Malaysia vs Philippines

Malaysia vs Philippines: Tropical nights

Tropical nights in 2014: 323 nights in Malaysia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 8.5 nights, or 1.03 times that in Malaysia.

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nights a year · CMIP6

Malaysia vs Philippines: Tropical nightsTropical nights in 2014: 323 nights in Malaysia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 8.5 nights, or 1.03 times that in Malaysia.
MalaysiaPhilippinesCMIP6 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 Malaysia at 354.8 nights and Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearMalaysiaPhilippines
2014323331.5
2013323.9330.9
2012323.3331.1
2011320.9329.8
2010320.9330.6
2009320.3329
2008317.9327.5
2007317.8327.8
2006317.3328.7
2005318.4329.7
2004319.4329.4
2003316327.1
2002316328.9
2001316.5327.8
2000314.5326.8
1999312.9327.5
1998312.5326.5
1997310.6325.4
1996307.1324.6
1995307.3324.2
1994304.1321.5
1993298.2319.5
1992293.6318.4
1991308.9324.1
1990310.4323.5
1989306.9322.5
1988306.8324
1987306323.1
1986305.5322.1
1985301.7321.4
1984302.1321.7
1983297.2319.4
1982302.6320.5
1981303.7320.4
1980303.3322.7
1979302.4321.2
1978301320.6
1977301.3319.8
1976298.9319.6
1975297.7319.6
1974298.1320
1973299.1319.4
1972297318.9
1971298.3318.8
1970296319
1969297.4318.7
1968295.2317.2
1967293.1317.4
1966296.2318.8
1965293.1317.2
1964291.3314.9
1963291.6317.2
1962299.1318.6
1961299.5319.3
1960300.1318.6
1959299.9320.5
1958301.7321.8
1957299319.4
1956298.1320
1955299.3319.3
1954296.8317.7
1953298.8320
1952299.4319
1951299.1319.8
1950300320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalaysiaPhilippines
2015324.4308.5–333.7333319.8–339.5
2016323.8310.5–334.9334.2322.8–340.7
2017325.6309.9–334.4333.4319.7–339.8
2018325.7310.7–335.4333.2320.1–340.1
2019326.4311.9–335.3334.1323.4–341.2
2020328313.4–337.7334.6322.6–341.8
2021328.8314–336.3335.6323.3–341.1
2022329315.3–339335.7323.3–342.1
2023330.1316–340.5336.7324.8–343.2
2024332319.6–340.7337.2325.7–343.9
2025330.3317.7–342336.3326.2–342.8
2026330.2315.1–342.9336.5322.9–343
2027331315.2–342.4336.2325.7–342.3
2028332.4319–341.9337.1325.5–343.8
2029334.4322.5–344.9338.1327.2–344.6
2030333.4319.2–342.6337.7326.2–344.4
2031333.8317.1–342.5337.1325.6–343.8
2032336.5323.3–345.9339.4329.5–346.1
2033336.4322.5–343.3339.7329.6–345.5
2034334.8322.7–344.3338.8328.8–345
2035334.7323.3–347.9338.6327.5–346.4
2036336.9320.7–346.2339.6327.8–346.9
2037338.3325.4–345.3339.8329.1–345.5
2038339.7326.9–347.4341.9330.7–347.7
2039340326–347.4341.2330.4–346.9
2040338.6325.1–349340.4328.1–347.6
2041340.3326.3–348.1341.1329.1–346.7
2042339.9326.9–349.6342331.4–347.7
2043338.3324.3–348.3341.3329–348.1
2044340.6326.3–350.4342.8329.9–349.8
2045340.9327.4–349.8343.4333.8–348.7
2046343.3327.6–351.4342.7330.2–348.7
2047343325.3–352.9343.2331.7–350.6
2048342.6329–352.5343.3332.7–350.6
2049343.8331.1–354.1343.2332.5–349.5
2050342.7328.1–353.5344.3332.6–349.9
2051344.5330.7–354.3344.4334.9–350.8
2052345.1330.3–355344.1333.5–350.9
2053344.2331–353.5344.3333.6–350.3
2054345330.1–354.6343.4332–349.9
2055346.1332–354.3344.3334.4–350.5
2056346.5332.2–356.6345334.6–352.6
2057347.9332.3–355.4345.5335.1–351.5
2058347333.5–355.6345.8334.3–351.3
2059346.9333.4–356.2345.5333.7–351.6
2060349.7334.9–357.3346.8335.5–353.5
2061348.4334.1–356.1345.9335–351.8
2062348.4331.8–357.7346335.2–353.5
2063348.7333.2–357.7346.6336.2–352.8
2064349.1333.8–357.5346.9335.3–353
2065348.6334.6–356.8346.1335.9–351.9
2066349.3335–357.5346.5335.4–352.4
2067349.1334–356.6346.1335.4–352
2068350334.6–358.7347.1335.1–354.1
2069349.5334.2–357.9347333.8–353.6
2070349.2336.2–357.7346.7336.1–352.7
2071350.9336.1–358.6347.6336.2–353.9
2072351337.2–357.9347334.4–353.8
2073351.1338.7–359.9348.4336.7–355
2074350337.8–359.4348.6337–354.9
2075350.5335.4–358.1347.9337.2–354
2076351.6337.5–359.7348.4337–355.1
2077352.4336.4–359.9348.7337–354.8
2078351.3338.9–358.8348.4338.2–354.7
2079351.8337.9–359.7348.8337.6–354.7
2080352.4338.8–360.7349.1338.4–355.9
2081352.2337.3–359.7348.8336.9–355.1
2082352.7336.9–358.9349.6338–354.9
2083352.5339.6–360.4349.9337.9–356.1
2084353.5337.9–360.4349.5336.7–356.4
2085352.9340.2–360.2349.1338.2–355.4
2086352.8339.9–360349.4337.5–354.9
2087352.8338.4–361349.7338.7–356
2088354340–360.9349.9338.9–356.1
2089353.7339.7–359.9350.2339.8–355.2
2090353.3340.3–360.6350.1339.7–355.9
2091354.7338.9–361349.5339.5–356.3
2092355.3340.4–361.7350.5339.3–356.1
2093353.5339.3–362350.4337.9–356.5
2094355.4341.2–360.4350.5338.4–355.9
2095355339.4–360.6350.5338.3–355.7
2096353.6339.6–363.1351.1339–358
2097354.3339.5–360.6350.2339.3–355.6
2098354.8340.2–360.7350.3337.4–355.2
2099353.7340–361.8350.6339.3–356.4
2100354.8340.4–360.8351.3340.2–356.3

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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