Brazil vs Nigeria

Brazil vs Nigeria: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 21.9 nights, or 1.08 times that in Brazil.

Watch it change on the map

nights a year · CMIP6

Brazil vs Nigeria: Tropical nightsTropical nights in 2014: 282 nights in Brazil and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 21.9 nights, or 1.08 times that in Brazil.
BrazilNigeriaCMIP6 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 Brazil at 317.3 nights and Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearBrazilNigeria
2014282303.9
2013282.5299.5
2012283.6304.4
2011281.8301.5
2010280.2301.4
2009279.2297.8
2008277.8297.4
2007275.9298
2006275.4297.2
2005275.8295.4
2004278.5294.1
2003276.7298.4
2002276.2295.2
2001277.7299.1
2000273.3293.9
1999271290.3
1998273.6289.9
1997270.9292.5
1996264.7290
1995263.8289.1
1994263.6287.4
1993258.3284
1992252.8281.6
1991269.7289.1
1990272.5290.6
1989267.1287.2
1988264.7288
1987265.9285.6
1986265.7289.1
1985260.6284.2
1984261.1284.4
1983255.9281.9
1982264.8283.5
1981265.3286.4
1980262282.8
1979261.2283
1978259.7282.8
1977261.8285.9
1976258.4281.7
1975252.4280.4
1974258.7280.7
1973261284.3
1972258.1284.1
1971256.5279.3
1970254.5282
1969255.1278.7
1968254.9279.6
1967250.3278.1
1966254.5279.4
1965250.8279
1964246.2276.8
1963241.9275.1
1962257.9284.1
1961258.2281.9
1960260.3285.9
1959255.7282.8
1958258.1281.4
1957256.6283.3
1956251.2280.8
1955257.2280.4
1954258284.1
1953255.2280.4
1952255.8280.8
1951256.3284.2
1950254.4279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilNigeria
2015284257.6–299.5301.7282.9–317.3
2016281.5261.4–296.3301.4280.8–312.5
2017284.1263.2–297.8302.5284.3–316.3
2018283.4263.1–298.8302.2286.8–316.5
2019283.7262.9–302.4300.1281.2–318
2020286.3264.2–303.6303283.7–318.5
2021287.9266.9–302.3305.1287.1–318.4
2022289.6270.7–303.9305.1286–319.5
2023287.3270.5–303305286.4–318.9
2024291.5268.2–304.6310.6295.1–321.5
2025289.6269.1–304.8307.5292–319.4
2026289.7266.2–305.1306.9286.1–322.9
2027289.5269.1–303.7307.4288–321.7
2028291.2271.9–306310.7293.4–322.6
2029295.5276.3–309.6311.4293.3–324.4
2030292.2269.1–306.9310.6294.1–322.5
2031295.3274–308.9312.2295–324.8
2032296.8280.1–310.9310290–323.5
2033295.4273.3–308.5313292.9–327
2034294.3273.5–311.8311.7294.8–325.1
2035295.2274.4–310.9314.5296.7–327.7
2036295.1278.2–307.8313.5294.1–326.5
2037299.9283.7–311.3315.6297.9–327.1
2038299.6283.5–312.1316.9301.2–329.6
2039296.9279.9–311315.4299.4–328.2
2040298.5279.4–311.9315.6297.9–327.4
2041301.4282.2–314.1316.8300.6–330.2
2042300.6277.8–314.7316.3300.3–330.3
2043298.2279.8–312.7316298.4–326
2044300.3281.2–315.6317.9299.5–329.6
2045299.9279.7–313.1316.6300.5–330.4
2046302.8285.8–316.6317.8302.2–330.7
2047303.3285–316.4319.8301.5–333
2048304.4287.3–317.3320.1302.4–331.7
2049305.4288.4–318.5320.7305.3–331.7
2050303.9283.9–316.2320.9304–335
2051305.7287.5–317.5321304.1–334.2
2052305.9290.6–318.8320.9303.9–333.5
2053305.3285.9–317.5320.9303.3–334.1
2054306.1288.4–319.3324.5304.5–338.2
2055306.4290.8–319.8322.2308.4–333.7
2056306.7288.3–321.1324.8305.8–336.3
2057306.4287.6–321.1326310.8–337.3
2058309291–321.4322.9307.4–334.2
2059310.4290.7–322.8325.7308.9–339
2060311.6294.4–325.1323.8307.5–337
2061307.5290.3–321.2324.4307.1–338.2
2062309291.5–322.8325.7308–339.3
2063310.8290.6–322.8326.6308.7–337
2064309.6290.2–321.1326.2311–339.8
2065311.1291.6–323.1327.6313.5–339.4
2066312.2294.2–324.2328.4311.3–339.6
2067310.9291.5–323.3326308.4–340.5
2068311.5293–324.5329.3311.2–342.9
2069310.6292.2–323.6326.6309.9–338.1
2070312.7293–325.3327.4312.6–340.7
2071311.5292.1–323.9329.1313–341.1
2072313.3297.8–325.5330.3315.9–342.1
2073313.8298.6–327.2326.3309.5–341
2074311.4292.4–323.5326.7311.4–341.4
2075310.9291.5–324.5328.9314.5–341.8
2076314.2294.4–327.7329.6313.4–342
2077315.1295.6–326.8332.5314.4–343.3
2078314.9296.3–327.1329.8312.8–342.1
2079313292.8–326.8329.6313.8–340.6
2080311.9294.7–325.4331.7314.1–344.8
2081313.5295.5–325.6329.3311.6–343.7
2082315296.8–327.1329.3313.3–341.4
2083315.7295.3–328.7330.4315–342.2
2084316.6298.5–327.9330.5311.9–344.2
2085317.4299.3–329.8332.7316.6–343.6
2086315.8294–328331.9316.3–343.6
2087316.5297.9–328.5330.7314.9–342.4
2088315.6297.3–328.8331.7313.2–342.7
2089315296.6–327.9331.1318.3–341.9
2090316298.9–330.3332.4312.7–343.9
2091317298.1–330.6333.3311–345.8
2092317.6298.7–330.7332.7313.8–345.7
2093316.3297.5–328.6334.2318.6–344.9
2094316.4300.2–327.5334.2317.3–345.6
2095319299.8–330.7333.8319.3–346.3
2096317.7299.5–330.8332.5317.4–346.7
2097316.9297.8–329331.8312.6–344.6
2098318.6299.9–331.9332.3316–343.7
2099318.1300–330.2333316.9–344.2
2100317.3298.4–330.3332.3318.5–345

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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