India vs Pakistan

India vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 80.6 days in India and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 38 days, or 1.47 times that in India.

days a year · CMIP6

India vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 80.6 days in India and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 38 days, or 1.47 times that in India.
IndiaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan 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 Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearIndiaPakistan
201480.6118.6
201379.2117.5
201281.3117.5
201179.9118
201080.8114.3
200978.4115.3
200877115.4
200779112.5
200676.2112.9
200579.9114.9
200480.1116.1
200376.9114.6
200279.2115.9
200180.1114.4
200076.6114.6
199977.1114.2
199876.9111.7
199775.4112
199672.1108.3
199575.4110
199476.3108.6
199372.3107.2
199268.7105.2
199178.1110.6
199076.7110.7
198975.5110.9
198873.9109.8
198775.3108.3
198676.8108.7
198573105.6
198475.9108
198374.1104.7
198276.1108
198176.3109.5
198075.3109.7
197974.4108.7
197874.4108.6
197774.6106.5
197676108.2
197571105
197475.8108.8
197377.9108
197271.1104.5
197174.1106.2
197073.7106.5
196973.3105.8
196872.2104.4
196771.3106.4
196675.3106.4
196573.7106
196468.9103
196370.4104.3
196274.2106.7
196175.4108.7
196075.4108.7
195977.9110.4
195874.8108.5
195775.5110.7
195675.6108.8
195574.8108.3
195475.3107
195375.2107.6
195276108.9
195176.3108.1
195076.5110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIndiaPakistan
201581.664.7–96122100.8–136.6
20168063.1–96.1119.5104.9–132
201779.461.7–95.3119.999.5–134.3
201882.461.5–95.7119.7103–133.8
201979.160.2–95.2118.997.2–133.8
202082.262.4–99122.8105–136.3
202182.167.7–96.4122.9103.2–138.2
202283.962.8–100.3120.7101.9–136.4
202383.164–99.3123.3104.8–138.8
202484.766.4–100.3124.4105.4–139.1
202581.662.4–97.1123.8102.8–139.1
202684.866.1–101.3122.5101.9–141.8
202783.563.7–102124.4101.5–141
202882.862.9–99.9124.8103.6–140.2
202989.566–105.9126.499.2–141.6
203084.265.7–100.2122.5103.5–140.1
203185.466.7–103.4122.7105.6–139.9
203285.665.5–105.3126104–143.9
203383.865.8–99.8125.9106.6–144.1
203485.467.4–104.8130.9113.2–147.8
203585.766.6–105.3127.1107.6–143.6
203684.565.5–101.8125.5108.3–143.4
203789.772.2–107.5130.7112.4–147.9
203890.269.1–107.1130.9108.6–144.9
203987.168.5–107.4128.6110.2–144.9
204087.566.6–106133.2115.1–146.1
204189.171.2–107.8127.2108.3–143.5
204295.475.7–112.9134.6112.8–150.7
204391.270.1–111.1131.6112.5–149.3
204490.471.6–110.9128.2108.1–145.9
204591.772–108.5133.4116.7–148.7
204695.469.1–117133.8109–151.1
204794.272.6–113.5134.6110–150.9
204897.673.2–120.5136117.1–152.3
204995.173.8–117.5133.3115.2–152.5
205094.474.5–117138.4119.4–157.4
205194.775.8–114.7138115.5–158.2
205296.876.1–116.5138.3120.3–155.3
205394.673.9–116.7137.4117.7–155.8
205496.574.3–117137116–152.4
205599.175.7–118139.6120–157.2
205699.173.7–118.2135.8117.3–154.1
2057100.371.9–123.9141.5119.5–158.8
205897.775.1–121.5137.1114.3–154.7
2059102.380.5–127.4141.4122.6–156.6
206010380.3–124.4142.5124.1–158.6
2061100.978.4–122.6142.3123.2–157.4
2062100.175.4–126.5141.3118.8–161.2
2063100.678.3–122.1143.1125.6–160.6
206410081–123.3140.7119.8–163.5
2065103.580.5–128.2141.1121.5–159.3
2066100.780.7–124.6143.8122.5–163.4
206799.678.4–126144.2125.9–162.3
2068102.780.1–130.1143.2126–162.2
206910477.5–128.1144.7119.8–163.2
2070101.179.7–125.6143.7126.5–163
2071105.581.4–132.1145.5121.8–164.4
2072104.384.4–128.2147.1125.5–165.1
2073108.485.4–130149.2122.1–164.7
2074105.182.9–126.8145.8126.7–162.2
2075102.578.8–126145.1126.2–160.5
2076105.582.2–134.6145.7126.4–165.9
2077107.484.1–132.6146.1126.2–164.4
2078107.382.8–127.7146.5121.4–164.4
2079105.379.7–127.2144.6122.7–161
2080109.784.5–135.9148.2123.7–166.4
2081108.986.2–134.4145.8122.2–167
2082105.783.4–133.6146123.3–168.8
2083110.287.8–135.8148.3127–167.4
2084111.582.3–138.1150.5128.5–167.6
2085112.381.2–143.6149.9126.1–170.8
2086107.882.8–141.1146.3124.2–165
2087107.980.1–134149.9124.3–167.3
2088107.984.4–143.1149.3127.9–169.7
2089107.981.7–137.3148.9129.6–166.7
2090108.883.9–136.6150.3131.5–166.7
2091113.486.9–144151.1128.4–168.7
2092113.587.1–142.8150.5129.8–170.2
2093108.482.7–144.8151.6131.8–167.9
2094111.386.8–139.5151.5130.4–168.6
2095114.186.4–143.6152.5130.6–169.2
209610880.4–140.3150.8124.2–169
2097110.385–137.8149.4130.3–167.5
2098113.687.7–141.1151.7125.4–168.2
2099112.585.3–137.7151.6124.4–170.6
2100111.986.8–138.7147.6125.2–167.5

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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