Côte d’Ivoire vs Niger

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

Days above 35 °C in 2014: 36.4 days in Côte d’Ivoire and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 172.7 days, or 5.75 times that in Côte d’Ivoire.

days a year · CMIP6

Côte d’Ivoire vs Niger: Days above 35 °CDays above 35 °C in 2014: 36.4 days in Côte d’Ivoire and 209.1 days in Niger, in the CMIP6 climate models’ median run. In 2014 the value was higher in Niger, by 172.7 days, or 5.75 times that in Côte d’Ivoire.
Côte d’IvoireNigerCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Niger 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 Niger at 242.2 days in 2100.

Every year

days a year · CMIP6

YearCôte d’IvoireNiger
201436.4209.1
201337.7205.4
201235206
201135.7207.1
201033.9205.9
200932.7204.2
200829.4204.4
200731201.3
200629.7198.7
200532.3200.6
200433.6199.3
200330.8201.3
200231.2202.4
200132.8201.1
200030.7197.9
199929.5196.9
199829.1192.7
199728.5197.8
199622194.5
199523.7193.7
199423.7193.1
199319.8186.1
199218.4187.1
199127.1195.9
199028.5192.7
198924.1192.9
198826.3190.4
198725.3190.2
198625.7196.3
198524.4189.1
198424.5189.6
198324.3189.7
198225.5187.5
198125.4190.9
198023.3191.8
197924.1189.1
197823.9186.3
197723.5190.8
197622.4189.5
197521.1185
197422.5184.8
197322.7192.4
197221.3189.8
197121.8186.7
197021.6188.9
196923.9184.3
196820.1188.6
196718.6183.6
196622.3185.4
196519.2185.7
196414.2181.4
196322.2179.4
196223.5189
196122.7186.5
196025.2194.1
195923.5190.2
195824.4186.8
195721.8194
195621.9188.3
195525188.8
195422.3189
195320.9188.3
195221188.4
195124.3190.5
195021.3189.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCôte d’IvoireNiger
201539.425–57.3205.1180.6–228.1
201635.216.8–50.3204.2180.2–222.1
20173620.5–51.5210.9185.3–233.6
201837.619–57.1206183.2–227.4
201937.320.4–58.7206.7178.9–231.2
202038.122.5–63207.9183.1–226.7
202139.826.1–54.4209189.8–228
20224525.4–64.1213190.1–231
202340.323.9–55.9207186.6–229.1
202443.329.5–64.3216.5197.3–234.6
202544.224.5–59.9214.6195.3–232
202644.322.5–67210.3178.5–235.6
202744.518.2–68.2216.5188.8–235.6
202845.423.3–70.2217188.5–233.4
202948.427.4–73.1218.1194.8–237.8
203047.826.8–74.8217.1191.5–237
203149.926.4–70.3215195.1–239.7
203250.425–75.3213.2192.1–232
203353.229.1–74.9217.2196.1–237
203451.430.2–72.8216.7191–240
20355128.1–75.7219.7195.8–235.8
203650.925.8–79.3216.2196–236.1
203760.830–84.2222.3199.9–240.2
203860.135.1–86.1219.5198.9–243.8
203956.536.2–81.3218.3195.6–242.5
204054.231.5–91.5218.7200.4–240.1
20416539.9–87.6222.2200.4–245
20426137–84.8222201.7–244.6
204356.936.2–84.4220.5198.6–236.4
204462.538.5–92.4218.2198.9–241.6
20456638.2–93.7222202–242
204667.336.4–92.2225.1198–243
204771.837.3–96.2229.1204.3–245.7
204867.544.2–94.9225.8200.7–247.3
204967.342.7–100.2222.4197.3–242.8
205062.941–102.8224.7203.3–246.8
205167.939.3–102.7224.6203.8–242.1
205275.641.4–107229.7204.6–252.7
205369.643.7–109.3225.2204.6–248.6
205472.942.2–107.6229199.7–252.3
205577.446.2–112.6230.7210.5–249.6
205675.246.8–112.7229.8199.3–254.5
205780.146.7–110.5231.1205.6–251.8
205876.444.6–105.3226.7203.5–249.9
205977.848.5–119.8233.3210.7–256
206081.649.8–115.6230.9206.7–251.3
206182.447.9–117.4232.3207.4–256.9
206273.847.7–115.8233211.8–254.7
206383.655.4–125.6228.8206.1–248.5
206480.148.8–114.1232.3207.9–252.9
206586.652.1–119233.4211.8–253.6
206679.854.4–119.2236.5212.7–261.5
20678152.6–119.3229.1206.5–253.3
206887.151.2–124.3233.9210.6–259.9
20699049.1–129.5233.2210.6–253.7
207082.945.1–131.3235.8209.1–254.8
207181.952.8–131.5237.9218.7–258.9
207289.453–124.2237.9218–259.8
207394.850–142.1235.1210–259.4
207483.553.4–142.6235.2212.8–261.3
207589.751.6–131.7239.3212.9–259.7
207696.257.8–132238.9215.3–262.6
207798.950.4–141.2242218.1–264
20789157.1–137.8241.4216.1–262.3
207994.156.6–139.9235.6213.1–259.6
2080103.354.6–141.4238.2215.8–263.6
208196.658.5–139.2240.1217.1–267.5
208298.855.7–136.5238215.5–261.3
208399.660.7–141.8242.5216.2–264
208498.557.3–141.8239.2214.3–261.4
2085108.660.6–148.6241.7216.6–264.8
2086102.359.9–144.7240.9220–270.6
208799.854.5–143.3236.9208.4–262.9
2088101.756.4–138236.9216.5–271.3
208989.560.4–138.3242.4215.5–267.5
209098.358.5–146.7242.1213.6–262.2
2091103.466.1–145.8241.3218.9–266.5
2092109.559.6–150.7245217.6–266.3
2093102.561.4–163.2242.2219.3–262.9
2094102.361.8–153.6245.1220.3–263.4
2095115.160.6–159.8244.1218.8–266.6
2096104.661.5–158.1241.9225.1–264.5
209796.659.8–152.6241.4218–265.6
209810959.4–154240.8215.3–263.5
2099107.653.7–164.1247.1221.7–265.4
2100110.666.8–162242.2221.3–266.4

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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