Brazil vs Saudi Arabia

Brazil vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 146.9 days, or 8.8 times that in Brazil.

days a year · CMIP6

Brazil vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 18.8 days in Brazil and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 146.9 days, or 8.8 times that in Brazil.
BrazilSaudi 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 Brazil at 80.8 days and Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearBrazilSaudi Arabia
201418.8165.7
201321.8163.7
201219.5164.4
201119.6164.2
201015.4162.2
200916.6160
200814.6161.6
200711.6159.7
200612160.2
200514.2161
200416.2160.4
200315.5159.5
200212.4160.4
200116.1162
200013.5159.8
199911.4158.2
199812.8156.3
199711.7156.7
199610156.3
19958.8154.1
19949.1154.8
19937.8148.8
19925.6147
19918.5153.4
199013.3156.8
198910.2153.8
19889.7153.1
19879.4152.7
19869.9153.7
19857.5151
19847150
19836.4147.7
19828.5149.2
19819.4153.2
19808.1153
19799.1150.7
19789149.5
19778150.1
19766.9151.5
19756.8146.6
19747.1147.9
19737.3149.5
19727148.2
19715.8146.3
19706.7146.9
19696.9147.4
19686.4147.4
19676.4145.3
19666.4146.9
19656146.3
19645.9145.4
19634.9145.8
19627.2148.7
19617.5150.1
19607.8150.9
19597.5151
19587.9150.2
19578152.3
19566.9148.7
19558.6148.6
19548.3148.7
19536.8150.2
19527.2150.8
19517.2148.6
19507.7148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilSaudi Arabia
201518.56.9–38.8168.1155.2–180.8
201618.57–35.9167.4155–178.2
201719.47.7–41.4166.4152.1–178.2
201819.87.6–41.4167.1153.7–180.7
2019218.9–47.1168.2153.9–180.5
202021.98.7–43.2169.6156.7–182
202124.69.7–51.8168.7155.3–180.5
202223.410–51.2169.6153.9–183.2
202325.710.5–55.5169.7155.9–184.9
202427.713.3–51.1170.4157.8–184.5
202527.210.5–57.6171.2159.4–181.9
202624.48.1–53.1173.2159.7–185.5
202728.28.9–55.7173.9159.3–185.4
202829.411.9–61.9172.8158.3–185.8
202933.916.4–66.7171157.4–183.8
203028.211.6–56.6174.4160.6–185.9
203135.315.2–70.7175160.1–186.7
203235.616.6–67.3173.2160.2–185
20333113.5–63.2176.3161.4–189.7
203431.214.1–75.1178.6164.5–193.4
203530.814.4–68176.1161.7–191.7
203632.413.7–58.7174.7162–187.2
203739.419.6–66.5177.3164.7–189.2
203838.215.4–71.3177.8163.1–191.7
203937.214.6–75.5178.3165.1–192.5
204038.518.6–76.2178.6165.4–188.9
204141.819.9–76.6177.4162.3–190
204239.917–86.1180165.1–193.2
204337.614.9–81.2179.6161.2–192.6
204438.416.1–84.4180.4167.3–191
204540.420.4–74.9182.8167.9–195.9
20465023.7–86.7182168–195.8
204743.522.9–86.4182.6170–195
204850.424.6–96.2184.1169.5–199.4
204949.823.9–90.2182.9169.7–195.4
205046.922–92.7184.9170.6–196.8
205147.324.9–95.6185.3171.5–197.6
205254.728.7–97.5184.2170–196.6
205347.122.6–92.3181.7168.3–195.1
205445.221.6–92.2183.9167.9–197.3
205552.228.6–103.8187.7171.8–200.3
205653.223.6–110.8183.5168.6–196.2
205750.620.2–94.7186.6172.5–201.3
205855.325–117.3184.9169.7–198.2
205961.229–118.5184.3169.9–199.3
20606531.1–111.3188.1174–198.7
206154.123.5–115.4187.6174–198.4
206254.924.7–127.7186.9170.4–201.9
206359.428.6–112.9188.8174.6–201.8
206454.828.7–106.1187.2174.3–201.1
206562.330.3–119.5186.3171–200.8
206662.330.6–113.5188.6174.6–204.2
206760.926.9–113.1190.8177.1–204.4
206866.730.1–119.7188.1176.8–201.4
206960.631.5–113.8189.2174–202.2
207059.932.1–124.8190.4177.1–204.1
207164.433.8–111193.2174.7–207.4
20726830.5–128.1190.3174.7–203.7
207372.736–127.6192.8177.3–207.7
207468.832.6–125.7189.9174.1–206.8
207567.832.7–116.4190.3174.8–206.1
207667.933.7–124.9190.9175–206.9
207772.535.5–128.9193.3176.6–206.1
20787336.7–132192.2178.3–207.4
207969.233.6–125.5192177.9–203.8
208067.834.9–122.2192.9177.3–209.4
208170.936.9–140.4193.1174.9–208
208270.640.7–125.8192.8177.3–208.2
208375.735.7–152.5194.3178.4–208.7
20847734.1–140.3193.4181.1–208.4
208583.937.2–147.8193.9178.3–211
208673.334.6–141193.2177.7–211.5
208778.439.2–144.2194.6180.8–208.8
208879.335.1–152195178.3–211.9
208975.239–146.4195.7180.6–209.9
209078.341.8–148.6194.9178.8–210.6
20918135.2–147.9195.9182.4–210.1
20927936.6–148195.7181.2–210.7
20937739.3–148.7194.4178.8–210.4
20947939.6–144.5195.7181.7–209.9
209588.636.5–155.9196.2182.1–210.7
209675.736.1–152.8196.8178.8–213.1
20977936.7–135.6195.2178–211.1
209882.737.9–166.4196.3177.7–212.9
209977.941–144.7195.3181.5–210.6
210080.840.2–141.3195.8182.5–210.3

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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