Cambodia vs Thailand

Cambodia vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 45.7 days in Cambodia and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 5.8 days, or 1.14 times that in Thailand.

days a year · CMIP6

Cambodia vs Thailand: Days above 35 °CDays above 35 °C in 2014: 45.7 days in Cambodia and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 5.8 days, or 1.14 times that in Thailand.
CambodiaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cambodia has been higher since 1969, when it overtook Thailand.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cambodia at 117.2 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

YearCambodiaThailand
201445.739.9
201350.742.1
201248.840.1
201150.139.9
201048.439.8
200944.137.9
20084436
200740.833
20064639.2
200544.234.9
200446.439.4
200342.334.1
200244.336.3
200148.137.8
200036.932.5
199932.829.7
199839.333.3
199738.333.7
199634.431.3
199536.233.5
199438.533.5
199334.530.4
199226.625.5
199140.235.4
199044.637.7
198932.429.3
19883630.6
198735.731.2
198638.634.3
198531.729.3
19843532.4
198334.730.4
198238.933.1
198131.829.5
198030.828.8
197938.232.4
197828.526.1
197737.631.5
19763229.7
197528.825
197435.531.5
197338.334.5
197231.430.3
197131.727.1
197031.128.7
19693329.9
196827.729.4
196729.828.3
196627.925.4
196529.627.1
196430.626.6
196328.326
196229.328.7
196137.931.1
196036.632.9
195925.724.4
195837.433
195727.727.8
195626.327.1
195535.331.2
195432.830.3
195334.128.2
195238.434.1
195138.633
195031.128.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCambodiaThailand
201550.827.7–77.741.123.5–66.3
201648.210.9–70.138.915.7–61.2
201749.627–75.641.420.8–64.9
201850.426.8–79.743.521.7–65.5
201952.220.7–72.440.916.5–61.9
202053.324.2–84.545.617.3–66.6
202153.425.4–86.543.720.7–70.7
202257.540.4–90.647.826.4–73.3
202351.925.2–85.841.822.3–67.2
202456.830.5–87.644.726.9–70.9
202562.731.1–89.350.227.3–77
202654.228–90.944.425.2–80.5
202760.633.2–8647.126.2–75.6
202864.131–90.951.123.1–73.3
202974.940.4–104.156.733.9–84.7
203067.533.6–91.650.726.1–78.9
203164.537.3–106.650.531.5–81.2
203265.725–106.849.823.6–85.7
203369.540.2–93.553.432–73.7
203464.838.7–99.951.531.6–83.4
203567.428.6–104.752.228.9–89.2
203666.341.5–88.753.335.2–77.4
20377434.6–100.757.632–82.5
203876.846.8–110.762.238.5–91.5
203968.434.7–95.855.127.8–78.8
20406939–108.253.728.4–91.3
204176.848.8–107.36337.5–86.6
204270.226.4–116.854.826.4–94.7
204369.533.8–110.557.129.8–85.3
204473.445.3–122.557.336.7–95.7
204568.143.9–106.854.934.2–90.2
20467846.6–117.462.736.4–102.1
204782.247.8–12263.635–98.5
204888.343.9–134.872.237.4–110.4
204985.248.1–12466.240.8–98.3
205080.553.2–111.564.536.9–95.3
205183.240.7–123.166.135.5–97.1
205288.250.6–126.874.339.3–108.1
205385.546.6–12464.635–106.7
20548655.2–136.369.144.2–112.1
205588.450.5–131.971.445.3–107.6
205682.442.6–13870.536.5–117.7
205789.147.8–122.87240–104.6
205887.346.8–135.573.140.6–107.3
205993.961.6–143.277.251.2–121.4
206098.854.5–142.180.946–117
206188.639.7–136.977.335.3–117.8
206289.638.2–150.873.535.5–125.8
2063103.254.3–138.483.640.3–122.6
206493.264.2–136.274.746.9–111.8
206587.652.3–147.969.939.5–124.8
2066100.463.4–145.280.250.7–122.7
206787.746.7–137.769.437.9–116
206895.461.2–147.876.445.8–131.7
206996.158.9–152.177.747.4–128.7
207090.852.1–154.773.839.2–129.5
207197.559.3–151.380.642.2–131.6
2072102.759.4–162.281.347.5–135.3
2073109.168–148.788.854.2–133.4
207498.842.7–151.58444.3–128.1
207599.348.6–142.482.838.3–123.9
2076104.339.4–152.382.937.1–132.9
2077110.344.8–153.28849.4–132.4
2078110.757.2–152.191.252–137
207910656–162.385.749.5–144.4
2080112.752.2–15988.552.7–143.6
2081105.558.5–156.787.150.9–135.1
2082110.259.7–153.389.953.5–133.6
2083106.353.9–171.787.145.8–149.7
2084102.354.4–154.78447.7–131
2085113.265.6–166.793.853.8–141.8
2086111.154.4–159.187.745.8–139.2
2087107.555.6–164.486.447.4–139.2
2088110.853.7–176.590.441.7–153.2
2089108.558.9–173.990.149–151.2
209011067.3–179.787.853.3–154.1
2091102.761.1–177.98648.2–148.6
2092114.257.9–16292.650.2–149.9
2093106.567.6–173.989.854.6–159
2094120.659.4–166.695.549.6–143.6
2095123.265.4–177.7103.458.2–156.3
2096110.463.2–176.389.951.3–155.4
2097117.256–165.194.550.2–142.6
2098108.759.9–180.489.851.6–149.6
2099112.650.6–167.988.244.7–147.4
2100117.260.3–181.495.951.1–153.3

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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