Ethiopia vs Pakistan

Ethiopia vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 42.9 days in Ethiopia and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 75.7 days, or 2.77 times that in Ethiopia.

days a year · CMIP6

Ethiopia vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 42.9 days in Ethiopia and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 75.7 days, or 2.77 times that in Ethiopia.
EthiopiaPakistanCMIP6 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 Ethiopia at 80.7 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearEthiopiaPakistan
201442.9118.6
201342.4117.5
201241.6117.5
201141.7118
201041114.3
200939.4115.3
200838.4115.4
200737.3112.5
200638.4112.9
200538.5114.9
200437.6116.1
200338.3114.6
200239115.9
200138.7114.4
200037.3114.6
199936.7114.2
199836.8111.7
199735.7112
199634.4108.3
199534.2110
199432.7108.6
199330.2107.2
199229.7105.2
199134.7110.6
199034.2110.7
198933.7110.9
198834.3109.8
198734.7108.3
198634.2108.7
198532105.6
198432.1108
198331.1104.7
198233.2108
198134109.5
198033.9109.7
197933108.7
197832.2108.6
197732.6106.5
197631.1108.2
197530.4105
197431.9108.8
197332.6108
197231.4104.5
197130.4106.2
197030.3106.5
196931105.8
196829.8104.4
196729.5106.4
196630.3106.4
196529.6106
196427.2103
196328.6104.3
196231.8106.7
196132.6108.7
196031.1108.7
195931.3110.4
195830.9108.5
195732110.7
195631.3108.8
195530.5108.3
195431.1107
195331.7107.6
195231.5108.9
195131.4108.1
195031.4110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEthiopiaPakistan
201543.232.9–53.6122100.8–136.6
201641.931.5–52.8119.5104.9–132
201743.730.8–54.5119.999.5–134.3
201843.231.7–56.4119.7103–133.8
201943.132.6–54.9118.997.2–133.8
202045.232.1–57122.8105–136.3
20214432.6–55.5122.9103.2–138.2
202245.633–57.2120.7101.9–136.4
202346.934.4–59.5123.3104.8–138.8
202448.136–61.5124.4105.4–139.1
202546.334.6–58.6123.8102.8–139.1
202645.732.3–63.1122.5101.9–141.8
202746.132.5–61.1124.4101.5–141
202847.633.9–62124.8103.6–140.2
202949.435.8–62.7126.499.2–141.6
203048.535.7–62.6122.5103.5–140.1
203151.139.4–65.9122.7105.6–139.9
203250.137.7–64.1126104–143.9
203353.438.5–66.4125.9106.6–144.1
203451.538.9–67.1130.9113.2–147.8
203551.737.3–67.5127.1107.6–143.6
203650.537.8–64.5125.5108.3–143.4
203752.738.1–68.3130.7112.4–147.9
203853.640.2–68.6130.9108.6–144.9
203954.840.3–68.9128.6110.2–144.9
204053.740.8–71.1133.2115.1–146.1
204155.640.9–72.9127.2108.3–143.5
204255.742–71.7134.6112.8–150.7
204354.839.1–72.7131.6112.5–149.3
204457.440.3–72.9128.2108.1–145.9
20455841.7–76.4133.4116.7–148.7
204660.840.5–78.9133.8109–151.1
204761.544–78.8134.6110–150.9
204860.143.7–78136117.1–152.3
204962.445.4–81133.3115.2–152.5
20506044.7–80.4138.4119.4–157.4
205162.245.7–85.1138115.5–158.2
205262.244.5–79.6138.3120.3–155.3
205361.143.4–81.4137.4117.7–155.8
205459.343.9–79.1137116–152.4
205564.645.2–84.1139.6120–157.2
205662.243.7–85.5135.8117.3–154.1
205764.347.1–87.3141.5119.5–158.8
205865.743.7–87.1137.1114.3–154.7
205966.145.7–88141.4122.6–156.6
206067.546.8–88.1142.5124.1–158.6
206167.548.2–88.8142.3123.2–157.4
206267.146.1–91.6141.3118.8–161.2
206367.648.5–88.1143.1125.6–160.6
206468.946.1–87.5140.7119.8–163.5
206566.149.5–91.3141.1121.5–159.3
206668.249.7–87.1143.8122.5–163.4
206769.348.8–91.1144.2125.9–162.3
206867.548.2–92.4143.2126–162.2
206969.450.1–90144.7119.8–163.2
207067.948.5–95.4143.7126.5–163
207173.149.8–96.2145.5121.8–164.4
207272.849.4–92.6147.1125.5–165.1
207371.653.2–95.3149.2122.1–164.7
207468.448.8–96.8145.8126.7–162.2
207572.849.6–96.6145.1126.2–160.5
20767552.9–98.3145.7126.4–165.9
207777.651.6–104.2146.1126.2–164.4
207872.252.6–97.6146.5121.4–164.4
207974.452.7–95.3144.6122.7–161
20807750.9–100.6148.2123.7–166.4
208178.953.6–104.3145.8122.2–167
208277.354.5–99.1146123.3–168.8
208378.455.3–102.5148.3127–167.4
20847854.4–101.3150.5128.5–167.6
208578.855–103.6149.9126.1–170.8
208681.653.6–106.3146.3124.2–165
208778.353–102.2149.9124.3–167.3
20887854–103.9149.3127.9–169.7
208978.455.9–100.2148.9129.6–166.7
209082.555.7–105.3150.3131.5–166.7
209182.554.6–108.2151.1128.4–168.7
209280.652.6–104150.5129.8–170.2
209380.758.9–107151.6131.8–167.9
209481.357.6–105.4151.5130.4–168.6
20958257–107.8152.5130.6–169.2
209680.654–107.6150.8124.2–169
209779.556.7–107.5149.4130.3–167.5
209878.853.4–108.7151.7125.4–168.2
20998155.7–110.5151.6124.4–170.6
210080.755.5–106.4147.6125.2–167.5

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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