Myanmar (Burma) vs Thailand

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

Days above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 11.1 days, or 1.39 times that in Myanmar (Burma).

days a year · CMIP6

Myanmar (Burma) vs Thailand: Days above 35 °CDays above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 11.1 days, or 1.39 times that in Myanmar (Burma).
Myanmar (Burma)ThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearMyanmar (Burma)Thailand
201428.839.9
20132842.1
201227.540.1
201127.439.9
201027.939.8
200927.337.9
200827.236
200725.433
200626.839.2
20052534.9
200428.339.4
200326.434.1
200227.436.3
200128.437.8
200026.632.5
199926.129.7
199826.433.3
199726.233.7
199624.731.3
199525.533.5
199424.333.5
199323.930.4
199220.525.5
199128.435.4
199026.337.7
198923.829.3
198823.930.6
198725.431.2
198626.634.3
198523.629.3
198425.832.4
198323.230.4
19822433.1
198123.829.5
198023.528.8
197925.332.4
197823.426.1
197724.131.5
197625.629.7
197522.325
197424.131.5
197325.934.5
197223.130.3
197122.827.1
197024.228.7
196923.629.9
196823.429.4
196724.128.3
196623.125.4
196523.327.1
196421.726.6
196323.226
196224.428.7
196124.931.1
196026.232.9
195922.624.4
19582533
195724.127.8
19562527.1
195524.531.2
195425.330.3
195323.528.2
195226.134.1
19512533
195023.828.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Thailand
201528.518.5–4041.123.5–66.3
201627.717.3–38.738.915.7–61.2
20172818.9–38.541.420.8–64.9
201829.818.6–41.243.521.7–65.5
201928.218.2–41.340.916.5–61.9
202028.616.8–41.445.617.3–66.6
202129.719.4–40.843.720.7–70.7
202231.521.7–42.747.826.4–73.3
202330.319.9–41.641.822.3–67.2
202431.720.1–43.744.726.9–70.9
202532.721.3–44.850.227.3–77
202630.420.3–44.544.425.2–80.5
202730.620.4–44.247.126.2–75.6
202831.119–4351.123.1–73.3
202932.720.9–46.456.733.9–84.7
203032.619.3–4550.726.1–78.9
203132.721.3–45.250.531.5–81.2
203232.119.6–45.449.823.6–85.7
203333.322–43.853.432–73.7
203431.322–43.551.531.6–83.4
203532.620.4–4952.228.9–89.2
203633.322.7–46.153.335.2–77.4
203734.322.6–49.157.632–82.5
203835.824.4–49.962.238.5–91.5
203934.920.9–4955.127.8–78.8
20403419.2–51.253.728.4–91.3
20413724.8–51.96337.5–86.6
204236.223–49.954.826.4–94.7
204334.522.6–47.757.129.8–85.3
204438.222.1–51.257.336.7–95.7
204535.924.2–50.754.934.2–90.2
204638.425.2–57.162.736.4–102.1
204738.824.1–56.163.635–98.5
204840.323.4–58.772.237.4–110.4
204940.625.2–58.166.240.8–98.3
205040.226.5–55.364.536.9–95.3
205141.726.7–56.866.135.5–97.1
205240.326.3–61.274.339.3–108.1
205341.323.6–61.564.635–106.7
205442.426.8–60.969.144.2–112.1
205541.428.5–61.971.445.3–107.6
205642.726.5–6370.536.5–117.7
205743.226.3–63.27240–104.6
205844.526.8–63.673.140.6–107.3
205943.729.1–65.377.251.2–121.4
206047.428.3–6680.946–117
206146.729.5–64.577.335.3–117.8
206247.126.7–68.673.535.5–125.8
206346.929–66.483.640.3–122.6
206447.527.9–66.174.746.9–111.8
206542.427.5–62.469.939.5–124.8
206646.228.9–68.880.250.7–122.7
20674125.7–63.669.437.9–116
206846.928–70.476.445.8–131.7
206948.729.3–70.177.747.4–128.7
207043.927.5–64.373.839.2–129.5
20714926.2–71.980.642.2–131.6
20724730.6–71.481.347.5–135.3
207350.732.2–7488.854.2–133.4
20744829.2–748444.3–128.1
207549.126.1–68.982.838.3–123.9
207647.826.5–72.882.937.1–132.9
207751.832.9–76.18849.4–132.4
207850.632.4–75.691.252–137
207950.730.5–7785.749.5–144.4
208053.331.3–79.588.552.7–143.6
20815235.5–79.187.150.9–135.1
208252.532.5–76.889.953.5–133.6
208351.730.5–79.687.145.8–149.7
208452.329.5–768447.7–131
208551.232.9–79.493.853.8–141.8
208652.632.5–80.187.745.8–139.2
208751.732.6–77.986.447.4–139.2
208850.727.2–88.890.441.7–153.2
208952.731.4–86.390.149–151.2
209054.231.1–80.187.853.3–154.1
209153.235.4–80.18648.2–148.6
209254.135.4–85.592.650.2–149.9
20935235.6–8589.854.6–159
209454.434.9–80.795.549.6–143.6
209558.535.1–84.3103.458.2–156.3
209652.832.3–84.189.951.3–155.4
209753.230.4–82.894.550.2–142.6
209855.334.4–83.889.851.6–149.6
209955.233.1–84.788.244.7–147.4
21005734.6–8495.951.1–153.3

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

Myanmar (Burma) vs Thailand

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment