Bolivia vs Paraguay

Bolivia vs Paraguay: Days above 35 °C

Days above 35 °C in 2014: 21.5 days in Bolivia and 60 days in Paraguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Paraguay, by 38.5 days, or 2.79 times that in Bolivia.

days a year · CMIP6

Bolivia vs Paraguay: Days above 35 °CDays above 35 °C in 2014: 21.5 days in Bolivia and 60 days in Paraguay, in the CMIP6 climate models’ median run. In 2014 the value was higher in Paraguay, by 38.5 days, or 2.79 times that in Bolivia.
BoliviaParaguayCMIP6 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 Bolivia at 73.3 days and Paraguay at 120.8 days in 2100.

Every year

days a year · CMIP6

YearBoliviaParaguay
201421.560
201322.156.6
20122165.2
201120.651.7
201016.657.4
200917.853.4
200814.848.1
200711.545.2
20061243
200512.847.3
200415.349.5
200315.650.2
200212.349.2
200116.451.4
200013.646.3
199910.844.8
199813.447.3
199713.651
199611.746.3
199511.339.7
199410.140.4
19931040.4
19927.135.6
199110.837.8
199014.841.4
198912.144.9
198811.843.4
198711.444.3
19861144.3
19859.540.1
19848.438.2
1983835.7
198211.540.6
198112.342.5
19801042.8
197911.945.9
197811.639.2
19779.741.2
19768.137.6
19758.534.9
19748.138.1
19738.333.8
19728.337.5
19717.134.1
19708.236.7
19699.338
1968836.3
19678.133.9
19667.136.3
19658.434.6
19647.630.1
19637.632
19629.138.7
19619.939.9
19608.238.2
195910.843
19588.737.4
19578.936.6
19568.335.2
195510.740.8
1954938.7
19531041.5
19521042.4
19518.740
19508.635.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaParaguay
201522.611.7–37.86441–89.8
201619.69.1–36.554.136.3–80.2
201721.58.9–36.757.326.3–88
201821.58.9–38.354.725.5–91.4
201922.711.8–45.661.538–92.7
202026.411.2–41.370.940.7–105.2
20212812.4–49.375.939.5–103.4
202223.410.4–43.864.940–91.1
202325.512.4–45.162.644.4–93.5
202428.816.1–49.771.447.6–98.9
202529.313.1–50.669.845.6–93.4
202626.515.1–42.368.446.6–98
202731.38.4–51.176.941.6–111.4
202828.113.9–51.36633–98
202932.617.1–52.97438.5–110.3
20303011.9–54.567.840.6–116.1
203134.616.6–58.971.742.8–105.9
203236.515.8–54.274.941.9–114.8
203333.616.5–53.275.149.4–110
203433.318–58.571.651.1–113.7
203531.115.9–54.177.542.3–109.1
203633.117.6–54.27451.1–108.2
203737.222.1–54.377.255.3–110.7
203838.118.7–55.876.653–103.5
203934.119.3–59.279.546.3–119.1
204039.219–62.681.156.5–118.4
204141.225.4–61.592.863.1–121.8
204239.220.9–59.581.450.8–111.6
204335.217.5–67.182.646.3–121.3
204439.520.9–63.984.450.8–126.5
204540.826.7–61.690.958.6–127.2
204645.628.2–64.690.757.5–121.9
204743.823.7–65.893.351.3–126.4
204845.328.5–74.191.666.1–118.1
20494927.1–76.5100.659.4–129.4
205042.825.8–6884.457.3–119.8
205144.229.2–75.592.159.2–124.9
205250.932.1–74.910462.9–139.2
205341.827–67.787.950.3–117.4
205440.221.9–74.486.254.2–131.9
205545.626.1–85.589.748–127.2
205648.123.6–82.389.654–143.6
20574927.5–74.998.366–138.6
205850.527.2–89.4101.363.2–138.3
205954.529.4–84.796.564.1–143
206057.228.4–86.299.961.1–141.5
206152.626.1–90.610058.6–142.1
206247.328.2–9298.572.3–132.2
206354.529.6–81.8110.874.7–142.7
20645528.9–84.610461.7–149.3
206554.929.4–95.5103.360–145.2
206653.332.8–82.810673.5–140.3
206757.428.4–84.1108.270.5–150.3
206860.933.3–92.3107.670–157.3
206955.330.9–90.7112.568.9–151
207053.233.5–97.7105.365.2–150.9
20715730–88.1101.758.2–142.3
207258.130.9–10110877.4–157.9
207365.838.3–102.611281.8–149.4
207461.835.6–97.6108.766.3–152.9
207560.930.1–96.3106.268.6–147.4
207659.534.3–95.5104.871.7–145.8
207761.636.2–95.2107.968.1–150.7
207866.436.8–108.9114.676.9–159.9
207958.834.7–91.8107.265.9–152.2
208059.138.3–101.4109.172–162.4
208164.141.8–102.5115.377.7–149.9
208265.237.5–93.5110.770.7–148.6
208364.833.8–103.2109.169.9–149.8
208461.735.7–100.7106.167.1–156.3
208565.239.9–106.6105.269–158.2
208665.532.2–113.3114.973.3–161.3
208769.839.1–103.7121.674.4–158.2
208872.237.7–118.1120.789.6–162.9
208967.939–103.4112.880.5–147.7
20907045.4–117.1121.484.8–172.3
209168.541.9–112.5121.181–169.9
209269.236.7–108.811985.5–165.6
209370.540.5–111.4114.878.8–174.5
209466.343.1–97.4113.182.2–160.4
209573.137.4–109.3123.873.1–171.1
209665.638.9–112.7113.574.2–166.3
209768.436.2–96.9115.982.3–150.2
209871.741.5–128.9117.681.6–168.1
209972.440.6–118.3121.570.9–171.1
210073.341.4–111.8120.876.1–182.7

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

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