Mexico vs Sudan

Mexico vs Sudan: Days above 35 °C

Days above 35 °C in 2014: 32.8 days in Mexico and 184 days in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 151.2 days, or 5.61 times that in Mexico.

days a year · CMIP6

Mexico vs Sudan: Days above 35 °CDays above 35 °C in 2014: 32.8 days in Mexico and 184 days in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 151.2 days, or 5.61 times that in Mexico.
MexicoSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Mexico at 67.8 days and Sudan at 230.7 days in 2100.

Every year

days a year · CMIP6

YearMexicoSudan
201432.8184
201331.6179.8
201230.4180.9
201130.5183.5
201031.8181.3
200930.6175.7
200830.7173.9
200729171.9
200628.6171.2
200529.2169.5
200429.4171.6
200327.2172.7
200227.8173.6
200129.6177.8
200027.9170.3
199926.4170.7
199827166
199726.7169.3
199625.7165.5
199525.1165.1
199424.1162.2
199321.9154.5
199220.9154.3
199126.5165.3
199026.5166.6
198924164.1
198823.9164.2
198725.7163.3
198624.1166.1
198521.9159.7
198422158
198320.7157
198222.1155.1
198123.4162.1
198022.5161.1
197924160.4
197822.5155.5
197722.8157.9
197622.2157.3
197521.3153.9
197422.6155.3
197321.7161.4
197222.5156.2
197121.2153.4
197022.3156.8
196923.1153.8
196821.7154.6
196722.8148.4
196621.9153
196520.3154.2
196420.6148.7
196322.1146.1
196222.7155.9
196123.5158.5
196023.2161.3
195923.7158.4
195822.9156.7
195722.3159.4
195622.8157.7
195523.1154.7
195422.1158.7
195322.5156.3
195221.4156.1
195122.1158.9
195022.3155.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMexicoSudan
201535.225.3–48.5183.4158.5–201.6
201633.924.5–44.6179.1156.3–200.8
201735.424.4–46.9184.1159.3–204.4
20183625.2–47.9178.9156–204.1
201936.726–51.6181.9158.3–204.8
202037.325.8–50.6182.3159.2–205.5
202137.726.7–51.1183.1159.4–206.8
202237.225.5–52187.9165.4–207.6
202338.426.6–52.5185.3162.7–207.9
202442.228.1–55.6192.2168–211.3
202539.627.6–53.3188.6166.8–209.3
202639.126.4–51.8188.5157.9–211.8
202737.926.5–53.6189.2157–211.6
202840.127.8–55.7189.6162.9–211.3
202941.727.6–56.7190.4166.6–209.3
203039.325.9–53191.6170.8–214.6
20314127.8–56.3192.2167.3–218
203242.527.6–55.9191.2169.9–210.3
203342.530.2–57.1195.3172.4–216.8
203440.427.8–56.6197.1168.8–222.4
203540.528.2–56.9196.4168.7–221.2
203641.428.9–55.3191.3171.4–213.6
203744.230–59.6198173.5–220.2
203845.130.6–59.7200.4179.8–221.2
20394732.9–63.1199.5171.5–218.6
204046.933.9–61.8196.3172.7–217.9
204144.530.9–60.8202.2174.1–221.8
204248.633.8–64.3201.6175.8–224.1
204346.632.5–63.4198.7169.7–224.3
204447.234.1–63.7198.3173.4–222.2
204548.333.7–65.3203.4179.1–224.6
20465035.6–64.3210.2177.8–229.9
204751.537.2–67206.2180.9–228.4
204850.235.3–67.1204.6180–231.3
204952.336.1–69.5204.3178.2–227.3
205050.234.4–66.5205.3180.8–234.5
205150.436.9–66.9206.2186–229.8
20525235.5–68.6209182–231.9
20535336.9–70.2208.7181.2–230.7
205452.835.8–69.3211180.1–231.4
205554.437.3–71.1212.3184–233.5
205652.837.6–69.6208.5182.4–235.7
205755.937–72213.2186.4–240.1
205851.536.7–70.5213.4183–233.4
205955.340.6–72.6214.6189.2–242.4
206055.739.5–73.4213.7189.1–241.7
206157.642.1–73.9214.5186.1–239.4
20625535.6–77214.4187–241.2
206357.641.7–77.2212.5181.1–235.9
206458.242.8–75214.9189.9–242.2
206559.540.3–79217.2195.4–238.5
206657.940.6–76.3217.1190.9–246.3
20675841.9–76.7216.5188.1–243.9
206860.343.2–79.1216.7193.9–247.6
206958.339.8–80.5216.1187.6–243.2
207060.239.8–80.8219.4189.5–241.3
207161.344.6–81.4224.1190.5–247.8
207263.144–80.9222.3196.2–245.1
207362.842.3–85.4221.8196.1–246.8
20746043.5–80.9218.1183.5–249
207560.842.2–80.8221.9188.6–243.6
207661.242.4–83.6222.4196.4–250.8
207760.843.2–79.8225.8194.6–252.8
207864.744.4–86.4224.1196.8–250.7
20796646.1–87.4220.7194.1–245.3
208064.744–84.6225.9191.3–250
208164.845.7–84.4225.1197.7–250.3
208263.643.2–82.2222.6195.3–249.8
208365.140.9–89.7228.1199.6–251.9
208465.446.4–86.3224.5194.9–252.9
208565.744.8–85.9226.3199.3–251.5
208664.644.8–85.1225.2193.1–258.3
208764.644.4–84.2222.9190.2–250.1
20886545.7–86.5220.4194.2–256.8
208966.644.2–87.9227195.7–249.8
209066.246–89229198.7–254.5
20916946.6–92.4227196.4–254.1
209267.746–86.5227.2200.5–253.1
209366.846.9–91.6227.5203–252.1
209467.546.7–92.1231.9201.3–256
209570.149.8–93.9228.4202.1–255
209668.547.9–91.7226.4198.4–255.9
209767.346–89.7225.9196.5–255.7
209871.348.2–95.2227.8194.4–253.4
209968.349.1–91.5229.5200.7–257.4
210067.846.4–88.6230.7199.7–256.7

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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