Bangladesh vs Sri Lanka

Bangladesh vs Sri Lanka: Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 17.9 days in Sri Lanka, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 1.5 days, or 1.08 times that in Sri Lanka.

days a year · CMIP6

Bangladesh vs Sri Lanka: Days above 35 °CDays above 35 °C in 2014: 19.4 days in Bangladesh and 17.9 days in Sri Lanka, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 1.5 days, or 1.08 times that in Sri Lanka.
BangladeshSri LankaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bangladesh has been higher since 2014, when it overtook Sri Lanka.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 56.8 days and Sri Lanka at 63.4 days in 2100.

Every year

days a year · CMIP6

YearBangladeshSri Lanka
201419.417.9
201314.118.7
20121719.2
201113.419.4
201016.919.4
200914.416.7
20081417
200714.319
200617.815.4
200516.118
200414.717.4
200315.918.5
200217.715.3
200116.917
200016.614.4
199915.613.9
199815.415.2
199716.815
199614.212.3
199513.211.5
199415.211.2
199312.410.7
199287.3
199118.814.6
199018.513.9
198913.714.4
198813.511.5
198717.910.3
198617.914.4
198514.49
19841912.6
198314.611
198216.312.1
198115.411.8
198014.511.8
197916.711.9
19781510.5
197714.112.6
197617.59.4
197514.49.4
197417.310.8
19731712.7
197215.710.5
197116.910.3
197016.59.7
196915.510.6
196816.28.8
196713.58.1
196615.610.9
196515.49
196414.78.2
196316.17.5
196219.111.1
19611813
196019.212.2
19591811.9
195817.511.3
195718.19.3
195619.210.7
195516.911.8
195419.411.1
19532110.8
195217.211.7
195119.912.1
195022.311.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshSri Lanka
201517.85.5–30.219.410–31.3
201617.53.9–31.519.510.9–33.8
201714.14.8–2922.610.7–32.7
201813.92–3121.59.4–33.7
201914.93.9–2819.39.7–33.7
202014.94.1–36.322.111.9–36
202117.25.6–3325.214.3–38.4
202217.21.4–36.628.416.3–39.6
202318.16.6–32.224.614.8–38.6
202421.24.9–36.625.712.7–38.4
202516.73.9–36.822.812.9–37.4
202618.36.7–3426.413.2–41.9
202718.33.5–38.225.415.8–38.8
202818.64.2–33.225.713.8–38.8
202918.22.2–34.929.916–43.6
2030174.6–31.328.316–42.1
2031153.9–32.129.317.2–41.8
203219.33.2–34.330.917.4–50.2
203317.53.9–3229.916.2–41.1
203416.24–29.330.117–47.7
203516.26.6–31.629.318.7–46.6
203617.76.3–36.631.619.1–43
203720.65.7–39.13421.1–51.1
203821.96.6–38.535.220.6–50.1
203921.45.1–43.23423.6–47
204022.86–48.836.720.4–53.8
204119.44.7–44.53824–54.5
204222.86.3–50.638.122.3–54.2
204325.17.2–4737.117.4–50.3
204424.77.9–4536.222.2–53.8
204524.110–42.53723.4–56.9
204628.57.8–55.740.823.6–55.8
204726.47.4–50.641.426.1–55.9
204830.28–52.941.627.9–61.4
204929.511.3–54.141.926.7–63.7
205026.810.4–47.839.722.4–58.2
205132.713.4–54.342.326.6–62.8
205229.313–59.841.826.9–64.7
205326.79.4–54.943.226.2–61.1
205429.910.9–57.744.728.3–67.6
205534.613.5–60.845.728.8–62.9
205634.215.2–5945.127.9–63.6
20573912.3–72.848.428.1–67.4
205838.917–69.945.229.2–73.8
205935.914.6–6649.430.6–68.6
206036.818.6–65.352.831.5–72.2
206138.919.6–65.947.830.4–70.4
206235.115.8–63.849.629.1–75.6
206342.114.5–66.951.331–73.1
206437.317–62.750.531.2–69
206535.618.5–60.25132.8–72.8
206635.812.3–64.750.831.9–74.1
206732.612.9–61.851.728.5–71.8
206840.717.5–76.45433.1–73.7
206943.915.7–73.350.134.4–78.2
207033.714.7–6352.130.7–79.5
207142.817.7–73.956.332.1–83.4
207242.718.2–68.155.137.5–78.7
207344.423.8–82.361.738.6–84.4
20744214.1–71.653.735–80.7
207541.515.2–70.153.631.7–76
207639.914.1–81.259.435.8–81.7
207742.723.6–83.660.532.5–87.1
207844.424.7–79.256.740.2–81.5
207943.923.1–74.762.334.8–79.9
208052.224.5–8361.235.7–88.2
208150.628.6–8358.840.4–84.1
208249.322.9–92.15840.1–75.2
208349.218.9–88.760.239.4–87.6
208450.421.6–92.661.739.7–86.8
208549.920.5–104.562.741.6–90
208650.922.5–100.662.138.7–88.9
208753.125–82.161.236.6–84.7
208846.314.7–108.462.438.5–86.4
208952.722.8–107.657.938.6–87
209055.216.3–89.261.743–86.8
209151.331.2–9863.239.1–90
209255.422.1–101.266.746.1–89.8
209347.718.8–94.661.640.5–97.4
209451.225.3–87.366.439.7–91
209557.624.4–95.168.443.4–90.6
209650.820–91.866.340.4–95.7
209748.923.7–9665.837.2–89.6
209852.926.4–94.765.240.8–96.7
209948.722.9–8261.938–90.8
210056.822.9–95.863.442.5–91

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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