Myanmar (Burma) vs Sudan

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

Days above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 184 days in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 155.2 days, or 6.39 times that in Myanmar (Burma).

days a year · CMIP6

Myanmar (Burma) vs Sudan: Days above 35 °CDays above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 184 days in Sudan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Sudan, by 155.2 days, or 6.39 times that in Myanmar (Burma).
Myanmar (Burma)SudanCMIP6 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 Myanmar (Burma) at 57 days and Sudan at 230.7 days in 2100.

Every year

days a year · CMIP6

YearMyanmar (Burma)Sudan
201428.8184
201328179.8
201227.5180.9
201127.4183.5
201027.9181.3
200927.3175.7
200827.2173.9
200725.4171.9
200626.8171.2
200525169.5
200428.3171.6
200326.4172.7
200227.4173.6
200128.4177.8
200026.6170.3
199926.1170.7
199826.4166
199726.2169.3
199624.7165.5
199525.5165.1
199424.3162.2
199323.9154.5
199220.5154.3
199128.4165.3
199026.3166.6
198923.8164.1
198823.9164.2
198725.4163.3
198626.6166.1
198523.6159.7
198425.8158
198323.2157
198224155.1
198123.8162.1
198023.5161.1
197925.3160.4
197823.4155.5
197724.1157.9
197625.6157.3
197522.3153.9
197424.1155.3
197325.9161.4
197223.1156.2
197122.8153.4
197024.2156.8
196923.6153.8
196823.4154.6
196724.1148.4
196623.1153
196523.3154.2
196421.7148.7
196323.2146.1
196224.4155.9
196124.9158.5
196026.2161.3
195922.6158.4
195825156.7
195724.1159.4
195625157.7
195524.5154.7
195425.3158.7
195323.5156.3
195226.1156.1
195125158.9
195023.8155.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Sudan
201528.518.5–40183.4158.5–201.6
201627.717.3–38.7179.1156.3–200.8
20172818.9–38.5184.1159.3–204.4
201829.818.6–41.2178.9156–204.1
201928.218.2–41.3181.9158.3–204.8
202028.616.8–41.4182.3159.2–205.5
202129.719.4–40.8183.1159.4–206.8
202231.521.7–42.7187.9165.4–207.6
202330.319.9–41.6185.3162.7–207.9
202431.720.1–43.7192.2168–211.3
202532.721.3–44.8188.6166.8–209.3
202630.420.3–44.5188.5157.9–211.8
202730.620.4–44.2189.2157–211.6
202831.119–43189.6162.9–211.3
202932.720.9–46.4190.4166.6–209.3
203032.619.3–45191.6170.8–214.6
203132.721.3–45.2192.2167.3–218
203232.119.6–45.4191.2169.9–210.3
203333.322–43.8195.3172.4–216.8
203431.322–43.5197.1168.8–222.4
203532.620.4–49196.4168.7–221.2
203633.322.7–46.1191.3171.4–213.6
203734.322.6–49.1198173.5–220.2
203835.824.4–49.9200.4179.8–221.2
203934.920.9–49199.5171.5–218.6
20403419.2–51.2196.3172.7–217.9
20413724.8–51.9202.2174.1–221.8
204236.223–49.9201.6175.8–224.1
204334.522.6–47.7198.7169.7–224.3
204438.222.1–51.2198.3173.4–222.2
204535.924.2–50.7203.4179.1–224.6
204638.425.2–57.1210.2177.8–229.9
204738.824.1–56.1206.2180.9–228.4
204840.323.4–58.7204.6180–231.3
204940.625.2–58.1204.3178.2–227.3
205040.226.5–55.3205.3180.8–234.5
205141.726.7–56.8206.2186–229.8
205240.326.3–61.2209182–231.9
205341.323.6–61.5208.7181.2–230.7
205442.426.8–60.9211180.1–231.4
205541.428.5–61.9212.3184–233.5
205642.726.5–63208.5182.4–235.7
205743.226.3–63.2213.2186.4–240.1
205844.526.8–63.6213.4183–233.4
205943.729.1–65.3214.6189.2–242.4
206047.428.3–66213.7189.1–241.7
206146.729.5–64.5214.5186.1–239.4
206247.126.7–68.6214.4187–241.2
206346.929–66.4212.5181.1–235.9
206447.527.9–66.1214.9189.9–242.2
206542.427.5–62.4217.2195.4–238.5
206646.228.9–68.8217.1190.9–246.3
20674125.7–63.6216.5188.1–243.9
206846.928–70.4216.7193.9–247.6
206948.729.3–70.1216.1187.6–243.2
207043.927.5–64.3219.4189.5–241.3
20714926.2–71.9224.1190.5–247.8
20724730.6–71.4222.3196.2–245.1
207350.732.2–74221.8196.1–246.8
20744829.2–74218.1183.5–249
207549.126.1–68.9221.9188.6–243.6
207647.826.5–72.8222.4196.4–250.8
207751.832.9–76.1225.8194.6–252.8
207850.632.4–75.6224.1196.8–250.7
207950.730.5–77220.7194.1–245.3
208053.331.3–79.5225.9191.3–250
20815235.5–79.1225.1197.7–250.3
208252.532.5–76.8222.6195.3–249.8
208351.730.5–79.6228.1199.6–251.9
208452.329.5–76224.5194.9–252.9
208551.232.9–79.4226.3199.3–251.5
208652.632.5–80.1225.2193.1–258.3
208751.732.6–77.9222.9190.2–250.1
208850.727.2–88.8220.4194.2–256.8
208952.731.4–86.3227195.7–249.8
209054.231.1–80.1229198.7–254.5
209153.235.4–80.1227196.4–254.1
209254.135.4–85.5227.2200.5–253.1
20935235.6–85227.5203–252.1
209454.434.9–80.7231.9201.3–256
209558.535.1–84.3228.4202.1–255
209652.832.3–84.1226.4198.4–255.9
209753.230.4–82.8225.9196.5–255.7
209855.334.4–83.8227.8194.4–253.4
209955.233.1–84.7229.5200.7–257.4
21005734.6–84230.7199.7–256.7

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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