Philippines vs Saudi Arabia

Philippines vs Saudi Arabia: Tropical nights

Tropical nights in 2014: 331.5 nights in Philippines and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 150 nights, or 1.83 times that in Saudi Arabia.

nights a year · CMIP6

Philippines vs Saudi Arabia: Tropical nightsTropical nights in 2014: 331.5 nights in Philippines and 181.5 nights in Saudi Arabia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 150 nights, or 1.83 times that in Saudi Arabia.
PhilippinesSaudi ArabiaCMIP6 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 Philippines at 351.3 nights and Saudi Arabia at 218.7 nights in 2100.

Every year

nights a year · CMIP6

YearPhilippinesSaudi Arabia
2014331.5181.5
2013330.9180.4
2012331.1182.8
2011329.8182.7
2010330.6179.2
2009329177.1
2008327.5180.3
2007327.8178.9
2006328.7177.5
2005329.7177.9
2004329.4177.6
2003327.1177.4
2002328.9175.6
2001327.8178.1
2000326.8176.4
1999327.5173.2
1998326.5173.4
1997325.4173.8
1996324.6172
1995324.2169.2
1994321.5170.4
1993319.5164.6
1992318.4165.9
1991324.1169.2
1990323.5172.7
1989322.5168.9
1988324166.8
1987323.1167.3
1986322.1169.4
1985321.4166
1984321.7165
1983319.4163.5
1982320.5164.7
1981320.4168.9
1980322.7166.8
1979321.2165.3
1978320.6164.8
1977319.8165.6
1976319.6165.9
1975319.6161.2
1974320162.9
1973319.4163.7
1972318.9163.7
1971318.8160.4
1970319162.5
1969318.7161.3
1968317.2162.7
1967317.4159.5
1966318.8159.5
1965317.2159.5
1964314.9159.9
1963317.2160.2
1962318.6163.2
1961319.3163.7
1960318.6165.7
1959320.5164.4
1958321.8164.1
1957319.4165.5
1956320163.6
1955319.3162
1954317.7161.2
1953320162.5
1952319163.4
1951319.8161.2
1950320.4161.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPhilippinesSaudi Arabia
2015333319.8–339.5184.9169.4–198.7
2016334.2322.8–340.7183167.7–195.7
2017333.4319.7–339.8182.6168.1–196.7
2018333.2320.1–340.1186.8173.1–199.4
2019334.1323.4–341.2184.1168.8–199.1
2020334.6322.6–341.8185.3171.8–198.9
2021335.6323.3–341.1188.6173.6–202.8
2022335.7323.3–342.1187.6170.7–202
2023336.7324.8–343.2188.6173–203.8
2024337.2325.7–343.9187.1172.9–203.9
2025336.3326.2–342.8191.5176–206.1
2026336.5322.9–343191.8177.1–205.5
2027336.2325.7–342.3191.2176.6–206.8
2028337.1325.5–343.8191.9175.5–205.1
2029338.1327.2–344.6192.2176.6–205.7
2030337.7326.2–344.4193.3178.4–206.3
2031337.1325.6–343.8194.7179.1–207.6
2032339.4329.5–346.1192.2175.2–206
2033339.7329.6–345.5192.6177.5–206.9
2034338.8328.8–345196.7181.6–213
2035338.6327.5–346.4196.5179.9–211.6
2036339.6327.8–346.9194.1180–209.7
2037339.8329.1–345.5197183.7–209.9
2038341.9330.7–347.7198.4182.3–213.3
2039341.2330.4–346.9198184.4–213.6
2040340.4328.1–347.6199.2182.1–212.7
2041341.1329.1–346.7197.7181.4–211.7
2042342331.4–347.7198.3181.2–217
2043341.3329–348.1198.2182.3–215.3
2044342.8329.9–349.8199.2185.5–213.5
2045343.4333.8–348.7202187.1–216.8
2046342.7330.2–348.7204.1185.3–219.4
2047343.2331.7–350.6204.1187.4–220
2048343.3332.7–350.6206.1190.7–220
2049343.2332.5–349.5201.6187.7–216.2
2050344.3332.6–349.9205.7190.2–219.3
2051344.4334.9–350.8204.3188.8–222.1
2052344.1333.5–350.9203.8189.6–218
2053344.3333.6–350.3203.8186.3–218.8
2054343.4332–349.9207.6188.3–222.3
2055344.3334.4–350.5207.8190.8–221
2056345334.6–352.6203.7186.6–220.1
2057345.5335.1–351.5207.5188.8–224.2
2058345.8334.3–351.3205.9189.2–221.4
2059345.5333.7–351.6207.3191.6–226.9
2060346.8335.5–353.5206.9192.7–222.8
2061345.9335–351.8206.5190.4–220.9
2062346335.2–353.5208.1189.4–228.3
2063346.6336.2–352.8210.4193–227.1
2064346.9335.3–353207.5191.9–223.3
2065346.1335.9–351.9208.9193.9–226.1
2066346.5335.4–352.4210.3194.9–228
2067346.1335.4–352210.9193.1–228.6
2068347.1335.1–354.1209.8194.6–228.6
2069347333.8–353.6208.9194.5–226.3
2070346.7336.1–352.7211.2191.2–229
2071347.6336.2–353.9215.1196.3–233.3
2072347334.4–353.8213.6195.3–229.3
2073348.4336.7–355213.7194.1–231.6
2074348.6337–354.9210.5191.9–229.3
2075347.9337.2–354212.1196.6–231.8
2076348.4337–355.1212.8194.8–230.3
2077348.7337–354.8215.1196.6–233.9
2078348.4338.2–354.7215.5197.6–230.7
2079348.8337.6–354.7213.6197–229
2080349.1338.4–355.9213.6197.1–233.9
2081348.8336.9–355.1214.7194.4–231.6
2082349.6338–354.9214198.9–230.9
2083349.9337.9–356.1214.2198.5–238
2084349.5336.7–356.4217.4197.4–233.1
2085349.1338.2–355.4217.4199.6–237.9
2086349.4337.5–354.9217197.4–237.4
2087349.7338.7–356217.3199.7–238.7
2088349.9338.9–356.1216.1198.2–243.1
2089350.2339.8–355.2217.6199.5–239
2090350.1339.7–355.9217.3198.5–239.2
2091349.5339.5–356.3218.5202.8–238.4
2092350.5339.3–356.1218.5198.5–241.6
2093350.4337.9–356.5216.6197.8–236.3
2094350.5338.4–355.9218.8202–236.9
2095350.5338.3–355.7219.4204.2–237.4
2096351.1339–358219.9197.7–239.6
2097350.2339.3–355.6216.7196.8–239.7
2098350.3337.4–355.2219.7199.6–241.3
2099350.6339.3–356.4216.8200.8–236.8
2100351.3340.2–356.3218.7202.3–241

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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