Pakistan vs Spain

Pakistan vs Spain: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 16.8 nights in Spain, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 133.1 nights, or 8.9 times that in Spain.

nights a year · CMIP6

Pakistan vs Spain: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 16.8 nights in Spain, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 133.1 nights, or 8.9 times that in Spain.
PakistanSpainCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan 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 Spain at 51.6 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanSpain
2014149.916.8
2013149.117.9
2012149.916.4
201114916.2
2010148.417.5
2009147.116.2
2008147.416.5
2007147.315.3
2006146.717.6
2005146.516.5
2004147.516.4
200314614.5
2002148.314.9
2001145.415.6
2000144.713.8
1999146.913.9
1998144.813.5
1997143.212.7
1996141.212.9
1995141.811.4
1994142.112.1
1993140.411
1992139.99.5
1991142.512.3
1990142.613.1
1989142.511.5
1988140.312.3
198714011.1
19861409.2
19851408.9
1984138.98.9
1983136.39.5
1982138.510
1981141.510.1
1980139.59.6
1979139.110.5
197813911.1
1977138.69.7
1976139.28.3
1975136.58.7
1974138.710
1973137.88.9
1972137.49.6
19711368.4
1970137.78
1969135.99.2
1968136.69
1967135.28.8
1966136.98.1
1965138.37.6
1964135.110.1
1963135.78.7
19621379.5
1961138.69.4
19601399.3
1959138.610.2
1958137.79.7
19571409.5
1956137.810.5
1955137.510.4
1954137.89.8
1953136.99
1952138.110.5
1951136.710.2
1950139.111.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanSpain
2015152.4138.7–163.320.413.3–30.2
2016150.6139.4–161.720.113.2–33.4
2017151.3138.8–16221.313.3–31.1
2018152.6139.8–161.822.815.6–34.2
2019151.8138.1–163.322.714.6–33.6
2020153.1140.3–164.522.314.2–32.8
2021154.1140.6–165.723.114.2–34.2
2022153.1140.2–165.726.515–37.6
2023155.5141.6–165.925.215.5–35.2
2024156.8143.3–168.725.216.8–37
2025155.7141.5–168.624.914–36.5
2026155.3142.2–167.924.814.9–36.8
2027156.8140.9–168.926.817–38.3
2028156.5143.9–167.627.315.8–39.5
2029155.9141.5–167.72816–41.8
2030156.3143.3–167.627.816.8–38
2031157.3144.4–168.12817–39
2032157.4142.5–169.629.720.5–40.3
2033157.7143.6–169.428.920–39.2
2034159.5145.6–173.431.419.3–44.8
2035159.3146.7–170.330.619.2–43.3
2036159.1147.5–171.430.721.4–43.8
2037162.2147.5–175.331.319.8–41.7
2038161.4148.6–171.731.621.5–45
2039160148.2–170.431.723–43.8
2040160.9147.9–171.330.119–46
2041160.8146.7–171.730.419.5–43.3
2042162.3149.9–175.631.521.5–43.1
2043161.1150.3–173.83219.4–47.6
2044163150.9–173.93221.8–45.9
2045163149.5–174.834.122.7–47.8
2046163.5149.8–177.233.921.1–47.3
2047165.2151.8–178.534.322.3–49
2048166.4154.1–179.435.723.1–46
2049165150.8–178.237.324.6–52.2
2050166.9153.5–179.337.425.7–52.7
2051165.6150.8–18036.322.6–51.6
2052166.7155.4–179.538.224.4–51.2
2053166.3154.2–178.836.325.2–51.9
2054167.5153.9–1813623–53
2055167.8155.8–182.539.126.3–52.3
2056166.3153.6–179.738.227–52.8
2057168.3153.9–182.340.526.6–53.5
2058167.5157–179.941.827–54.8
2059170.9155.9–183.839.225.5–55.2
2060170.3156.5–181.841.929.2–55
2061168.8156.8–179.642.629.2–58.6
2062171.6153.5–186.541.429–55.5
2063171.3159.5–183.845.225.2–59.7
2064170.2155.3–184.542.625.1–57.5
2065169.7156.4–18540.825.4–61.7
2066172.2157–186.74228.9–57.3
2067173.2160.2–186.345.531.3–61.4
2068172.6157.7–186.341.528.4–58.9
2069171.8157.3–185.64630–59.7
2070171.7158.9–186.745.430.7–63.3
2071173.4158.7–186.845.931.7–62.2
2072174161.5–186.947.130.2–62.5
2073175.6157.2–187.946.630.5–63.8
2074173.5160–186.343.429.5–61.4
2075173161.5–187.845.529–60.5
2076172.9158.8–186.746.930.2–64.9
2077175161.3–187.846.129.6–63
2078174.4160.9–189.34729.9–67.3
2079172.5158.3–187.743.731.4–63.5
2080175.1160.7–189.246.830–63.9
2081174.9159.2–190.24733.2–65
2082175.4161.8–190.64834.3–63.4
2083176.5161.8–190.849.932.4–65.9
2084176.1160.9–190.549.234.7–65.4
2085176.3161.9–193.65037.5–66
2086173.9160–189.15133.7–67.6
2087176161–193.15236–70.2
2088175.4160.5–195.252.133.4–72.5
2089177.2164.2–191.750.936.8–67.7
2090177.7163.9–192.252.832.7–72.3
2091177.8162.8–192.254.133.4–70
2092178.7162.9–192.951.532.8–66.4
2093177164–19148.734.9–66.7
2094176.8164.1–190.750.331.4–70.1
2095178.6163.8–193.152.733.7–72.2
2096177.8163.7–192.554.134.9–72.5
2097177.3160.4–192.553.136.1–71.9
2098178.7162.6–195.75234.3–70.7
2099176159.9–193.255.737–70.7
2100177.6162.2–19351.634.3–71.2

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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