Pakistan vs Türkiye

Pakistan vs Türkiye: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 130.1 nights, or 7.56 times that in Türkiye.

nights a year · CMIP6

Pakistan vs Türkiye: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 130.1 nights, or 7.56 times that in Türkiye.
PakistanTürkiyeCMIP6 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 Türkiye at 45.5 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanTürkiye
2014149.919.8
2013149.118.5
2012149.918.7
201114918.5
2010148.418.7
2009147.117.6
2008147.418.2
2007147.316.6
2006146.717.7
2005146.517.2
2004147.517.1
200314617.6
2002148.316.8
2001145.417.3
2000144.716.4
1999146.915.9
1998144.814.7
1997143.215
1996141.214.8
1995141.814.1
1994142.113.5
1993140.412.1
1992139.911.5
1991142.513.4
1990142.614.6
1989142.513.1
1988140.312.9
198714012.5
198614013.3
198514012.4
1984138.911.9
1983136.310.7
1982138.512.4
1981141.512.2
1980139.512.4
1979139.112
197813911.5
1977138.611.2
1976139.212
1975136.511.5
1974138.711.8
1973137.811.6
1972137.411.5
197113612.1
1970137.711.6
1969135.912
1968136.612
1967135.211.3
1966136.911.5
1965138.310.8
1964135.111.2
1963135.712
196213711.8
1961138.612
196013912.9
1959138.612.6
1958137.713
195714012.2
1956137.812.7
1955137.511.9
1954137.811.9
1953136.912.9
1952138.112.1
1951136.712.5
1950139.112.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanTürkiye
2015152.4138.7–163.322.216.2–29.8
2016150.6139.4–161.721.114.7–29.6
2017151.3138.8–16221.914.3–29.4
2018152.6139.8–161.822.916–29.9
2019151.8138.1–163.321.916.4–29.5
2020153.1140.3–164.523.617–31.6
2021154.1140.6–165.72317.1–30.9
2022153.1140.2–165.723.617.3–31.6
2023155.5141.6–165.924.717.8–33.4
2024156.8143.3–168.725.418.6–34.1
2025155.7141.5–168.62518.1–33
2026155.3142.2–167.925.618.3–34.1
2027156.8140.9–168.924.816.9–34.8
2028156.5143.9–167.625.218.7–32
2029155.9141.5–167.726.219.8–34.4
2030156.3143.3–167.625.919.3–34.5
2031157.3144.4–168.126.419.7–35.1
2032157.4142.5–169.627.219.9–35.6
2033157.7143.6–169.428.721.4–36.9
2034159.5145.6–173.427.620.8–34.7
2035159.3146.7–170.328.721.7–37
2036159.1147.5–171.428.720.9–38.1
2037162.2147.5–175.329.721.3–38.6
2038161.4148.6–171.729.922–41.6
2039160148.2–170.430.923.6–40.3
2040160.9147.9–171.330.923.2–40.9
2041160.8146.7–171.730.122.2–40.5
2042162.3149.9–175.629.920.1–40.7
2043161.1150.3–173.83123.6–40.4
2044163150.9–173.930.823.1–43.5
2045163149.5–174.832.424–43.1
2046163.5149.8–177.232.923.5–42.8
2047165.2151.8–178.532.324.1–44.9
2048166.4154.1–179.434.123–45.9
2049165150.8–178.231.622.1–43.2
2050166.9153.5–179.333.423.8–44.2
2051165.6150.8–18034.125–43.1
2052166.7155.4–179.533.325.3–42.6
2053166.3154.2–178.835.326.6–44.2
2054167.5153.9–18134.624–44.1
2055167.8155.8–182.535.425.9–47.7
2056166.3153.6–179.734.424.1–45.6
2057168.3153.9–182.336.326–47.4
2058167.5157–179.936.425.8–51.8
2059170.9155.9–183.837.124.8–48.1
2060170.3156.5–181.835.826.7–48.3
2061168.8156.8–179.638.826.3–49.7
2062171.6153.5–186.537.725.3–49.5
2063171.3159.5–183.838.426.6–51.7
2064170.2155.3–184.538.928.4–49.9
2065169.7156.4–18539.628.6–49.4
2066172.2157–186.736.325–49.1
2067173.2160.2–186.338.327.7–50.7
2068172.6157.7–186.339.928–50.7
2069171.8157.3–185.639.729.2–52.2
2070171.7158.9–186.739.527.6–51.7
2071173.4158.7–186.839.829.1–51.7
2072174161.5–186.941.928.9–54.2
2073175.6157.2–187.940.927.2–54.6
2074173.5160–186.339.428–51.9
2075173161.5–187.839.828.4–53.9
2076172.9158.8–186.741.529.1–53.7
2077175161.3–187.841.329–53.3
2078174.4160.9–189.342.231.3–52.9
2079172.5158.3–187.74430.8–56.6
2080175.1160.7–189.243.432.5–54.9
2081174.9159.2–190.242.131.7–54.6
2082175.4161.8–190.643.630.9–56
2083176.5161.8–190.84629.6–57.6
2084176.1160.9–190.545.131–56.8
2085176.3161.9–193.643.330.3–54.5
2086173.9160–189.143.830.2–56.4
2087176161–193.144.229.2–59
2088175.4160.5–195.244.932.7–58.1
2089177.2164.2–191.744.630.7–59.3
2090177.7163.9–192.246.132.8–59.2
2091177.8162.8–192.245.332.2–61.2
2092178.7162.9–192.945.631.1–59.2
2093177164–19147.631.5–61.8
2094176.8164.1–190.747.533.7–61.2
2095178.6163.8–193.146.232.3–60.2
2096177.8163.7–192.545.731.1–60.7
2097177.3160.4–192.548.432.1–61
2098178.7162.6–195.746.431.2–59.5
2099176159.9–193.245.430.8–58
2100177.6162.2–19345.530.4–60.1

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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