Mexico vs Pakistan

Mexico vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 32.8 days in Mexico and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 85.8 days, or 3.62 times that in Mexico.

days a year · CMIP6

Mexico vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 32.8 days in Mexico and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 85.8 days, or 3.62 times that in Mexico.
MexicoPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan 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 Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearMexicoPakistan
201432.8118.6
201331.6117.5
201230.4117.5
201130.5118
201031.8114.3
200930.6115.3
200830.7115.4
200729112.5
200628.6112.9
200529.2114.9
200429.4116.1
200327.2114.6
200227.8115.9
200129.6114.4
200027.9114.6
199926.4114.2
199827111.7
199726.7112
199625.7108.3
199525.1110
199424.1108.6
199321.9107.2
199220.9105.2
199126.5110.6
199026.5110.7
198924110.9
198823.9109.8
198725.7108.3
198624.1108.7
198521.9105.6
198422108
198320.7104.7
198222.1108
198123.4109.5
198022.5109.7
197924108.7
197822.5108.6
197722.8106.5
197622.2108.2
197521.3105
197422.6108.8
197321.7108
197222.5104.5
197121.2106.2
197022.3106.5
196923.1105.8
196821.7104.4
196722.8106.4
196621.9106.4
196520.3106
196420.6103
196322.1104.3
196222.7106.7
196123.5108.7
196023.2108.7
195923.7110.4
195822.9108.5
195722.3110.7
195622.8108.8
195523.1108.3
195422.1107
195322.5107.6
195221.4108.9
195122.1108.1
195022.3110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMexicoPakistan
201535.225.3–48.5122100.8–136.6
201633.924.5–44.6119.5104.9–132
201735.424.4–46.9119.999.5–134.3
20183625.2–47.9119.7103–133.8
201936.726–51.6118.997.2–133.8
202037.325.8–50.6122.8105–136.3
202137.726.7–51.1122.9103.2–138.2
202237.225.5–52120.7101.9–136.4
202338.426.6–52.5123.3104.8–138.8
202442.228.1–55.6124.4105.4–139.1
202539.627.6–53.3123.8102.8–139.1
202639.126.4–51.8122.5101.9–141.8
202737.926.5–53.6124.4101.5–141
202840.127.8–55.7124.8103.6–140.2
202941.727.6–56.7126.499.2–141.6
203039.325.9–53122.5103.5–140.1
20314127.8–56.3122.7105.6–139.9
203242.527.6–55.9126104–143.9
203342.530.2–57.1125.9106.6–144.1
203440.427.8–56.6130.9113.2–147.8
203540.528.2–56.9127.1107.6–143.6
203641.428.9–55.3125.5108.3–143.4
203744.230–59.6130.7112.4–147.9
203845.130.6–59.7130.9108.6–144.9
20394732.9–63.1128.6110.2–144.9
204046.933.9–61.8133.2115.1–146.1
204144.530.9–60.8127.2108.3–143.5
204248.633.8–64.3134.6112.8–150.7
204346.632.5–63.4131.6112.5–149.3
204447.234.1–63.7128.2108.1–145.9
204548.333.7–65.3133.4116.7–148.7
20465035.6–64.3133.8109–151.1
204751.537.2–67134.6110–150.9
204850.235.3–67.1136117.1–152.3
204952.336.1–69.5133.3115.2–152.5
205050.234.4–66.5138.4119.4–157.4
205150.436.9–66.9138115.5–158.2
20525235.5–68.6138.3120.3–155.3
20535336.9–70.2137.4117.7–155.8
205452.835.8–69.3137116–152.4
205554.437.3–71.1139.6120–157.2
205652.837.6–69.6135.8117.3–154.1
205755.937–72141.5119.5–158.8
205851.536.7–70.5137.1114.3–154.7
205955.340.6–72.6141.4122.6–156.6
206055.739.5–73.4142.5124.1–158.6
206157.642.1–73.9142.3123.2–157.4
20625535.6–77141.3118.8–161.2
206357.641.7–77.2143.1125.6–160.6
206458.242.8–75140.7119.8–163.5
206559.540.3–79141.1121.5–159.3
206657.940.6–76.3143.8122.5–163.4
20675841.9–76.7144.2125.9–162.3
206860.343.2–79.1143.2126–162.2
206958.339.8–80.5144.7119.8–163.2
207060.239.8–80.8143.7126.5–163
207161.344.6–81.4145.5121.8–164.4
207263.144–80.9147.1125.5–165.1
207362.842.3–85.4149.2122.1–164.7
20746043.5–80.9145.8126.7–162.2
207560.842.2–80.8145.1126.2–160.5
207661.242.4–83.6145.7126.4–165.9
207760.843.2–79.8146.1126.2–164.4
207864.744.4–86.4146.5121.4–164.4
20796646.1–87.4144.6122.7–161
208064.744–84.6148.2123.7–166.4
208164.845.7–84.4145.8122.2–167
208263.643.2–82.2146123.3–168.8
208365.140.9–89.7148.3127–167.4
208465.446.4–86.3150.5128.5–167.6
208565.744.8–85.9149.9126.1–170.8
208664.644.8–85.1146.3124.2–165
208764.644.4–84.2149.9124.3–167.3
20886545.7–86.5149.3127.9–169.7
208966.644.2–87.9148.9129.6–166.7
209066.246–89150.3131.5–166.7
20916946.6–92.4151.1128.4–168.7
209267.746–86.5150.5129.8–170.2
209366.846.9–91.6151.6131.8–167.9
209467.546.7–92.1151.5130.4–168.6
209570.149.8–93.9152.5130.6–169.2
209668.547.9–91.7150.8124.2–169
209767.346–89.7149.4130.3–167.5
209871.348.2–95.2151.7125.4–168.2
209968.349.1–91.5151.6124.4–170.6
210067.846.4–88.6147.6125.2–167.5

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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