Australia vs Pakistan

Australia vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 81.7 days in Australia and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 36.9 days, or 1.45 times that in Australia.

days a year · CMIP6

Australia vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 81.7 days in Australia and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 36.9 days, or 1.45 times that in Australia.
AustraliaPakistanCMIP6 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 Australia at 120.5 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearAustraliaPakistan
201481.7118.6
201383.1117.5
201280.8117.5
201179.5118
201083.2114.3
200980115.3
200879.5115.4
200778.5112.5
200676112.9
200576.6114.9
200482.2116.1
200380.7114.6
200274.3115.9
200177.2114.4
200078114.6
199971.7114.2
199878.1111.7
199775.2112
199671.1108.3
199568.9110
199469.6108.6
199367.8107.2
199260.6105.2
199173.2110.6
199075.6110.7
198972.9110.9
198869.8109.8
198770.1108.3
198672.2108.7
198566.1105.6
198471.3108
198368.4104.7
198273.4108
198169.1109.5
198071.2109.7
197970.4108.7
197870.8108.6
197770.3106.5
197669.4108.2
197565.8105
197467.7108.8
197371.3108
197265.4104.5
197168.8106.2
197066106.5
196970105.8
196867.2104.4
196767.7106.4
196666.9106.4
196566.9106
196464.8103
196363.4104.3
196270.7106.7
196172.1108.7
196071.5108.7
195969.2110.4
195869.6108.5
195770.1110.7
195667.3108.8
195566.2108.3
195470.4107
195367.7107.6
195271108.9
195169.7108.1
195068.6110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaPakistan
201576.853.2–96.9122100.8–136.6
201679.859.4–98.3119.5104.9–132
201786.262–105.4119.999.5–134.3
201885.863–104.5119.7103–133.8
201980.955.1–101.6118.997.2–133.8
202084.756.1–104122.8105–136.3
202185.663.6–106.5122.9103.2–138.2
202289.462.5–109.3120.7101.9–136.4
202384.961–108.6123.3104.8–138.8
202489.263.7–109.8124.4105.4–139.1
202586.459.2–112.4123.8102.8–139.1
202688.864.7–112.2122.5101.9–141.8
202789.463.2–109.7124.4101.5–141
202893.269.5–112.9124.8103.6–140.2
20299476.8–115.4126.499.2–141.6
203087.664.4–110122.5103.5–140.1
203192.264.8–115122.7105.6–139.9
203296.273.8–119.2126104–143.9
203392.871–113.6125.9106.6–144.1
203494.673.5–118.5130.9113.2–147.8
203593.968.1–117.2127.1107.6–143.6
203690.267.6–113.7125.5108.3–143.4
2037100.677.4–120.6130.7112.4–147.9
203898.474.8–118.7130.9108.6–144.9
20399666.5–117.1128.6110.2–144.9
204095.971.2–117.3133.2115.1–146.1
204195.571.6–117.2127.2108.3–143.5
204296.367.9–119.8134.6112.8–150.7
204399.376.7–118.2131.6112.5–149.3
204497.974.6–121.5128.2108.1–145.9
204597.875.9–118.2133.4116.7–148.7
204698.972.9–124.7133.8109–151.1
2047101.675.9–122.9134.6110–150.9
2048105.875–127.2136117.1–152.3
2049104.379.7–126.3133.3115.2–152.5
2050103.274.6–124.4138.4119.4–157.4
2051106.578.2–130.4138115.5–158.2
2052103.877.1–130.6138.3120.3–155.3
2053102.877.4–129.2137.4117.7–155.8
2054103.979.2–132.2137116–152.4
2055107.780.2–128.9139.6120–157.2
205610782.5–128.6135.8117.3–154.1
2057107.880.8–128.5141.5119.5–158.8
2058107.678.9–132.4137.1114.3–154.7
2059109.283.2–131.6141.4122.6–156.6
2060108.281.6–130.8142.5124.1–158.6
2061110.582.7–133.6142.3123.2–157.4
2062103.675.5–126.2141.3118.8–161.2
2063112.885.3–134.9143.1125.6–160.6
2064109.485.3–132.4140.7119.8–163.5
2065107.679.3–129.4141.1121.5–159.3
2066114.593.5–137.8143.8122.5–163.4
2067111.281.6–140144.2125.9–162.3
2068114.379.8–138.3143.2126–162.2
2069108.782–134.9144.7119.8–163.2
2070109.479.1–140.3143.7126.5–163
2071111.783–138145.5121.8–164.4
2072113.787.6–137.3147.1125.5–165.1
2073118.593.1–139.9149.2122.1–164.7
2074112.586.3–136145.8126.7–162.2
2075113.181–135.9145.1126.2–160.5
2076114.987.1–137.5145.7126.4–165.9
2077117.686.2–139.7146.1126.2–164.4
2078116.193.4–136.9146.5121.4–164.4
2079112.485.3–137.7144.6122.7–161
208011483.2–138.7148.2123.7–166.4
2081115.882.5–139.6145.8122.2–167
2082116.188.5–138.4146123.3–168.8
2083113.184.1–140.2148.3127–167.4
2084120.886–143.5150.5128.5–167.6
2085116.987.7–142.3149.9126.1–170.8
2086118.683.7–140.4146.3124.2–165
208711785.8–143149.9124.3–167.3
2088120.188.6–146.1149.3127.9–169.7
2089117.491.7–140.8148.9129.6–166.7
209011988.8–146.2150.3131.5–166.7
2091118.691.2–140.5151.1128.4–168.7
2092118.784.5–143.2150.5129.8–170.2
2093122.388.6–148.2151.6131.8–167.9
2094117.689–142.8151.5130.4–168.6
209512494.3–151.5152.5130.6–169.2
2096118.390.2–145.3150.8124.2–169
2097120.986.4–147.2149.4130.3–167.5
2098118.891.5–144.3151.7125.4–168.2
2099123.292.1–145.4151.6124.4–170.6
2100120.591–145.4147.6125.2–167.5

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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