Bangladesh vs Myanmar (Burma)

Bangladesh vs Myanmar (Burma): Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 28.8 days in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 9.4 days, or 1.48 times that in Bangladesh.

days a year · CMIP6

Bangladesh vs Myanmar (Burma): Days above 35 °CDays above 35 °C in 2014: 19.4 days in Bangladesh and 28.8 days in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 9.4 days, or 1.48 times that in Bangladesh.
BangladeshMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Myanmar (Burma) 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 Myanmar (Burma) at 57 days in 2100.

Every year

days a year · CMIP6

YearBangladeshMyanmar (Burma)
201419.428.8
201314.128
20121727.5
201113.427.4
201016.927.9
200914.427.3
20081427.2
200714.325.4
200617.826.8
200516.125
200414.728.3
200315.926.4
200217.727.4
200116.928.4
200016.626.6
199915.626.1
199815.426.4
199716.826.2
199614.224.7
199513.225.5
199415.224.3
199312.423.9
1992820.5
199118.828.4
199018.526.3
198913.723.8
198813.523.9
198717.925.4
198617.926.6
198514.423.6
19841925.8
198314.623.2
198216.324
198115.423.8
198014.523.5
197916.725.3
19781523.4
197714.124.1
197617.525.6
197514.422.3
197417.324.1
19731725.9
197215.723.1
197116.922.8
197016.524.2
196915.523.6
196816.223.4
196713.524.1
196615.623.1
196515.423.3
196414.721.7
196316.123.2
196219.124.4
19611824.9
196019.226.2
19591822.6
195817.525
195718.124.1
195619.225
195516.924.5
195419.425.3
19532123.5
195217.226.1
195119.925
195022.323.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshMyanmar (Burma)
201517.85.5–30.228.518.5–40
201617.53.9–31.527.717.3–38.7
201714.14.8–292818.9–38.5
201813.92–3129.818.6–41.2
201914.93.9–2828.218.2–41.3
202014.94.1–36.328.616.8–41.4
202117.25.6–3329.719.4–40.8
202217.21.4–36.631.521.7–42.7
202318.16.6–32.230.319.9–41.6
202421.24.9–36.631.720.1–43.7
202516.73.9–36.832.721.3–44.8
202618.36.7–3430.420.3–44.5
202718.33.5–38.230.620.4–44.2
202818.64.2–33.231.119–43
202918.22.2–34.932.720.9–46.4
2030174.6–31.332.619.3–45
2031153.9–32.132.721.3–45.2
203219.33.2–34.332.119.6–45.4
203317.53.9–3233.322–43.8
203416.24–29.331.322–43.5
203516.26.6–31.632.620.4–49
203617.76.3–36.633.322.7–46.1
203720.65.7–39.134.322.6–49.1
203821.96.6–38.535.824.4–49.9
203921.45.1–43.234.920.9–49
204022.86–48.83419.2–51.2
204119.44.7–44.53724.8–51.9
204222.86.3–50.636.223–49.9
204325.17.2–4734.522.6–47.7
204424.77.9–4538.222.1–51.2
204524.110–42.535.924.2–50.7
204628.57.8–55.738.425.2–57.1
204726.47.4–50.638.824.1–56.1
204830.28–52.940.323.4–58.7
204929.511.3–54.140.625.2–58.1
205026.810.4–47.840.226.5–55.3
205132.713.4–54.341.726.7–56.8
205229.313–59.840.326.3–61.2
205326.79.4–54.941.323.6–61.5
205429.910.9–57.742.426.8–60.9
205534.613.5–60.841.428.5–61.9
205634.215.2–5942.726.5–63
20573912.3–72.843.226.3–63.2
205838.917–69.944.526.8–63.6
205935.914.6–6643.729.1–65.3
206036.818.6–65.347.428.3–66
206138.919.6–65.946.729.5–64.5
206235.115.8–63.847.126.7–68.6
206342.114.5–66.946.929–66.4
206437.317–62.747.527.9–66.1
206535.618.5–60.242.427.5–62.4
206635.812.3–64.746.228.9–68.8
206732.612.9–61.84125.7–63.6
206840.717.5–76.446.928–70.4
206943.915.7–73.348.729.3–70.1
207033.714.7–6343.927.5–64.3
207142.817.7–73.94926.2–71.9
207242.718.2–68.14730.6–71.4
207344.423.8–82.350.732.2–74
20744214.1–71.64829.2–74
207541.515.2–70.149.126.1–68.9
207639.914.1–81.247.826.5–72.8
207742.723.6–83.651.832.9–76.1
207844.424.7–79.250.632.4–75.6
207943.923.1–74.750.730.5–77
208052.224.5–8353.331.3–79.5
208150.628.6–835235.5–79.1
208249.322.9–92.152.532.5–76.8
208349.218.9–88.751.730.5–79.6
208450.421.6–92.652.329.5–76
208549.920.5–104.551.232.9–79.4
208650.922.5–100.652.632.5–80.1
208753.125–82.151.732.6–77.9
208846.314.7–108.450.727.2–88.8
208952.722.8–107.652.731.4–86.3
209055.216.3–89.254.231.1–80.1
209151.331.2–9853.235.4–80.1
209255.422.1–101.254.135.4–85.5
209347.718.8–94.65235.6–85
209451.225.3–87.354.434.9–80.7
209557.624.4–95.158.535.1–84.3
209650.820–91.852.832.3–84.1
209748.923.7–9653.230.4–82.8
209852.926.4–94.755.334.4–83.8
209948.722.9–8255.233.1–84.7
210056.822.9–95.85734.6–84

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

Bangladesh vs Myanmar (Burma)

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