Algeria vs Pakistan

Algeria vs Pakistan: Days above 35 °C

Days above 35 °C in 2014: 133.9 days in Algeria and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 15.3 days, or 1.13 times that in Pakistan.

days a year · CMIP6

Algeria vs Pakistan: Days above 35 °CDays above 35 °C in 2014: 133.9 days in Algeria and 118.6 days in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Algeria, by 15.3 days, or 1.13 times that in Pakistan.
AlgeriaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Algeria has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Algeria at 164.2 days and Pakistan at 147.6 days in 2100.

Every year

days a year · CMIP6

YearAlgeriaPakistan
2014133.9118.6
2013135.3117.5
2012135.9117.5
2011134.5118
2010135.4114.3
2009133.1115.3
2008134115.4
2007131.6112.5
2006132112.9
2005130.7114.9
2004131.2116.1
2003131.2114.6
2002131.5115.9
2001130114.4
2000129.7114.6
1999126.9114.2
1998128.3111.7
1997128.1112
1996124.7108.3
1995122.5110
1994122.9108.6
1993120.9107.2
1992117.1105.2
1991125.5110.6
1990128.4110.7
1989122.8110.9
1988124.3109.8
1987122108.3
1986123.2108.7
1985118.6105.6
1984119.8108
1983120104.7
1982123108
1981121109.5
1980121.5109.7
1979122.5108.7
1978120.2108.6
1977118.9106.5
1976120.7108.2
1975119.3105
1974115.8108.8
1973120108
1972119.6104.5
1971117.9106.2
1970117106.5
1969119.9105.8
1968117.8104.4
1967117.4106.4
1966118.8106.4
1965114106
1964117.2103
1963117.7104.3
1962118.9106.7
1961121.4108.7
1960122.1108.7
1959123110.4
1958121.3108.5
1957123110.7
1956118.4108.8
1955120.8108.3
1954119.2107
1953119.3107.6
1952120.9108.9
1951121.6108.1
1950118.8110.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAlgeriaPakistan
2015135.9121.1–152.4122100.8–136.6
2016135.7120.4–153119.5104.9–132
2017140.4125.5–155119.999.5–134.3
2018139.3122.3–154.2119.7103–133.8
2019140124.6–155.9118.997.2–133.8
2020138.3121.7–153.6122.8105–136.3
2021141.6129.6–154.5122.9103.2–138.2
2022143.9128.1–161.8120.7101.9–136.4
2023140.2123.9–153.2123.3104.8–138.8
2024143.7129.8–159.1124.4105.4–139.1
2025141.9126–156.9123.8102.8–139.1
2026143.8129.1–157.5122.5101.9–141.8
2027142.3126.9–159.3124.4101.5–141
2028144.7131.2–157.9124.8103.6–140.2
2029143.8131.2–156.7126.499.2–141.6
2030143.4128.4–155.9122.5103.5–140.1
2031144.2131–158.4122.7105.6–139.9
2032148.7135.6–162.3126104–143.9
2033147.1130.5–159.3125.9106.6–144.1
2034148131.6–162.1130.9113.2–147.8
2035148.8135.2–162.2127.1107.6–143.6
2036147.4133–161.5125.5108.3–143.4
2037147.7132.8–162.8130.7112.4–147.9
2038148.9132–164.6130.9108.6–144.9
2039149.5133.3–165.7128.6110.2–144.9
2040150.8134.8–165.1133.2115.1–146.1
2041148.3133.3–162.3127.2108.3–143.5
2042152.4137.3–168134.6112.8–150.7
2043149.3136.3–162.3131.6112.5–149.3
2044150.2134.7–164.5128.2108.1–145.9
2045151.5137.5–164.7133.4116.7–148.7
2046151.1135.9–165.8133.8109–151.1
2047152.7137.2–169.5134.6110–150.9
2048153.2137.5–168.2136117.1–152.3
2049152138.1–166.5133.3115.2–152.5
2050153.3138.8–167.1138.4119.4–157.4
2051152.8139.2–167.9138115.5–158.2
2052154.8141.8–172.3138.3120.3–155.3
2053155.5140.4–171.9137.4117.7–155.8
2054156.8141.1–170.8137116–152.4
2055158.2142.7–173.3139.6120–157.2
2056156141.1–171.6135.8117.3–154.1
2057156.1141.8–172.7141.5119.5–158.8
2058154.5140.9–174.7137.1114.3–154.7
2059157.2142–174.5141.4122.6–156.6
2060159.2144–174.7142.5124.1–158.6
2061159.5145–172.5142.3123.2–157.4
2062158.3141–177.3141.3118.8–161.2
2063159.9146.1–173.7143.1125.6–160.6
2064158.6145.7–173.7140.7119.8–163.5
2065160.2145.1–172.3141.1121.5–159.3
2066158.8142–175143.8122.5–163.4
2067159.5143–175.9144.2125.9–162.3
2068161.3144.4–178.2143.2126–162.2
2069162.3145.1–175.5144.7119.8–163.2
2070160.4145.7–174.4143.7126.5–163
2071160.6145.4–178.6145.5121.8–164.4
2072162.8146.3–177.9147.1125.5–165.1
2073162.7145.2–178.5149.2122.1–164.7
2074163.9144–177.8145.8126.7–162.2
2075160.4144.1–180.4145.1126.2–160.5
2076163.3147.8–178.9145.7126.4–165.9
2077162.4144.3–180.7146.1126.2–164.4
2078165.9149.6–179.1146.5121.4–164.4
2079164.3144.9–182.4144.6122.7–161
2080165146.2–179.5148.2123.7–166.4
2081162.1147.7–180.9145.8122.2–167
2082164.9147.1–180.4146123.3–168.8
2083164146.8–181.5148.3127–167.4
2084166.2149.7–182.4150.5128.5–167.6
2085167.2147.2–184.4149.9126.1–170.8
2086165.3149.1–183.2146.3124.2–165
2087164.7145.7–182.9149.9124.3–167.3
2088167.4149.3–185.4149.3127.9–169.7
2089165.7150.6–183.5148.9129.6–166.7
2090166.6145.7–182.2150.3131.5–166.7
2091166.2151.4–181.9151.1128.4–168.7
2092167.3150.5–181.6150.5129.8–170.2
2093166.7149.5–183.8151.6131.8–167.9
2094166.3149.9–181.5151.5130.4–168.6
2095165.9149.1–181.2152.5130.6–169.2
2096167.6151.7–184.1150.8124.2–169
2097163.7150.4–179.7149.4130.3–167.5
2098167.4151.6–183.7151.7125.4–168.2
2099169.7151.3–185.2151.6124.4–170.6
2100164.2148.5–185.5147.6125.2–167.5

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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