Brazil vs Guatemala

Brazil vs Guatemala: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 16.9 days in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 1.9 days, or 1.11 times that in Guatemala.

days a year · CMIP6

Brazil vs Guatemala: Days above 35 °CDays above 35 °C in 2014: 18.8 days in Brazil and 16.9 days in Guatemala, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 1.9 days, or 1.11 times that in Guatemala.
BrazilGuatemalaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Brazil has been higher since 2011, when it overtook Guatemala.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Brazil at 80.8 days and Guatemala at 47.9 days in 2100.

Every year

days a year · CMIP6

YearBrazilGuatemala
201418.816.9
201321.815.5
201219.515.4
201119.614.9
201015.417.5
200916.613.6
200814.614.5
200711.615.2
20061214.5
200514.214.1
200416.213.7
200315.513.4
200212.413.5
200116.114.5
200013.512.9
199911.412.6
199812.811
199711.711.9
19961010.7
19958.89
19949.110.3
19937.811
19925.68.9
19918.512.5
199013.313.4
198910.210.6
19889.710.1
19879.410
19869.912.2
19857.58.2
198477.4
19836.49
19828.511.1
19819.412
19808.18.5
19799.110.9
197898.5
1977811
19766.910.3
19756.89
19747.110.5
19737.38.8
1972710.2
19715.87.9
19706.79.2
19696.910.1
19686.48.6
19676.48.1
19666.48.2
196567.4
19645.99.2
19634.99.6
19627.210.1
19617.510.6
19607.810
19597.59.5
19587.99.3
195789.3
19566.98.7
19558.69.9
19548.38.9
19536.89.2
19527.29.6
19517.28.6
19507.78.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilGuatemala
201518.56.9–38.819.39.9–31.9
201618.57–35.916.19.8–23.4
201719.47.7–41.417.98.3–27.3
201819.87.6–41.417.610–28.9
2019218.9–47.116.88.8–30.9
202021.98.7–43.219.29.2–30
202124.69.7–51.818.311–28.2
202223.410–51.220.211.8–31.7
202325.710.5–55.518.210.7–35.1
202427.713.3–51.123.112.3–35.2
202527.210.5–57.621.610.6–36
202624.48.1–53.119.59.8–35.1
202728.28.9–55.719.310.5–34.7
202829.411.9–61.921.711.2–40.8
202933.916.4–66.722.911.9–38
203028.211.6–56.6199–33.2
203135.315.2–70.720.111.1–36.5
203235.616.6–67.323.113–35.3
20333113.5–63.220.512.3–33.2
203431.214.1–75.121.610.3–38.1
203530.814.4–6822.211.8–31.9
203632.413.7–58.723.513.6–33.7
203739.419.6–66.525.114.3–37.8
203838.215.4–71.326.613.9–40.6
203937.214.6–75.526.514.9–41.2
204038.518.6–76.224.811.2–37.4
204141.819.9–76.622.411.3–40.7
204239.917–86.126.412–41.9
204337.614.9–81.226.815.7–50.1
204438.416.1–84.425.912.8–48
204540.420.4–74.926.412.9–47.2
20465023.7–86.730.916.1–47.6
204743.522.9–86.429.918.1–49
204850.424.6–96.228.816.9–44
204949.823.9–90.232.716.4–52.8
205046.922–92.727.819.1–43.8
205147.324.9–95.627.717.7–50.8
205254.728.7–97.532.917.9–52.1
205347.122.6–92.330.117.5–55.3
205445.221.6–92.230.818.1–49.5
205552.228.6–103.83219.4–52.4
205653.223.6–110.830.316.2–54
205750.620.2–94.732.416.5–52.3
205855.325–117.328.318.9–55.3
205961.229–118.536.220.3–55.5
20606531.1–111.336.619.7–57.2
206154.123.5–115.436.321.9–58.2
206254.924.7–127.733.217.3–62.6
206359.428.6–112.936.219.3–60.3
206454.828.7–106.136.120.6–55.1
206562.330.3–119.540.717.2–60.3
206662.330.6–113.537.722.4–58.7
206760.926.9–113.133.120.8–57.4
206866.730.1–119.739.626.6–57.4
206960.631.5–113.842.221–65.7
207059.932.1–124.839.319.3–58.4
207164.433.8–11140.523.2–62.5
20726830.5–128.14422.5–70.5
207372.736–127.644.826.3–67.1
207468.832.6–125.737.919–60.3
207567.832.7–116.441.122.5–67.1
207667.933.7–124.940.123.5–60.6
207772.535.5–128.938.719.4–65.5
20787336.7–13241.823.6–64.2
207969.233.6–125.546.120.5–67.8
208067.834.9–122.242.924.9–62.6
208170.936.9–140.442.825–65.8
208270.640.7–125.841.620.2–63.7
208375.735.7–152.539.921.5–70.8
20847734.1–140.344.125.4–73.9
208583.937.2–147.84623.7–72.1
208673.334.6–14138.521–70.1
208778.439.2–144.244.324.3–73.9
208879.335.1–15243.522.5–72.2
208975.239–146.437.323.7–68.2
209078.341.8–148.641.624.1–66
20918135.2–147.946.824.7–77.3
20927936.6–14849.628.3–70.8
20937739.3–148.743.626.5–76.4
20947939.6–144.54527.1–75.6
209588.636.5–155.946.223.2–75.6
209675.736.1–152.843.224.5–77.5
20977936.7–135.644.126.5–64.9
209882.737.9–166.449.823.6–84.5
209977.941–144.747.429.2–79.3
210080.840.2–141.347.924.4–79.7

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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