Brazil vs Mexico

Brazil vs Mexico: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 32.8 days in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 14 days, or 1.74 times that in Brazil.

days a year · CMIP6

Brazil vs Mexico: Days above 35 °CDays above 35 °C in 2014: 18.8 days in Brazil and 32.8 days in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 14 days, or 1.74 times that in Brazil.
BrazilMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mexico has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 80.8 days and Mexico at 67.8 days in 2100.

Every year

days a year · CMIP6

YearBrazilMexico
201418.832.8
201321.831.6
201219.530.4
201119.630.5
201015.431.8
200916.630.6
200814.630.7
200711.629
20061228.6
200514.229.2
200416.229.4
200315.527.2
200212.427.8
200116.129.6
200013.527.9
199911.426.4
199812.827
199711.726.7
19961025.7
19958.825.1
19949.124.1
19937.821.9
19925.620.9
19918.526.5
199013.326.5
198910.224
19889.723.9
19879.425.7
19869.924.1
19857.521.9
1984722
19836.420.7
19828.522.1
19819.423.4
19808.122.5
19799.124
1978922.5
1977822.8
19766.922.2
19756.821.3
19747.122.6
19737.321.7
1972722.5
19715.821.2
19706.722.3
19696.923.1
19686.421.7
19676.422.8
19666.421.9
1965620.3
19645.920.6
19634.922.1
19627.222.7
19617.523.5
19607.823.2
19597.523.7
19587.922.9
1957822.3
19566.922.8
19558.623.1
19548.322.1
19536.822.5
19527.221.4
19517.222.1
19507.722.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilMexico
201518.56.9–38.835.225.3–48.5
201618.57–35.933.924.5–44.6
201719.47.7–41.435.424.4–46.9
201819.87.6–41.43625.2–47.9
2019218.9–47.136.726–51.6
202021.98.7–43.237.325.8–50.6
202124.69.7–51.837.726.7–51.1
202223.410–51.237.225.5–52
202325.710.5–55.538.426.6–52.5
202427.713.3–51.142.228.1–55.6
202527.210.5–57.639.627.6–53.3
202624.48.1–53.139.126.4–51.8
202728.28.9–55.737.926.5–53.6
202829.411.9–61.940.127.8–55.7
202933.916.4–66.741.727.6–56.7
203028.211.6–56.639.325.9–53
203135.315.2–70.74127.8–56.3
203235.616.6–67.342.527.6–55.9
20333113.5–63.242.530.2–57.1
203431.214.1–75.140.427.8–56.6
203530.814.4–6840.528.2–56.9
203632.413.7–58.741.428.9–55.3
203739.419.6–66.544.230–59.6
203838.215.4–71.345.130.6–59.7
203937.214.6–75.54732.9–63.1
204038.518.6–76.246.933.9–61.8
204141.819.9–76.644.530.9–60.8
204239.917–86.148.633.8–64.3
204337.614.9–81.246.632.5–63.4
204438.416.1–84.447.234.1–63.7
204540.420.4–74.948.333.7–65.3
20465023.7–86.75035.6–64.3
204743.522.9–86.451.537.2–67
204850.424.6–96.250.235.3–67.1
204949.823.9–90.252.336.1–69.5
205046.922–92.750.234.4–66.5
205147.324.9–95.650.436.9–66.9
205254.728.7–97.55235.5–68.6
205347.122.6–92.35336.9–70.2
205445.221.6–92.252.835.8–69.3
205552.228.6–103.854.437.3–71.1
205653.223.6–110.852.837.6–69.6
205750.620.2–94.755.937–72
205855.325–117.351.536.7–70.5
205961.229–118.555.340.6–72.6
20606531.1–111.355.739.5–73.4
206154.123.5–115.457.642.1–73.9
206254.924.7–127.75535.6–77
206359.428.6–112.957.641.7–77.2
206454.828.7–106.158.242.8–75
206562.330.3–119.559.540.3–79
206662.330.6–113.557.940.6–76.3
206760.926.9–113.15841.9–76.7
206866.730.1–119.760.343.2–79.1
206960.631.5–113.858.339.8–80.5
207059.932.1–124.860.239.8–80.8
207164.433.8–11161.344.6–81.4
20726830.5–128.163.144–80.9
207372.736–127.662.842.3–85.4
207468.832.6–125.76043.5–80.9
207567.832.7–116.460.842.2–80.8
207667.933.7–124.961.242.4–83.6
207772.535.5–128.960.843.2–79.8
20787336.7–13264.744.4–86.4
207969.233.6–125.56646.1–87.4
208067.834.9–122.264.744–84.6
208170.936.9–140.464.845.7–84.4
208270.640.7–125.863.643.2–82.2
208375.735.7–152.565.140.9–89.7
20847734.1–140.365.446.4–86.3
208583.937.2–147.865.744.8–85.9
208673.334.6–14164.644.8–85.1
208778.439.2–144.264.644.4–84.2
208879.335.1–1526545.7–86.5
208975.239–146.466.644.2–87.9
209078.341.8–148.666.246–89
20918135.2–147.96946.6–92.4
20927936.6–14867.746–86.5
20937739.3–148.766.846.9–91.6
20947939.6–144.567.546.7–92.1
209588.636.5–155.970.149.8–93.9
209675.736.1–152.868.547.9–91.7
20977936.7–135.667.346–89.7
209882.737.9–166.471.348.2–95.2
209977.941–144.768.349.1–91.5
210080.840.2–141.367.846.4–88.6

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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