Afghanistan vs Pakistan

Afghanistan vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 50.4 days in Afghanistan and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 68.2 days, or 2.35 times that in Afghanistan.

days a year · CMIP6

Afghanistan vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 50.4 days in Afghanistan and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 68.2 days, or 2.35 times that in Afghanistan.
AfghanistanPakistanCMIP6 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 Afghanistan at 70.5 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearAfghanistanPakistan
201450.4118.6
201350.1117.5
201249.2117.5
201149.9118
201047.4114.3
200948.6115.3
200847.7115.4
200747.4112.5
200648.3112.9
200548.4114.9
200447.9116.1
200347.1114.6
200249.3115.9
200146.7114.4
200047.9114.6
199947.8114.2
199846.6111.7
199746.6112
199645.2108.3
199543.9110
199443.7108.6
199342.4107.2
199241.6105.2
199145110.6
199045.1110.7
198945.4110.9
198844.5109.8
198744.4108.3
198643.4108.7
198543.2105.6
198443108
198340.5104.7
198243.3108
198144.4109.5
198043.7109.7
197944.6108.7
197843.4108.6
197741.1106.5
197642.9108.2
197541.7105
197442.2108.8
197340.9108
197242.2104.5
197140.9106.2
197041.2106.5
196940.7105.8
196841.2104.4
196742.7106.4
196641.5106.4
196541.3106
196441.3103
196342104.3
196242.3106.7
196143.4108.7
196042.6108.7
195942.1110.4
195843.9108.5
195743.1110.7
195642.1108.8
195542.1108.3
195442.9107
195342.4107.6
195243.5108.9
195143108.1
195043.8110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAfghanistanPakistan
201552.144.5–59.7122100.8–136.6
201652.145.1–59.4119.5104.9–132
20175243.4–58.8119.999.5–134.3
201850.744.2–58.6119.7103–133.8
201952.245.5–60.7118.997.2–133.8
202053.546.5–62.5122.8105–136.3
202153.344.4–62.3122.9103.2–138.2
202252.145–61.7120.7101.9–136.4
202355.744.7–63.7123.3104.8–138.8
202455.345.9–63.6124.4105.4–139.1
202555.647.5–63.6123.8102.8–139.1
202653.344.3–64.8122.5101.9–141.8
202755.447.5–63.3124.4101.5–141
202855.545.6–64124.8103.6–140.2
202953.845.7–62.7126.499.2–141.6
203055.648–63.7122.5103.5–140.1
203156.448.4–64.2122.7105.6–139.9
203256.747.8–66126104–143.9
203356.947.3–67125.9106.6–144.1
203459.248.8–68.7130.9113.2–147.8
203558.549–68.2127.1107.6–143.6
203657.749.1–66.8125.5108.3–143.4
20375950.4–71130.7112.4–147.9
203859.249.5–66.7130.9108.6–144.9
203958.249.5–67128.6110.2–144.9
204059.150.7–69.2133.2115.1–146.1
204157.648.2–67.1127.2108.3–143.5
204260.451–69.8134.6112.8–150.7
204358.248.9–69.5131.6112.5–149.3
204458.449.6–68.7128.2108.1–145.9
20456150.4–71.3133.4116.7–148.7
20466050.9–70.5133.8109–151.1
204761.852.4–71.3134.6110–150.9
204861.954.2–70.7136117.1–152.3
204961.351.4–71.6133.3115.2–152.5
205063.253–73.1138.4119.4–157.4
205163.152–73.1138115.5–158.2
205263.852.9–73.8138.3120.3–155.3
205362.652.8–72.6137.4117.7–155.8
205463.553.8–72.5137116–152.4
205564.455.4–74.1139.6120–157.2
20566354–73.3135.8117.3–154.1
205764.655.1–74.7141.5119.5–158.8
205863.754.8–75.4137.1114.3–154.7
205962.555.1–71141.4122.6–156.6
20606654.6–75.5142.5124.1–158.6
206164.956.6–73.5142.3123.2–157.4
206266.155.6–75.9141.3118.8–161.2
206365.757.7–77.1143.1125.6–160.6
206465.455.9–77.1140.7119.8–163.5
206566.456.6–77.1141.1121.5–159.3
206666.557.7–77.5143.8122.5–163.4
206768.857.1–79.6144.2125.9–162.3
206866.956.9–77.3143.2126–162.2
206966.857.2–77.5144.7119.8–163.2
207066.758.4–77.3143.7126.5–163
207167.257.2–78.2145.5121.8–164.4
207267.255.9–79.7147.1125.5–165.1
207368.757.2–79.9149.2122.1–164.7
207468.658.3–78.1145.8126.7–162.2
207567.558.4–79.8145.1126.2–160.5
207668.356.9–80.8145.7126.4–165.9
207767.857–78.4146.1126.2–164.4
207866.655.3–82.4146.5121.4–164.4
207967.157–79.5144.6122.7–161
208067.858.3–80.6148.2123.7–166.4
208167.856.6–81145.8122.2–167
208269.358.7–81.5146123.3–168.8
208369.559.1–81.2148.3127–167.4
208470.160.5–81150.5128.5–167.6
208568.358.1–83.7149.9126.1–170.8
208668.957.9–81146.3124.2–165
208770.761.8–82.2149.9124.3–167.3
208870.858.9–81.9149.3127.9–169.7
208970.560.5–82.3148.9129.6–166.7
209069.959.6–83.2150.3131.5–166.7
209170.659.8–81.6151.1128.4–168.7
209270.860.2–82.7150.5129.8–170.2
209371.161.4–80.6151.6131.8–167.9
209471.161–84.6151.5130.4–168.6
209572.359.4–82.8152.5130.6–169.2
209671.660.6–84.1150.8124.2–169
209769.558.6–81.6149.4130.3–167.5
20987260.3–84.5151.7125.4–168.2
209970.458.4–83.3151.6124.4–170.6
210070.558.4–84.4147.6125.2–167.5

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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