Pakistan vs Yemen

Pakistan vs Yemen: Days above 35 °C

Days above 35 °C in 2014: 118.6 days in Pakistan and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 10.6 days, or 1.1 times that in Yemen.

days a year · CMIP6

Pakistan vs Yemen: Days above 35 °CDays above 35 °C in 2014: 118.6 days in Pakistan and 108 days in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 10.6 days, or 1.1 times that in Yemen.
PakistanYemenCMIP6 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 Pakistan at 147.6 days and Yemen at 148.4 days in 2100.

Every year

days a year · CMIP6

YearPakistanYemen
2014118.6108
2013117.5108.4
2012117.5108.5
2011118109.6
2010114.3106.6
2009115.3106.9
2008115.4104.4
2007112.5101.8
2006112.9104.3
2005114.9104
2004116.1104.3
2003114.6104.7
2002115.9105.5
2001114.4104.7
2000114.6104
1999114.2101.7
1998111.7101.6
1997112101
1996108.399.1
199511098.7
1994108.696.1
1993107.293.8
1992105.291.4
1991110.6100.4
1990110.7101
1989110.998.2
1988109.899.5
1987108.397.3
1986108.797
1985105.695.4
198410896.3
1983104.792.3
198210895.9
1981109.598.5
1980109.796.5
1979108.796.1
1978108.695.8
1977106.595.5
1976108.295
197510593.3
1974108.894.6
197310896
1972104.594.7
1971106.292.3
1970106.591.5
1969105.894
1968104.490.8
1967106.491.5
1966106.494.6
196510690.9
196410389.1
1963104.390.5
1962106.794.2
1961108.794.4
1960108.795
1959110.494.2
1958108.593.3
1957110.796.3
1956108.893.5
1955108.394.8
195410793.4
1953107.693.9
1952108.995.5
1951108.193.3
1950110.595
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanYemen
2015122100.8–136.6110.294.8–123.7
2016119.5104.9–132110.497.3–122
2017119.999.5–134.3110.694.4–122.4
2018119.7103–133.8111.994.4–125.7
2019118.997.2–133.8110.692.7–124.2
2020122.8105–136.3111.999.3–125.7
2021122.9103.2–138.2112.198.9–126.5
2022120.7101.9–136.411290.1–127.8
2023123.3104.8–138.8114.796.4–130.2
2024124.4105.4–139.1114.999.4–132.2
2025123.8102.8–139.1113.195.7–129.6
2026122.5101.9–141.8115.394.8–134.1
2027124.4101.5–141115.396.6–129.4
2028124.8103.6–140.2115.6100.7–131.6
2029126.499.2–141.6117.799.6–132.4
2030122.5103.5–140.1119102.7–131.5
2031122.7105.6–139.9119.4102.8–133.5
2032126104–143.9121104.8–136.1
2033125.9106.6–144.1121.7103.8–137.2
2034130.9113.2–147.8123.1104.2–139.8
2035127.1107.6–143.6122.2104.2–136.6
2036125.5108.3–143.4121.6105.4–136.4
2037130.7112.4–147.9121.8107–136.9
2038130.9108.6–144.9123.5109.3–140.2
2039128.6110.2–144.9124.4108.2–139.1
2040133.2115.1–146.1124.5109.7–141.3
2041127.2108.3–143.5124.3104.3–141.3
2042134.6112.8–150.7124.9106.5–142.7
2043131.6112.5–149.3126.2105.4–143
2044128.2108.1–145.9127.6108–143.1
2045133.4116.7–148.7128.1109.6–146.2
2046133.8109–151.1128.3108.5–146.3
2047134.6110–150.9127.9110.6–145.9
2048136117.1–152.3130.8111.1–149.5
2049133.3115.2–152.5131.1108.5–149
2050138.4119.4–157.4133112.8–150
2051138115.5–158.2130.7113.4–152.8
2052138.3120.3–155.3131.6110.6–146.5
2053137.4117.7–155.8131.5113–151.4
2054137116–152.4131.8110.9–149.6
2055139.6120–157.2135.7114.8–152.8
2056135.8117.3–154.1133.8115.7–153.4
2057141.5119.5–158.8135.8120.7–155.1
2058137.1114.3–154.7133.8111.9–152.4
2059141.4122.6–156.6134.2115.3–155.3
2060142.5124.1–158.6140.1121.7–155.9
2061142.3123.2–157.4138.2118.8–153.4
2062141.3118.8–161.2135.9115.9–160.4
2063143.1125.6–160.6139.9117.9–157.7
2064140.7119.8–163.5139.7118.2–155.7
2065141.1121.5–159.3135.1115.7–157.8
2066143.8122.5–163.4139.5116.6–156.9
2067144.2125.9–162.3141.6118.3–160.3
2068143.2126–162.2138.9117.7–161.2
2069144.7119.8–163.2141.4119–157.3
2070143.7126.5–163141.9120.6–161.6
2071145.5121.8–164.4143.6115.7–164.7
2072147.1125.5–165.1140.4119.8–157.6
2073149.2122.1–164.7143.8124.8–163.1
2074145.8126.7–162.2139.5118.2–162.4
2075145.1126.2–160.5142.5117.4–162.9
2076145.7126.4–165.9142.8122.6–161.6
2077146.1126.2–164.4144.4117.3–165.4
2078146.5121.4–164.4143.5122.8–166.6
2079144.6122.7–161144120.4–162.9
2080148.2123.7–166.4143.8119.6–167.9
2081145.8122.2–167146.8121.5–166.8
2082146123.3–168.8144.4122.4–167.3
2083148.3127–167.4144.2121.6–169.3
2084150.5128.5–167.6145.4122.6–167.4
2085149.9126.1–170.8147.9124.6–168.3
2086146.3124.2–165147121.3–167
2087149.9124.3–167.3148.2125.2–168.4
2088149.3127.9–169.7146.5126.6–169
2089148.9129.6–166.7147.9125.1–169.8
2090150.3131.5–166.7148.9122.3–169.4
2091151.1128.4–168.7149.7125.8–170.7
2092150.5129.8–170.2147.1128–170.3
2093151.6131.8–167.9147125.1–169.5
2094151.5130.4–168.6146.1127–166.9
2095152.5130.6–169.2149.8131.2–169.5
2096150.8124.2–169148.2124.1–172.3
2097149.4130.3–167.5146.3126.3–169.9
2098151.7125.4–168.2145.2119.7–172.3
2099151.6124.4–170.6149.9128.1–171.7
2100147.6125.2–167.5148.4131.4–169.2

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

Pakistan vs Yemen

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment