Egypt vs Pakistan

Egypt vs Pakistan: Tropical nights

Tropical nights in 2014: 145 nights in Egypt and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 4.9 nights, or 1.03 times that in Egypt.

nights a year · CMIP6

Egypt vs Pakistan: Tropical nightsTropical nights in 2014: 145 nights in Egypt and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 4.9 nights, or 1.03 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 183.4 nights and Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearEgyptPakistan
2014145149.9
2013145149.1
2012145.1149.9
2011144.7149
2010143.5148.4
2009140.2147.1
2008142.6147.4
2007140.5147.3
2006139.6146.7
2005140146.5
2004141.3147.5
2003141146
2002137.7148.3
2001139145.4
2000134.8144.7
1999135.5146.9
1998133144.8
1997134143.2
1996132.1141.2
1995130.2141.8
1994129.8142.1
1993123.6140.4
1992126.1139.9
1991129.7142.5
1990129.7142.6
1989126142.5
1988124.3140.3
1987125.8140
1986128.9140
1985125.7140
1984119.4138.9
1983119.4136.3
1982120.7138.5
1981122.6141.5
1980124.9139.5
1979119.2139.1
1978122.6139
1977121.3138.6
1976123.2139.2
1975121.9136.5
1974123.1138.7
1973123.5137.8
1972120.1137.4
1971120.7136
1970119.7137.7
1969118.3135.9
1968119.4136.6
1967116.2135.2
1966116.1136.9
1965112.9138.3
1964116.4135.1
1963120.2135.7
1962118.9137
1961118.7138.6
1960123.6139
1959123.2138.6
1958120.7137.7
1957122.4140
1956122.7137.8
1955119.4137.5
1954120.8137.8
1953121.3136.9
1952120.7138.1
1951121.2136.7
1950118.8139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEgyptPakistan
2015149.6131.4–164.2152.4138.7–163.3
2016147.7133.5–160.2150.6139.4–161.7
2017150.8134.8–163.2151.3138.8–162
2018147.4133.4–165.6152.6139.8–161.8
2019149.6132.7–164151.8138.1–163.3
2020150.8136.4–164.7153.1140.3–164.5
2021152.1137.8–168.1154.1140.6–165.7
2022154138.1–170.6153.1140.2–165.7
2023154.4139–168.4155.5141.6–165.9
2024155.8141.7–168.5156.8143.3–168.7
2025154.5139.6–168.1155.7141.5–168.6
2026155.1144.5–165.9155.3142.2–167.9
2027154.2139.5–166.3156.8140.9–168.9
2028154.5141.8–168.6156.5143.9–167.6
2029156.3139.9–169.5155.9141.5–167.7
2030156.3143.1–169.1156.3143.3–167.6
2031155.5141.5–171.2157.3144.4–168.1
2032158.3144.6–170.4157.4142.5–169.6
2033159.9143.8–172.9157.7143.6–169.4
2034159.8144.9–173.2159.5145.6–173.4
2035163.5146.6–175.8159.3146.7–170.3
2036156.2143.7–170.6159.1147.5–171.4
2037158.8142.9–173.8162.2147.5–175.3
2038164.9146.1–177.8161.4148.6–171.7
2039161.8146.1–180.1160148.2–170.4
2040161.6147.9–176.5160.9147.9–171.3
2041163.7149.4–177.3160.8146.7–171.7
2042166.5149.7–180.6162.3149.9–175.6
2043163.6150.3–176.8161.1150.3–173.8
2044162.2147–178163150.9–173.9
2045167.2152.5–181163149.5–174.8
2046166149–181.1163.5149.8–177.2
2047165.9151.8–181.5165.2151.8–178.5
2048167.2154.5–180.1166.4154.1–179.4
2049165.3148.7–177.9165150.8–178.2
2050170152.8–183166.9153.5–179.3
2051165.6152.7–179.5165.6150.8–180
2052167.3156–180.2166.7155.4–179.5
2053170.1153.6–183.8166.3154.2–178.8
2054169153.3–183167.5153.9–181
2055170.5153.5–183.3167.8155.8–182.5
2056168.3151.2–181.4166.3153.6–179.7
2057166.8150.7–185.3168.3153.9–182.3
2058171.8154.2–188.2167.5157–179.9
2059173.3157.8–188.6170.9155.9–183.8
2060170.5154.8–189.3170.3156.5–181.8
2061170.3155.1–184.6168.8156.8–179.6
2062172.1155.2–185.7171.6153.5–186.5
2063169.7152.8–182.6171.3159.5–183.8
2064172.3155.9–187.2170.2155.3–184.5
2065173.3159.7–189.9169.7156.4–185
2066170155–187.7172.2157–186.7
2067176.2161.5–190173.2160.2–186.3
2068174.6157.3–193.1172.6157.7–186.3
2069175.8158.8–191.7171.8157.3–185.6
2070173.3158.3–191.7171.7158.9–186.7
2071176.8158.1–194.7173.4158.7–186.8
2072177.6160.8–192.1174161.5–186.9
2073176159.2–189.3175.6157.2–187.9
2074171.9156.5–194.1173.5160–186.3
2075171.8157–191.9173161.5–187.8
2076177161–194.6172.9158.8–186.7
2077179.7157–194.1175161.3–187.8
2078178.4161–195174.4160.9–189.3
2079178.2160.2–193.7172.5158.3–187.7
2080178.5163–193.3175.1160.7–189.2
2081177.2160–192.8174.9159.2–190.2
2082178.8164.5–193.3175.4161.8–190.6
2083180.6164.4–195.7176.5161.8–190.8
2084181.4162.4–197.8176.1160.9–190.5
2085178.8163–196.7176.3161.9–193.6
2086181.9166.6–198.8173.9160–189.1
2087178156.4–194.3176161–193.1
2088177.8163.5–196175.4160.5–195.2
2089180.9163.5–198.9177.2164.2–191.7
2090179.9162.4–197.8177.7163.9–192.2
2091184.2165.1–198.9177.8162.8–192.2
2092180.3162.9–196.3178.7162.9–192.9
2093181.1166.1–198.2177164–191
2094185.4168–198.9176.8164.1–190.7
2095181.9165.5–197.3178.6163.8–193.1
2096183.1163.5–200.3177.8163.7–192.5
2097181.5165.4–198.9177.3160.4–192.5
2098181.7162.1–198.8178.7162.6–195.7
2099179.9164.2–197.8176159.9–193.2
2100183.4162.9–198.1177.6162.2–193

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °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

Egypt vs Pakistan

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment