Pakistan vs Sudan

Pakistan vs Sudan: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 92.5 nights, or 1.62 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

Pakistan vs Sudan: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 242.4 nights in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 92.5 nights, or 1.62 times that in Pakistan.
PakistanSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Pakistan at 177.6 nights and Sudan at 278.6 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanSudan
2014149.9242.4
2013149.1240
2012149.9242
2011149242.2
2010148.4240.6
2009147.1236.5
2008147.4237.1
2007147.3236
2006146.7235.3
2005146.5233.1
2004147.5233.5
2003146235.6
2002148.3234.7
2001145.4235.4
2000144.7230.5
1999146.9232.1
1998144.8230.2
1997143.2231.1
1996141.2227.3
1995141.8227.8
1994142.1225.3
1993140.4219.1
1992139.9217.8
1991142.5227.3
1990142.6227.5
1989142.5223
1988140.3223.1
1987140224.4
1986140226.4
1985140222.1
1984138.9220.7
1983136.3217
1982138.5216.3
1981141.5223.2
1980139.5220
1979139.1218.4
1978139218.5
1977138.6219.3
1976139.2220.1
1975136.5215.7
1974138.7217.5
1973137.8220
1972137.4217.9
1971136215.5
1970137.7217
1969135.9213.1
1968136.6214
1967135.2210.3
1966136.9213.3
1965138.3213.4
1964135.1213.2
1963135.7210.1
1962137217
1961138.6216.9
1960139221.3
1959138.6217.8
1958137.7216.2
1957140218.9
1956137.8217.2
1955137.5216.6
1954137.8218.9
1953136.9215.1
1952138.1216.4
1951136.7218.5
1950139.1214.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanSudan
2015152.4138.7–163.3242.3225.3–258.3
2016150.6139.4–161.7241.4223.3–254.1
2017151.3138.8–162243.2223–259.1
2018152.6139.8–161.8242.3226.4–258.5
2019151.8138.1–163.3243.1221.7–260.4
2020153.1140.3–164.5244.9225.9–261.7
2021154.1140.6–165.7245.6229.1–261.5
2022153.1140.2–165.7249230.9–262.3
2023155.5141.6–165.9247.1226.8–263.1
2024156.8143.3–168.7251.5232.8–266.1
2025155.7141.5–168.6250.7232.4–265.6
2026155.3142.2–167.9250230.8–266.6
2027156.8140.9–168.9248.8228.4–265.6
2028156.5143.9–167.6249232.2–263.1
2029155.9141.5–167.7251.4232.1–266
2030156.3143.3–167.6252235.4–266.7
2031157.3144.4–168.1253.3234.4–268.9
2032157.4142.5–169.6250.4232.3–266.6
2033157.7143.6–169.4254.4235.3–269.4
2034159.5145.6–173.4254.2234.5–269.9
2035159.3146.7–170.3258.3240.2–273.6
2036159.1147.5–171.4252.8235.6–268.6
2037162.2147.5–175.3256.7238.6–271.8
2038161.4148.6–171.7258.7244.8–272.1
2039160148.2–170.4259.5241.2–272.5
2040160.9147.9–171.3256.4236.7–272.3
2041160.8146.7–171.7259.1241.2–274.5
2042162.3149.9–175.6258.7242–274.7
2043161.1150.3–173.8258.1240.3–272.6
2044163150.9–173.9257.3238.6–274.7
2045163149.5–174.8258.8243.1–276.2
2046163.5149.8–177.2261.1241.7–277.6
2047165.2151.8–178.5261.4244.6–278.4
2048166.4154.1–179.4260.4243.4–279.5
2049165150.8–178.2261.9242.6–275.9
2050166.9153.5–179.3263.5245.4–279
2051165.6150.8–180263.6246.6–278.8
2052166.7155.4–179.5263.8248.7–278.3
2053166.3154.2–178.8262.8242.4–279.2
2054167.5153.9–181266.3246.6–282.9
2055167.8155.8–182.5265.6245.9–281.4
2056166.3153.6–179.7264.1242.6–281.5
2057168.3153.9–182.3266.4247.6–283.4
2058167.5157–179.9265.2247.4–280.3
2059170.9155.9–183.8268.4249.6–285.4
2060170.3156.5–181.8263.6246.7–284.4
2061168.8156.8–179.6266.9250.1–281.9
2062171.6153.5–186.5266.4248.5–285
2063171.3159.5–183.8267.1246.9–283.4
2064170.2155.3–184.5269250.7–284.7
2065169.7156.4–185269.8253.9–285.6
2066172.2157–186.7271.4251.9–287.3
2067173.2160.2–186.3270.9250–288.4
2068172.6157.7–186.3271.9251.7–289.8
2069171.8157.3–185.6268251.1–286.2
2070171.7158.9–186.7269252.3–285.8
2071173.4158.7–186.8275.5254.1–290.4
2072174161.5–186.9273.3254.2–289.4
2073175.6157.2–187.9271.9250.7–287.6
2074173.5160–186.3270.9249–290.1
2075173161.5–187.8273.1254–291.9
2076172.9158.8–186.7272.7255.2–290.9
2077175161.3–187.8274.6255.2–292.7
2078174.4160.9–189.3274.3255.6–291.2
2079172.5158.3–187.7272255.2–288.5
2080175.1160.7–189.2276.6256–292.2
2081174.9159.2–190.2275.1254.1–294.8
2082175.4161.8–190.6272.9258.7–288.6
2083176.5161.8–190.8276.5258–291.7
2084176.1160.9–190.5275.4253–294.9
2085176.3161.9–193.6275.3258.6–291.6
2086173.9160–189.1276.4256.9–296.6
2087176161–193.1273.5253.1–293.3
2088175.4160.5–195.2273.6253.7–293.6
2089177.2164.2–191.7276.5256.6–293.4
2090177.7163.9–192.2276.6256.4–294.6
2091177.8162.8–192.2277.4256.4–296.6
2092178.7162.9–192.9274.6254.3–294.9
2093177164–191278261.9–292.1
2094176.8164.1–190.7280.3262.2–294
2095178.6163.8–193.1277.5262.6–294
2096177.8163.7–192.5279.7258.7–297
2097177.3160.4–192.5276.3254.1–297.6
2098178.7162.6–195.7277.7258.2–295.5
2099176159.9–193.2276.8257.2–296.2
2100177.6162.2–193278.6259–294.3

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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