Kenya vs Pakistan

Kenya vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 48.1 days in Kenya and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 70.5 days, or 2.46 times that in Kenya.

days a year · CMIP6

Kenya vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 48.1 days in Kenya and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 70.5 days, or 2.46 times that in Kenya.
KenyaPakistanCMIP6 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 Kenya at 103.7 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearKenyaPakistan
201448.1118.6
201346.4117.5
201245.5117.5
201146.4118
201045.5114.3
200940.9115.3
200840.8115.4
200739.2112.5
200642112.9
200542.9114.9
200441.8116.1
200341114.6
200242.7115.9
200143.4114.4
200039.6114.6
199940.9114.2
199839.7111.7
199738.8112
199635.3108.3
199534.3110
199432.9108.6
199328.5107.2
199228.2105.2
199135.1110.6
199034.1110.7
198934.5110.9
198833.9109.8
198735.9108.3
198635.5108.7
198531.2105.6
198431108
198330.2104.7
198233.9108
198134.6109.5
198036.4109.7
197934.4108.7
197831.8108.6
197730.5106.5
197628.6108.2
197529.7105
197430.4108.8
197329.1108
197228.4104.5
197128.1106.2
197027106.5
196929105.8
196825.7104.4
196726.9106.4
196625.8106.4
196524.4106
196420.8103
196325.7104.3
196228.8106.7
196130.9108.7
196029.5108.7
195930.4110.4
195828108.5
195730.7110.7
195628.9108.8
195530.2108.3
195430107
195331107.6
195229.8108.9
195130.1108.1
195030.8110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaPakistan
201550.131.1–66.1122100.8–136.6
201649.230.5–67.3119.5104.9–132
201750.228.4–68.7119.999.5–134.3
20185033.4–67.3119.7103–133.8
201949.431.2–67.4118.997.2–133.8
202053.533.4–75.7122.8105–136.3
202152.434.3–69.5122.9103.2–138.2
202251.825–70.5120.7101.9–136.4
202355.535.3–80123.3104.8–138.8
202460.738.5–78.7124.4105.4–139.1
202555.236.8–74.4123.8102.8–139.1
202655.435.2–86.2122.5101.9–141.8
20275634.2–77.5124.4101.5–141
202856.731.5–80.6124.8103.6–140.2
202959.535.1–79.7126.499.2–141.6
203057.940.5–79.9122.5103.5–140.1
203164.244.3–83.9122.7105.6–139.9
203258.839.6–81.3126104–143.9
203363.639.2–87.1125.9106.6–144.1
203462.339.2–84.6130.9113.2–147.8
203561.636.8–84.1127.1107.6–143.6
203659.840.3–84.7125.5108.3–143.4
203763.740.4–91.7130.7112.4–147.9
203863.235.1–89.5130.9108.6–144.9
203965.540.6–88.4128.6110.2–144.9
204064.144.3–84.7133.2115.1–146.1
204169.847.4–98.8127.2108.3–143.5
204271.147–95.3134.6112.8–150.7
204366.640.7–91.1131.6112.5–149.3
204469.243–91.5128.2108.1–145.9
20457049.2–100.3133.4116.7–148.7
204676.643.2–107.2133.8109–151.1
204774.249.2–103.8134.6110–150.9
204872.847.4–102.8136117.1–152.3
204978.548.6–107.8133.3115.2–152.5
20507250–107.2138.4119.4–157.4
205179.352.5–111138115.5–158.2
205279.550.7–104.4138.3120.3–155.3
205372.944.3–104.5137.4117.7–155.8
205473.142.1–99.6137116–152.4
205580.450.6–105.6139.6120–157.2
205676.247–111.2135.8117.3–154.1
205781.352.9–109.1141.5119.5–158.8
205878.950–112.4137.1114.3–154.7
205983.351.3–115.7141.4122.6–156.6
206085.749.3–116.5142.5124.1–158.6
206185.354.7–115.1142.3123.2–157.4
206285.355.1–116.5141.3118.8–161.2
206384.254.2–110.1143.1125.6–160.6
206487.448.2–113.7140.7119.8–163.5
206586.855.1–123.7141.1121.5–159.3
206683.857–115143.8122.5–163.4
20678955.6–119.5144.2125.9–162.3
206887.751.4–117.1143.2126–162.2
20698653.8–118.3144.7119.8–163.2
207086.150.8–121143.7126.5–163
207191.757.9–123.6145.5121.8–164.4
207291.461.3–123.1147.1125.5–165.1
207391.458.5–127.3149.2122.1–164.7
207487.855.2–124.3145.8126.7–162.2
207589.853.7–127.4145.1126.2–160.5
207697.664.7–134.6145.7126.4–165.9
207797.755.7–131.4146.1126.2–164.4
207890.260.9–124.7146.5121.4–164.4
20799463.2–125.8144.6122.7–161
208096.157.8–132.4148.2123.7–166.4
208199.766.8–136.7145.8122.2–167
208299.458.5–131.7146123.3–168.8
2083100.263.9–137.5148.3127–167.4
20849967.9–133.8150.5128.5–167.6
208599.259.2–137.4149.9126.1–170.8
2086104.457.4–142.5146.3124.2–165
208799.762.4–134.4149.9124.3–167.3
208898.761–135.2149.3127.9–169.7
208997.966–126.9148.9129.6–166.7
2090101.468.5–136150.3131.5–166.7
2091104.465.5–141.4151.1128.4–168.7
209299.759.8–137.8150.5129.8–170.2
2093105.971.9–140.7151.6131.8–167.9
2094107.369.1–137.3151.5130.4–168.6
2095106.367.5–142.4152.5130.6–169.2
2096105.461.5–142.2150.8124.2–169
2097105.161.4–139.2149.4130.3–167.5
2098104.861.9–140.8151.7125.4–168.2
2099103.362.5–145.4151.6124.4–170.6
2100103.757.3–139.4147.6125.2–167.5

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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