Bangladesh vs Israel

Bangladesh vs Israel: Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 30.3 days in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 11 days, or 1.56 times that in Bangladesh.

days a year · CMIP6

Bangladesh vs Israel: Days above 35 °CDays above 35 °C in 2014: 19.4 days in Bangladesh and 30.3 days in Israel, in the CMIP6 climate models’ median run. In 2014 the value was higher in Israel, by 11 days, or 1.56 times that in Bangladesh.
BangladeshIsraelCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Israel has been higher since 1985, when it overtook Bangladesh.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 56.8 days and Israel at 85.6 days in 2100.

Every year

days a year · CMIP6

YearBangladeshIsrael
201419.430.3
201314.129.7
20121727.9
201113.429.6
201016.929.7
200914.426.8
20081428.9
200714.325.8
200617.826.3
200516.126.2
200414.726.5
200315.928.6
200217.724.9
200116.926.4
200016.625.4
199915.625.1
199815.423.9
199716.821.2
199614.220.5
199513.219.9
199415.219.2
199312.416.1
1992817.4
199118.820.3
199018.522.4
198913.720.7
198813.518.7
198717.919
198617.920.7
198514.417.6
19841914.6
198314.616.1
198216.318
198115.419
198014.519.6
197916.716.1
19781516.7
197714.116.4
197617.518.3
197514.416.5
197417.318.1
19731717.2
197215.718.2
197116.918.2
197016.517.4
196915.517.5
196816.215.5
196713.515.4
196615.615.6
196515.414.7
196414.715
196316.116.8
196219.117.2
19611816.5
196019.219.7
19591818
195817.518.6
195718.119.7
195619.218.5
195516.918.4
195419.415.9
19532118.2
195217.217.8
195119.918.3
195022.316.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshIsrael
201517.85.5–30.235.422.7–49.3
201617.53.9–31.53222.7–48.1
201714.14.8–2936.626.9–47.6
201813.92–3137.726.5–50.4
201914.93.9–283727.2–50.2
202014.94.1–36.340.527.5–54.7
202117.25.6–3338.329.9–48.9
202217.21.4–36.641.828–54.5
202318.16.6–32.243.631.6–54.9
202421.24.9–36.64531.6–56.2
202516.73.9–36.845.327.6–56.7
202618.36.7–3442.830–55.6
202718.33.5–38.244.833–56.4
202818.64.2–33.245.331.2–56.1
202918.22.2–34.944.232.9–59.9
2030174.6–31.345.134–56.7
2031153.9–32.144.833.2–57
203219.33.2–34.349.336.9–60.5
203317.53.9–3250.432.4–64.9
203416.24–29.348.932.1–62.4
203516.26.6–31.652.636.4–66.8
203617.76.3–36.646.537.2–62.3
203720.65.7–39.154.737.5–67.2
203821.96.6–38.554.234.6–71.5
203921.45.1–43.255.438.7–70.4
204022.86–48.855.439.7–72.6
204119.44.7–44.554.241–69.9
204222.86.3–50.655.736.3–69.2
204325.17.2–4755.441.6–68.9
204424.77.9–455537.4–71.2
204524.110–42.559.445.3–73.9
204628.57.8–55.760.545.7–74.6
204726.47.4–50.660.245.4–76.2
204830.28–52.962.442.8–77.6
204929.511.3–54.158.337.9–75.3
205026.810.4–47.86042.7–78.5
205132.713.4–54.360.446.6–73.1
205229.313–59.86046.1–75.7
205326.79.4–54.960.646.1–76.6
205429.910.9–57.763.344.6–77.5
205534.613.5–60.863.543.4–80.4
205634.215.2–5964.542.6–81
20573912.3–72.863.249.8–82.3
205838.917–69.965.445.9–86.6
205935.914.6–6668.645.1–84.4
206036.818.6–65.366.450.5–84.8
206138.919.6–65.965.748.9–82
206235.115.8–63.868.745–87.3
206342.114.5–66.968.152.7–86.2
206437.317–62.768.555.6–88.7
206535.618.5–60.268.851.6–88.2
206635.812.3–64.768.849–86.7
206732.612.9–61.873.852.9–91.6
206840.717.5–76.474.755.9–94.1
206943.915.7–73.37055.7–83.4
207033.714.7–6376.353.6–91.5
207142.817.7–73.973.953.1–92.8
207242.718.2–68.177.258.3–92.6
207344.423.8–82.375.754.6–95.1
20744214.1–71.671.955.9–89.6
207541.515.2–70.171.952.3–88.9
207639.914.1–81.275.555.1–94.5
207742.723.6–83.675.254.9–92.1
207844.424.7–79.278.158.3–94.6
207943.923.1–74.782.356.7–99.2
208052.224.5–8380.565.3–99.3
208150.628.6–8375.157.8–93.6
208249.322.9–92.180.761.4–99.5
208349.218.9–88.780.261.7–97.3
208450.421.6–92.680.464.4–94.8
208549.920.5–104.580.663.1–97.1
208650.922.5–100.678.761.7–102.1
208753.125–82.179.661.2–100.8
208846.314.7–108.484.160.7–101.2
208952.722.8–107.68163.9–105.3
209055.216.3–89.28365.5–101.4
209151.331.2–9884.363.6–101.9
209255.422.1–101.282.860.3–105.3
209347.718.8–94.686.263.7–107.4
209451.225.3–87.387.266–105.1
209557.624.4–95.184.363.3–105.9
209650.820–91.882.561.3–103.9
209748.923.7–9685.865.7–105.3
209852.926.4–94.785.165.1–104.2
209948.722.9–828560.2–104.3
210056.822.9–95.885.660.5–104.5

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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