Pakistan vs Philippines

Pakistan vs Philippines: Tropical nights

Tropical nights in 2014: 149.9 nights in Pakistan and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 181.6 nights, or 2.21 times that in Pakistan.

Watch it change on the map

nights a year · CMIP6

Pakistan vs Philippines: Tropical nightsTropical nights in 2014: 149.9 nights in Pakistan and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 181.6 nights, or 2.21 times that in Pakistan.
PakistanPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines 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 Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearPakistanPhilippines
2014149.9331.5
2013149.1330.9
2012149.9331.1
2011149329.8
2010148.4330.6
2009147.1329
2008147.4327.5
2007147.3327.8
2006146.7328.7
2005146.5329.7
2004147.5329.4
2003146327.1
2002148.3328.9
2001145.4327.8
2000144.7326.8
1999146.9327.5
1998144.8326.5
1997143.2325.4
1996141.2324.6
1995141.8324.2
1994142.1321.5
1993140.4319.5
1992139.9318.4
1991142.5324.1
1990142.6323.5
1989142.5322.5
1988140.3324
1987140323.1
1986140322.1
1985140321.4
1984138.9321.7
1983136.3319.4
1982138.5320.5
1981141.5320.4
1980139.5322.7
1979139.1321.2
1978139320.6
1977138.6319.8
1976139.2319.6
1975136.5319.6
1974138.7320
1973137.8319.4
1972137.4318.9
1971136318.8
1970137.7319
1969135.9318.7
1968136.6317.2
1967135.2317.4
1966136.9318.8
1965138.3317.2
1964135.1314.9
1963135.7317.2
1962137318.6
1961138.6319.3
1960139318.6
1959138.6320.5
1958137.7321.8
1957140319.4
1956137.8320
1955137.5319.3
1954137.8317.7
1953136.9320
1952138.1319
1951136.7319.8
1950139.1320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPakistanPhilippines
2015152.4138.7–163.3333319.8–339.5
2016150.6139.4–161.7334.2322.8–340.7
2017151.3138.8–162333.4319.7–339.8
2018152.6139.8–161.8333.2320.1–340.1
2019151.8138.1–163.3334.1323.4–341.2
2020153.1140.3–164.5334.6322.6–341.8
2021154.1140.6–165.7335.6323.3–341.1
2022153.1140.2–165.7335.7323.3–342.1
2023155.5141.6–165.9336.7324.8–343.2
2024156.8143.3–168.7337.2325.7–343.9
2025155.7141.5–168.6336.3326.2–342.8
2026155.3142.2–167.9336.5322.9–343
2027156.8140.9–168.9336.2325.7–342.3
2028156.5143.9–167.6337.1325.5–343.8
2029155.9141.5–167.7338.1327.2–344.6
2030156.3143.3–167.6337.7326.2–344.4
2031157.3144.4–168.1337.1325.6–343.8
2032157.4142.5–169.6339.4329.5–346.1
2033157.7143.6–169.4339.7329.6–345.5
2034159.5145.6–173.4338.8328.8–345
2035159.3146.7–170.3338.6327.5–346.4
2036159.1147.5–171.4339.6327.8–346.9
2037162.2147.5–175.3339.8329.1–345.5
2038161.4148.6–171.7341.9330.7–347.7
2039160148.2–170.4341.2330.4–346.9
2040160.9147.9–171.3340.4328.1–347.6
2041160.8146.7–171.7341.1329.1–346.7
2042162.3149.9–175.6342331.4–347.7
2043161.1150.3–173.8341.3329–348.1
2044163150.9–173.9342.8329.9–349.8
2045163149.5–174.8343.4333.8–348.7
2046163.5149.8–177.2342.7330.2–348.7
2047165.2151.8–178.5343.2331.7–350.6
2048166.4154.1–179.4343.3332.7–350.6
2049165150.8–178.2343.2332.5–349.5
2050166.9153.5–179.3344.3332.6–349.9
2051165.6150.8–180344.4334.9–350.8
2052166.7155.4–179.5344.1333.5–350.9
2053166.3154.2–178.8344.3333.6–350.3
2054167.5153.9–181343.4332–349.9
2055167.8155.8–182.5344.3334.4–350.5
2056166.3153.6–179.7345334.6–352.6
2057168.3153.9–182.3345.5335.1–351.5
2058167.5157–179.9345.8334.3–351.3
2059170.9155.9–183.8345.5333.7–351.6
2060170.3156.5–181.8346.8335.5–353.5
2061168.8156.8–179.6345.9335–351.8
2062171.6153.5–186.5346335.2–353.5
2063171.3159.5–183.8346.6336.2–352.8
2064170.2155.3–184.5346.9335.3–353
2065169.7156.4–185346.1335.9–351.9
2066172.2157–186.7346.5335.4–352.4
2067173.2160.2–186.3346.1335.4–352
2068172.6157.7–186.3347.1335.1–354.1
2069171.8157.3–185.6347333.8–353.6
2070171.7158.9–186.7346.7336.1–352.7
2071173.4158.7–186.8347.6336.2–353.9
2072174161.5–186.9347334.4–353.8
2073175.6157.2–187.9348.4336.7–355
2074173.5160–186.3348.6337–354.9
2075173161.5–187.8347.9337.2–354
2076172.9158.8–186.7348.4337–355.1
2077175161.3–187.8348.7337–354.8
2078174.4160.9–189.3348.4338.2–354.7
2079172.5158.3–187.7348.8337.6–354.7
2080175.1160.7–189.2349.1338.4–355.9
2081174.9159.2–190.2348.8336.9–355.1
2082175.4161.8–190.6349.6338–354.9
2083176.5161.8–190.8349.9337.9–356.1
2084176.1160.9–190.5349.5336.7–356.4
2085176.3161.9–193.6349.1338.2–355.4
2086173.9160–189.1349.4337.5–354.9
2087176161–193.1349.7338.7–356
2088175.4160.5–195.2349.9338.9–356.1
2089177.2164.2–191.7350.2339.8–355.2
2090177.7163.9–192.2350.1339.7–355.9
2091177.8162.8–192.2349.5339.5–356.3
2092178.7162.9–192.9350.5339.3–356.1
2093177164–191350.4337.9–356.5
2094176.8164.1–190.7350.5338.4–355.9
2095178.6163.8–193.1350.5338.3–355.7
2096177.8163.7–192.5351.1339–358
2097177.3160.4–192.5350.2339.3–355.6
2098178.7162.6–195.7350.3337.4–355.2
2099176159.9–193.2350.6339.3–356.4
2100177.6162.2–193351.3340.2–356.3

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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