5320.9303.9–333.5
2053135120.4–149.7320.9303.3–334.1
2054134.1118.8–149.3324.5304.5–338.2
2055134.1115.2–150.3322.2308.4–333.7
2056136110.1–151.1324.8305.8–336.3
2057132.7110.9–155326310.8–337.3
2058135.7119.1–155.4322.9307.4–334.2
2059138.8118.5–156.7325.7308.9–339
2060136.1116.3–159.2323.8307.5–337
2061136119–150.7324.4307.1–338.2
2062139118.7–156325.7308–339.3
2063137.4120.1–151.2326.6308.7–337
2064139.3121–154.3326.2311–339.8
2065139.6122.3–154.3327.6313.5–339.4
2066137.3119.6–153.7328.4311.3–339.6
2067142.8126–157.8326308.4–340.5
2068141.2122.8–156.4329.3311.2–342.9
2069141.5123.7–157.6326.6309.9–338.1
2070141.8120.5–157.5327.4312.6–340.7
2071142.9124.3–161.8329.1313–341.1
2072144.3127–158.5330.3315.9–342.1
2073143.6127.3–159.2326.3309.5–341
2074138.8123–162.2326.7311.4–341.4
2075138.1120.8–154.6328.9314.5–341.8
2076143.2126.8–161.5329.6313.4–342
2077142.8120.5–161.6332.5314.4–343.3
2078143.6128.2–160.6329.8312.8–342.1
2079148.6123.7–160.2329.6313.8–340.6
2080145.5123.5–163.7331.7314.1–344.8
2081143.7128.1–161.2329.3311.6–343.7
2082145.8129.5–160.6329.3313.3–341.4
2083149.4126–163.1330.4315–342.2
2084148128.2–164330.5311.9–344.2
2085149127.9–162.4332.7316.6–343.6
2086148127.4–167.1331.9316.3–343.6
2087146.4123.7–165.7330.7314.9–342.4
2088147.6133.5–165.3331.7313.2–342.7
2089148.4131.4–169.1331.1318.3–341.9
2090147.6132.4–168.8332.4312.7–343.9
2091151.9131.7–170.6333.3311–345.8
2092148.2132–167.4332.7313.8–345.7
2093154.1135.3–172.2334.2318.6–344.9
2094153.2133.6–170.3334.2317.3–345.6
2095148.2131.4–164.1333.8319.3–346.3
2096150.5130.5–172.6332.5317.4–346.7
2097149.8134.4–172.7331.8312.6–344.6
2098150.9131.3–170.1332.3316–343.7
2099149.5129–166.6333316.9–344.2
2100149.4130.1–168.5332.3318.5–345

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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