Pakistan vs Syria

Pakistan vs Syria: Days above 35 °C

Days above 35 °C in 2014: 118.6 days in Pakistan and 77.6 days in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 41 days, or 1.53 times that in Syria.

days a year · CMIP6

Pakistan vs Syria: Days above 35 °CDays above 35 °C in 2014: 118.6 days in Pakistan and 77.6 days in Syria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 41 days, or 1.53 times that in Syria.
PakistanSyriaCMIP6 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 147.6 days and Syria at 117.9 days in 2100.

Every year

days a year · CMIP6

YearPakistanSyria
2014118.677.6
2013117.574.8
2012117.576
201111874.8
2010114.375
2009115.373
2008115.474.9
2007112.571.1
2006112.973
2005114.972.8
2004116.172.6
2003114.674.8
2002115.969.9
2001114.473.3
2000114.670.4
1999114.270.1
1998111.768.8
199711267
1996108.366.7
199511064.4
1994108.662.6
1993107.259.4
1992105.258
1991110.662.4
1990110.767.5
1989110.965.3
1988109.863.6
1987108.361
1986108.765.1
1985105.659.8
198410858.6
1983104.755.7
198210859.7
1981109.561.8
1980109.763.5
1979108.757.3
1978108.658.4
1977106.558.8
1976108.262.1
197510555.6
1974108.859
197310858.6
1972104.560.3
1971106.260.1
1970106.560.9
1969105.860.9
1968104.458.1
1967106.457.6
1966106.457.4
196510655.8
196410355.9
1963104.358.3
1962106.759.5
1961108.761.1
1960108.760.9
1959110.461.6
1958108.561.9
1957110.762.9
1956108.861.3
1955108.358.3
195410758.7
1953107.662
1952108.961.5
1951108.163.3
1950110.559.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanSyria
2015122100.8–136.681.668.2–95.6
2016119.5104.9–13279.368.4–97.9
2017119.999.5–134.38368.3–94.2
2018119.7103–133.88469.7–97.7
2019118.997.2–133.88673–95.9
2020122.8105–136.38469.3–99.4
2021122.9103.2–138.285.372.2–96.2
2022120.7101.9–136.486.571–98.2
2023123.3104.8–138.888.576.4–101
2024124.4105.4–139.190.378–101.5
2025123.8102.8–139.189.170.7–102.4
2026122.5101.9–141.887.971.8–100.7
2027124.4101.5–14190.575.7–102
2028124.8103.6–140.289.175.9–103.8
2029126.499.2–141.69078.6–104
2030122.5103.5–140.190.477.7–104.4
2031122.7105.6–139.988.677.8–102.7
2032126104–143.99477.4–106.1
2033125.9106.6–144.195.579.3–106.3
2034130.9113.2–147.893.979.7–108
2035127.1107.6–143.69583–104.6
2036125.5108.3–143.491.177.5–105.2
2037130.7112.4–147.994.978.3–107.6
2038130.9108.6–144.997.379.4–111.2
2039128.6110.2–144.998.182.9–115.3
2040133.2115.1–146.197.985.1–111.3
2041127.2108.3–143.596.584.7–109.2
2042134.6112.8–150.798.877.8–110.2
2043131.6112.5–149.399.785.9–112.7
2044128.2108.1–145.998.585–114.7
2045133.4116.7–148.7103.692.5–115.5
2046133.8109–151.1101.389.1–114.4
2047134.6110–150.9100.786.8–117.8
2048136117.1–152.3101.485.4–115.8
2049133.3115.2–152.5100.982.6–116.6
2050138.4119.4–157.4102.588–117.1
2051138115.5–158.2103.191.6–114.5
2052138.3120.3–155.3100.388–112.1
2053137.4117.7–155.810390.8–117.1
2054137116–152.4103.182–121.3
2055139.6120–157.2105.790–119.1
2056135.8117.3–154.1101.787.7–117.2
2057141.5119.5–158.8105.190.4–121.4
2058137.1114.3–154.7105.488.3–122.7
2059141.4122.6–156.6106.787.8–122.4
2060142.5124.1–158.6105.592.3–122.3
2061142.3123.2–157.4109.790.9–122.3
2062141.3118.8–161.2107.786.7–124.6
2063143.1125.6–160.6107.692.2–124.2
2064140.7119.8–163.5110.291.7–123.3
2065141.1121.5–159.3108.295.2–122.1
2066143.8122.5–163.4105.388.6–121.8
2067144.2125.9–162.3109.795.4–127.6
2068143.2126–162.2111.395.4–126
2069144.7119.8–163.2107.594–120.1
2070143.7126.5–163113.395.9–123.2
2071145.5121.8–164.4109.495.7–126.5
2072147.1125.5–165.1112.698.1–127
2073149.2122.1–164.711393.2–127.9
2074145.8126.7–162.2109.592.9–123.7
2075145.1126.2–160.5111.795.5–125.4
2076145.7126.4–165.9112.294–126.5
2077146.1126.2–164.4110.895.6–128
2078146.5121.4–164.4112100–127.9
2079144.6122.7–161117.9100.2–129.8
2080148.2123.7–166.4116.8101.5–128.9
2081145.8122.2–167112.597.1–132
2082146123.3–168.811596.5–130.3
2083148.3127–167.4115.894.1–131.2
2084150.5128.5–167.6117.696.5–129.2
2085149.9126.1–170.8114.695.2–129.1
2086146.3124.2–165114.3100–129.2
2087149.9124.3–167.3113.497.9–129.4
2088149.3127.9–169.7118.1101–132.7
2089148.9129.6–166.7117.199–132.8
2090150.3131.5–166.7116.4101.5–129.4
2091151.1128.4–168.7117100.2–135.8
2092150.5129.8–170.2116100.5–134.1
2093151.6131.8–167.9119.9102.9–137.9
2094151.5130.4–168.6117.4104.3–133.7
2095152.5130.6–169.2117100.8–133.2
2096150.8124.2–169115.1100.9–129.7
2097149.4130.3–167.5121.498.4–136.9
2098151.7125.4–168.2117.397.7–133
2099151.6124.4–170.6117.9102.9–129.7
2100147.6125.2–167.5117.998.2–137.3

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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