Brazil vs India

Brazil vs India: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 80.6 days in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 61.8 days, or 4.28 times that in Brazil.

days a year · CMIP6

Brazil vs India: Days above 35 °CDays above 35 °C in 2014: 18.8 days in Brazil and 80.6 days in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 61.8 days, or 4.28 times that in Brazil.
BrazilIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 India at 111.9 days in 2100.

Every year

days a year · CMIP6

YearBrazilIndia
201418.880.6
201321.879.2
201219.581.3
201119.679.9
201015.480.8
200916.678.4
200814.677
200711.679
20061276.2
200514.279.9
200416.280.1
200315.576.9
200212.479.2
200116.180.1
200013.576.6
199911.477.1
199812.876.9
199711.775.4
19961072.1
19958.875.4
19949.176.3
19937.872.3
19925.668.7
19918.578.1
199013.376.7
198910.275.5
19889.773.9
19879.475.3
19869.976.8
19857.573
1984775.9
19836.474.1
19828.576.1
19819.476.3
19808.175.3
19799.174.4
1978974.4
1977874.6
19766.976
19756.871
19747.175.8
19737.377.9
1972771.1
19715.874.1
19706.773.7
19696.973.3
19686.472.2
19676.471.3
19666.475.3
1965673.7
19645.968.9
19634.970.4
19627.274.2
19617.575.4
19607.875.4
19597.577.9
19587.974.8
1957875.5
19566.975.6
19558.674.8
19548.375.3
19536.875.2
19527.276
19517.276.3
19507.776.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilIndia
201518.56.9–38.881.664.7–96
201618.57–35.98063.1–96.1
201719.47.7–41.479.461.7–95.3
201819.87.6–41.482.461.5–95.7
2019218.9–47.179.160.2–95.2
202021.98.7–43.282.262.4–99
202124.69.7–51.882.167.7–96.4
202223.410–51.283.962.8–100.3
202325.710.5–55.583.164–99.3
202427.713.3–51.184.766.4–100.3
202527.210.5–57.681.662.4–97.1
202624.48.1–53.184.866.1–101.3
202728.28.9–55.783.563.7–102
202829.411.9–61.982.862.9–99.9
202933.916.4–66.789.566–105.9
203028.211.6–56.684.265.7–100.2
203135.315.2–70.785.466.7–103.4
203235.616.6–67.385.665.5–105.3
20333113.5–63.283.865.8–99.8
203431.214.1–75.185.467.4–104.8
203530.814.4–6885.766.6–105.3
203632.413.7–58.784.565.5–101.8
203739.419.6–66.589.772.2–107.5
203838.215.4–71.390.269.1–107.1
203937.214.6–75.587.168.5–107.4
204038.518.6–76.287.566.6–106
204141.819.9–76.689.171.2–107.8
204239.917–86.195.475.7–112.9
204337.614.9–81.291.270.1–111.1
204438.416.1–84.490.471.6–110.9
204540.420.4–74.991.772–108.5
20465023.7–86.795.469.1–117
204743.522.9–86.494.272.6–113.5
204850.424.6–96.297.673.2–120.5
204949.823.9–90.295.173.8–117.5
205046.922–92.794.474.5–117
205147.324.9–95.694.775.8–114.7
205254.728.7–97.596.876.1–116.5
205347.122.6–92.394.673.9–116.7
205445.221.6–92.296.574.3–117
205552.228.6–103.899.175.7–118
205653.223.6–110.899.173.7–118.2
205750.620.2–94.7100.371.9–123.9
205855.325–117.397.775.1–121.5
205961.229–118.5102.380.5–127.4
20606531.1–111.310380.3–124.4
206154.123.5–115.4100.978.4–122.6
206254.924.7–127.7100.175.4–126.5
206359.428.6–112.9100.678.3–122.1
206454.828.7–106.110081–123.3
206562.330.3–119.5103.580.5–128.2
206662.330.6–113.5100.780.7–124.6
206760.926.9–113.199.678.4–126
206866.730.1–119.7102.780.1–130.1
206960.631.5–113.810477.5–128.1
207059.932.1–124.8101.179.7–125.6
207164.433.8–111105.581.4–132.1
20726830.5–128.1104.384.4–128.2
207372.736–127.6108.485.4–130
207468.832.6–125.7105.182.9–126.8
207567.832.7–116.4102.578.8–126
207667.933.7–124.9105.582.2–134.6
207772.535.5–128.9107.484.1–132.6
20787336.7–132107.382.8–127.7
207969.233.6–125.5105.379.7–127.2
208067.834.9–122.2109.784.5–135.9
208170.936.9–140.4108.986.2–134.4
208270.640.7–125.8105.783.4–133.6
208375.735.7–152.5110.287.8–135.8
20847734.1–140.3111.582.3–138.1
208583.937.2–147.8112.381.2–143.6
208673.334.6–141107.882.8–141.1
208778.439.2–144.2107.980.1–134
208879.335.1–152107.984.4–143.1
208975.239–146.4107.981.7–137.3
209078.341.8–148.6108.883.9–136.6
20918135.2–147.9113.486.9–144
20927936.6–148113.587.1–142.8
20937739.3–148.7108.482.7–144.8
20947939.6–144.5111.386.8–139.5
209588.636.5–155.9114.186.4–143.6
209675.736.1–152.810880.4–140.3
20977936.7–135.6110.385–137.8
209882.737.9–166.4113.687.7–141.1
209977.941–144.7112.585.3–137.7
210080.840.2–141.3111.986.8–138.7

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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