India vs Thailand

India vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 80.6 days in India and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 40.7 days, or 2.02 times that in Thailand.

days a year · CMIP6

India vs Thailand: Days above 35 °CDays above 35 °C in 2014: 80.6 days in India and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 40.7 days, or 2.02 times that in Thailand.
IndiaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts India at 111.9 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearIndiaThailand
201480.639.9
201379.242.1
201281.340.1
201179.939.9
201080.839.8
200978.437.9
20087736
20077933
200676.239.2
200579.934.9
200480.139.4
200376.934.1
200279.236.3
200180.137.8
200076.632.5
199977.129.7
199876.933.3
199775.433.7
199672.131.3
199575.433.5
199476.333.5
199372.330.4
199268.725.5
199178.135.4
199076.737.7
198975.529.3
198873.930.6
198775.331.2
198676.834.3
19857329.3
198475.932.4
198374.130.4
198276.133.1
198176.329.5
198075.328.8
197974.432.4
197874.426.1
197774.631.5
19767629.7
19757125
197475.831.5
197377.934.5
197271.130.3
197174.127.1
197073.728.7
196973.329.9
196872.229.4
196771.328.3
196675.325.4
196573.727.1
196468.926.6
196370.426
196274.228.7
196175.431.1
196075.432.9
195977.924.4
195874.833
195775.527.8
195675.627.1
195574.831.2
195475.330.3
195375.228.2
19527634.1
195176.333
195076.528.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaThailand
201581.664.7–9641.123.5–66.3
20168063.1–96.138.915.7–61.2
201779.461.7–95.341.420.8–64.9
201882.461.5–95.743.521.7–65.5
201979.160.2–95.240.916.5–61.9
202082.262.4–9945.617.3–66.6
202182.167.7–96.443.720.7–70.7
202283.962.8–100.347.826.4–73.3
202383.164–99.341.822.3–67.2
202484.766.4–100.344.726.9–70.9
202581.662.4–97.150.227.3–77
202684.866.1–101.344.425.2–80.5
202783.563.7–10247.126.2–75.6
202882.862.9–99.951.123.1–73.3
202989.566–105.956.733.9–84.7
203084.265.7–100.250.726.1–78.9
203185.466.7–103.450.531.5–81.2
203285.665.5–105.349.823.6–85.7
203383.865.8–99.853.432–73.7
203485.467.4–104.851.531.6–83.4
203585.766.6–105.352.228.9–89.2
203684.565.5–101.853.335.2–77.4
203789.772.2–107.557.632–82.5
203890.269.1–107.162.238.5–91.5
203987.168.5–107.455.127.8–78.8
204087.566.6–10653.728.4–91.3
204189.171.2–107.86337.5–86.6
204295.475.7–112.954.826.4–94.7
204391.270.1–111.157.129.8–85.3
204490.471.6–110.957.336.7–95.7
204591.772–108.554.934.2–90.2
204695.469.1–11762.736.4–102.1
204794.272.6–113.563.635–98.5
204897.673.2–120.572.237.4–110.4
204995.173.8–117.566.240.8–98.3
205094.474.5–11764.536.9–95.3
205194.775.8–114.766.135.5–97.1
205296.876.1–116.574.339.3–108.1
205394.673.9–116.764.635–106.7
205496.574.3–11769.144.2–112.1
205599.175.7–11871.445.3–107.6
205699.173.7–118.270.536.5–117.7
2057100.371.9–123.97240–104.6
205897.775.1–121.573.140.6–107.3
2059102.380.5–127.477.251.2–121.4
206010380.3–124.480.946–117
2061100.978.4–122.677.335.3–117.8
2062100.175.4–126.573.535.5–125.8
2063100.678.3–122.183.640.3–122.6
206410081–123.374.746.9–111.8
2065103.580.5–128.269.939.5–124.8
2066100.780.7–124.680.250.7–122.7
206799.678.4–12669.437.9–116
2068102.780.1–130.176.445.8–131.7
206910477.5–128.177.747.4–128.7
2070101.179.7–125.673.839.2–129.5
2071105.581.4–132.180.642.2–131.6
2072104.384.4–128.281.347.5–135.3
2073108.485.4–13088.854.2–133.4
2074105.182.9–126.88444.3–128.1
2075102.578.8–12682.838.3–123.9
2076105.582.2–134.682.937.1–132.9
2077107.484.1–132.68849.4–132.4
2078107.382.8–127.791.252–137
2079105.379.7–127.285.749.5–144.4
2080109.784.5–135.988.552.7–143.6
2081108.986.2–134.487.150.9–135.1
2082105.783.4–133.689.953.5–133.6
2083110.287.8–135.887.145.8–149.7
2084111.582.3–138.18447.7–131
2085112.381.2–143.693.853.8–141.8
2086107.882.8–141.187.745.8–139.2
2087107.980.1–13486.447.4–139.2
2088107.984.4–143.190.441.7–153.2
2089107.981.7–137.390.149–151.2
2090108.883.9–136.687.853.3–154.1
2091113.486.9–1448648.2–148.6
2092113.587.1–142.892.650.2–149.9
2093108.482.7–144.889.854.6–159
2094111.386.8–139.595.549.6–143.6
2095114.186.4–143.6103.458.2–156.3
209610880.4–140.389.951.3–155.4
2097110.385–137.894.550.2–142.6
2098113.687.7–141.189.851.6–149.6
2099112.585.3–137.788.244.7–147.4
2100111.986.8–138.795.951.1–153.3

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

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