Bangladesh vs Sudan

Bangladesh vs Sudan: Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 184 days in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 164.6 days, or 9.49 times that in Bangladesh.

days a year · CMIP6

Bangladesh vs Sudan: Days above 35 °CDays above 35 °C in 2014: 19.4 days in Bangladesh and 184 days in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 164.6 days, or 9.49 times that in Bangladesh.
BangladeshSudanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Sudan 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 Sudan at 230.7 days in 2100.

Every year

days a year · CMIP6

YearBangladeshSudan
201419.4184
201314.1179.8
201217180.9
201113.4183.5
201016.9181.3
200914.4175.7
200814173.9
200714.3171.9
200617.8171.2
200516.1169.5
200414.7171.6
200315.9172.7
200217.7173.6
200116.9177.8
200016.6170.3
199915.6170.7
199815.4166
199716.8169.3
199614.2165.5
199513.2165.1
199415.2162.2
199312.4154.5
19928154.3
199118.8165.3
199018.5166.6
198913.7164.1
198813.5164.2
198717.9163.3
198617.9166.1
198514.4159.7
198419158
198314.6157
198216.3155.1
198115.4162.1
198014.5161.1
197916.7160.4
197815155.5
197714.1157.9
197617.5157.3
197514.4153.9
197417.3155.3
197317161.4
197215.7156.2
197116.9153.4
197016.5156.8
196915.5153.8
196816.2154.6
196713.5148.4
196615.6153
196515.4154.2
196414.7148.7
196316.1146.1
196219.1155.9
196118158.5
196019.2161.3
195918158.4
195817.5156.7
195718.1159.4
195619.2157.7
195516.9154.7
195419.4158.7
195321156.3
195217.2156.1
195119.9158.9
195022.3155.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBangladeshSudan
201517.85.5–30.2183.4158.5–201.6
201617.53.9–31.5179.1156.3–200.8
201714.14.8–29184.1159.3–204.4
201813.92–31178.9156–204.1
201914.93.9–28181.9158.3–204.8
202014.94.1–36.3182.3159.2–205.5
202117.25.6–33183.1159.4–206.8
202217.21.4–36.6187.9165.4–207.6
202318.16.6–32.2185.3162.7–207.9
202421.24.9–36.6192.2168–211.3
202516.73.9–36.8188.6166.8–209.3
202618.36.7–34188.5157.9–211.8
202718.33.5–38.2189.2157–211.6
202818.64.2–33.2189.6162.9–211.3
202918.22.2–34.9190.4166.6–209.3
2030174.6–31.3191.6170.8–214.6
2031153.9–32.1192.2167.3–218
203219.33.2–34.3191.2169.9–210.3
203317.53.9–32195.3172.4–216.8
203416.24–29.3197.1168.8–222.4
203516.26.6–31.6196.4168.7–221.2
203617.76.3–36.6191.3171.4–213.6
203720.65.7–39.1198173.5–220.2
203821.96.6–38.5200.4179.8–221.2
203921.45.1–43.2199.5171.5–218.6
204022.86–48.8196.3172.7–217.9
204119.44.7–44.5202.2174.1–221.8
204222.86.3–50.6201.6175.8–224.1
204325.17.2–47198.7169.7–224.3
204424.77.9–45198.3173.4–222.2
204524.110–42.5203.4179.1–224.6
204628.57.8–55.7210.2177.8–229.9
204726.47.4–50.6206.2180.9–228.4
204830.28–52.9204.6180–231.3
204929.511.3–54.1204.3178.2–227.3
205026.810.4–47.8205.3180.8–234.5
205132.713.4–54.3206.2186–229.8
205229.313–59.8209182–231.9
205326.79.4–54.9208.7181.2–230.7
205429.910.9–57.7211180.1–231.4
205534.613.5–60.8212.3184–233.5
205634.215.2–59208.5182.4–235.7
20573912.3–72.8213.2186.4–240.1
205838.917–69.9213.4183–233.4
205935.914.6–66214.6189.2–242.4
206036.818.6–65.3213.7189.1–241.7
206138.919.6–65.9214.5186.1–239.4
206235.115.8–63.8214.4187–241.2
206342.114.5–66.9212.5181.1–235.9
206437.317–62.7214.9189.9–242.2
206535.618.5–60.2217.2195.4–238.5
206635.812.3–64.7217.1190.9–246.3
206732.612.9–61.8216.5188.1–243.9
206840.717.5–76.4216.7193.9–247.6
206943.915.7–73.3216.1187.6–243.2
207033.714.7–63219.4189.5–241.3
207142.817.7–73.9224.1190.5–247.8
207242.718.2–68.1222.3196.2–245.1
207344.423.8–82.3221.8196.1–246.8
20744214.1–71.6218.1183.5–249
207541.515.2–70.1221.9188.6–243.6
207639.914.1–81.2222.4196.4–250.8
207742.723.6–83.6225.8194.6–252.8
207844.424.7–79.2224.1196.8–250.7
207943.923.1–74.7220.7194.1–245.3
208052.224.5–83225.9191.3–250
208150.628.6–83225.1197.7–250.3
208249.322.9–92.1222.6195.3–249.8
208349.218.9–88.7228.1199.6–251.9
208450.421.6–92.6224.5194.9–252.9
208549.920.5–104.5226.3199.3–251.5
208650.922.5–100.6225.2193.1–258.3
208753.125–82.1222.9190.2–250.1
208846.314.7–108.4220.4194.2–256.8
208952.722.8–107.6227195.7–249.8
209055.216.3–89.2229198.7–254.5
209151.331.2–98227196.4–254.1
209255.422.1–101.2227.2200.5–253.1
209347.718.8–94.6227.5203–252.1
209451.225.3–87.3231.9201.3–256
209557.624.4–95.1228.4202.1–255
209650.820–91.8226.4198.4–255.9
209748.923.7–96225.9196.5–255.7
209852.926.4–94.7227.8194.4–253.4
209948.722.9–82229.5200.7–257.4
210056.822.9–95.8230.7199.7–256.7

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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