Bangladesh vs Egypt

Bangladesh vs Egypt: Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 105.6 days in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 86.2 days, or 5.45 times that in Bangladesh.

days a year · CMIP6

Bangladesh vs Egypt: Days above 35 °CDays above 35 °C in 2014: 19.4 days in Bangladesh and 105.6 days in Egypt, in the CMIP6 climate models’ median run. In 2014 the value was higher in Egypt, by 86.2 days, or 5.45 times that in Bangladesh.
BangladeshEgyptCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Egypt 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 Egypt at 153.5 days in 2100.

Every year

days a year · CMIP6

YearBangladeshEgypt
201419.4105.6
201314.1106.5
201217105.9
201113.4107.4
201016.9105.8
200914.4100.3
200814103.3
200714.3100.7
200617.8100.5
200516.199.3
200414.7102.1
200315.9103.3
200217.798
200116.999.6
200016.697.7
199915.697.4
199815.493.9
199716.893.4
199614.292.1
199513.291.8
199415.290.1
199312.483.5
1992884.8
199118.892.4
199018.592.8
198913.789.9
198813.584.9
198717.986.6
198617.991
198514.485.8
19841980
198314.680.5
198216.383.2
198115.485.4
198014.588.9
197916.780.7
19781584.8
197714.182.1
197617.585.3
197514.481.3
197417.382.8
19731783.4
197215.781.8
197116.981.7
197016.582.9
196915.580.4
196816.280.4
196713.578.5
196615.676.7
196515.474.7
196414.775.7
196316.182.2
196219.179.4
19611881.4
196019.284.9
19591884.8
195817.583.6
195718.184.1
195619.285
195516.982.3
195419.480.3
19532184
195217.282.4
195119.982.3
195022.379
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshEgypt
201517.85.5–30.2111.990.8–128.2
201617.53.9–31.5110.294.5–127.2
201714.14.8–29111.197–126.6
201813.92–3111096.5–128.3
201914.93.9–28111.396.6–127.8
202014.94.1–36.3115.299.3–131.2
202117.25.6–33114.5101.6–129.3
202217.21.4–36.6117.4100.6–133.7
202318.16.6–32.2117.3101.6–132.1
202421.24.9–36.6119103.7–135.3
202516.73.9–36.8120.1101.5–133.8
202618.36.7–34118.6104.9–131.8
202718.33.5–38.2117.9102.1–132
202818.64.2–33.2119.9103.3–133.5
202918.22.2–34.9120.1102.1–137
2030174.6–31.3120.4104.9–134.6
2031153.9–32.1119.2104.8–134.6
203219.33.2–34.3123.9110.2–138.1
203317.53.9–32126.1108.8–139
203416.24–29.3124.4108.9–139.2
203516.26.6–31.6127107.3–143.2
203617.76.3–36.6120.1107–137
203720.65.7–39.1125109–139.7
203821.96.6–38.5129.2110.5–145.3
203921.45.1–43.2127.4111.1–145.5
204022.86–48.8130.1113.6–145.3
204119.44.7–44.5129.3112–144.4
204222.86.3–50.6130.6110.6–147
204325.17.2–47129.4117.5–144.2
204424.77.9–45127.8110.2–145.3
204524.110–42.5133.4116.6–147.2
204628.57.8–55.7133.5116.3–149.7
204726.47.4–50.6133.8117.7–149.1
204830.28–52.9134.7118.6–149.8
204929.511.3–54.1131.5109.7–149.2
205026.810.4–47.8133.7118.5–149.4
205132.713.4–54.3131.1117.9–143.6
205229.313–59.8135.3121.8–149.8
205326.79.4–54.9134.6118.8–148.8
205429.910.9–57.7135.3116.9–150.8
205534.613.5–60.8138.6116–152.8
205634.215.2–59134.9114.6–150.4
20573912.3–72.8134115.6–153.3
205838.917–69.9138.1117.5–155.5
205935.914.6–66140.2118.4–157.9
206036.818.6–65.3139.3121.5–157.9
206138.919.6–65.9136.4120.5–151.4
206235.115.8–63.8138.5120.7–153.2
206342.114.5–66.9138121.6–150.4
206437.317–62.7139.4124.3–157.5
206535.618.5–60.2140.2122.7–157.6
206635.812.3–64.7136.3119.3–155.3
206732.612.9–61.8145.3126–161
206840.717.5–76.4143.8123.2–161.6
206943.915.7–73.3142.9125.7–157.3
207033.714.7–63144.3121.8–160.9
207142.817.7–73.9143.2122.8–161.5
207242.718.2–68.1146.8127.7–162.6
207344.423.8–82.3144.3125.4–160.4
20744214.1–71.6139.3121.4–159.1
207541.515.2–70.1139.7122.6–159.9
207639.914.1–81.2145.3123.2–162.9
207742.723.6–83.6148122.5–161.6
207844.424.7–79.2146.8126.7–162.7
207943.923.1–74.7147.3127.8–164.9
208052.224.5–83148.3128.1–163.8
208150.628.6–83145.3127.3–161.8
208249.322.9–92.1147.4130.6–165.2
208349.218.9–88.7148.5128.8–163.1
208450.421.6–92.6150.1130.1–167.3
208549.920.5–104.5145.2131–164.5
208650.922.5–100.6148.7132.2–165.5
208753.125–82.1146.5123.5–162.2
208846.314.7–108.4148.9128.6–163.9
208952.722.8–107.6149.6130.5–168.6
209055.216.3–89.2147.9130.5–162.9
209151.331.2–98153.9131.8–168.5
209255.422.1–101.2150.3131.6–166.6
209347.718.8–94.6151.4132.3–168
209451.225.3–87.3152.9133.9–169
209557.624.4–95.1150.7132.1–167.7
209650.820–91.8151129.9–167.8
209748.923.7–96151.3132.8–167.3
209852.926.4–94.7149.5130.4–166.4
209948.722.9–82149.6129.7–167.6
210056.822.9–95.8153.5130.3–169.4

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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