Côte d’Ivoire vs Mali

Côte d’Ivoire vs Mali: Days above 35 °C

Days above 35 °C in 2014: 36.4 days in Côte d’Ivoire and 205.3 days in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 168.9 days, or 5.64 times that in Côte d’Ivoire.

days a year · CMIP6

Côte d’Ivoire vs Mali: Days above 35 °CDays above 35 °C in 2014: 36.4 days in Côte d’Ivoire and 205.3 days in Mali, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mali, by 168.9 days, or 5.64 times that in Côte d’Ivoire.
Côte d’IvoireMaliCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mali has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Côte d’Ivoire at 110.6 days and Mali at 250.4 days in 2100.

Every year

days a year · CMIP6

YearCôte d’IvoireMali
201436.4205.3
201337.7204.6
201235205.2
201135.7205
201033.9201.7
200932.7201.1
200829.4200.4
200731201.3
200629.7198.2
200532.3198.1
200433.6201.5
200330.8198.8
200231.2200.1
200132.8198.2
200030.7195.8
199929.5194.7
199829.1193.3
199728.5194.1
199622188.1
199523.7189.6
199423.7187
199319.8183.1
199218.4181.5
199127.1191.7
199028.5192.8
198924.1189.4
198826.3187.1
198725.3188.2
198625.7190.4
198524.4185.4
198424.5186.1
198324.3186.8
198225.5187.2
198125.4187
198023.3189
197924.1188.8
197823.9184.1
197723.5184.6
197622.4184.9
197521.1183
197422.5180
197322.7185.9
197221.3182.7
197121.8181.8
197021.6184.4
196923.9184.7
196820.1182.4
196718.6179.2
196622.3182.3
196519.2180.5
196414.2177.2
196322.2177.9
196223.5185.3
196122.7186.4
196025.2189.3
195923.5187.2
195824.4185.9
195721.8191.6
195621.9182.5
195525185.5
195422.3187.6
195320.9186.3
195221184.5
195124.3186
195021.3183
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireMali
201539.425–57.3205.1181.6–226.2
201635.216.8–50.3202177.4–219.9
20173620.5–51.5208.7184.8–230
201837.619–57.1203.5179–226.6
201937.320.4–58.7207.3177.3–229.3
202038.122.5–63205.3176.9–227.9
202139.826.1–54.4207.3189.4–228.8
20224525.4–64.1212.7186.6–234.9
202340.323.9–55.9208.3186.1–232.4
202443.329.5–64.3216.7191.8–240.5
202544.224.5–59.9212.9190.9–233.9
202644.322.5–67214175.7–236
202744.518.2–68.2214.4187.3–235.9
202845.423.3–70.2217.9191.7–234.6
202948.427.4–73.1214193–233.5
203047.826.8–74.8215.1189.6–236.7
203149.926.4–70.3217.8194.8–239.2
203250.425–75.3215.6188.8–241.2
203353.229.1–74.9217.3191.2–240.5
203451.430.2–72.8215.5193.5–241
20355128.1–75.7220.3192.4–241.1
203650.925.8–79.3217.1193.6–243.4
203760.830–84.2224.3198.3–242.7
203860.135.1–86.1222.3194.3–251
203956.536.2–81.3219.2196.6–247.4
204054.231.5–91.5223.3201–245.1
20416539.9–87.6225.1204.4–245.5
20426137–84.8226199.1–248.7
204356.936.2–84.4223.1202.4–244.4
204462.538.5–92.4226.3197.8–250.4
20456638.2–93.7226.9202.5–248.2
204667.336.4–92.2228.6199.3–250.6
204771.837.3–96.2232.2203.4–255.4
204867.544.2–94.9232.1208.4–251.3
204967.342.7–100.2228.3206.3–249.9
205062.941–102.8227.9204.5–253.3
205167.939.3–102.7225.8205–252.8
205275.641.4–107233.4204.7–262.2
205369.643.7–109.3228.5204.3–257.4
205472.942.2–107.6231.7207.6–260.8
205577.446.2–112.6235.2209.3–258.2
205675.246.8–112.7236.4209–259.9
205780.146.7–110.5238.9212.9–266.1
205876.444.6–105.3232.2209.6–263.7
205977.848.5–119.8238.6213–263.1
206081.649.8–115.6235.3213.6–260.9
206182.447.9–117.4239.6210.7–268.2
206273.847.7–115.8236.3210.8–264.6
206383.655.4–125.6238.3214.5–260.1
206480.148.8–114.1239215.2–265.3
206586.652.1–119239.8216.5–260
206679.854.4–119.2240.4219.8–269.8
20678152.6–119.3234.5212.7–260.9
206887.151.2–124.3239.3213.8–265.9
20699049.1–129.5241213–262.1
207082.945.1–131.3241.2213.9–266.1
207181.952.8–131.5239.6216.8–268.4
207289.453–124.2244.7222.5–271.9
207394.850–142.1243.1216.4–269.2
207483.553.4–142.6243.3216.9–272.6
207589.751.6–131.7244.5217.8–270
207696.257.8–132245219.7–267.6
207798.950.4–141.2249.7217.4–277.9
20789157.1–137.8247.1219.3–274.3
207994.156.6–139.9245218.1–272.2
2080103.354.6–141.4247.1219.9–274.3
208196.658.5–139.2244.6216.8–276.5
208298.855.7–136.5244.9220.3–276
208399.660.7–141.8249.3222.7–275.6
208498.557.3–141.8244.5220.6–274.1
2085108.660.6–148.6252.2220.4–277.5
2086102.359.9–144.7247221.5–277.6
208799.854.5–143.3243212.5–274.4
2088101.756.4–138245.7222.2–279.5
208989.560.4–138.3245.4217.4–278.8
209098.358.5–146.7249.8217.9–273.1
2091103.466.1–145.8249.3224.1–276.6
2092109.559.6–150.7250.8219.8–275.2
2093102.561.4–163.2249.4221.9–280.7
2094102.361.8–153.6252.8226.8–277.6
2095115.160.6–159.8251.7220.9–277.7
2096104.661.5–158.1251.6226.6–279.2
209796.659.8–152.6246.5221.7–275
209810959.4–154252.7226–275.1
2099107.653.7–164.1253.6226.7–282.1
2100110.666.8–162250.4223.5–278.7

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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