Iran vs Nigeria

Iran vs Nigeria: Tropical nights

Tropical nights in 2014: 90.8 nights in Iran and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 213.1 nights, or 3.35 times that in Iran.

nights a year · CMIP6

Iran vs Nigeria: Tropical nightsTropical nights in 2014: 90.8 nights in Iran and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 213.1 nights, or 3.35 times that in Iran.
IranNigeriaCMIP6 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 Iran at 124.4 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearIranNigeria
201490.8303.9
201390.6299.5
201290.3304.4
201189.8301.5
201087301.4
200987.2297.8
200888297.4
200787.9298
200688.2297.2
200587.1295.4
200486.4294.1
200385.9298.4
200287.7295.2
200186.6299.1
200086.5293.9
199985.1290.3
199883.8289.9
199784.3292.5
199682.4290
199581.6289.1
199480.6287.4
199377.7284
199277281.6
199181.9289.1
199083.1290.6
198981.7287.2
198880.4288
198779.8285.6
198680.1289.1
198579.7284.2
198478.8284.4
198375.5281.9
198277.9283.5
198180.2286.4
198079.4282.8
197980.2283
197878.1282.8
197777.8285.9
197677.2281.7
197576.6280.4
197476.4280.7
197376.9284.3
197277.4284.1
197175279.3
197075.3282
196975.6278.7
196876.3279.6
196776.1278.1
196675.5279.4
196575.3279
196475.3276.8
196376.4275.1
196277.5284.1
196177.7281.9
196077.6285.9
195976.8282.8
195878.4281.4
195778.2283.3
195676.2280.8
195576.5280.4
195477.6284.1
195377.3280.4
195278.2280.8
195176.6284.2
195077.7279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIranNigeria
201594.482.7–106301.7282.9–317.3
201694.183.1–105.3301.4280.8–312.5
201793.981.7–104302.5284.3–316.3
201894.183–106.3302.2286.8–316.5
201995.183.4–105.8300.1281.2–318
202095.985.5–107.5303283.7–318.5
202197.286–107.7305.1287.1–318.4
202296.285.2–108.3305.1286–319.5
202398.485.7–110.6305286.4–318.9
20249885.1–110.5310.6295.1–321.5
202598.787.2–110.5307.5292–319.4
202699.186.7–111.7306.9286.1–322.9
2027100.288.7–112.1307.4288–321.7
202899.686.2–111.6310.7293.4–322.6
202999.386.7–109.9311.4293.3–324.4
2030100.889.8–111.6310.6294.1–322.5
2031102.990.1–114.8312.2295–324.8
2032101.289–113.9310290–323.5
2033102.889.9–115.1313292.9–327
2034104.690.7–117.3311.7294.8–325.1
203510592.1–116.2314.5296.7–327.7
2036103.591.4–115.2313.5294.1–326.5
203710693.1–119.4315.6297.9–327.1
2038105.993.2–116.5316.9301.2–329.6
2039104.392.9–116.6315.4299.4–328.2
2040105.592.3–118.4315.6297.9–327.4
2041104.892.5–116.4316.8300.6–330.2
2042107.793.4–120.7316.3300.3–330.3
204310692.9–118.8316298.4–326
2044106.893.6–121.2317.9299.5–329.6
2045108.795.1–121.8316.6300.5–330.4
2046109.296.1–121.9317.8302.2–330.7
2047110.596.9–123.3319.8301.5–333
2048111.498.6–124320.1302.4–331.7
204911095.7–123.4320.7305.3–331.7
2050112.199.6–125.1320.9304–335
2051111.797.6–124.1321304.1–334.2
205211298.3–126320.9303.9–333.5
2053111.597.5–124320.9303.3–334.1
2054111.899–126.3324.5304.5–338.2
2055114.6101.4–128322.2308.4–333.7
2056113.1100.2–126.2324.8305.8–336.3
2057113.899.9–128.9326310.8–337.3
2058114.2100–127.7322.9307.4–334.2
2059113.498.9–126.3325.7308.9–339
2060116.3100.3–129.5323.8307.5–337
2061115100.5–127.6324.4307.1–338.2
2062115.799.7–131.1325.7308–339.3
2063117103.7–130.3326.6308.7–337
2064115.1101.7–130.3326.2311–339.8
2065117.3102.8–132.3327.6313.5–339.4
2066117.7103.7–132.1328.4311.3–339.6
2067119103–133.5326308.4–340.5
2068118.1104.3–131.4329.3311.2–342.9
2069118.4103.8–133.2326.6309.9–338.1
2070118.2104.9–132.9327.4312.6–340.7
2071119.3105.1–135.3329.1313–341.1
2072119103.2–135.1330.3315.9–342.1
2073120.6104.9–137.7326.3309.5–341
2074119.1104.4–134.5326.7311.4–341.4
2075119.7105.9–135.5328.9314.5–341.8
2076118.9102.6–137329.6313.4–342
2077120.3104.3–135.3332.5314.4–343.3
2078119.2105.3–136329.8312.8–342.1
2079120.1103.2–135.6329.6313.8–340.6
2080120.4106.1–139.5331.7314.1–344.8
2081120.5104.3–137.1329.3311.6–343.7
2082122.5107.5–137.7329.3313.3–341.4
2083122.6105.8–140.4330.4315–342.2
2084123.7107.6–139.1330.5311.9–344.2
2085121.3106.6–140.6332.7316.6–343.6
2086122.1107.9–139.8331.9316.3–343.6
2087123.7108–140.7330.7314.9–342.4
2088124106.5–142.2331.7313.2–342.7
2089124.1109–139.7331.1318.3–341.9
2090122.5105.4–141.9332.4312.7–343.9
2091124.3108–140.5333.3311–345.8
2092125.5110.1–140332.7313.8–345.7
2093124.5109–139.3334.2318.6–344.9
2094125108.7–142.9334.2317.3–345.6
2095125.3108.5–141333.8319.3–346.3
2096125.8109–142.4332.5317.4–346.7
2097123.6106.9–141.8331.8312.6–344.6
2098125.8109.4–143.8332.3316–343.7
2099123.1107.8–140.1333316.9–344.2
2100124.4107.9–143.7332.3318.5–345

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

Iran vs Nigeria

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment