India vs Saudi Arabia

India vs Saudi Arabia: Days above 35 °C

Days above 35 °C in 2014: 80.6 days in India and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 85.1 days, or 2.06 times that in India.

days a year · CMIP6

India vs Saudi Arabia: Days above 35 °CDays above 35 °C in 2014: 80.6 days in India and 165.7 days in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Saudi Arabia, by 85.1 days, or 2.06 times that in India.
IndiaSaudi ArabiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Saudi Arabia 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 Saudi Arabia at 195.8 days in 2100.

Every year

days a year · CMIP6

YearIndiaSaudi Arabia
201480.6165.7
201379.2163.7
201281.3164.4
201179.9164.2
201080.8162.2
200978.4160
200877161.6
200779159.7
200676.2160.2
200579.9161
200480.1160.4
200376.9159.5
200279.2160.4
200180.1162
200076.6159.8
199977.1158.2
199876.9156.3
199775.4156.7
199672.1156.3
199575.4154.1
199476.3154.8
199372.3148.8
199268.7147
199178.1153.4
199076.7156.8
198975.5153.8
198873.9153.1
198775.3152.7
198676.8153.7
198573151
198475.9150
198374.1147.7
198276.1149.2
198176.3153.2
198075.3153
197974.4150.7
197874.4149.5
197774.6150.1
197676151.5
197571146.6
197475.8147.9
197377.9149.5
197271.1148.2
197174.1146.3
197073.7146.9
196973.3147.4
196872.2147.4
196771.3145.3
196675.3146.9
196573.7146.3
196468.9145.4
196370.4145.8
196274.2148.7
196175.4150.1
196075.4150.9
195977.9151
195874.8150.2
195775.5152.3
195675.6148.7
195574.8148.6
195475.3148.7
195375.2150.2
195276150.8
195176.3148.6
195076.5148.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaSaudi Arabia
201581.664.7–96168.1155.2–180.8
20168063.1–96.1167.4155–178.2
201779.461.7–95.3166.4152.1–178.2
201882.461.5–95.7167.1153.7–180.7
201979.160.2–95.2168.2153.9–180.5
202082.262.4–99169.6156.7–182
202182.167.7–96.4168.7155.3–180.5
202283.962.8–100.3169.6153.9–183.2
202383.164–99.3169.7155.9–184.9
202484.766.4–100.3170.4157.8–184.5
202581.662.4–97.1171.2159.4–181.9
202684.866.1–101.3173.2159.7–185.5
202783.563.7–102173.9159.3–185.4
202882.862.9–99.9172.8158.3–185.8
202989.566–105.9171157.4–183.8
203084.265.7–100.2174.4160.6–185.9
203185.466.7–103.4175160.1–186.7
203285.665.5–105.3173.2160.2–185
203383.865.8–99.8176.3161.4–189.7
203485.467.4–104.8178.6164.5–193.4
203585.766.6–105.3176.1161.7–191.7
203684.565.5–101.8174.7162–187.2
203789.772.2–107.5177.3164.7–189.2
203890.269.1–107.1177.8163.1–191.7
203987.168.5–107.4178.3165.1–192.5
204087.566.6–106178.6165.4–188.9
204189.171.2–107.8177.4162.3–190
204295.475.7–112.9180165.1–193.2
204391.270.1–111.1179.6161.2–192.6
204490.471.6–110.9180.4167.3–191
204591.772–108.5182.8167.9–195.9
204695.469.1–117182168–195.8
204794.272.6–113.5182.6170–195
204897.673.2–120.5184.1169.5–199.4
204995.173.8–117.5182.9169.7–195.4
205094.474.5–117184.9170.6–196.8
205194.775.8–114.7185.3171.5–197.6
205296.876.1–116.5184.2170–196.6
205394.673.9–116.7181.7168.3–195.1
205496.574.3–117183.9167.9–197.3
205599.175.7–118187.7171.8–200.3
205699.173.7–118.2183.5168.6–196.2
2057100.371.9–123.9186.6172.5–201.3
205897.775.1–121.5184.9169.7–198.2
2059102.380.5–127.4184.3169.9–199.3
206010380.3–124.4188.1174–198.7
2061100.978.4–122.6187.6174–198.4
2062100.175.4–126.5186.9170.4–201.9
2063100.678.3–122.1188.8174.6–201.8
206410081–123.3187.2174.3–201.1
2065103.580.5–128.2186.3171–200.8
2066100.780.7–124.6188.6174.6–204.2
206799.678.4–126190.8177.1–204.4
2068102.780.1–130.1188.1176.8–201.4
206910477.5–128.1189.2174–202.2
2070101.179.7–125.6190.4177.1–204.1
2071105.581.4–132.1193.2174.7–207.4
2072104.384.4–128.2190.3174.7–203.7
2073108.485.4–130192.8177.3–207.7
2074105.182.9–126.8189.9174.1–206.8
2075102.578.8–126190.3174.8–206.1
2076105.582.2–134.6190.9175–206.9
2077107.484.1–132.6193.3176.6–206.1
2078107.382.8–127.7192.2178.3–207.4
2079105.379.7–127.2192177.9–203.8
2080109.784.5–135.9192.9177.3–209.4
2081108.986.2–134.4193.1174.9–208
2082105.783.4–133.6192.8177.3–208.2
2083110.287.8–135.8194.3178.4–208.7
2084111.582.3–138.1193.4181.1–208.4
2085112.381.2–143.6193.9178.3–211
2086107.882.8–141.1193.2177.7–211.5
2087107.980.1–134194.6180.8–208.8
2088107.984.4–143.1195178.3–211.9
2089107.981.7–137.3195.7180.6–209.9
2090108.883.9–136.6194.9178.8–210.6
2091113.486.9–144195.9182.4–210.1
2092113.587.1–142.8195.7181.2–210.7
2093108.482.7–144.8194.4178.8–210.4
2094111.386.8–139.5195.7181.7–209.9
2095114.186.4–143.6196.2182.1–210.7
209610880.4–140.3196.8178.8–213.1
2097110.385–137.8195.2178–211.1
2098113.687.7–141.1196.3177.7–212.9
2099112.585.3–137.7195.3181.5–210.6
2100111.986.8–138.7195.8182.5–210.3

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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