Pakistan vs United States

Pakistan vs United States: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 110.1 nights, or 3.77 times that in United States.

nights a year · CMIP6

Pakistan vs United States: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 110.1 nights, or 3.77 times that in United States.
PakistanUnited StatesCMIP6 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 177.6 nights and United States at 63.9 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanUnited States
2014149.939.8
2013149.138.9
2012149.938.7
201114938.4
2010148.438.3
2009147.137.5
2008147.436.8
2007147.337.7
2006146.737.6
2005146.536.8
2004147.535.8
200314636
2002148.337.7
2001145.436.7
2000144.735.5
1999146.936.1
1998144.834.8
1997143.235.1
1996141.233.6
1995141.833.6
1994142.132.4
1993140.430.9
1992139.929.4
1991142.533.7
1990142.633.8
1989142.532.9
1988140.333
198714032.1
198614031.5
198514032
1984138.930.1
1983136.328.4
1982138.530.8
1981141.532.9
1980139.530.7
1979139.132.1
197813931.6
1977138.631.6
1976139.229.7
1975136.531.1
1974138.729.8
1973137.829.9
1972137.430.7
197113630
1970137.729.7
1969135.930.4
1968136.629.5
1967135.229.7
1966136.929.1
1965138.328.6
1964135.128.1
1963135.730
196213730.8
1961138.631.9
196013931.1
1959138.631
1958137.730.6
195714031
1956137.832
1955137.530.7
1954137.830.8
1953136.931.3
1952138.130.6
1951136.730.7
1950139.130.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanUnited States
2015152.4138.7–163.340.932.9–49.8
2016150.6139.4–161.741.933.3–52
2017151.3138.8–1624234–50.6
2018152.6139.8–161.84333.9–52.5
2019151.8138.1–163.343.234.3–52.6
2020153.1140.3–164.542.833.9–53.1
2021154.1140.6–165.742.833.8–52.7
2022153.1140.2–165.743.634.5–52.3
2023155.5141.6–165.944.535–55.5
2024156.8143.3–168.744.935.9–54.5
2025155.7141.5–168.64636.7–55.5
2026155.3142.2–167.944.735.6–54.8
2027156.8140.9–168.946.437.3–58.4
2028156.5143.9–167.645.836.5–56.6
2029155.9141.5–167.746.936.9–57.7
2030156.3143.3–167.646.936.6–58.8
2031157.3144.4–168.146.337–55.7
2032157.4142.5–169.646.236.9–56.5
2033157.7143.6–169.449.439.1–60.3
2034159.5145.6–173.447.738.7–58.6
2035159.3146.7–170.347.737.5–59.6
2036159.1147.5–171.449.439.2–61.8
2037162.2147.5–175.348.639.1–59.8
2038161.4148.6–171.750.240.4–59.8
2039160148.2–170.450.240.5–60.9
2040160.9147.9–171.350.739.8–61.8
2041160.8146.7–171.749.840.1–61.2
2042162.3149.9–175.651.441–63.1
2043161.1150.3–173.851.341.4–62.2
2044163150.9–173.951.340.5–63.3
2045163149.5–174.852.441.5–64.7
2046163.5149.8–177.253.343.3–64.1
2047165.2151.8–178.553.844.1–66.5
2048166.4154.1–179.453.542.2–66
2049165150.8–178.253.743.2–65.9
2050166.9153.5–179.354.943–67.2
2051165.6150.8–18054.743.5–67.5
2052166.7155.4–179.553.642–66.1
2053166.3154.2–178.854.342.4–66.8
2054167.5153.9–18154.543.1–67
2055167.8155.8–182.555.142.4–68
2056166.3153.6–179.755.844.3–70
2057168.3153.9–182.356.244.6–68.1
2058167.5157–179.956.144.4–70.4
2059170.9155.9–183.855.544.5–67.9
2060170.3156.5–181.856.144.9–68.3
2061168.8156.8–179.65746–69
2062171.6153.5–186.557.443.9–70.3
2063171.3159.5–183.857.244.7–70.8
2064170.2155.3–184.55643–68.2
2065169.7156.4–18556.544.2–71
2066172.2157–186.758.747.4–71.2
2067173.2160.2–186.358.647.2–71.4
2068172.6157.7–186.358.846.1–71.7
2069171.8157.3–185.659.646.8–73
2070171.7158.9–186.757.944.7–72.8
2071173.4158.7–186.85946.5–72
2072174161.5–186.958.746.4–72.9
2073175.6157.2–187.959.345.8–72.1
2074173.5160–186.360.546.4–74.6
2075173161.5–187.859.846.6–75.3
2076172.9158.8–186.759.647.5–74.4
2077175161.3–187.860.147.9–74.3
2078174.4160.9–189.360.747–76
2079172.5158.3–187.761.148.3–76.2
2080175.1160.7–189.261.448.8–76.8
2081174.9159.2–190.26149.2–74.7
2082175.4161.8–190.661.748.1–75.9
2083176.5161.8–190.862.849.6–77.6
2084176.1160.9–190.562.248.1–76.8
2085176.3161.9–193.66247.9–76
2086173.9160–189.16449–78.8
2087176161–193.163.349.5–77.3
2088175.4160.5–195.263.148.2–78.4
2089177.2164.2–191.761.648.8–76.6
2090177.7163.9–192.264.950.6–79
2091177.8162.8–192.264.750–78.6
2092178.7162.9–192.96448.1–79
2093177164–19164.350.1–80.2
2094176.8164.1–190.763.248.2–78.9
2095178.6163.8–193.164.149.8–79.8
2096177.8163.7–192.56549.9–79.6
2097177.3160.4–192.563.347.3–81.2
2098178.7162.6–195.764.349.7–79.2
2099176159.9–193.264.350.3–79.5
2100177.6162.2–19363.950.3–80.2

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

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