Egypt vs Pakistan

Egypt vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 105.6 days in Egypt and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 13 days, or 1.12 times that in Egypt.

days a year · CMIP6

Egypt vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 105.6 days in Egypt and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 13 days, or 1.12 times that in Egypt.
EgyptPakistanCMIP6 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 Egypt at 153.5 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearEgyptPakistan
2014105.6118.6
2013106.5117.5
2012105.9117.5
2011107.4118
2010105.8114.3
2009100.3115.3
2008103.3115.4
2007100.7112.5
2006100.5112.9
200599.3114.9
2004102.1116.1
2003103.3114.6
200298115.9
200199.6114.4
200097.7114.6
199997.4114.2
199893.9111.7
199793.4112
199692.1108.3
199591.8110
199490.1108.6
199383.5107.2
199284.8105.2
199192.4110.6
199092.8110.7
198989.9110.9
198884.9109.8
198786.6108.3
198691108.7
198585.8105.6
198480108
198380.5104.7
198283.2108
198185.4109.5
198088.9109.7
197980.7108.7
197884.8108.6
197782.1106.5
197685.3108.2
197581.3105
197482.8108.8
197383.4108
197281.8104.5
197181.7106.2
197082.9106.5
196980.4105.8
196880.4104.4
196778.5106.4
196676.7106.4
196574.7106
196475.7103
196382.2104.3
196279.4106.7
196181.4108.7
196084.9108.7
195984.8110.4
195883.6108.5
195784.1110.7
195685108.8
195582.3108.3
195480.3107
195384107.6
195282.4108.9
195182.3108.1
195079110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptPakistan
2015111.990.8–128.2122100.8–136.6
2016110.294.5–127.2119.5104.9–132
2017111.197–126.6119.999.5–134.3
201811096.5–128.3119.7103–133.8
2019111.396.6–127.8118.997.2–133.8
2020115.299.3–131.2122.8105–136.3
2021114.5101.6–129.3122.9103.2–138.2
2022117.4100.6–133.7120.7101.9–136.4
2023117.3101.6–132.1123.3104.8–138.8
2024119103.7–135.3124.4105.4–139.1
2025120.1101.5–133.8123.8102.8–139.1
2026118.6104.9–131.8122.5101.9–141.8
2027117.9102.1–132124.4101.5–141
2028119.9103.3–133.5124.8103.6–140.2
2029120.1102.1–137126.499.2–141.6
2030120.4104.9–134.6122.5103.5–140.1
2031119.2104.8–134.6122.7105.6–139.9
2032123.9110.2–138.1126104–143.9
2033126.1108.8–139125.9106.6–144.1
2034124.4108.9–139.2130.9113.2–147.8
2035127107.3–143.2127.1107.6–143.6
2036120.1107–137125.5108.3–143.4
2037125109–139.7130.7112.4–147.9
2038129.2110.5–145.3130.9108.6–144.9
2039127.4111.1–145.5128.6110.2–144.9
2040130.1113.6–145.3133.2115.1–146.1
2041129.3112–144.4127.2108.3–143.5
2042130.6110.6–147134.6112.8–150.7
2043129.4117.5–144.2131.6112.5–149.3
2044127.8110.2–145.3128.2108.1–145.9
2045133.4116.6–147.2133.4116.7–148.7
2046133.5116.3–149.7133.8109–151.1
2047133.8117.7–149.1134.6110–150.9
2048134.7118.6–149.8136117.1–152.3
2049131.5109.7–149.2133.3115.2–152.5
2050133.7118.5–149.4138.4119.4–157.4
2051131.1117.9–143.6138115.5–158.2
2052135.3121.8–149.8138.3120.3–155.3
2053134.6118.8–148.8137.4117.7–155.8
2054135.3116.9–150.8137116–152.4
2055138.6116–152.8139.6120–157.2
2056134.9114.6–150.4135.8117.3–154.1
2057134115.6–153.3141.5119.5–158.8
2058138.1117.5–155.5137.1114.3–154.7
2059140.2118.4–157.9141.4122.6–156.6
2060139.3121.5–157.9142.5124.1–158.6
2061136.4120.5–151.4142.3123.2–157.4
2062138.5120.7–153.2141.3118.8–161.2
2063138121.6–150.4143.1125.6–160.6
2064139.4124.3–157.5140.7119.8–163.5
2065140.2122.7–157.6141.1121.5–159.3
2066136.3119.3–155.3143.8122.5–163.4
2067145.3126–161144.2125.9–162.3
2068143.8123.2–161.6143.2126–162.2
2069142.9125.7–157.3144.7119.8–163.2
2070144.3121.8–160.9143.7126.5–163
2071143.2122.8–161.5145.5121.8–164.4
2072146.8127.7–162.6147.1125.5–165.1
2073144.3125.4–160.4149.2122.1–164.7
2074139.3121.4–159.1145.8126.7–162.2
2075139.7122.6–159.9145.1126.2–160.5
2076145.3123.2–162.9145.7126.4–165.9
2077148122.5–161.6146.1126.2–164.4
2078146.8126.7–162.7146.5121.4–164.4
2079147.3127.8–164.9144.6122.7–161
2080148.3128.1–163.8148.2123.7–166.4
2081145.3127.3–161.8145.8122.2–167
2082147.4130.6–165.2146123.3–168.8
2083148.5128.8–163.1148.3127–167.4
2084150.1130.1–167.3150.5128.5–167.6
2085145.2131–164.5149.9126.1–170.8
2086148.7132.2–165.5146.3124.2–165
2087146.5123.5–162.2149.9124.3–167.3
2088148.9128.6–163.9149.3127.9–169.7
2089149.6130.5–168.6148.9129.6–166.7
2090147.9130.5–162.9150.3131.5–166.7
2091153.9131.8–168.5151.1128.4–168.7
2092150.3131.6–166.6150.5129.8–170.2
2093151.4132.3–168151.6131.8–167.9
2094152.9133.9–169151.5130.4–168.6
2095150.7132.1–167.7152.5130.6–169.2
2096151129.9–167.8150.8124.2–169
2097151.3132.8–167.3149.4130.3–167.5
2098149.5130.4–166.4151.7125.4–168.2
2099149.6129.7–167.6151.6124.4–170.6
2100153.5130.3–169.4147.6125.2–167.5

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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