Brazil vs Pakistan

Brazil vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 99.8 days, or 6.3 times that in Brazil.

days a year · CMIP6

Brazil vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 18.8 days in Brazil and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 99.8 days, or 6.3 times that in Brazil.
BrazilPakistanCMIP6 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 Brazil at 80.8 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearBrazilPakistan
201418.8118.6
201321.8117.5
201219.5117.5
201119.6118
201015.4114.3
200916.6115.3
200814.6115.4
200711.6112.5
200612112.9
200514.2114.9
200416.2116.1
200315.5114.6
200212.4115.9
200116.1114.4
200013.5114.6
199911.4114.2
199812.8111.7
199711.7112
199610108.3
19958.8110
19949.1108.6
19937.8107.2
19925.6105.2
19918.5110.6
199013.3110.7
198910.2110.9
19889.7109.8
19879.4108.3
19869.9108.7
19857.5105.6
19847108
19836.4104.7
19828.5108
19819.4109.5
19808.1109.7
19799.1108.7
19789108.6
19778106.5
19766.9108.2
19756.8105
19747.1108.8
19737.3108
19727104.5
19715.8106.2
19706.7106.5
19696.9105.8
19686.4104.4
19676.4106.4
19666.4106.4
19656106
19645.9103
19634.9104.3
19627.2106.7
19617.5108.7
19607.8108.7
19597.5110.4
19587.9108.5
19578110.7
19566.9108.8
19558.6108.3
19548.3107
19536.8107.6
19527.2108.9
19517.2108.1
19507.7110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilPakistan
201518.56.9–38.8122100.8–136.6
201618.57–35.9119.5104.9–132
201719.47.7–41.4119.999.5–134.3
201819.87.6–41.4119.7103–133.8
2019218.9–47.1118.997.2–133.8
202021.98.7–43.2122.8105–136.3
202124.69.7–51.8122.9103.2–138.2
202223.410–51.2120.7101.9–136.4
202325.710.5–55.5123.3104.8–138.8
202427.713.3–51.1124.4105.4–139.1
202527.210.5–57.6123.8102.8–139.1
202624.48.1–53.1122.5101.9–141.8
202728.28.9–55.7124.4101.5–141
202829.411.9–61.9124.8103.6–140.2
202933.916.4–66.7126.499.2–141.6
203028.211.6–56.6122.5103.5–140.1
203135.315.2–70.7122.7105.6–139.9
203235.616.6–67.3126104–143.9
20333113.5–63.2125.9106.6–144.1
203431.214.1–75.1130.9113.2–147.8
203530.814.4–68127.1107.6–143.6
203632.413.7–58.7125.5108.3–143.4
203739.419.6–66.5130.7112.4–147.9
203838.215.4–71.3130.9108.6–144.9
203937.214.6–75.5128.6110.2–144.9
204038.518.6–76.2133.2115.1–146.1
204141.819.9–76.6127.2108.3–143.5
204239.917–86.1134.6112.8–150.7
204337.614.9–81.2131.6112.5–149.3
204438.416.1–84.4128.2108.1–145.9
204540.420.4–74.9133.4116.7–148.7
20465023.7–86.7133.8109–151.1
204743.522.9–86.4134.6110–150.9
204850.424.6–96.2136117.1–152.3
204949.823.9–90.2133.3115.2–152.5
205046.922–92.7138.4119.4–157.4
205147.324.9–95.6138115.5–158.2
205254.728.7–97.5138.3120.3–155.3
205347.122.6–92.3137.4117.7–155.8
205445.221.6–92.2137116–152.4
205552.228.6–103.8139.6120–157.2
205653.223.6–110.8135.8117.3–154.1
205750.620.2–94.7141.5119.5–158.8
205855.325–117.3137.1114.3–154.7
205961.229–118.5141.4122.6–156.6
20606531.1–111.3142.5124.1–158.6
206154.123.5–115.4142.3123.2–157.4
206254.924.7–127.7141.3118.8–161.2
206359.428.6–112.9143.1125.6–160.6
206454.828.7–106.1140.7119.8–163.5
206562.330.3–119.5141.1121.5–159.3
206662.330.6–113.5143.8122.5–163.4
206760.926.9–113.1144.2125.9–162.3
206866.730.1–119.7143.2126–162.2
206960.631.5–113.8144.7119.8–163.2
207059.932.1–124.8143.7126.5–163
207164.433.8–111145.5121.8–164.4
20726830.5–128.1147.1125.5–165.1
207372.736–127.6149.2122.1–164.7
207468.832.6–125.7145.8126.7–162.2
207567.832.7–116.4145.1126.2–160.5
207667.933.7–124.9145.7126.4–165.9
207772.535.5–128.9146.1126.2–164.4
20787336.7–132146.5121.4–164.4
207969.233.6–125.5144.6122.7–161
208067.834.9–122.2148.2123.7–166.4
208170.936.9–140.4145.8122.2–167
208270.640.7–125.8146123.3–168.8
208375.735.7–152.5148.3127–167.4
20847734.1–140.3150.5128.5–167.6
208583.937.2–147.8149.9126.1–170.8
208673.334.6–141146.3124.2–165
208778.439.2–144.2149.9124.3–167.3
208879.335.1–152149.3127.9–169.7
208975.239–146.4148.9129.6–166.7
209078.341.8–148.6150.3131.5–166.7
20918135.2–147.9151.1128.4–168.7
20927936.6–148150.5129.8–170.2
20937739.3–148.7151.6131.8–167.9
20947939.6–144.5151.5130.4–168.6
209588.636.5–155.9152.5130.6–169.2
209675.736.1–152.8150.8124.2–169
20977936.7–135.6149.4130.3–167.5
209882.737.9–166.4151.7125.4–168.2
209977.941–144.7151.6124.4–170.6
210080.840.2–141.3147.6125.2–167.5

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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