Bangladesh vs Kenya

Bangladesh vs Kenya: Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 48.1 days in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 28.7 days, or 2.48 times that in Bangladesh.

days a year · CMIP6

Bangladesh vs Kenya: Days above 35 °CDays above 35 °C in 2014: 19.4 days in Bangladesh and 48.1 days in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 28.7 days, or 2.48 times that in Bangladesh.
BangladeshKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 56.8 days and Kenya at 103.7 days in 2100.

Every year

days a year · CMIP6

YearBangladeshKenya
201419.448.1
201314.146.4
20121745.5
201113.446.4
201016.945.5
200914.440.9
20081440.8
200714.339.2
200617.842
200516.142.9
200414.741.8
200315.941
200217.742.7
200116.943.4
200016.639.6
199915.640.9
199815.439.7
199716.838.8
199614.235.3
199513.234.3
199415.232.9
199312.428.5
1992828.2
199118.835.1
199018.534.1
198913.734.5
198813.533.9
198717.935.9
198617.935.5
198514.431.2
19841931
198314.630.2
198216.333.9
198115.434.6
198014.536.4
197916.734.4
19781531.8
197714.130.5
197617.528.6
197514.429.7
197417.330.4
19731729.1
197215.728.4
197116.928.1
197016.527
196915.529
196816.225.7
196713.526.9
196615.625.8
196515.424.4
196414.720.8
196316.125.7
196219.128.8
19611830.9
196019.229.5
19591830.4
195817.528
195718.130.7
195619.228.9
195516.930.2
195419.430
19532131
195217.229.8
195119.930.1
195022.330.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshKenya
201517.85.5–30.250.131.1–66.1
201617.53.9–31.549.230.5–67.3
201714.14.8–2950.228.4–68.7
201813.92–315033.4–67.3
201914.93.9–2849.431.2–67.4
202014.94.1–36.353.533.4–75.7
202117.25.6–3352.434.3–69.5
202217.21.4–36.651.825–70.5
202318.16.6–32.255.535.3–80
202421.24.9–36.660.738.5–78.7
202516.73.9–36.855.236.8–74.4
202618.36.7–3455.435.2–86.2
202718.33.5–38.25634.2–77.5
202818.64.2–33.256.731.5–80.6
202918.22.2–34.959.535.1–79.7
2030174.6–31.357.940.5–79.9
2031153.9–32.164.244.3–83.9
203219.33.2–34.358.839.6–81.3
203317.53.9–3263.639.2–87.1
203416.24–29.362.339.2–84.6
203516.26.6–31.661.636.8–84.1
203617.76.3–36.659.840.3–84.7
203720.65.7–39.163.740.4–91.7
203821.96.6–38.563.235.1–89.5
203921.45.1–43.265.540.6–88.4
204022.86–48.864.144.3–84.7
204119.44.7–44.569.847.4–98.8
204222.86.3–50.671.147–95.3
204325.17.2–4766.640.7–91.1
204424.77.9–4569.243–91.5
204524.110–42.57049.2–100.3
204628.57.8–55.776.643.2–107.2
204726.47.4–50.674.249.2–103.8
204830.28–52.972.847.4–102.8
204929.511.3–54.178.548.6–107.8
205026.810.4–47.87250–107.2
205132.713.4–54.379.352.5–111
205229.313–59.879.550.7–104.4
205326.79.4–54.972.944.3–104.5
205429.910.9–57.773.142.1–99.6
205534.613.5–60.880.450.6–105.6
205634.215.2–5976.247–111.2
20573912.3–72.881.352.9–109.1
205838.917–69.978.950–112.4
205935.914.6–6683.351.3–115.7
206036.818.6–65.385.749.3–116.5
206138.919.6–65.985.354.7–115.1
206235.115.8–63.885.355.1–116.5
206342.114.5–66.984.254.2–110.1
206437.317–62.787.448.2–113.7
206535.618.5–60.286.855.1–123.7
206635.812.3–64.783.857–115
206732.612.9–61.88955.6–119.5
206840.717.5–76.487.751.4–117.1
206943.915.7–73.38653.8–118.3
207033.714.7–6386.150.8–121
207142.817.7–73.991.757.9–123.6
207242.718.2–68.191.461.3–123.1
207344.423.8–82.391.458.5–127.3
20744214.1–71.687.855.2–124.3
207541.515.2–70.189.853.7–127.4
207639.914.1–81.297.664.7–134.6
207742.723.6–83.697.755.7–131.4
207844.424.7–79.290.260.9–124.7
207943.923.1–74.79463.2–125.8
208052.224.5–8396.157.8–132.4
208150.628.6–8399.766.8–136.7
208249.322.9–92.199.458.5–131.7
208349.218.9–88.7100.263.9–137.5
208450.421.6–92.69967.9–133.8
208549.920.5–104.599.259.2–137.4
208650.922.5–100.6104.457.4–142.5
208753.125–82.199.762.4–134.4
208846.314.7–108.498.761–135.2
208952.722.8–107.697.966–126.9
209055.216.3–89.2101.468.5–136
209151.331.2–98104.465.5–141.4
209255.422.1–101.299.759.8–137.8
209347.718.8–94.6105.971.9–140.7
209451.225.3–87.3107.369.1–137.3
209557.624.4–95.1106.367.5–142.4
209650.820–91.8105.461.5–142.2
209748.923.7–96105.161.4–139.2
209852.926.4–94.7104.861.9–140.8
209948.722.9–82103.362.5–145.4
210056.822.9–95.8103.757.3–139.4

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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