Pakistan vs Vietnam

Pakistan vs Vietnam: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 92.7 nights, or 1.62 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

Pakistan vs Vietnam: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 92.7 nights, or 1.62 times that in Pakistan.
PakistanVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanVietnam
2014149.9242.6
2013149.1243.6
2012149.9242.4
2011149241.9
2010148.4240.9
2009147.1240
2008147.4238.7
2007147.3238
2006146.7239.1
2005146.5238.3
2004147.5241.8
2003146235.9
2002148.3236.3
2001145.4241.3
2000144.7237
1999146.9236
1998144.8236.8
1997143.2237.1
1996141.2231.4
1995141.8229.9
1994142.1231.2
1993140.4225.3
1992139.9221.9
1991142.5229.8
1990142.6233.1
1989142.5229.2
1988140.3231.7
1987140230.3
1986140230.9
1985140228
1984138.9230.2
1983136.3224.9
1982138.5227.5
1981141.5229.7
1980139.5228.1
1979139.1228.9
1978139227.5
1977138.6229
1976139.2225.8
1975136.5225.8
1974138.7225.7
1973137.8230.3
1972137.4225.6
1971136225.5
1970137.7226.1
1969135.9227
1968136.6227.1
1967135.2222.9
1966136.9226.8
1965138.3225.4
1964135.1222.6
1963135.7224.3
1962137227.8
1961138.6229.4
1960139228.5
1959138.6226.2
1958137.7230.9
1957140228.4
1956137.8228.7
1955137.5227.5
1954137.8226.3
1953136.9228.2
1952138.1228.5
1951136.7229.2
1950139.1228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanVietnam
2015152.4138.7–163.3245.8228.2–261.9
2016150.6139.4–161.7243.7226.1–259.4
2017151.3138.8–162247229.6–260.7
2018152.6139.8–161.8248.3228.8–263.3
2019151.8138.1–163.3248.1229.2–262.8
2020153.1140.3–164.5248.8229.6–262.9
2021154.1140.6–165.7251.1233.1–266.7
2022153.1140.2–165.7252.4234.3–266.8
2023155.5141.6–165.9253.4235.4–266.6
2024156.8143.3–168.7251.3236.7–264.6
2025155.7141.5–168.6252.4234.1–266.2
2026155.3142.2–167.9252.8232.9–268.5
2027156.8140.9–168.9253.2237–268.8
2028156.5143.9–167.6254.3237.7–272
2029155.9141.5–167.7258.1238.5–273.7
2030156.3143.3–167.6256.4240.9–270.1
2031157.3144.4–168.1255.9241.2–270.9
2032157.4142.5–169.6257.4239.1–269.9
2033157.7143.6–169.4258.3241.7–273.2
2034159.5145.6–173.4258.8240.7–275.8
2035159.3146.7–170.3258.6242.5–275.4
2036159.1147.5–171.4258.3239.1–273.8
2037162.2147.5–175.3258.7242.4–272.4
2038161.4148.6–171.7263.4247.6–277.3
2039160148.2–170.4260.2243.7–275.9
2040160.9147.9–171.3260.1242.8–274.8
2041160.8146.7–171.7263.1245.9–279
2042162.3149.9–175.6263.6246.5–279
2043161.1150.3–173.8261.4245.5–279.6
2044163150.9–173.9263.2245.2–277.6
2045163149.5–174.8265.5249.6–281.4
2046163.5149.8–177.2264.9246.8–278.1
2047165.2151.8–178.5266.9250.4–282.9
2048166.4154.1–179.4268250.5–283.8
2049165150.8–178.2267.8251.2–284.8
2050166.9153.5–179.3268251.2–283.5
2051165.6150.8–180270.9254.3–285.4
2052166.7155.4–179.5268.3253.3–282.8
2053166.3154.2–178.8268.5250.1–283.2
2054167.5153.9–181269.1250.8–283.6
2055167.8155.8–182.5270249.8–284.2
2056166.3153.6–179.7271.7254.8–290.1
2057168.3153.9–182.3270253–285.7
2058167.5157–179.9270.7252.9–286.5
2059170.9155.9–183.8273257.6–286.6
2060170.3156.5–181.8275.7255.6–290.6
2061168.8156.8–179.6273.5254.6–289.5
2062171.6153.5–186.5271.4253.1–290.2
2063171.3159.5–183.8272.9252.7–288.1
2064170.2155.3–184.5273.8254.4–288.1
2065169.7156.4–185272255.8–286.3
2066172.2157–186.7271.8254.4–287.3
2067173.2160.2–186.3270.8252.1–287.6
2068172.6157.7–186.3275.6256.9–292.4
2069171.8157.3–185.6276.4258.5–292
2070171.7158.9–186.7274.6257.8–292.8
2071173.4158.7–186.8276.2255.2–294.1
2072174161.5–186.9277256.8–291.4
2073175.6157.2–187.9278.5262.7–293.4
2074173.5160–186.3277.6259.2–295.8
2075173161.5–187.8276.4258.7–294.4
2076172.9158.8–186.7279.2258.5–296.6
2077175161.3–187.8280264.9–294.7
2078174.4160.9–189.3278.4258.6–295.5
2079172.5158.3–187.7279.3263.4–293.6
2080175.1160.7–189.2280261.4–296.5
2081174.9159.2–190.2280.4261.2–297.9
2082175.4161.8–190.6280.9258.9–296
2083176.5161.8–190.8278.4261.6–295
2084176.1160.9–190.5279257.4–293.8
2085176.3161.9–193.6281.3265–297.8
2086173.9160–189.1282.3260.2–297.5
2087176161–193.1281.9261.3–300.7
2088175.4160.5–195.2283.1265.7–301.5
2089177.2164.2–191.7280.8261.2–301.6
2090177.7163.9–192.2280.5264.5–297.6
2091177.8162.8–192.2283.3264.3–298.9
2092178.7162.9–192.9281.1261.5–299.4
2093177164–191280.5263.4–296.1
2094176.8164.1–190.7283264.5–300
2095178.6163.8–193.1285.5264.5–302.9
2096177.8163.7–192.5281.8264.8–299.8
2097177.3160.4–192.5281.5263.3–299
2098178.7162.6–195.7282.5263.9–301.5
2099176159.9–193.2282.7265.1–298
2100177.6162.2–193282.7261–298.2

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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