Bangladesh vs Pakistan

Bangladesh vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 99.2 days, or 6.12 times that in Bangladesh.

days a year · CMIP6

Bangladesh vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 19.4 days in Bangladesh and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 99.2 days, or 6.12 times that in Bangladesh.
BangladeshPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan 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 Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearBangladeshPakistan
201419.4118.6
201314.1117.5
201217117.5
201113.4118
201016.9114.3
200914.4115.3
200814115.4
200714.3112.5
200617.8112.9
200516.1114.9
200414.7116.1
200315.9114.6
200217.7115.9
200116.9114.4
200016.6114.6
199915.6114.2
199815.4111.7
199716.8112
199614.2108.3
199513.2110
199415.2108.6
199312.4107.2
19928105.2
199118.8110.6
199018.5110.7
198913.7110.9
198813.5109.8
198717.9108.3
198617.9108.7
198514.4105.6
198419108
198314.6104.7
198216.3108
198115.4109.5
198014.5109.7
197916.7108.7
197815108.6
197714.1106.5
197617.5108.2
197514.4105
197417.3108.8
197317108
197215.7104.5
197116.9106.2
197016.5106.5
196915.5105.8
196816.2104.4
196713.5106.4
196615.6106.4
196515.4106
196414.7103
196316.1104.3
196219.1106.7
196118108.7
196019.2108.7
195918110.4
195817.5108.5
195718.1110.7
195619.2108.8
195516.9108.3
195419.4107
195321107.6
195217.2108.9
195119.9108.1
195022.3110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshPakistan
201517.85.5–30.2122100.8–136.6
201617.53.9–31.5119.5104.9–132
201714.14.8–29119.999.5–134.3
201813.92–31119.7103–133.8
201914.93.9–28118.997.2–133.8
202014.94.1–36.3122.8105–136.3
202117.25.6–33122.9103.2–138.2
202217.21.4–36.6120.7101.9–136.4
202318.16.6–32.2123.3104.8–138.8
202421.24.9–36.6124.4105.4–139.1
202516.73.9–36.8123.8102.8–139.1
202618.36.7–34122.5101.9–141.8
202718.33.5–38.2124.4101.5–141
202818.64.2–33.2124.8103.6–140.2
202918.22.2–34.9126.499.2–141.6
2030174.6–31.3122.5103.5–140.1
2031153.9–32.1122.7105.6–139.9
203219.33.2–34.3126104–143.9
203317.53.9–32125.9106.6–144.1
203416.24–29.3130.9113.2–147.8
203516.26.6–31.6127.1107.6–143.6
203617.76.3–36.6125.5108.3–143.4
203720.65.7–39.1130.7112.4–147.9
203821.96.6–38.5130.9108.6–144.9
203921.45.1–43.2128.6110.2–144.9
204022.86–48.8133.2115.1–146.1
204119.44.7–44.5127.2108.3–143.5
204222.86.3–50.6134.6112.8–150.7
204325.17.2–47131.6112.5–149.3
204424.77.9–45128.2108.1–145.9
204524.110–42.5133.4116.7–148.7
204628.57.8–55.7133.8109–151.1
204726.47.4–50.6134.6110–150.9
204830.28–52.9136117.1–152.3
204929.511.3–54.1133.3115.2–152.5
205026.810.4–47.8138.4119.4–157.4
205132.713.4–54.3138115.5–158.2
205229.313–59.8138.3120.3–155.3
205326.79.4–54.9137.4117.7–155.8
205429.910.9–57.7137116–152.4
205534.613.5–60.8139.6120–157.2
205634.215.2–59135.8117.3–154.1
20573912.3–72.8141.5119.5–158.8
205838.917–69.9137.1114.3–154.7
205935.914.6–66141.4122.6–156.6
206036.818.6–65.3142.5124.1–158.6
206138.919.6–65.9142.3123.2–157.4
206235.115.8–63.8141.3118.8–161.2
206342.114.5–66.9143.1125.6–160.6
206437.317–62.7140.7119.8–163.5
206535.618.5–60.2141.1121.5–159.3
206635.812.3–64.7143.8122.5–163.4
206732.612.9–61.8144.2125.9–162.3
206840.717.5–76.4143.2126–162.2
206943.915.7–73.3144.7119.8–163.2
207033.714.7–63143.7126.5–163
207142.817.7–73.9145.5121.8–164.4
207242.718.2–68.1147.1125.5–165.1
207344.423.8–82.3149.2122.1–164.7
20744214.1–71.6145.8126.7–162.2
207541.515.2–70.1145.1126.2–160.5
207639.914.1–81.2145.7126.4–165.9
207742.723.6–83.6146.1126.2–164.4
207844.424.7–79.2146.5121.4–164.4
207943.923.1–74.7144.6122.7–161
208052.224.5–83148.2123.7–166.4
208150.628.6–83145.8122.2–167
208249.322.9–92.1146123.3–168.8
208349.218.9–88.7148.3127–167.4
208450.421.6–92.6150.5128.5–167.6
208549.920.5–104.5149.9126.1–170.8
208650.922.5–100.6146.3124.2–165
208753.125–82.1149.9124.3–167.3
208846.314.7–108.4149.3127.9–169.7
208952.722.8–107.6148.9129.6–166.7
209055.216.3–89.2150.3131.5–166.7
209151.331.2–98151.1128.4–168.7
209255.422.1–101.2150.5129.8–170.2
209347.718.8–94.6151.6131.8–167.9
209451.225.3–87.3151.5130.4–168.6
209557.624.4–95.1152.5130.6–169.2
209650.820–91.8150.8124.2–169
209748.923.7–96149.4130.3–167.5
209852.926.4–94.7151.7125.4–168.2
209948.722.9–82151.6124.4–170.6
210056.822.9–95.8147.6125.2–167.5

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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