Brazil vs Paraguay

Brazil vs Paraguay: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 60 days in Paraguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Paraguay, by 41.2 days, or 3.19 times that in Brazil.

days a year · CMIP6

Brazil vs Paraguay: Days above 35 °CDays above 35 °C in 2014: 18.8 days in Brazil and 60 days in Paraguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Paraguay, by 41.2 days, or 3.19 times that in Brazil.
BrazilParaguayCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Paraguay 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 Paraguay at 120.8 days in 2100.

Every year

days a year · CMIP6

YearBrazilParaguay
201418.860
201321.856.6
201219.565.2
201119.651.7
201015.457.4
200916.653.4
200814.648.1
200711.645.2
20061243
200514.247.3
200416.249.5
200315.550.2
200212.449.2
200116.151.4
200013.546.3
199911.444.8
199812.847.3
199711.751
19961046.3
19958.839.7
19949.140.4
19937.840.4
19925.635.6
19918.537.8
199013.341.4
198910.244.9
19889.743.4
19879.444.3
19869.944.3
19857.540.1
1984738.2
19836.435.7
19828.540.6
19819.442.5
19808.142.8
19799.145.9
1978939.2
1977841.2
19766.937.6
19756.834.9
19747.138.1
19737.333.8
1972737.5
19715.834.1
19706.736.7
19696.938
19686.436.3
19676.433.9
19666.436.3
1965634.6
19645.930.1
19634.932
19627.238.7
19617.539.9
19607.838.2
19597.543
19587.937.4
1957836.6
19566.935.2
19558.640.8
19548.338.7
19536.841.5
19527.242.4
19517.240
19507.735.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBrazilParaguay
201518.56.9–38.86441–89.8
201618.57–35.954.136.3–80.2
201719.47.7–41.457.326.3–88
201819.87.6–41.454.725.5–91.4
2019218.9–47.161.538–92.7
202021.98.7–43.270.940.7–105.2
202124.69.7–51.875.939.5–103.4
202223.410–51.264.940–91.1
202325.710.5–55.562.644.4–93.5
202427.713.3–51.171.447.6–98.9
202527.210.5–57.669.845.6–93.4
202624.48.1–53.168.446.6–98
202728.28.9–55.776.941.6–111.4
202829.411.9–61.96633–98
202933.916.4–66.77438.5–110.3
203028.211.6–56.667.840.6–116.1
203135.315.2–70.771.742.8–105.9
203235.616.6–67.374.941.9–114.8
20333113.5–63.275.149.4–110
203431.214.1–75.171.651.1–113.7
203530.814.4–6877.542.3–109.1
203632.413.7–58.77451.1–108.2
203739.419.6–66.577.255.3–110.7
203838.215.4–71.376.653–103.5
203937.214.6–75.579.546.3–119.1
204038.518.6–76.281.156.5–118.4
204141.819.9–76.692.863.1–121.8
204239.917–86.181.450.8–111.6
204337.614.9–81.282.646.3–121.3
204438.416.1–84.484.450.8–126.5
204540.420.4–74.990.958.6–127.2
20465023.7–86.790.757.5–121.9
204743.522.9–86.493.351.3–126.4
204850.424.6–96.291.666.1–118.1
204949.823.9–90.2100.659.4–129.4
205046.922–92.784.457.3–119.8
205147.324.9–95.692.159.2–124.9
205254.728.7–97.510462.9–139.2
205347.122.6–92.387.950.3–117.4
205445.221.6–92.286.254.2–131.9
205552.228.6–103.889.748–127.2
205653.223.6–110.889.654–143.6
205750.620.2–94.798.366–138.6
205855.325–117.3101.363.2–138.3
205961.229–118.596.564.1–143
20606531.1–111.399.961.1–141.5
206154.123.5–115.410058.6–142.1
206254.924.7–127.798.572.3–132.2
206359.428.6–112.9110.874.7–142.7
206454.828.7–106.110461.7–149.3
206562.330.3–119.5103.360–145.2
206662.330.6–113.510673.5–140.3
206760.926.9–113.1108.270.5–150.3
206866.730.1–119.7107.670–157.3
206960.631.5–113.8112.568.9–151
207059.932.1–124.8105.365.2–150.9
207164.433.8–111101.758.2–142.3
20726830.5–128.110877.4–157.9
207372.736–127.611281.8–149.4
207468.832.6–125.7108.766.3–152.9
207567.832.7–116.4106.268.6–147.4
207667.933.7–124.9104.871.7–145.8
207772.535.5–128.9107.968.1–150.7
20787336.7–132114.676.9–159.9
207969.233.6–125.5107.265.9–152.2
208067.834.9–122.2109.172–162.4
208170.936.9–140.4115.377.7–149.9
208270.640.7–125.8110.770.7–148.6
208375.735.7–152.5109.169.9–149.8
20847734.1–140.3106.167.1–156.3
208583.937.2–147.8105.269–158.2
208673.334.6–141114.973.3–161.3
208778.439.2–144.2121.674.4–158.2
208879.335.1–152120.789.6–162.9
208975.239–146.4112.880.5–147.7
209078.341.8–148.6121.484.8–172.3
20918135.2–147.9121.181–169.9
20927936.6–14811985.5–165.6
20937739.3–148.7114.878.8–174.5
20947939.6–144.5113.182.2–160.4
209588.636.5–155.9123.873.1–171.1
209675.736.1–152.8113.574.2–166.3
20977936.7–135.6115.982.3–150.2
209882.737.9–166.4117.681.6–168.1
209977.941–144.7121.570.9–171.1
210080.840.2–141.3120.876.1–182.7

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

Brazil vs Paraguay

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