Pakistan vs Tunisia

Pakistan vs Tunisia: Days above 35 °C

Days above 35 °C in 2014: 118.6 days in Pakistan and 62.9 days in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 55.7 days, or 1.89 times that in Tunisia.

days a year · CMIP6

Pakistan vs Tunisia: Days above 35 °CDays above 35 °C in 2014: 118.6 days in Pakistan and 62.9 days in Tunisia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 55.7 days, or 1.89 times that in Tunisia.
PakistanTunisiaCMIP6 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 Tunisia at 95.5 days in 2100.

Every year

days a year · CMIP6

YearPakistanTunisia
2014118.662.9
2013117.561.2
2012117.560.5
201111860.4
2010114.364.3
2009115.358.6
2008115.460.2
2007112.557.2
2006112.958.7
2005114.956.1
2004116.156.3
2003114.656.5
2002115.957.2
2001114.454.7
2000114.657.5
1999114.252.7
1998111.753.9
199711253.1
1996108.350.8
199511049
1994108.648.8
1993107.246
1992105.246.1
1991110.651
1990110.753.5
1989110.949.6
1988109.849.4
1987108.347.4
1986108.747.7
1985105.645
198410846
1983104.745.6
198210848.5
1981109.548.9
1980109.748.9
1979108.748.8
1978108.645.1
1977106.543.8
1976108.245.8
197510544.6
1974108.842.4
197310842.9
1972104.547
1971106.246
1970106.546.1
1969105.845
1968104.445.6
1967106.444.7
1966106.443.5
196510640.3
196410342
1963104.345.8
1962106.747.6
1961108.745.1
1960108.747.6
1959110.449.5
1958108.547.1
1957110.748.4
1956108.846
1955108.346.7
195410746.1
1953107.648
1952108.947.4
1951108.147.3
1950110.547
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanTunisia
2015122100.8–136.66350.7–78.1
2016119.5104.9–13263.348.7–80.3
2017119.999.5–134.368.549.7–81.6
2018119.7103–133.865.751.9–82.5
2019118.997.2–133.867.753.6–78.2
2020122.8105–136.365.550.3–79.6
2021122.9103.2–138.267.653.2–78.6
2022120.7101.9–136.47053.2–88
2023123.3104.8–138.869.755.7–81
2024124.4105.4–139.171.357.2–81.4
2025123.8102.8–139.169.150.4–87.5
2026122.5101.9–141.871.457.1–85.3
2027124.4101.5–14167.852.6–83.6
2028124.8103.6–140.271.859–85.3
2029126.499.2–141.672.759.6–85.6
2030122.5103.5–140.173.756.9–86.9
2031122.7105.6–139.96957.5–80.5
2032126104–143.97662.7–87
2033125.9106.6–144.176.157.7–86.6
2034130.9113.2–147.877.255.3–91.3
2035127.1107.6–143.67663–92.6
2036125.5108.3–143.476.861.2–90.8
2037130.7112.4–147.975.961.6–88.6
2038130.9108.6–144.977.463.1–91.4
2039128.6110.2–144.977.761.2–90.6
2040133.2115.1–146.182.164.8–95.1
2041127.2108.3–143.577.462.1–92.6
2042134.6112.8–150.781.660.2–97.2
2043131.6112.5–149.377.163.8–93
2044128.2108.1–145.978.760.9–94.8
2045133.4116.7–148.779.165.1–90.5
2046133.8109–151.178.962.9–97.3
2047134.6110–150.980.966.8–98.8
2048136117.1–152.379.961.9–96.3
2049133.3115.2–152.580.563.5–97.9
2050138.4119.4–157.484.466.7–99.7
2051138115.5–158.280.965.3–96.8
2052138.3120.3–155.382.267.3–97.7
2053137.4117.7–155.883.771.6–101.5
2054137116–152.483.369.5–98.4
2055139.6120–157.286.865.3–102.6
2056135.8117.3–154.185.669.3–101.2
2057141.5119.5–158.884.770.4–98.5
2058137.1114.3–154.788.773.8–106.1
2059141.4122.6–156.684.366.3–102.5
2060142.5124.1–158.687.170.9–99.2
2061142.3123.2–157.488.970.3–100.4
2062141.3118.8–161.287.769.6–103.4
2063143.1125.6–160.689.272.4–103.3
2064140.7119.8–163.588.472.5–107.6
2065141.1121.5–159.389.975.6–106.9
2066143.8122.5–163.485.568.8–101.1
2067144.2125.9–162.393.276.1–109.3
2068143.2126–162.293.474.5–108.8
2069144.7119.8–163.289.973.9–101.7
2070143.7126.5–16387.873.3–105.8
2071145.5121.8–164.491.674.1–108
2072147.1125.5–165.193.579.3–105.5
2073149.2122.1–164.790.477.9–104.5
2074145.8126.7–162.289.971.1–106.9
2075145.1126.2–160.589.676.2–108.2
2076145.7126.4–165.993.875.3–106.5
2077146.1126.2–164.491.774.1–106.7
2078146.5121.4–164.493.176–110.3
2079144.6122.7–1619873.5–114.5
2080148.2123.7–166.49474.2–111.7
2081145.8122.2–1679176.7–108.9
2082146123.3–168.898.176.1–112.6
2083148.3127–167.495.176.2–110
2084150.5128.5–167.695.379.6–115.5
2085149.9126.1–170.89678–114.8
2086146.3124.2–16593.279.4–107.8
2087149.9124.3–167.393.374.9–113.6
2088149.3127.9–169.799.578.1–114
2089148.9129.6–166.795.278.6–114.8
2090150.3131.5–166.796.476.6–113.9
2091151.1128.4–168.799.478.1–113.5
2092150.5129.8–170.296.776.4–109.2
2093151.6131.8–167.996.881–113
2094151.5130.4–168.694.677.7–111.6
2095152.5130.6–169.297.479.7–111.8
2096150.8124.2–16997.479.5–118.2
2097149.4130.3–167.595.581.2–115.5
2098151.7125.4–168.298.283.3–113.8
2099151.6124.4–170.699.779.3–112.5
2100147.6125.2–167.595.578.5–115.7

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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