Cambodia vs Philippines

Cambodia vs Philippines: Tropical nights

Tropical nights in 2014: 337.4 nights in Cambodia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 5.9 nights, or 1.02 times that in Philippines.

Watch it change on the map

nights a year · CMIP6

Cambodia vs Philippines: Tropical nightsTropical nights in 2014: 337.4 nights in Cambodia and 331.5 nights in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 5.9 nights, or 1.02 times that in Philippines.
CambodiaPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cambodia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Cambodia at 357.6 nights and Philippines at 351.3 nights in 2100.

Every year

nights a year · CMIP6

YearCambodiaPhilippines
2014337.4331.5
2013342.5330.9
2012340.1331.1
2011338.3329.8
2010338.2330.6
2009339.2329
2008334.9327.5
2007336.1327.8
2006336328.7
2005334329.7
2004338.1329.4
2003332.9327.1
2002333.3328.9
2001337.1327.8
2000335.9326.8
1999335.1327.5
1998334.8326.5
1997336.8325.4
1996330.5324.6
1995328.7324.2
1994334.3321.5
1993329.9319.5
1992321.5318.4
1991328.1324.1
1990333.3323.5
1989330.3322.5
1988332324
1987329.7323.1
1986330.9322.1
1985330.8321.4
1984331.2321.7
1983328.7319.4
1982329.3320.5
1981331.2320.4
1980329.9322.7
1979330.4321.2
1978327.5320.6
1977331.6319.8
1976329.2319.6
1975328.1319.6
1974326.8320
1973331.2319.4
1972327.1318.9
1971327.4318.8
1970327.9319
1969327.4318.7
1968327.6317.2
1967323.9317.4
1966326.4318.8
1965329.8317.2
1964327.1314.9
1963328.6317.2
1962326.2318.6
1961332.3319.3
1960329318.6
1959328.5320.5
1958332.7321.8
1957331.1319.4
1956330320
1955326.8319.3
1954329317.7
1953329.6320
1952329.2319
1951330.9319.8
1950328.6320.4
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCambodiaPhilippines
2015340323.1–351.2333319.8–339.5
2016339.6325.3–352.5334.2322.8–340.7
2017341.9327.4–350.7333.4319.7–339.8
2018343.5320.1–353.1333.2320.1–340.1
2019340.8327.2–352.1334.1323.4–341.2
2020343325.7–352.6334.6322.6–341.8
2021345.2328.4–353335.6323.3–341.1
2022344.4332.5–353.4335.7323.3–342.1
2023344.7333.7–355.1336.7324.8–343.2
2024342.1327.5–352.9337.2325.7–343.9
2025343.4332.6–351336.3326.2–342.8
2026343.9324.7–353.4336.5322.9–343
2027345.3330.6–354.2336.2325.7–342.3
2028346.5331–356.9337.1325.5–343.8
2029346.5330.1–357.3338.1327.2–344.6
2030346.7332.4–355.4337.7326.2–344.4
2031347.7332.3–356.7337.1325.6–343.8
2032347.5332.3–354.7339.4329.5–346.1
2033346.5331.7–358.1339.7329.6–345.5
2034348.1335.3–357338.8328.8–345
2035347.7330.1–357.7338.6327.5–346.4
2036348.2329.7–355.8339.6327.8–346.9
2037347.4334.6–355.4339.8329.1–345.5
2038348.9335.4–357.3341.9330.7–347.7
2039349.3335.7–358.3341.2330.4–346.9
2040348.9339.2–356.6340.4328.1–347.6
2041349.9337.3–358.1341.1329.1–346.7
2042348.1336.5–357.9342331.4–347.7
2043348.4336.5–357.3341.3329–348.1
2044348.6337.6–357.8342.8329.9–349.8
2045349.4335.2–360.2343.4333.8–348.7
2046351.3337.9–359.4342.7330.2–348.7
2047352.1341.4–359.4343.2331.7–350.6
2048351.1338.7–360.6343.3332.7–350.6
2049352.5339.7–360343.2332.5–349.5
2050352.6340.1–359.7344.3332.6–349.9
2051354.4343.2–360.9344.4334.9–350.8
2052353.3343.5–359.5344.1333.5–350.9
2053351.8340.5–358.9344.3333.6–350.3
2054352343.5–359.3343.4332–349.9
2055352.8339.5–359.2344.3334.4–350.5
2056353.4339.8–360.9345334.6–352.6
2057352.1338.8–359.4345.5335.1–351.5
2058353.3343–360.6345.8334.3–351.3
2059355341.5–359.7345.5333.7–351.6
2060354344.1–362346.8335.5–353.5
2061355338.3–361345.9335–351.8
2062352.2341.4–361346335.2–353.5
2063356344–360.6346.6336.2–352.8
2064354.4341.4–361.7346.9335.3–353
2065352.7343.4–359.8346.1335.9–351.9
2066353.7341.8–360.2346.5335.4–352.4
2067352.9341.2–360.3346.1335.4–352
2068354.6343.6–361.1347.1335.1–354.1
2069355.6344.7–361.2347333.8–353.6
2070355343.5–361.4346.7336.1–352.7
2071356346.1–361.1347.6336.2–353.9
2072356.6345.8–361.5347334.4–353.8
2073357.1347.3–362348.4336.7–355
2074356.1341.9–362.3348.6337–354.9
2075354.9340.7–361.9347.9337.2–354
2076357.6347.1–362.9348.4337–355.1
2077356.7345.6–362.3348.7337–354.8
2078355345.5–361.7348.4338.2–354.7
2079356.5347.1–361.5348.8337.6–354.7
2080358347.4–363.9349.1338.4–355.9
2081355.8345.5–362.5348.8336.9–355.1
2082354.6345.1–360.9349.6338–354.9
2083355.2345.7–361.7349.9337.9–356.1
2084355.7343.4–361.6349.5336.7–356.4
2085358.4350–362.5349.1338.2–355.4
2086356.6345.5–361.8349.4337.5–354.9
2087357.5346.7–362.5349.7338.7–356
2088357347.6–362.4349.9338.9–356.1
2089357.2346.7–361.8350.2339.8–355.2
2090355.7347.6–362.1350.1339.7–355.9
2091357.8345.5–362.6349.5339.5–356.3
2092355.5343.9–362.3350.5339.3–356.1
2093355.6344.4–361.2350.4337.9–356.5
2094359.2347.3–362.9350.5338.4–355.9
2095358.6347.7–362.8350.5338.3–355.7
2096357.8348.4–363.2351.1339–358
2097356.8346.5–362.4350.2339.3–355.6
2098356.2346.9–362.6350.3337.4–355.2
2099356.8346.4–362.7350.6339.3–356.4
2100357.6347.9–363.1351.3340.2–356.3

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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