Nigeria vs Vietnam

Nigeria vs Vietnam: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 61.3 nights, or 1.25 times that in Vietnam.

Watch it change on the map

nights a year · CMIP6

Nigeria vs Vietnam: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 61.3 nights, or 1.25 times that in Vietnam.
NigeriaVietnamCMIP6 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 Nigeria at 332.3 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaVietnam
2014303.9242.6
2013299.5243.6
2012304.4242.4
2011301.5241.9
2010301.4240.9
2009297.8240
2008297.4238.7
2007298238
2006297.2239.1
2005295.4238.3
2004294.1241.8
2003298.4235.9
2002295.2236.3
2001299.1241.3
2000293.9237
1999290.3236
1998289.9236.8
1997292.5237.1
1996290231.4
1995289.1229.9
1994287.4231.2
1993284225.3
1992281.6221.9
1991289.1229.8
1990290.6233.1
1989287.2229.2
1988288231.7
1987285.6230.3
1986289.1230.9
1985284.2228
1984284.4230.2
1983281.9224.9
1982283.5227.5
1981286.4229.7
1980282.8228.1
1979283228.9
1978282.8227.5
1977285.9229
1976281.7225.8
1975280.4225.8
1974280.7225.7
1973284.3230.3
1972284.1225.6
1971279.3225.5
1970282226.1
1969278.7227
1968279.6227.1
1967278.1222.9
1966279.4226.8
1965279225.4
1964276.8222.6
1963275.1224.3
1962284.1227.8
1961281.9229.4
1960285.9228.5
1959282.8226.2
1958281.4230.9
1957283.3228.4
1956280.8228.7
1955280.4227.5
1954284.1226.3
1953280.4228.2
1952280.8228.5
1951284.2229.2
1950279.3228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaVietnam
2015301.7282.9–317.3245.8228.2–261.9
2016301.4280.8–312.5243.7226.1–259.4
2017302.5284.3–316.3247229.6–260.7
2018302.2286.8–316.5248.3228.8–263.3
2019300.1281.2–318248.1229.2–262.8
2020303283.7–318.5248.8229.6–262.9
2021305.1287.1–318.4251.1233.1–266.7
2022305.1286–319.5252.4234.3–266.8
2023305286.4–318.9253.4235.4–266.6
2024310.6295.1–321.5251.3236.7–264.6
2025307.5292–319.4252.4234.1–266.2
2026306.9286.1–322.9252.8232.9–268.5
2027307.4288–321.7253.2237–268.8
2028310.7293.4–322.6254.3237.7–272
2029311.4293.3–324.4258.1238.5–273.7
2030310.6294.1–322.5256.4240.9–270.1
2031312.2295–324.8255.9241.2–270.9
2032310290–323.5257.4239.1–269.9
2033313292.9–327258.3241.7–273.2
2034311.7294.8–325.1258.8240.7–275.8
2035314.5296.7–327.7258.6242.5–275.4
2036313.5294.1–326.5258.3239.1–273.8
2037315.6297.9–327.1258.7242.4–272.4
2038316.9301.2–329.6263.4247.6–277.3
2039315.4299.4–328.2260.2243.7–275.9
2040315.6297.9–327.4260.1242.8–274.8
2041316.8300.6–330.2263.1245.9–279
2042316.3300.3–330.3263.6246.5–279
2043316298.4–326261.4245.5–279.6
2044317.9299.5–329.6263.2245.2–277.6
2045316.6300.5–330.4265.5249.6–281.4
2046317.8302.2–330.7264.9246.8–278.1
2047319.8301.5–333266.9250.4–282.9
2048320.1302.4–331.7268250.5–283.8
2049320.7305.3–331.7267.8251.2–284.8
2050320.9304–335268251.2–283.5
2051321304.1–334.2270.9254.3–285.4
2052320.9303.9–333.5268.3253.3–282.8
2053320.9303.3–334.1268.5250.1–283.2
2054324.5304.5–338.2269.1250.8–283.6
2055322.2308.4–333.7270249.8–284.2
2056324.8305.8–336.3271.7254.8–290.1
2057326310.8–337.3270253–285.7
2058322.9307.4–334.2270.7252.9–286.5
2059325.7308.9–339273257.6–286.6
2060323.8307.5–337275.7255.6–290.6
2061324.4307.1–338.2273.5254.6–289.5
2062325.7308–339.3271.4253.1–290.2
2063326.6308.7–337272.9252.7–288.1
2064326.2311–339.8273.8254.4–288.1
2065327.6313.5–339.4272255.8–286.3
2066328.4311.3–339.6271.8254.4–287.3
2067326308.4–340.5270.8252.1–287.6
2068329.3311.2–342.9275.6256.9–292.4
2069326.6309.9–338.1276.4258.5–292
2070327.4312.6–340.7274.6257.8–292.8
2071329.1313–341.1276.2255.2–294.1
2072330.3315.9–342.1277256.8–291.4
2073326.3309.5–341278.5262.7–293.4
2074326.7311.4–341.4277.6259.2–295.8
2075328.9314.5–341.8276.4258.7–294.4
2076329.6313.4–342279.2258.5–296.6
2077332.5314.4–343.3280264.9–294.7
2078329.8312.8–342.1278.4258.6–295.5
2079329.6313.8–340.6279.3263.4–293.6
2080331.7314.1–344.8280261.4–296.5
2081329.3311.6–343.7280.4261.2–297.9
2082329.3313.3–341.4280.9258.9–296
2083330.4315–342.2278.4261.6–295
2084330.5311.9–344.2279257.4–293.8
2085332.7316.6–343.6281.3265–297.8
2086331.9316.3–343.6282.3260.2–297.5
2087330.7314.9–342.4281.9261.3–300.7
2088331.7313.2–342.7283.1265.7–301.5
2089331.1318.3–341.9280.8261.2–301.6
2090332.4312.7–343.9280.5264.5–297.6
2091333.3311–345.8283.3264.3–298.9
2092332.7313.8–345.7281.1261.5–299.4
2093334.2318.6–344.9280.5263.4–296.1
2094334.2317.3–345.6283264.5–300
2095333.8319.3–346.3285.5264.5–302.9
2096332.5317.4–346.7281.8264.8–299.8
2097331.8312.6–344.6281.5263.3–299
2098332.3316–343.7282.5263.9–301.5
2099333316.9–344.2282.7265.1–298
2100332.3318.5–345282.7261–298.2

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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