Myanmar (Burma) vs Poland

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

Days above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 0 days in Poland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 28.8 days, or 1,400 times that in Poland.

days a year · CMIP6

Myanmar (Burma) vs Poland: Days above 35 °CDays above 35 °C in 2014: 28.8 days in Myanmar (Burma) and 0 days in Poland, in the CMIP6 climate models’ median run. In 2014 the value was higher in Myanmar (Burma), by 28.8 days, or 1,400 times that in Poland.
Myanmar (Burma)PolandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Myanmar (Burma) 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 Poland at 0.8 days in 2100.

Every year

days a year · CMIP6

YearMyanmar (Burma)Poland
201428.80
2013280
201227.50
201127.40
201027.90
200927.30
200827.20
200725.40
200626.80
2005250
200428.30
200326.40
200227.40
200128.40
200026.60
199926.10
199826.40
199726.20
199624.70
199525.50
199424.30
199323.90
199220.50
199128.40
199026.30
198923.80
198823.90
198725.40
198626.60
198523.60
198425.80
198323.20
1982240
198123.80
198023.50
197925.30
197823.40
197724.10
197625.60
197522.30
197424.10
197325.90
197223.10
197122.80
197024.20
196923.60
196823.40
196724.10
196623.10
196523.30
196421.70
196323.20
196224.40
196124.90
196026.20
195922.60
1958250
195724.10
1956250
195524.50
195425.30
195323.50
195226.10
1951250
195023.80
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Poland
201528.518.5–4000–0.3
201627.717.3–38.700–0.8
20172818.9–38.500–1.1
201829.818.6–41.200–0.8
201928.218.2–41.300–0.9
202028.616.8–41.400–1
202129.719.4–40.800–0.5
202231.521.7–42.700–1
202330.319.9–41.600–1.8
202431.720.1–43.700–1.1
202532.721.3–44.800–2.2
202630.420.3–44.500–1.3
202730.620.4–44.200–0.7
202831.119–4300–1.3
202932.720.9–46.400–2
203032.619.3–4500–0.8
203132.721.3–45.200–1
203232.119.6–45.400–1.9
203333.322–43.800–1.2
203431.322–43.50.10–2.1
203532.620.4–4900–1.6
203633.322.7–46.100–2.6
203734.322.6–49.100–2.3
203835.824.4–49.900–3.3
203934.920.9–490.20–2.4
20403419.2–51.20.10–1.9
20413724.8–51.900–1.1
204236.223–49.900–2.3
204334.522.6–47.700–3.2
204438.222.1–51.20.10–2.6
204535.924.2–50.700–2.5
204638.425.2–57.10.10–2.6
204738.824.1–56.10.30–3
204840.323.4–58.70.10–3.6
204940.625.2–58.10.30–3.6
205040.226.5–55.30.40–2.4
205141.726.7–56.80.20–3.1
205240.326.3–61.200–3.2
205341.323.6–61.50.20–2.7
205442.426.8–60.90.20–3.3
205541.428.5–61.90.10–4.1
205642.726.5–630.20–3.8
205743.226.3–63.20.10–5.4
205844.526.8–63.60.50–5
205943.729.1–65.30.40–5.4
206047.428.3–660.20–2.5
206146.729.5–64.50.60–3.7
206247.126.7–68.60.30–3.8
206346.929–66.40.50–5.9
206447.527.9–66.10.70–4.9
206542.427.5–62.40.40–4.5
206646.228.9–68.80.60–4
20674125.7–63.60.50–5.9
206846.928–70.40.50–3.1
206948.729.3–70.10.80–4.4
207043.927.5–64.30.70–5.6
20714926.2–71.90.20–5.5
20724730.6–71.41.10–4.4
207350.732.2–740.60–3.9
20744829.2–740.50–4.1
207549.126.1–68.90.70–6.6
207647.826.5–72.81.20–6.2
207751.832.9–76.10.40–7.1
207850.632.4–75.61.20–7
207950.730.5–770.80–9.2
208053.331.3–79.50.70–3.5
20815235.5–79.10.70–5.9
208252.532.5–76.810–10.4
208351.730.5–79.60.40–5.3
208452.329.5–760.70–4.5
208551.232.9–79.40.90–5.7
208652.632.5–80.10.80–7.2
208751.732.6–77.91.20–7.5
208850.727.2–88.81.60–6.4
208952.731.4–86.31.10–9.4
209054.231.1–80.110–7.2
209153.235.4–80.120–6.7
209254.135.4–85.50.80–7.4
20935235.6–850.40–4.2
209454.434.9–80.71.40–7.1
209558.535.1–84.31.40–6.9
209652.832.3–84.10.80–4.2
209753.230.4–82.80.50–6
209855.334.4–83.81.10–6.9
209955.233.1–84.70.70–7.3
21005734.6–840.80–6.8

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

Myanmar (Burma) vs Poland

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