Jordan vs Pakistan

Jordan vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 60 days in Jordan and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 58.6 days, or 1.98 times that in Jordan.

days a year · CMIP6

Jordan vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 60 days in Jordan and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 58.6 days, or 1.98 times that in Jordan.
JordanPakistanCMIP6 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 Jordan at 114.2 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearJordanPakistan
201460118.6
201358117.5
201256.6117.5
201155.8118
201057.5114.3
200953.6115.3
200855.7115.4
200751.8112.5
200653112.9
200554.2114.9
200453116.1
200355.5114.6
200250.5115.9
200155.6114.4
200050.5114.6
199951.1114.2
199849.7111.7
199745.8112
199646.6108.3
199543.6110
199441.8108.6
199336.8107.2
199238.4105.2
199142.2110.6
199047.5110.7
198945.3110.9
198841.2109.8
198741.6108.3
198644.3108.7
198538.8105.6
198435.1108
198334.4104.7
198238.6108
198141.2109.5
198041.7109.7
197936.2108.7
197837.5108.6
197737.7106.5
197639.9108.2
197534.4105
197438108.8
197337108
197239.4104.5
197139.4106.2
197038.6106.5
196938.7105.8
196835.4104.4
196735.9106.4
196635.2106.4
196534.8106
196433.6103
196335.1104.3
196236.9106.7
196138.6108.7
196040.4108.7
195937.6110.4
195839.8108.5
195741.6110.7
195640.9108.8
195538.6108.3
195436.9107
195340.6107.6
195239.3108.9
195139.4108.1
195036.7110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJordanPakistan
20156449.4–81122100.8–136.6
201661.448.3–81.2119.5104.9–132
201765.451.7–77.7119.999.5–134.3
201867.651.5–81.8119.7103–133.8
201968.755.1–80.3118.997.2–133.8
202070.253.4–85.6122.8105–136.3
202169.555.5–80.3122.9103.2–138.2
202270.554.7–85.6120.7101.9–136.4
202373.559.3–86.4123.3104.8–138.8
202476.861.8–89.2124.4105.4–139.1
202575.153.9–88.7123.8102.8–139.1
202673.159.1–87122.5101.9–141.8
202777.863.6–89.8124.4101.5–141
202875.559.2–89.5124.8103.6–140.2
202975.762.2–89.3126.499.2–141.6
203076.763.8–89.4122.5103.5–140.1
203174.661.7–90122.7105.6–139.9
203281.364.8–92.6126104–143.9
203383.164.1–95.2125.9106.6–144.1
203481.163.5–97.1130.9113.2–147.8
20358368.1–95.2127.1107.6–143.6
203677.366.6–95.6125.5108.3–143.4
203784.766.8–98130.7112.4–147.9
203886.566–103.7130.9108.6–144.9
203987.870.6–104.7128.6110.2–144.9
204086.371.3–101.2133.2115.1–146.1
204185.471.1–102.3127.2108.3–143.5
204288.267.7–100.5134.6112.8–150.7
204387.973.4–103.9131.6112.5–149.3
204486.269.6–105128.2108.1–145.9
204592.880–106.6133.4116.7–148.7
204692.177.5–106.4133.8109–151.1
20479074.8–109.3134.6110–150.9
204892.274.7–109.1136117.1–152.3
204990.269.6–107.3133.3115.2–152.5
205092.974.2–110.3138.4119.4–157.4
205192.480.3–106.3138115.5–158.2
205291.378.4–106.9138.3120.3–155.3
205392.279.6–108.9137.4117.7–155.8
20549569.5–110.5137116–152.4
205596.178.3–110.7139.6120–157.2
205694.175.3–110.4135.8117.3–154.1
205797.782–114.9141.5119.5–158.8
205898.177–116137.1114.3–154.7
205999.675.6–116.5141.4122.6–156.6
206098.682.9–117.1142.5124.1–158.6
206199.980.6–113.3142.3123.2–157.4
2062101.574.2–118.9141.3118.8–161.2
206399.184.1–117.1143.1125.6–160.6
2064101.485.9–119.3140.7119.8–163.5
206598.584.8–116.9141.1121.5–159.3
2066100.781.1–116.4143.8122.5–163.4
2067102.886.6–122.3144.2125.9–162.3
2068105.687.7–120.5143.2126–162.2
2069100.285.7–114.5144.7119.8–163.2
2070107.586.5–119.7143.7126.5–163
2071104.486.3–124.5145.5121.8–164.4
2072106.688.2–123.2147.1125.5–165.1
2073107.987.4–125.6149.2122.1–164.7
2074102.785–122.2145.8126.7–162.2
2075103.886–119.3145.1126.2–160.5
2076105.485.2–123.7145.7126.4–165.9
2077107.384.5–123.3146.1126.2–164.4
2078107.890.3–124.1146.5121.4–164.4
207911389–125.6144.6122.7–161
2080111.395.9–126148.2123.7–166.4
2081105.488.4–125.6145.8122.2–167
2082110.592.6–127.8146123.3–168.8
2083111.388.9–125.7148.3127–167.4
2084113.294.7–124.2150.5128.5–167.6
2085109.693.1–124.4149.9126.1–170.8
208610892.6–126.5146.3124.2–165
208711191.6–128.3149.9124.3–167.3
2088115.395.4–129.6149.3127.9–169.7
2089111.395–129148.9129.6–166.7
2090110.894–128.2150.3131.5–166.7
2091113.493.5–133151.1128.4–168.7
2092111.190.1–133.8150.5129.8–170.2
2093116.992–135151.6131.8–167.9
2094115.697.5–132.8151.5130.4–168.6
2095111.992.9–133.1152.5130.6–169.2
2096111.791.3–130.6150.8124.2–169
2097117.392.2–135.7149.4130.3–167.5
2098113.693–130.7151.7125.4–168.2
2099114.396.8–129.4151.6124.4–170.6
2100114.291.7–133.6147.6125.2–167.5

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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