Mexico vs Saudi Arabia

Mexico vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 32.8 days in Mexico and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 132.9 days, or 5.05 times that in Mexico.

days a year · CMIP6

Mexico vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 32.8 days in Mexico and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 132.9 days, or 5.05 times that in Mexico.
MexicoSaudi 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 Mexico at 67.8 days and Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearMexicoSaudi Arabia
201432.8165.7
201331.6163.7
201230.4164.4
201130.5164.2
201031.8162.2
200930.6160
200830.7161.6
200729159.7
200628.6160.2
200529.2161
200429.4160.4
200327.2159.5
200227.8160.4
200129.6162
200027.9159.8
199926.4158.2
199827156.3
199726.7156.7
199625.7156.3
199525.1154.1
199424.1154.8
199321.9148.8
199220.9147
199126.5153.4
199026.5156.8
198924153.8
198823.9153.1
198725.7152.7
198624.1153.7
198521.9151
198422150
198320.7147.7
198222.1149.2
198123.4153.2
198022.5153
197924150.7
197822.5149.5
197722.8150.1
197622.2151.5
197521.3146.6
197422.6147.9
197321.7149.5
197222.5148.2
197121.2146.3
197022.3146.9
196923.1147.4
196821.7147.4
196722.8145.3
196621.9146.9
196520.3146.3
196420.6145.4
196322.1145.8
196222.7148.7
196123.5150.1
196023.2150.9
195923.7151
195822.9150.2
195722.3152.3
195622.8148.7
195523.1148.6
195422.1148.7
195322.5150.2
195221.4150.8
195122.1148.6
195022.3148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMexicoSaudi Arabia
201535.225.3–48.5168.1155.2–180.8
201633.924.5–44.6167.4155–178.2
201735.424.4–46.9166.4152.1–178.2
20183625.2–47.9167.1153.7–180.7
201936.726–51.6168.2153.9–180.5
202037.325.8–50.6169.6156.7–182
202137.726.7–51.1168.7155.3–180.5
202237.225.5–52169.6153.9–183.2
202338.426.6–52.5169.7155.9–184.9
202442.228.1–55.6170.4157.8–184.5
202539.627.6–53.3171.2159.4–181.9
202639.126.4–51.8173.2159.7–185.5
202737.926.5–53.6173.9159.3–185.4
202840.127.8–55.7172.8158.3–185.8
202941.727.6–56.7171157.4–183.8
203039.325.9–53174.4160.6–185.9
20314127.8–56.3175160.1–186.7
203242.527.6–55.9173.2160.2–185
203342.530.2–57.1176.3161.4–189.7
203440.427.8–56.6178.6164.5–193.4
203540.528.2–56.9176.1161.7–191.7
203641.428.9–55.3174.7162–187.2
203744.230–59.6177.3164.7–189.2
203845.130.6–59.7177.8163.1–191.7
20394732.9–63.1178.3165.1–192.5
204046.933.9–61.8178.6165.4–188.9
204144.530.9–60.8177.4162.3–190
204248.633.8–64.3180165.1–193.2
204346.632.5–63.4179.6161.2–192.6
204447.234.1–63.7180.4167.3–191
204548.333.7–65.3182.8167.9–195.9
20465035.6–64.3182168–195.8
204751.537.2–67182.6170–195
204850.235.3–67.1184.1169.5–199.4
204952.336.1–69.5182.9169.7–195.4
205050.234.4–66.5184.9170.6–196.8
205150.436.9–66.9185.3171.5–197.6
20525235.5–68.6184.2170–196.6
20535336.9–70.2181.7168.3–195.1
205452.835.8–69.3183.9167.9–197.3
205554.437.3–71.1187.7171.8–200.3
205652.837.6–69.6183.5168.6–196.2
205755.937–72186.6172.5–201.3
205851.536.7–70.5184.9169.7–198.2
205955.340.6–72.6184.3169.9–199.3
206055.739.5–73.4188.1174–198.7
206157.642.1–73.9187.6174–198.4
20625535.6–77186.9170.4–201.9
206357.641.7–77.2188.8174.6–201.8
206458.242.8–75187.2174.3–201.1
206559.540.3–79186.3171–200.8
206657.940.6–76.3188.6174.6–204.2
20675841.9–76.7190.8177.1–204.4
206860.343.2–79.1188.1176.8–201.4
206958.339.8–80.5189.2174–202.2
207060.239.8–80.8190.4177.1–204.1
207161.344.6–81.4193.2174.7–207.4
207263.144–80.9190.3174.7–203.7
207362.842.3–85.4192.8177.3–207.7
20746043.5–80.9189.9174.1–206.8
207560.842.2–80.8190.3174.8–206.1
207661.242.4–83.6190.9175–206.9
207760.843.2–79.8193.3176.6–206.1
207864.744.4–86.4192.2178.3–207.4
20796646.1–87.4192177.9–203.8
208064.744–84.6192.9177.3–209.4
208164.845.7–84.4193.1174.9–208
208263.643.2–82.2192.8177.3–208.2
208365.140.9–89.7194.3178.4–208.7
208465.446.4–86.3193.4181.1–208.4
208565.744.8–85.9193.9178.3–211
208664.644.8–85.1193.2177.7–211.5
208764.644.4–84.2194.6180.8–208.8
20886545.7–86.5195178.3–211.9
208966.644.2–87.9195.7180.6–209.9
209066.246–89194.9178.8–210.6
20916946.6–92.4195.9182.4–210.1
209267.746–86.5195.7181.2–210.7
209366.846.9–91.6194.4178.8–210.4
209467.546.7–92.1195.7181.7–209.9
209570.149.8–93.9196.2182.1–210.7
209668.547.9–91.7196.8178.8–213.1
209767.346–89.7195.2178–211.1
209871.348.2–95.2196.3177.7–212.9
209968.349.1–91.5195.3181.5–210.6
210067.846.4–88.6195.8182.5–210.3

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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