Israel vs Pakistan

Israel vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 30.3 days in Israel and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 88.3 days, or 3.91 times that in Israel.

days a year · CMIP6

Israel vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 30.3 days in Israel and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 88.3 days, or 3.91 times that in Israel.
IsraelPakistanCMIP6 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 Israel at 85.6 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearIsraelPakistan
201430.3118.6
201329.7117.5
201227.9117.5
201129.6118
201029.7114.3
200926.8115.3
200828.9115.4
200725.8112.5
200626.3112.9
200526.2114.9
200426.5116.1
200328.6114.6
200224.9115.9
200126.4114.4
200025.4114.6
199925.1114.2
199823.9111.7
199721.2112
199620.5108.3
199519.9110
199419.2108.6
199316.1107.2
199217.4105.2
199120.3110.6
199022.4110.7
198920.7110.9
198818.7109.8
198719108.3
198620.7108.7
198517.6105.6
198414.6108
198316.1104.7
198218108
198119109.5
198019.6109.7
197916.1108.7
197816.7108.6
197716.4106.5
197618.3108.2
197516.5105
197418.1108.8
197317.2108
197218.2104.5
197118.2106.2
197017.4106.5
196917.5105.8
196815.5104.4
196715.4106.4
196615.6106.4
196514.7106
196415103
196316.8104.3
196217.2106.7
196116.5108.7
196019.7108.7
195918110.4
195818.6108.5
195719.7110.7
195618.5108.8
195518.4108.3
195415.9107
195318.2107.6
195217.8108.9
195118.3108.1
195016.8110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIsraelPakistan
201535.422.7–49.3122100.8–136.6
20163222.7–48.1119.5104.9–132
201736.626.9–47.6119.999.5–134.3
201837.726.5–50.4119.7103–133.8
20193727.2–50.2118.997.2–133.8
202040.527.5–54.7122.8105–136.3
202138.329.9–48.9122.9103.2–138.2
202241.828–54.5120.7101.9–136.4
202343.631.6–54.9123.3104.8–138.8
20244531.6–56.2124.4105.4–139.1
202545.327.6–56.7123.8102.8–139.1
202642.830–55.6122.5101.9–141.8
202744.833–56.4124.4101.5–141
202845.331.2–56.1124.8103.6–140.2
202944.232.9–59.9126.499.2–141.6
203045.134–56.7122.5103.5–140.1
203144.833.2–57122.7105.6–139.9
203249.336.9–60.5126104–143.9
203350.432.4–64.9125.9106.6–144.1
203448.932.1–62.4130.9113.2–147.8
203552.636.4–66.8127.1107.6–143.6
203646.537.2–62.3125.5108.3–143.4
203754.737.5–67.2130.7112.4–147.9
203854.234.6–71.5130.9108.6–144.9
203955.438.7–70.4128.6110.2–144.9
204055.439.7–72.6133.2115.1–146.1
204154.241–69.9127.2108.3–143.5
204255.736.3–69.2134.6112.8–150.7
204355.441.6–68.9131.6112.5–149.3
20445537.4–71.2128.2108.1–145.9
204559.445.3–73.9133.4116.7–148.7
204660.545.7–74.6133.8109–151.1
204760.245.4–76.2134.6110–150.9
204862.442.8–77.6136117.1–152.3
204958.337.9–75.3133.3115.2–152.5
20506042.7–78.5138.4119.4–157.4
205160.446.6–73.1138115.5–158.2
20526046.1–75.7138.3120.3–155.3
205360.646.1–76.6137.4117.7–155.8
205463.344.6–77.5137116–152.4
205563.543.4–80.4139.6120–157.2
205664.542.6–81135.8117.3–154.1
205763.249.8–82.3141.5119.5–158.8
205865.445.9–86.6137.1114.3–154.7
205968.645.1–84.4141.4122.6–156.6
206066.450.5–84.8142.5124.1–158.6
206165.748.9–82142.3123.2–157.4
206268.745–87.3141.3118.8–161.2
206368.152.7–86.2143.1125.6–160.6
206468.555.6–88.7140.7119.8–163.5
206568.851.6–88.2141.1121.5–159.3
206668.849–86.7143.8122.5–163.4
206773.852.9–91.6144.2125.9–162.3
206874.755.9–94.1143.2126–162.2
20697055.7–83.4144.7119.8–163.2
207076.353.6–91.5143.7126.5–163
207173.953.1–92.8145.5121.8–164.4
207277.258.3–92.6147.1125.5–165.1
207375.754.6–95.1149.2122.1–164.7
207471.955.9–89.6145.8126.7–162.2
207571.952.3–88.9145.1126.2–160.5
207675.555.1–94.5145.7126.4–165.9
207775.254.9–92.1146.1126.2–164.4
207878.158.3–94.6146.5121.4–164.4
207982.356.7–99.2144.6122.7–161
208080.565.3–99.3148.2123.7–166.4
208175.157.8–93.6145.8122.2–167
208280.761.4–99.5146123.3–168.8
208380.261.7–97.3148.3127–167.4
208480.464.4–94.8150.5128.5–167.6
208580.663.1–97.1149.9126.1–170.8
208678.761.7–102.1146.3124.2–165
208779.661.2–100.8149.9124.3–167.3
208884.160.7–101.2149.3127.9–169.7
20898163.9–105.3148.9129.6–166.7
20908365.5–101.4150.3131.5–166.7
209184.363.6–101.9151.1128.4–168.7
209282.860.3–105.3150.5129.8–170.2
209386.263.7–107.4151.6131.8–167.9
209487.266–105.1151.5130.4–168.6
209584.363.3–105.9152.5130.6–169.2
209682.561.3–103.9150.8124.2–169
209785.865.7–105.3149.4130.3–167.5
209885.165.1–104.2151.7125.4–168.2
20998560.2–104.3151.6124.4–170.6
210085.660.5–104.5147.6125.2–167.5

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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