Iraq vs Pakistan

Iraq vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 143.3 days in Iraq and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 24.7 days, or 1.21 times that in Pakistan.

days a year · CMIP6

Iraq vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 143.3 days in Iraq and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Iraq, by 24.7 days, or 1.21 times that in Pakistan.
IraqPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Iraq has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Iraq at 168.1 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearIraqPakistan
2014143.3118.6
2013143.1117.5
2012142.6117.5
2011142.2118
2010139.4114.3
2009138.4115.3
2008141.5115.4
2007139.4112.5
2006140112.9
2005139.3114.9
2004139.9116.1
2003138.9114.6
2002138.1115.9
2001140114.4
2000140.9114.6
1999136.7114.2
1998135.3111.7
1997137112
1996137.4108.3
1995133.4110
1994133.6108.6
1993130.1107.2
1992127.6105.2
1991131.5110.6
1990136110.7
1989135.7110.9
1988134.3109.8
1987132.2108.3
1986135.4108.7
1985131105.6
1984129.7108
1983127.6104.7
1982129.4108
1981132.1109.5
1980134.4109.7
1979130.4108.7
1978129.9108.6
1977129.8106.5
1976132.6108.2
1975128.2105
1974129.9108.8
1973129.9108
1972130.2104.5
1971128.3106.2
1970130106.5
1969131.1105.8
1968127.9104.4
1967128.3106.4
1966129106.4
1965128.6106
1964129.3103
1963130104.3
1962130.2106.7
1961134108.7
1960131.1108.7
1959133.8110.4
1958131.8108.5
1957131.7110.7
1956130.7108.8
1955129.8108.3
1954131.7107
1953132.9107.6
1952133.6108.9
1951133.5108.1
1950130.2110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearIraqPakistan
2015146.5134.9–155.9122100.8–136.6
2016145.4133.9–160.3119.5104.9–132
2017146132.3–158.3119.999.5–134.3
2018146.2132.5–158.8119.7103–133.8
2019146.8135.9–158.8118.997.2–133.8
2020148.8135.8–160.2122.8105–136.3
2021146.6135.6–157.1122.9103.2–138.2
2022148.4136.8–159.5120.7101.9–136.4
2023149.7138.7–161.4123.3104.8–138.8
2024148.6138.1–160.9124.4105.4–139.1
2025149.3137.3–161.5123.8102.8–139.1
2026147.6136.7–158.3122.5101.9–141.8
2027150.9138.6–161.1124.4101.5–141
2028149.4134.2–162.8124.8103.6–140.2
2029149.1139.1–159.9126.499.2–141.6
2030149.4138.7–161.4122.5103.5–140.1
2031149.8138.5–163.1122.7105.6–139.9
2032151.3138.1–162.1126104–143.9
2033153.3141.2–164.6125.9106.6–144.1
2034151.3139–165.8130.9113.2–147.8
2035152141.2–165.7127.1107.6–143.6
2036150.3136.4–161.5125.5108.3–143.4
2037152.6138.8–165.1130.7112.4–147.9
2038153.8140.6–166.8130.9108.6–144.9
2039155.8142.5–168.3128.6110.2–144.9
2040156.2144.7–166.4133.2115.1–146.1
2041154.2140.9–163.6127.2108.3–143.5
2042157.4142.7–166.1134.6112.8–150.7
2043156.5139.2–166.1131.6112.5–149.3
2044155.9146.3–166128.2108.1–145.9
2045158.2146.5–171.2133.4116.7–148.7
2046156.8145.5–169.4133.8109–151.1
2047157.7145.9–169.1134.6110–150.9
2048156.8145.8–169136117.1–152.3
2049156.1144.3–166.8133.3115.2–152.5
2050159.3146.2–171138.4119.4–157.4
2051160.8148.7–171.4138115.5–158.2
2052157.8144.1–169138.3120.3–155.3
2053156.4144.3–169.1137.4117.7–155.8
2054158.8143.4–175.1137116–152.4
2055162.7147.9–174.7139.6120–157.2
2056156.9143.8–169.1135.8117.3–154.1
2057158.5144.4–172.5141.5119.5–158.8
2058160.7147.3–172.2137.1114.3–154.7
2059158.5145.8–173.2141.4122.6–156.6
2060159.6148–175.7142.5124.1–158.6
2061162.4149.3–172.8142.3123.2–157.4
2062160.3147.2–173.3141.3118.8–161.2
2063162.1146.3–173.4143.1125.6–160.6
2064161.2147.6–172.3140.7119.8–163.5
2065160.4149.2–172.3141.1121.5–159.3
2066159.6149.3–173.8143.8122.5–163.4
2067162.7152.7–179.1144.2125.9–162.3
2068163.1147.4–173.5143.2126–162.2
2069163.9149.4–172.1144.7119.8–163.2
2070165153.2–175.5143.7126.5–163
2071163.2151.8–177.8145.5121.8–164.4
2072163.9150.2–174.6147.1125.5–165.1
2073166.2151.5–179.5149.2122.1–164.7
2074163.7147.1–179145.8126.7–162.2
2075163.3148.9–175.3145.1126.2–160.5
2076163148.4–175.1145.7126.4–165.9
2077165.4149.6–178146.1126.2–164.4
2078165151.6–176.3146.5121.4–164.4
2079165.3151.1–177.6144.6122.7–161
2080165.1153.7–177.3148.2123.7–166.4
2081165.4151.8–180.6145.8122.2–167
2082165.4151.9–178.4146123.3–168.8
2083166.3149.9–178.5148.3127–167.4
2084168.8156.7–179.6150.5128.5–167.6
2085164.8153.3–179149.9126.1–170.8
2086168155.9–178.1146.3124.2–165
2087167.4152.7–179.4149.9124.3–167.3
2088168.3153.6–181.4149.3127.9–169.7
2089166.3150.5–179.8148.9129.6–166.7
2090165.5150–179.2150.3131.5–166.7
2091166.8154.8–181151.1128.4–168.7
2092167.6155.6–178.5150.5129.8–170.2
2093168.4156.2–180.5151.6131.8–167.9
2094169.3158.3–181.6151.5130.4–168.6
2095166.8154.1–181.1152.5130.6–169.2
2096167.4154.4–181.6150.8124.2–169
2097170.5151.7–182.3149.4130.3–167.5
2098166.4152.3–182.3151.7125.4–168.2
2099168.4155.5–179.9151.6124.4–170.6
2100168.1155.5–182.3147.6125.2–167.5

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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