Bolivia vs Peru

Bolivia vs Peru: Days above 35 °C

Days above 35 °C in 2014: 21.5 days in Bolivia and 0.5 days in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 21 days, or 41 times that in Peru.

Watch it change on the map

days a year · CMIP6

Bolivia vs Peru: Days above 35 °CDays above 35 °C in 2014: 21.5 days in Bolivia and 0.5 days in Peru, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bolivia, by 21 days, or 41 times that in Peru.
BoliviaPeruCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bolivia 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 Peru at 18.6 days in 2100.

Every year

days a year · CMIP6

YearBoliviaPeru
201421.50.5
201322.10.6
2012210.6
201120.60.6
201016.60.2
200917.80.2
200814.80.2
200711.50.2
2006120.1
200512.80.1
200415.30.2
200315.60.2
200212.30.1
200116.40.2
200013.60.1
199910.80
199813.40.1
199713.60.1
199611.70
199511.30
199410.10
1993100
19927.10
199110.80.1
199014.80.1
198912.10
198811.80
198711.40
1986110
19859.50
19848.40
198380
198211.50
198112.30
1980100
197911.90
197811.60
19779.70
19768.10
19758.50
19748.10
19738.30
19728.30
19717.10
19708.20
19699.30
196880
19678.10
19667.10
19658.40
19647.60
19637.60
19629.10
19619.90
19608.20
195910.80
19588.70
19578.90
19568.30
195510.70
195490
1953100
1952100
19518.70
19508.60
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBoliviaPeru
201522.611.7–37.80.40–3.3
201619.69.1–36.50.50–2.9
201721.58.9–36.70.60–3.5
201821.58.9–38.30.60–4.3
201922.711.8–45.60.50–4
202026.411.2–41.30.70–4.5
20212812.4–49.31.10.1–5.8
202223.410.4–43.81.10–5.1
202325.512.4–45.11.20.1–7.7
202428.816.1–49.71.50.2–5.9
202529.313.1–50.61.30–9.9
202626.515.1–42.310–6.4
202731.38.4–51.11.90.1–8.8
202828.113.9–51.31.40.1–9.2
202932.617.1–52.91.80.2–9.8
20303011.9–54.51.80.1–10.8
203134.616.6–58.92.80.2–11.9
203236.515.8–54.22.50.3–9.3
203333.616.5–53.21.80.2–8
203433.318–58.52.50.4–13.7
203531.115.9–54.120.2–10.5
203633.117.6–54.21.80.2–9.1
203737.222.1–54.33.20.4–11.3
203838.118.7–55.83.10.3–10.4
203934.119.3–59.23.10.3–13.9
204039.219–62.62.70.3–15.1
204141.225.4–61.54.10.7–13.2
204239.220.9–59.530.3–14.1
204335.217.5–67.130.2–19.9
204439.520.9–63.93.10.2–16.6
204540.826.7–61.63.60.7–16.7
204645.628.2–64.661.3–19.8
204743.823.7–65.850.4–13.7
204845.328.5–74.16.60.8–22.7
20494927.1–76.56.10.6–20.9
205042.825.8–684.20.6–19.1
205144.229.2–75.56.20.7–22.1
205250.932.1–74.97.41.2–21.4
205341.827–67.75.21.2–18.7
205440.221.9–74.450.4–21.9
205545.626.1–85.56.11.2–28.8
205648.123.6–82.36.71–29
20574927.5–74.95.20.7–20
205850.527.2–89.481.6–34.1
205954.529.4–84.710.61.8–28.7
206057.228.4–86.210.41.5–27.8
206152.626.1–90.610.40.6–31.4
206247.328.2–9210.70.9–33.8
206354.529.6–81.88.61.8–27.7
20645528.9–84.67.51.9–26
206554.929.4–95.59.92.8–28.5
206653.332.8–82.88.81.7–24.9
206757.428.4–84.18.51.1–26.1
206860.933.3–92.391.5–29.3
206955.330.9–90.79.41.4–31.9
207053.233.5–97.710.72–36.9
20715730–88.113.52.2–33.3
207258.130.9–10112.41.4–40
207365.838.3–102.6152.4–39.6
207461.835.6–97.613.31.8–37.3
207560.930.1–96.313.61.2–37.5
207659.534.3–95.512.41.7–37.5
207761.636.2–95.212.32.6–35.9
207866.436.8–108.913.22–40.8
207958.834.7–91.812.72.1–34.8
208059.138.3–101.415.53.5–39
208164.141.8–102.5153.7–39.8
208265.237.5–93.512.12.3–31.5
208364.833.8–103.213.81.8–45.2
208461.735.7–100.715.41.7–44.9
208565.239.9–106.617.42.5–49.2
208665.532.2–113.313.82.4–51.5
208769.839.1–103.715.22.3–45.5
208872.237.7–118.119.32.2–51
208967.939–103.415.52.5–52.1
20907045.4–117.1154.3–42.7
209168.541.9–112.516.12.7–47.4
209269.236.7–108.8182–49.3
209370.540.5–111.414.32.4–54.2
209466.343.1–97.4153.1–38.1
209573.137.4–109.319.52.7–45.4
209665.638.9–112.718.33.4–48.4
209768.436.2–96.919.22.9–48.7
209871.741.5–128.9183.2–63.3
209972.440.6–118.316.73.3–44
210073.341.4–111.818.62.4–41.8

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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