Philippines vs Thailand

Philippines vs Thailand: Tropical nights

Tropical nights in 2014: 331.5 nights in Philippines and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 45.1 nights, or 1.16 times that in Thailand.

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nights a year · CMIP6

Philippines vs Thailand: Tropical nightsTropical nights in 2014: 331.5 nights in Philippines and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 45.1 nights, or 1.16 times that in Thailand.
PhilippinesThailandCMIP6 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearPhilippinesThailand
2014331.5286.4
2013330.9289.1
2012331.1286.6
2011329.8286.4
2010330.6286
2009329286.9
2008327.5284.8
2007327.8283.2
2006328.7284.3
2005329.7281.7
2004329.4287.5
2003327.1279.3
2002328.9280
2001327.8285.5
2000326.8283.4
1999327.5282.5
1998326.5282.7
1997325.4284.8
1996324.6279.8
1995324.2278.7
1994321.5280.8
1993319.5275.6
1992318.4268.8
1991324.1276.7
1990323.5279.2
1989322.5278.4
1988324279.6
1987323.1277.9
1986322.1277.5
1985321.4276
1984321.7277.9
1983319.4273.9
1982320.5275.7
1981320.4277.8
1980322.7277.9
1979321.2278
1978320.6276
1977319.8277.3
1976319.6275.6
1975319.6274.4
1974320276
1973319.4280.6
1972318.9273.9
1971318.8273.2
1970319276
1969318.7274.8
1968317.2277
1967317.4270.3
1966318.8274.4
1965317.2275.8
1964314.9271.9
1963317.2274.7
1962318.6275.4
1961319.3278.5
1960318.6276.2
1959320.5274.4
1958321.8278.7
1957319.4277.4
1956320277
1955319.3274.6
1954317.7275
1953320275.4
1952319275.1
1951319.8277.5
1950320.4276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearPhilippinesThailand
2015333319.8–339.5290.6272.2–305
2016334.2322.8–340.7287.1269.8–306.2
2017333.4319.7–339.8290273.8–302.8
2018333.2320.1–340.1292.6275.1–308.7
2019334.1323.4–341.2291.2272.8–306.7
2020334.6322.6–341.8292.4272.2–307.8
2021335.6323.3–341.1294.2276.3–308.5
2022335.7323.3–342.1294.8277.2–311.9
2023336.7324.8–343.2296.1281.9–310.2
2024337.2325.7–343.9291.7275.5–307.8
2025336.3326.2–342.8294276.7–306.3
2026336.5322.9–343296278–309.3
2027336.2325.7–342.3295.8276.3–311.1
2028337.1325.5–343.8297279.3–315.1
2029338.1327.2–344.6300.3278.7–315
2030337.7326.2–344.4297.7280.2–312.5
2031337.1325.6–343.8300.8282.8–317.1
2032339.4329.5–346.1297.2280.9–311.4
2033339.7329.6–345.5300281.9–315.8
2034338.8328.8–345300.8279–318.4
2035338.6327.5–346.4298.6281.5–317.8
2036339.6327.8–346.9300.4279.9–316.9
2037339.8329.1–345.5299.8280–315.1
2038341.9330.7–347.7304.8286.6–319.3
2039341.2330.4–346.9300.9281.9–317
2040340.4328.1–347.6301.6284.5–315.7
2041341.1329.1–346.7303.1285.1–318.8
2042342331.4–347.7303.8290–318.3
2043341.3329–348.1302285.8–317.9
2044342.8329.9–349.8304.3286.3–318.8
2045343.4333.8–348.7307.1287.7–324.2
2046342.7330.2–348.7305.9285.2–321
2047343.2331.7–350.6306.6289.5–321.5
2048343.3332.7–350.6309.4288.9–325.7
2049343.2332.5–349.5308.1287.2–324.1
2050344.3332.6–349.9307.5291–321.5
2051344.4334.9–350.8312.8294.8–326
2052344.1333.5–350.9310.9291.2–323.4
2053344.3333.6–350.3308.3289.5–323.3
2054343.4332–349.9308.8292.8–322.3
2055344.3334.4–350.5308.6290.6–325.1
2056345334.6–352.6311.3294.9–326.3
2057345.5335.1–351.5308.5286.7–326.4
2058345.8334.3–351.3308291.1–325.1
2059345.5333.7–351.6312.7295.8–325.3
2060346.8335.5–353.5313.1294.6–328.6
2061345.9335–351.8314.4289.5–331.1
2062346335.2–353.5311.4293.4–330.3
2063346.6336.2–352.8314.8296.9–327.3
2064346.9335.3–353312.5295.4–330
2065346.1335.9–351.9309.6293.1–329.3
2066346.5335.4–352.4312.1292.6–328
2067346.1335.4–352311.2289.6–329.4
2068347.1335.1–354.1310.8292.4–330.6
2069347333.8–353.6315.5296.1–329.5
2070346.7336.1–352.7314.2292.9–330.7
2071347.6336.2–353.9313.8296.4–330.8
2072347334.4–353.8314.8296–329.6
2073348.4336.7–355316.5299.9–332.1
2074348.6337–354.9317.2295–333.8
2075347.9337.2–354317.2295.3–331.4
2076348.4337–355.1317.4299.8–335
2077348.7337–354.8317.5297.3–335.9
2078348.4338.2–354.7315.9297.1–331.6
2079348.8337.6–354.7318.5300.5–332.3
2080349.1338.4–355.9319.8297.4–337.5
2081348.8336.9–355.1317.7299.5–334.9
2082349.6338–354.9317.9294.8–333
2083349.9337.9–356.1315297.8–332.9
2084349.5336.7–356.4316295.5–330
2085349.1338.2–355.4322.6300.8–334.7
2086349.4337.5–354.9319.4295.2–335.2
2087349.7338.7–356320.2302.2–334.7
2088349.9338.9–356.1321.4299.8–334.8
2089350.2339.8–355.2318.9296.4–338.1
2090350.1339.7–355.9317.6304–337.4
2091349.5339.5–356.3320.1299.8–336.1
2092350.5339.3–356.1316.3298–336.4
2093350.4337.9–356.5316.1297.7–333.7
2094350.5338.4–355.9323.4301.8–337.3
2095350.5338.3–355.7322.9302.4–338.9
2096351.1339–358319.6302.8–336.7
2097350.2339.3–355.6319.8299.1–336
2098350.3337.4–355.2320.5303.9–336
2099350.6339.3–356.4319.9303.1–334.4
2100351.3340.2–356.3320.8301.1–336.7

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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