Cambodia vs Malaysia

Cambodia vs Malaysia: Tropical nights

Tropical nights in 2014: 337.4 nights in Cambodia and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 14.4 nights, or 1.04 times that in Malaysia.

Watch it change on the map

nights a year · CMIP6

Cambodia vs Malaysia: Tropical nightsTropical nights in 2014: 337.4 nights in Cambodia and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 14.4 nights, or 1.04 times that in Malaysia.
CambodiaMalaysiaCMIP6 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 Malaysia at 354.8 nights in 2100.

Every year

nights a year · CMIP6

YearCambodiaMalaysia
2014337.4323
2013342.5323.9
2012340.1323.3
2011338.3320.9
2010338.2320.9
2009339.2320.3
2008334.9317.9
2007336.1317.8
2006336317.3
2005334318.4
2004338.1319.4
2003332.9316
2002333.3316
2001337.1316.5
2000335.9314.5
1999335.1312.9
1998334.8312.5
1997336.8310.6
1996330.5307.1
1995328.7307.3
1994334.3304.1
1993329.9298.2
1992321.5293.6
1991328.1308.9
1990333.3310.4
1989330.3306.9
1988332306.8
1987329.7306
1986330.9305.5
1985330.8301.7
1984331.2302.1
1983328.7297.2
1982329.3302.6
1981331.2303.7
1980329.9303.3
1979330.4302.4
1978327.5301
1977331.6301.3
1976329.2298.9
1975328.1297.7
1974326.8298.1
1973331.2299.1
1972327.1297
1971327.4298.3
1970327.9296
1969327.4297.4
1968327.6295.2
1967323.9293.1
1966326.4296.2
1965329.8293.1
1964327.1291.3
1963328.6291.6
1962326.2299.1
1961332.3299.5
1960329300.1
1959328.5299.9
1958332.7301.7
1957331.1299
1956330298.1
1955326.8299.3
1954329296.8
1953329.6298.8
1952329.2299.4
1951330.9299.1
1950328.6300
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCambodiaMalaysia
2015340323.1–351.2324.4308.5–333.7
2016339.6325.3–352.5323.8310.5–334.9
2017341.9327.4–350.7325.6309.9–334.4
2018343.5320.1–353.1325.7310.7–335.4
2019340.8327.2–352.1326.4311.9–335.3
2020343325.7–352.6328313.4–337.7
2021345.2328.4–353328.8314–336.3
2022344.4332.5–353.4329315.3–339
2023344.7333.7–355.1330.1316–340.5
2024342.1327.5–352.9332319.6–340.7
2025343.4332.6–351330.3317.7–342
2026343.9324.7–353.4330.2315.1–342.9
2027345.3330.6–354.2331315.2–342.4
2028346.5331–356.9332.4319–341.9
2029346.5330.1–357.3334.4322.5–344.9
2030346.7332.4–355.4333.4319.2–342.6
2031347.7332.3–356.7333.8317.1–342.5
2032347.5332.3–354.7336.5323.3–345.9
2033346.5331.7–358.1336.4322.5–343.3
2034348.1335.3–357334.8322.7–344.3
2035347.7330.1–357.7334.7323.3–347.9
2036348.2329.7–355.8336.9320.7–346.2
2037347.4334.6–355.4338.3325.4–345.3
2038348.9335.4–357.3339.7326.9–347.4
2039349.3335.7–358.3340326–347.4
2040348.9339.2–356.6338.6325.1–349
2041349.9337.3–358.1340.3326.3–348.1
2042348.1336.5–357.9339.9326.9–349.6
2043348.4336.5–357.3338.3324.3–348.3
2044348.6337.6–357.8340.6326.3–350.4
2045349.4335.2–360.2340.9327.4–349.8
2046351.3337.9–359.4343.3327.6–351.4
2047352.1341.4–359.4343325.3–352.9
2048351.1338.7–360.6342.6329–352.5
2049352.5339.7–360343.8331.1–354.1
2050352.6340.1–359.7342.7328.1–353.5
2051354.4343.2–360.9344.5330.7–354.3
2052353.3343.5–359.5345.1330.3–355
2053351.8340.5–358.9344.2331–353.5
2054352343.5–359.3345330.1–354.6
2055352.8339.5–359.2346.1332–354.3
2056353.4339.8–360.9346.5332.2–356.6
2057352.1338.8–359.4347.9332.3–355.4
2058353.3343–360.6347333.5–355.6
2059355341.5–359.7346.9333.4–356.2
2060354344.1–362349.7334.9–357.3
2061355338.3–361348.4334.1–356.1
2062352.2341.4–361348.4331.8–357.7
2063356344–360.6348.7333.2–357.7
2064354.4341.4–361.7349.1333.8–357.5
2065352.7343.4–359.8348.6334.6–356.8
2066353.7341.8–360.2349.3335–357.5
2067352.9341.2–360.3349.1334–356.6
2068354.6343.6–361.1350334.6–358.7
2069355.6344.7–361.2349.5334.2–357.9
2070355343.5–361.4349.2336.2–357.7
2071356346.1–361.1350.9336.1–358.6
2072356.6345.8–361.5351337.2–357.9
2073357.1347.3–362351.1338.7–359.9
2074356.1341.9–362.3350337.8–359.4
2075354.9340.7–361.9350.5335.4–358.1
2076357.6347.1–362.9351.6337.5–359.7
2077356.7345.6–362.3352.4336.4–359.9
2078355345.5–361.7351.3338.9–358.8
2079356.5347.1–361.5351.8337.9–359.7
2080358347.4–363.9352.4338.8–360.7
2081355.8345.5–362.5352.2337.3–359.7
2082354.6345.1–360.9352.7336.9–358.9
2083355.2345.7–361.7352.5339.6–360.4
2084355.7343.4–361.6353.5337.9–360.4
2085358.4350–362.5352.9340.2–360.2
2086356.6345.5–361.8352.8339.9–360
2087357.5346.7–362.5352.8338.4–361
2088357347.6–362.4354340–360.9
2089357.2346.7–361.8353.7339.7–359.9
2090355.7347.6–362.1353.3340.3–360.6
2091357.8345.5–362.6354.7338.9–361
2092355.5343.9–362.3355.3340.4–361.7
2093355.6344.4–361.2353.5339.3–362
2094359.2347.3–362.9355.4341.2–360.4
2095358.6347.7–362.8355339.4–360.6
2096357.8348.4–363.2353.6339.6–363.1
2097356.8346.5–362.4354.3339.5–360.6
2098356.2346.9–362.6354.8340.2–360.7
2099356.8346.4–362.7353.7340–361.8
2100357.6347.9–363.1354.8340.4–360.8

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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