Pakistan vs South Africa

Pakistan vs South Africa: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 122.8 nights, or 5.53 times that in South Africa.

nights a year · CMIP6

Pakistan vs South Africa: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 122.8 nights, or 5.53 times that in South Africa.
PakistanSouth AfricaCMIP6 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 South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanSouth Africa
2014149.927.1
2013149.128.3
2012149.927.9
201114926.1
2010148.426
2009147.125.8
2008147.424.8
2007147.324.7
2006146.725.5
2005146.525.3
2004147.525.8
200314625.1
2002148.325
2001145.424.5
2000144.723.3
1999146.923
1998144.823.4
1997143.222.5
1996141.220.4
1995141.819.3
1994142.120
1993140.418.1
1992139.918.1
1991142.522.3
1990142.622.7
1989142.522
1988140.321.2
198714021.9
198614021
198514018.9
1984138.920
1983136.319
1982138.520.3
1981141.520
1980139.521.2
1979139.119.9
197813919.8
1977138.619.2
1976139.219.2
1975136.518.8
1974138.719.7
1973137.819.6
1972137.419
197113619.1
1970137.718.6
1969135.918.7
1968136.617.8
1967135.217.5
1966136.917.8
1965138.317.2
1964135.114.9
1963135.716.5
196213719.6
1961138.619.7
196013919.8
1959138.618.5
1958137.719.3
195714019.4
1956137.818
1955137.519.5
1954137.818.4
1953136.918.4
1952138.119.3
1951136.718.9
1950139.118.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanSouth Africa
2015152.4138.7–163.328.620–39.5
2016150.6139.4–161.726.817.8–37.9
2017151.3138.8–16228.919.6–37.8
2018152.6139.8–161.829.620.6–40.6
2019151.8138.1–163.329.820.8–41.5
2020153.1140.3–164.529.518.9–39.1
2021154.1140.6–165.731.121.4–42.9
2022153.1140.2–165.73223.7–43.1
2023155.5141.6–165.931.922.9–41.8
2024156.8143.3–168.73324–45.6
2025155.7141.5–168.631.920.7–44.5
2026155.3142.2–167.934.521.9–46.9
2027156.8140.9–168.934.423–47.7
2028156.5143.9–167.633.522.9–46
2029155.9141.5–167.736.226.5–48.3
2030156.3143.3–167.636.124.9–49
2031157.3144.4–168.136.324.5–50.3
2032157.4142.5–169.636.424.5–49.2
2033157.7143.6–169.436.924.5–48.3
2034159.5145.6–173.437.626.4–51.8
2035159.3146.7–170.337.625.2–49.5
2036159.1147.5–171.43826.5–50.5
2037162.2147.5–175.339.928.2–53.4
2038161.4148.6–171.741.528.4–54.2
2039160148.2–170.439.227–52.9
2040160.9147.9–171.338.125.6–55.6
2041160.8146.7–171.740.227.4–54.3
2042162.3149.9–175.64229–56.4
2043161.1150.3–173.842.128.2–58.4
2044163150.9–173.941.929.5–57.8
2045163149.5–174.842.728.2–59
2046163.5149.8–177.244.130–59.5
2047165.2151.8–178.544.630.7–61.2
2048166.4154.1–179.44531.9–61.5
2049165150.8–178.245.632.3–61.4
2050166.9153.5–179.346.931–63.6
2051165.6150.8–18047.532–65
2052166.7155.4–179.548.332.7–64.3
2053166.3154.2–178.845.733.7–62.1
2054167.5153.9–1814833.3–64.3
2055167.8155.8–182.546.833–68.4
2056166.3153.6–179.747.933.2–64.8
2057168.3153.9–182.350.232.6–68.9
2058167.5157–179.947.934–66.4
2059170.9155.9–183.851.333.1–66.9
2060170.3156.5–181.851.936–69.9
2061168.8156.8–179.650.534.8–71.3
2062171.6153.5–186.550.532.7–71
2063171.3159.5–183.850.434.3–69.7
2064170.2155.3–184.55134.1–67.7
2065169.7156.4–18550.433.6–70.2
2066172.2157–186.75335.7–72.4
2067173.2160.2–186.350.634.8–70.4
2068172.6157.7–186.354.837.8–72.5
2069171.8157.3–185.654.339.1–73.4
2070171.7158.9–186.754.337.2–73.3
2071173.4158.7–186.855.837.9–76.9
2072174161.5–186.95639.4–78.6
2073175.6157.2–187.960.443.4–80.3
2074173.5160–186.357.439.1–75.3
2075173161.5–187.856.137.7–76
2076172.9158.8–186.758.538.4–75.3
2077175161.3–187.857.341–80.5
2078174.4160.9–189.35639.5–79
2079172.5158.3–187.757.639.3–78
2080175.1160.7–189.259.540.3–80.9
2081174.9159.2–190.25841.5–79.6
2082175.4161.8–190.658.839.7–77.7
2083176.5161.8–190.860.839.1–82.9
2084176.1160.9–190.562.540.4–82.9
2085176.3161.9–193.660.741.3–87.6
2086173.9160–189.160.542.1–83.3
2087176161–193.157.941–82.9
2088175.4160.5–195.264.243.4–85.3
2089177.2164.2–191.761.541.3–81.2
2090177.7163.9–192.261.641.5–86.8
2091177.8162.8–192.263.341.6–86.3
2092178.7162.9–192.963.144.9–84.8
2093177164–19162.443.2–86.1
2094176.8164.1–190.763.145.6–87.4
2095178.6163.8–193.165.342.6–91.7
2096177.8163.7–192.56142.7–90.1
2097177.3160.4–192.558.841.2–84.6
2098178.7162.6–195.765.143.8–89.8
2099176159.9–193.264.345–87
2100177.6162.2–19358.742–88.2

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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