Australia vs Bangladesh

Australia vs Bangladesh: Days above 35 °C

Days above 35 °C in 2014: 81.7 days in Australia and 19.4 days in Bangladesh, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 62.3 days, or 4.21 times that in Bangladesh.

days a year · CMIP6

Australia vs Bangladesh: Days above 35 °CDays above 35 °C in 2014: 81.7 days in Australia and 19.4 days in Bangladesh, in the CMIP6 climate models’ median run. In 2014 the value was higher in Australia, by 62.3 days, or 4.21 times that in Bangladesh.
AustraliaBangladeshCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Australia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Australia at 120.5 days and Bangladesh at 56.8 days in 2100.

Every year

days a year · CMIP6

YearAustraliaBangladesh
201481.719.4
201383.114.1
201280.817
201179.513.4
201083.216.9
20098014.4
200879.514
200778.514.3
20067617.8
200576.616.1
200482.214.7
200380.715.9
200274.317.7
200177.216.9
20007816.6
199971.715.6
199878.115.4
199775.216.8
199671.114.2
199568.913.2
199469.615.2
199367.812.4
199260.68
199173.218.8
199075.618.5
198972.913.7
198869.813.5
198770.117.9
198672.217.9
198566.114.4
198471.319
198368.414.6
198273.416.3
198169.115.4
198071.214.5
197970.416.7
197870.815
197770.314.1
197669.417.5
197565.814.4
197467.717.3
197371.317
197265.415.7
197168.816.9
19706616.5
19697015.5
196867.216.2
196767.713.5
196666.915.6
196566.915.4
196464.814.7
196363.416.1
196270.719.1
196172.118
196071.519.2
195969.218
195869.617.5
195770.118.1
195667.319.2
195566.216.9
195470.419.4
195367.721
19527117.2
195169.719.9
195068.622.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaBangladesh
201576.853.2–96.917.85.5–30.2
201679.859.4–98.317.53.9–31.5
201786.262–105.414.14.8–29
201885.863–104.513.92–31
201980.955.1–101.614.93.9–28
202084.756.1–10414.94.1–36.3
202185.663.6–106.517.25.6–33
202289.462.5–109.317.21.4–36.6
202384.961–108.618.16.6–32.2
202489.263.7–109.821.24.9–36.6
202586.459.2–112.416.73.9–36.8
202688.864.7–112.218.36.7–34
202789.463.2–109.718.33.5–38.2
202893.269.5–112.918.64.2–33.2
20299476.8–115.418.22.2–34.9
203087.664.4–110174.6–31.3
203192.264.8–115153.9–32.1
203296.273.8–119.219.33.2–34.3
203392.871–113.617.53.9–32
203494.673.5–118.516.24–29.3
203593.968.1–117.216.26.6–31.6
203690.267.6–113.717.76.3–36.6
2037100.677.4–120.620.65.7–39.1
203898.474.8–118.721.96.6–38.5
20399666.5–117.121.45.1–43.2
204095.971.2–117.322.86–48.8
204195.571.6–117.219.44.7–44.5
204296.367.9–119.822.86.3–50.6
204399.376.7–118.225.17.2–47
204497.974.6–121.524.77.9–45
204597.875.9–118.224.110–42.5
204698.972.9–124.728.57.8–55.7
2047101.675.9–122.926.47.4–50.6
2048105.875–127.230.28–52.9
2049104.379.7–126.329.511.3–54.1
2050103.274.6–124.426.810.4–47.8
2051106.578.2–130.432.713.4–54.3
2052103.877.1–130.629.313–59.8
2053102.877.4–129.226.79.4–54.9
2054103.979.2–132.229.910.9–57.7
2055107.780.2–128.934.613.5–60.8
205610782.5–128.634.215.2–59
2057107.880.8–128.53912.3–72.8
2058107.678.9–132.438.917–69.9
2059109.283.2–131.635.914.6–66
2060108.281.6–130.836.818.6–65.3
2061110.582.7–133.638.919.6–65.9
2062103.675.5–126.235.115.8–63.8
2063112.885.3–134.942.114.5–66.9
2064109.485.3–132.437.317–62.7
2065107.679.3–129.435.618.5–60.2
2066114.593.5–137.835.812.3–64.7
2067111.281.6–14032.612.9–61.8
2068114.379.8–138.340.717.5–76.4
2069108.782–134.943.915.7–73.3
2070109.479.1–140.333.714.7–63
2071111.783–13842.817.7–73.9
2072113.787.6–137.342.718.2–68.1
2073118.593.1–139.944.423.8–82.3
2074112.586.3–1364214.1–71.6
2075113.181–135.941.515.2–70.1
2076114.987.1–137.539.914.1–81.2
2077117.686.2–139.742.723.6–83.6
2078116.193.4–136.944.424.7–79.2
2079112.485.3–137.743.923.1–74.7
208011483.2–138.752.224.5–83
2081115.882.5–139.650.628.6–83
2082116.188.5–138.449.322.9–92.1
2083113.184.1–140.249.218.9–88.7
2084120.886–143.550.421.6–92.6
2085116.987.7–142.349.920.5–104.5
2086118.683.7–140.450.922.5–100.6
208711785.8–14353.125–82.1
2088120.188.6–146.146.314.7–108.4
2089117.491.7–140.852.722.8–107.6
209011988.8–146.255.216.3–89.2
2091118.691.2–140.551.331.2–98
2092118.784.5–143.255.422.1–101.2
2093122.388.6–148.247.718.8–94.6
2094117.689–142.851.225.3–87.3
209512494.3–151.557.624.4–95.1
2096118.390.2–145.350.820–91.8
2097120.986.4–147.248.923.7–96
2098118.891.5–144.352.926.4–94.7
2099123.292.1–145.448.722.9–82
2100120.591–145.456.822.9–95.8

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

Australia vs Bangladesh

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment