Pakistan vs Thailand

Pakistan vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 118.6 days in Pakistan and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 78.7 days, or 2.97 times that in Thailand.

days a year · CMIP6

Pakistan vs Thailand: Days above 35 °CDays above 35 °C in 2014: 118.6 days in Pakistan and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 78.7 days, or 2.97 times that in Thailand.
PakistanThailandCMIP6 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 Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearPakistanThailand
2014118.639.9
2013117.542.1
2012117.540.1
201111839.9
2010114.339.8
2009115.337.9
2008115.436
2007112.533
2006112.939.2
2005114.934.9
2004116.139.4
2003114.634.1
2002115.936.3
2001114.437.8
2000114.632.5
1999114.229.7
1998111.733.3
199711233.7
1996108.331.3
199511033.5
1994108.633.5
1993107.230.4
1992105.225.5
1991110.635.4
1990110.737.7
1989110.929.3
1988109.830.6
1987108.331.2
1986108.734.3
1985105.629.3
198410832.4
1983104.730.4
198210833.1
1981109.529.5
1980109.728.8
1979108.732.4
1978108.626.1
1977106.531.5
1976108.229.7
197510525
1974108.831.5
197310834.5
1972104.530.3
1971106.227.1
1970106.528.7
1969105.829.9
1968104.429.4
1967106.428.3
1966106.425.4
196510627.1
196410326.6
1963104.326
1962106.728.7
1961108.731.1
1960108.732.9
1959110.424.4
1958108.533
1957110.727.8
1956108.827.1
1955108.331.2
195410730.3
1953107.628.2
1952108.934.1
1951108.133
1950110.528.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanThailand
2015122100.8–136.641.123.5–66.3
2016119.5104.9–13238.915.7–61.2
2017119.999.5–134.341.420.8–64.9
2018119.7103–133.843.521.7–65.5
2019118.997.2–133.840.916.5–61.9
2020122.8105–136.345.617.3–66.6
2021122.9103.2–138.243.720.7–70.7
2022120.7101.9–136.447.826.4–73.3
2023123.3104.8–138.841.822.3–67.2
2024124.4105.4–139.144.726.9–70.9
2025123.8102.8–139.150.227.3–77
2026122.5101.9–141.844.425.2–80.5
2027124.4101.5–14147.126.2–75.6
2028124.8103.6–140.251.123.1–73.3
2029126.499.2–141.656.733.9–84.7
2030122.5103.5–140.150.726.1–78.9
2031122.7105.6–139.950.531.5–81.2
2032126104–143.949.823.6–85.7
2033125.9106.6–144.153.432–73.7
2034130.9113.2–147.851.531.6–83.4
2035127.1107.6–143.652.228.9–89.2
2036125.5108.3–143.453.335.2–77.4
2037130.7112.4–147.957.632–82.5
2038130.9108.6–144.962.238.5–91.5
2039128.6110.2–144.955.127.8–78.8
2040133.2115.1–146.153.728.4–91.3
2041127.2108.3–143.56337.5–86.6
2042134.6112.8–150.754.826.4–94.7
2043131.6112.5–149.357.129.8–85.3
2044128.2108.1–145.957.336.7–95.7
2045133.4116.7–148.754.934.2–90.2
2046133.8109–151.162.736.4–102.1
2047134.6110–150.963.635–98.5
2048136117.1–152.372.237.4–110.4
2049133.3115.2–152.566.240.8–98.3
2050138.4119.4–157.464.536.9–95.3
2051138115.5–158.266.135.5–97.1
2052138.3120.3–155.374.339.3–108.1
2053137.4117.7–155.864.635–106.7
2054137116–152.469.144.2–112.1
2055139.6120–157.271.445.3–107.6
2056135.8117.3–154.170.536.5–117.7
2057141.5119.5–158.87240–104.6
2058137.1114.3–154.773.140.6–107.3
2059141.4122.6–156.677.251.2–121.4
2060142.5124.1–158.680.946–117
2061142.3123.2–157.477.335.3–117.8
2062141.3118.8–161.273.535.5–125.8
2063143.1125.6–160.683.640.3–122.6
2064140.7119.8–163.574.746.9–111.8
2065141.1121.5–159.369.939.5–124.8
2066143.8122.5–163.480.250.7–122.7
2067144.2125.9–162.369.437.9–116
2068143.2126–162.276.445.8–131.7
2069144.7119.8–163.277.747.4–128.7
2070143.7126.5–16373.839.2–129.5
2071145.5121.8–164.480.642.2–131.6
2072147.1125.5–165.181.347.5–135.3
2073149.2122.1–164.788.854.2–133.4
2074145.8126.7–162.28444.3–128.1
2075145.1126.2–160.582.838.3–123.9
2076145.7126.4–165.982.937.1–132.9
2077146.1126.2–164.48849.4–132.4
2078146.5121.4–164.491.252–137
2079144.6122.7–16185.749.5–144.4
2080148.2123.7–166.488.552.7–143.6
2081145.8122.2–16787.150.9–135.1
2082146123.3–168.889.953.5–133.6
2083148.3127–167.487.145.8–149.7
2084150.5128.5–167.68447.7–131
2085149.9126.1–170.893.853.8–141.8
2086146.3124.2–16587.745.8–139.2
2087149.9124.3–167.386.447.4–139.2
2088149.3127.9–169.790.441.7–153.2
2089148.9129.6–166.790.149–151.2
2090150.3131.5–166.787.853.3–154.1
2091151.1128.4–168.78648.2–148.6
2092150.5129.8–170.292.650.2–149.9
2093151.6131.8–167.989.854.6–159
2094151.5130.4–168.695.549.6–143.6
2095152.5130.6–169.2103.458.2–156.3
2096150.8124.2–16989.951.3–155.4
2097149.4130.3–167.594.550.2–142.6
2098151.7125.4–168.289.851.6–149.6
2099151.6124.4–170.688.244.7–147.4
2100147.6125.2–167.595.951.1–153.3

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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