Cambodia vs Vietnam

Cambodia vs Vietnam: Tropical nights

Tropical nights in 2014: 337.4 nights in Cambodia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 94.8 nights, or 1.39 times that in Vietnam.

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nights a year · CMIP6

Cambodia vs Vietnam: Tropical nightsTropical nights in 2014: 337.4 nights in Cambodia and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 94.8 nights, or 1.39 times that in Vietnam.
CambodiaVietnamCMIP6 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 Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearCambodiaVietnam
2014337.4242.6
2013342.5243.6
2012340.1242.4
2011338.3241.9
2010338.2240.9
2009339.2240
2008334.9238.7
2007336.1238
2006336239.1
2005334238.3
2004338.1241.8
2003332.9235.9
2002333.3236.3
2001337.1241.3
2000335.9237
1999335.1236
1998334.8236.8
1997336.8237.1
1996330.5231.4
1995328.7229.9
1994334.3231.2
1993329.9225.3
1992321.5221.9
1991328.1229.8
1990333.3233.1
1989330.3229.2
1988332231.7
1987329.7230.3
1986330.9230.9
1985330.8228
1984331.2230.2
1983328.7224.9
1982329.3227.5
1981331.2229.7
1980329.9228.1
1979330.4228.9
1978327.5227.5
1977331.6229
1976329.2225.8
1975328.1225.8
1974326.8225.7
1973331.2230.3
1972327.1225.6
1971327.4225.5
1970327.9226.1
1969327.4227
1968327.6227.1
1967323.9222.9
1966326.4226.8
1965329.8225.4
1964327.1222.6
1963328.6224.3
1962326.2227.8
1961332.3229.4
1960329228.5
1959328.5226.2
1958332.7230.9
1957331.1228.4
1956330228.7
1955326.8227.5
1954329226.3
1953329.6228.2
1952329.2228.5
1951330.9229.2
1950328.6228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCambodiaVietnam
2015340323.1–351.2245.8228.2–261.9
2016339.6325.3–352.5243.7226.1–259.4
2017341.9327.4–350.7247229.6–260.7
2018343.5320.1–353.1248.3228.8–263.3
2019340.8327.2–352.1248.1229.2–262.8
2020343325.7–352.6248.8229.6–262.9
2021345.2328.4–353251.1233.1–266.7
2022344.4332.5–353.4252.4234.3–266.8
2023344.7333.7–355.1253.4235.4–266.6
2024342.1327.5–352.9251.3236.7–264.6
2025343.4332.6–351252.4234.1–266.2
2026343.9324.7–353.4252.8232.9–268.5
2027345.3330.6–354.2253.2237–268.8
2028346.5331–356.9254.3237.7–272
2029346.5330.1–357.3258.1238.5–273.7
2030346.7332.4–355.4256.4240.9–270.1
2031347.7332.3–356.7255.9241.2–270.9
2032347.5332.3–354.7257.4239.1–269.9
2033346.5331.7–358.1258.3241.7–273.2
2034348.1335.3–357258.8240.7–275.8
2035347.7330.1–357.7258.6242.5–275.4
2036348.2329.7–355.8258.3239.1–273.8
2037347.4334.6–355.4258.7242.4–272.4
2038348.9335.4–357.3263.4247.6–277.3
2039349.3335.7–358.3260.2243.7–275.9
2040348.9339.2–356.6260.1242.8–274.8
2041349.9337.3–358.1263.1245.9–279
2042348.1336.5–357.9263.6246.5–279
2043348.4336.5–357.3261.4245.5–279.6
2044348.6337.6–357.8263.2245.2–277.6
2045349.4335.2–360.2265.5249.6–281.4
2046351.3337.9–359.4264.9246.8–278.1
2047352.1341.4–359.4266.9250.4–282.9
2048351.1338.7–360.6268250.5–283.8
2049352.5339.7–360267.8251.2–284.8
2050352.6340.1–359.7268251.2–283.5
2051354.4343.2–360.9270.9254.3–285.4
2052353.3343.5–359.5268.3253.3–282.8
2053351.8340.5–358.9268.5250.1–283.2
2054352343.5–359.3269.1250.8–283.6
2055352.8339.5–359.2270249.8–284.2
2056353.4339.8–360.9271.7254.8–290.1
2057352.1338.8–359.4270253–285.7
2058353.3343–360.6270.7252.9–286.5
2059355341.5–359.7273257.6–286.6
2060354344.1–362275.7255.6–290.6
2061355338.3–361273.5254.6–289.5
2062352.2341.4–361271.4253.1–290.2
2063356344–360.6272.9252.7–288.1
2064354.4341.4–361.7273.8254.4–288.1
2065352.7343.4–359.8272255.8–286.3
2066353.7341.8–360.2271.8254.4–287.3
2067352.9341.2–360.3270.8252.1–287.6
2068354.6343.6–361.1275.6256.9–292.4
2069355.6344.7–361.2276.4258.5–292
2070355343.5–361.4274.6257.8–292.8
2071356346.1–361.1276.2255.2–294.1
2072356.6345.8–361.5277256.8–291.4
2073357.1347.3–362278.5262.7–293.4
2074356.1341.9–362.3277.6259.2–295.8
2075354.9340.7–361.9276.4258.7–294.4
2076357.6347.1–362.9279.2258.5–296.6
2077356.7345.6–362.3280264.9–294.7
2078355345.5–361.7278.4258.6–295.5
2079356.5347.1–361.5279.3263.4–293.6
2080358347.4–363.9280261.4–296.5
2081355.8345.5–362.5280.4261.2–297.9
2082354.6345.1–360.9280.9258.9–296
2083355.2345.7–361.7278.4261.6–295
2084355.7343.4–361.6279257.4–293.8
2085358.4350–362.5281.3265–297.8
2086356.6345.5–361.8282.3260.2–297.5
2087357.5346.7–362.5281.9261.3–300.7
2088357347.6–362.4283.1265.7–301.5
2089357.2346.7–361.8280.8261.2–301.6
2090355.7347.6–362.1280.5264.5–297.6
2091357.8345.5–362.6283.3264.3–298.9
2092355.5343.9–362.3281.1261.5–299.4
2093355.6344.4–361.2280.5263.4–296.1
2094359.2347.3–362.9283264.5–300
2095358.6347.7–362.8285.5264.5–302.9
2096357.8348.4–363.2281.8264.8–299.8
2097356.8346.5–362.4281.5263.3–299
2098356.2346.9–362.6282.5263.9–301.5
2099356.8346.4–362.7282.7265.1–298
2100357.6347.9–363.1282.7261–298.2

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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