Nigeria vs Pakistan

Nigeria vs Pakistan: Tropical nights

Tropical nights in 2014: 303.9 nights in Nigeria and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 154 nights, or 2.03 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

Nigeria vs Pakistan: Tropical nightsTropical nights in 2014: 303.9 nights in Nigeria and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 154 nights, or 2.03 times that in Pakistan.
NigeriaPakistanCMIP6 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearNigeriaPakistan
2014303.9149.9
2013299.5149.1
2012304.4149.9
2011301.5149
2010301.4148.4
2009297.8147.1
2008297.4147.4
2007298147.3
2006297.2146.7
2005295.4146.5
2004294.1147.5
2003298.4146
2002295.2148.3
2001299.1145.4
2000293.9144.7
1999290.3146.9
1998289.9144.8
1997292.5143.2
1996290141.2
1995289.1141.8
1994287.4142.1
1993284140.4
1992281.6139.9
1991289.1142.5
1990290.6142.6
1989287.2142.5
1988288140.3
1987285.6140
1986289.1140
1985284.2140
1984284.4138.9
1983281.9136.3
1982283.5138.5
1981286.4141.5
1980282.8139.5
1979283139.1
1978282.8139
1977285.9138.6
1976281.7139.2
1975280.4136.5
1974280.7138.7
1973284.3137.8
1972284.1137.4
1971279.3136
1970282137.7
1969278.7135.9
1968279.6136.6
1967278.1135.2
1966279.4136.9
1965279138.3
1964276.8135.1
1963275.1135.7
1962284.1137
1961281.9138.6
1960285.9139
1959282.8138.6
1958281.4137.7
1957283.3140
1956280.8137.8
1955280.4137.5
1954284.1137.8
1953280.4136.9
1952280.8138.1
1951284.2136.7
1950279.3139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearNigeriaPakistan
2015301.7282.9–317.3152.4138.7–163.3
2016301.4280.8–312.5150.6139.4–161.7
2017302.5284.3–316.3151.3138.8–162
2018302.2286.8–316.5152.6139.8–161.8
2019300.1281.2–318151.8138.1–163.3
2020303283.7–318.5153.1140.3–164.5
2021305.1287.1–318.4154.1140.6–165.7
2022305.1286–319.5153.1140.2–165.7
2023305286.4–318.9155.5141.6–165.9
2024310.6295.1–321.5156.8143.3–168.7
2025307.5292–319.4155.7141.5–168.6
2026306.9286.1–322.9155.3142.2–167.9
2027307.4288–321.7156.8140.9–168.9
2028310.7293.4–322.6156.5143.9–167.6
2029311.4293.3–324.4155.9141.5–167.7
2030310.6294.1–322.5156.3143.3–167.6
2031312.2295–324.8157.3144.4–168.1
2032310290–323.5157.4142.5–169.6
2033313292.9–327157.7143.6–169.4
2034311.7294.8–325.1159.5145.6–173.4
2035314.5296.7–327.7159.3146.7–170.3
2036313.5294.1–326.5159.1147.5–171.4
2037315.6297.9–327.1162.2147.5–175.3
2038316.9301.2–329.6161.4148.6–171.7
2039315.4299.4–328.2160148.2–170.4
2040315.6297.9–327.4160.9147.9–171.3
2041316.8300.6–330.2160.8146.7–171.7
2042316.3300.3–330.3162.3149.9–175.6
2043316298.4–326161.1150.3–173.8
2044317.9299.5–329.6163150.9–173.9
2045316.6300.5–330.4163149.5–174.8
2046317.8302.2–330.7163.5149.8–177.2
2047319.8301.5–333165.2151.8–178.5
2048320.1302.4–331.7166.4154.1–179.4
2049320.7305.3–331.7165150.8–178.2
2050320.9304–335166.9153.5–179.3
2051321304.1–334.2165.6150.8–180
2052320.9303.9–333.5166.7155.4–179.5
2053320.9303.3–334.1166.3154.2–178.8
2054324.5304.5–338.2167.5153.9–181
2055322.2308.4–333.7167.8155.8–182.5
2056324.8305.8–336.3166.3153.6–179.7
2057326310.8–337.3168.3153.9–182.3
2058322.9307.4–334.2167.5157–179.9
2059325.7308.9–339170.9155.9–183.8
2060323.8307.5–337170.3156.5–181.8
2061324.4307.1–338.2168.8156.8–179.6
2062325.7308–339.3171.6153.5–186.5
2063326.6308.7–337171.3159.5–183.8
2064326.2311–339.8170.2155.3–184.5
2065327.6313.5–339.4169.7156.4–185
2066328.4311.3–339.6172.2157–186.7
2067326308.4–340.5173.2160.2–186.3
2068329.3311.2–342.9172.6157.7–186.3
2069326.6309.9–338.1171.8157.3–185.6
2070327.4312.6–340.7171.7158.9–186.7
2071329.1313–341.1173.4158.7–186.8
2072330.3315.9–342.1174161.5–186.9
2073326.3309.5–341175.6157.2–187.9
2074326.7311.4–341.4173.5160–186.3
2075328.9314.5–341.8173161.5–187.8
2076329.6313.4–342172.9158.8–186.7
2077332.5314.4–343.3175161.3–187.8
2078329.8312.8–342.1174.4160.9–189.3
2079329.6313.8–340.6172.5158.3–187.7
2080331.7314.1–344.8175.1160.7–189.2
2081329.3311.6–343.7174.9159.2–190.2
2082329.3313.3–341.4175.4161.8–190.6
2083330.4315–342.2176.5161.8–190.8
2084330.5311.9–344.2176.1160.9–190.5
2085332.7316.6–343.6176.3161.9–193.6
2086331.9316.3–343.6173.9160–189.1
2087330.7314.9–342.4176161–193.1
2088331.7313.2–342.7175.4160.5–195.2
2089331.1318.3–341.9177.2164.2–191.7
2090332.4312.7–343.9177.7163.9–192.2
2091333.3311–345.8177.8162.8–192.2
2092332.7313.8–345.7178.7162.9–192.9
2093334.2318.6–344.9177164–191
2094334.2317.3–345.6176.8164.1–190.7
2095333.8319.3–346.3178.6163.8–193.1
2096332.5317.4–346.7177.8163.7–192.5
2097331.8312.6–344.6177.3160.4–192.5
2098332.3316–343.7178.7162.6–195.7
2099333316.9–344.2176159.9–193.2
2100332.3318.5–345177.6162.2–193

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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