Kenya vs Saudi Arabia

Kenya vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 48.1 days in Kenya and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 117.6 days, or 3.44 times that in Kenya.

days a year · CMIP6

Kenya vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 48.1 days in Kenya and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 117.6 days, or 3.44 times that in Kenya.
KenyaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearKenyaSaudi Arabia
201448.1165.7
201346.4163.7
201245.5164.4
201146.4164.2
201045.5162.2
200940.9160
200840.8161.6
200739.2159.7
200642160.2
200542.9161
200441.8160.4
200341159.5
200242.7160.4
200143.4162
200039.6159.8
199940.9158.2
199839.7156.3
199738.8156.7
199635.3156.3
199534.3154.1
199432.9154.8
199328.5148.8
199228.2147
199135.1153.4
199034.1156.8
198934.5153.8
198833.9153.1
198735.9152.7
198635.5153.7
198531.2151
198431150
198330.2147.7
198233.9149.2
198134.6153.2
198036.4153
197934.4150.7
197831.8149.5
197730.5150.1
197628.6151.5
197529.7146.6
197430.4147.9
197329.1149.5
197228.4148.2
197128.1146.3
197027146.9
196929147.4
196825.7147.4
196726.9145.3
196625.8146.9
196524.4146.3
196420.8145.4
196325.7145.8
196228.8148.7
196130.9150.1
196029.5150.9
195930.4151
195828150.2
195730.7152.3
195628.9148.7
195530.2148.6
195430148.7
195331150.2
195229.8150.8
195130.1148.6
195030.8148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearKenyaSaudi Arabia
201550.131.1–66.1168.1155.2–180.8
201649.230.5–67.3167.4155–178.2
201750.228.4–68.7166.4152.1–178.2
20185033.4–67.3167.1153.7–180.7
201949.431.2–67.4168.2153.9–180.5
202053.533.4–75.7169.6156.7–182
202152.434.3–69.5168.7155.3–180.5
202251.825–70.5169.6153.9–183.2
202355.535.3–80169.7155.9–184.9
202460.738.5–78.7170.4157.8–184.5
202555.236.8–74.4171.2159.4–181.9
202655.435.2–86.2173.2159.7–185.5
20275634.2–77.5173.9159.3–185.4
202856.731.5–80.6172.8158.3–185.8
202959.535.1–79.7171157.4–183.8
203057.940.5–79.9174.4160.6–185.9
203164.244.3–83.9175160.1–186.7
203258.839.6–81.3173.2160.2–185
203363.639.2–87.1176.3161.4–189.7
203462.339.2–84.6178.6164.5–193.4
203561.636.8–84.1176.1161.7–191.7
203659.840.3–84.7174.7162–187.2
203763.740.4–91.7177.3164.7–189.2
203863.235.1–89.5177.8163.1–191.7
203965.540.6–88.4178.3165.1–192.5
204064.144.3–84.7178.6165.4–188.9
204169.847.4–98.8177.4162.3–190
204271.147–95.3180165.1–193.2
204366.640.7–91.1179.6161.2–192.6
204469.243–91.5180.4167.3–191
20457049.2–100.3182.8167.9–195.9
204676.643.2–107.2182168–195.8
204774.249.2–103.8182.6170–195
204872.847.4–102.8184.1169.5–199.4
204978.548.6–107.8182.9169.7–195.4
20507250–107.2184.9170.6–196.8
205179.352.5–111185.3171.5–197.6
205279.550.7–104.4184.2170–196.6
205372.944.3–104.5181.7168.3–195.1
205473.142.1–99.6183.9167.9–197.3
205580.450.6–105.6187.7171.8–200.3
205676.247–111.2183.5168.6–196.2
205781.352.9–109.1186.6172.5–201.3
205878.950–112.4184.9169.7–198.2
205983.351.3–115.7184.3169.9–199.3
206085.749.3–116.5188.1174–198.7
206185.354.7–115.1187.6174–198.4
206285.355.1–116.5186.9170.4–201.9
206384.254.2–110.1188.8174.6–201.8
206487.448.2–113.7187.2174.3–201.1
206586.855.1–123.7186.3171–200.8
206683.857–115188.6174.6–204.2
20678955.6–119.5190.8177.1–204.4
206887.751.4–117.1188.1176.8–201.4
20698653.8–118.3189.2174–202.2
207086.150.8–121190.4177.1–204.1
207191.757.9–123.6193.2174.7–207.4
207291.461.3–123.1190.3174.7–203.7
207391.458.5–127.3192.8177.3–207.7
207487.855.2–124.3189.9174.1–206.8
207589.853.7–127.4190.3174.8–206.1
207697.664.7–134.6190.9175–206.9
207797.755.7–131.4193.3176.6–206.1
207890.260.9–124.7192.2178.3–207.4
20799463.2–125.8192177.9–203.8
208096.157.8–132.4192.9177.3–209.4
208199.766.8–136.7193.1174.9–208
208299.458.5–131.7192.8177.3–208.2
2083100.263.9–137.5194.3178.4–208.7
20849967.9–133.8193.4181.1–208.4
208599.259.2–137.4193.9178.3–211
2086104.457.4–142.5193.2177.7–211.5
208799.762.4–134.4194.6180.8–208.8
208898.761–135.2195178.3–211.9
208997.966–126.9195.7180.6–209.9
2090101.468.5–136194.9178.8–210.6
2091104.465.5–141.4195.9182.4–210.1
209299.759.8–137.8195.7181.2–210.7
2093105.971.9–140.7194.4178.8–210.4
2094107.369.1–137.3195.7181.7–209.9
2095106.367.5–142.4196.2182.1–210.7
2096105.461.5–142.2196.8178.8–213.1
2097105.161.4–139.2195.2178–211.1
2098104.861.9–140.8196.3177.7–212.9
2099103.362.5–145.4195.3181.5–210.6
2100103.757.3–139.4195.8182.5–210.3

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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