Cambodia vs Indonesia

Cambodia vs Indonesia: Tropical nights

Tropical nights in 2014: 337.4 nights in Cambodia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 30.9 nights, or 1.1 times that in Indonesia.

Watch it change on the map

nights a year · CMIP6

Cambodia vs Indonesia: Tropical nightsTropical nights in 2014: 337.4 nights in Cambodia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 30.9 nights, or 1.1 times that in Indonesia.
CambodiaIndonesiaCMIP6 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 Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearCambodiaIndonesia
2014337.4306.5
2013342.5306.4
2012340.1306.3
2011338.3304.6
2010338.2305.6
2009339.2303.9
2008334.9303.4
2007336.1302.8
2006336302.8
2005334303.1
2004338.1303.8
2003332.9301.9
2002333.3301.5
2001337.1302.5
2000335.9300.9
1999335.1300.4
1998334.8299.1
1997336.8297.9
1996330.5296.9
1995328.7296.7
1994334.3294.6
1993329.9291.6
1992321.5288.5
1991328.1297.5
1990333.3298.6
1989330.3296
1988332296.5
1987329.7295.6
1986330.9295.8
1985330.8292.8
1984331.2293.4
1983328.7290.1
1982329.3294.4
1981331.2294.8
1980329.9294.5
1979330.4294.1
1978327.5292.4
1977331.6293.4
1976329.2290.8
1975328.1290.7
1974326.8291.5
1973331.2293
1972327.1290.7
1971327.4291.2
1970327.9288.9
1969327.4290.4
1968327.6289.1
1967323.9288.4
1966326.4290.5
1965329.8288.1
1964327.1286.2
1963328.6286.4
1962326.2291.2
1961332.3292.9
1960329292.8
1959328.5291.9
1958332.7293.3
1957331.1290.8
1956330291.5
1955326.8292.4
1954329290
1953329.6291.4
1952329.2291.7
1951330.9291.7
1950328.6291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCambodiaIndonesia
2015340323.1–351.2308295.7–315.1
2016339.6325.3–352.5307.5296.9–315.6
2017341.9327.4–350.7308.4295.5–315.6
2018343.5320.1–353.1308.9296.4–316.6
2019340.8327.2–352.1309.9297.8–316.7
2020343325.7–352.6310.9299–318.6
2021345.2328.4–353310.4298.7–316.4
2022344.4332.5–353.4311.4300–319.6
2023344.7333.7–355.1311.4300.1–320.6
2024342.1327.5–352.9313.2302–321.2
2025343.4332.6–351312300.2–321.9
2026343.9324.7–353.4312.6299.9–322.8
2027345.3330.6–354.2312.7301–321.6
2028346.5331–356.9313.8302.4–321.9
2029346.5330.1–357.3315.5303.9–324.1
2030346.7332.4–355.4314.2303.1–322.6
2031347.7332.3–356.7314.4301.6–321.9
2032347.5332.3–354.7316.9304.8–325.8
2033346.5331.7–358.1316.6305.4–323.3
2034348.1335.3–357315.4303.9–323.9
2035347.7330.1–357.7316.3305.6–327.9
2036348.2329.7–355.8317.7305.2–326.2
2037347.4334.6–355.4318.1306.6–325.2
2038348.9335.4–357.3319.3307.6–326.7
2039349.3335.7–358.3319.4307.7–326.7
2040348.9339.2–356.6318.5306.5–329
2041349.9337.3–358.1320.2308.3–328
2042348.1336.5–357.9320308.7–329.2
2043348.4336.5–357.3318.6306.6–327.8
2044348.6337.6–357.8321309–329.6
2045349.4335.2–360.2320.8308.6–329.8
2046351.3337.9–359.4322.8308.8–331
2047352.1341.4–359.4323.2308.8–333
2048351.1338.7–360.6322.3310.5–332.3
2049352.5339.7–360323.8311.6–334.1
2050352.6340.1–359.7323.3310.3–333.5
2051354.4343.2–360.9323.6311.2–334.4
2052353.3343.5–359.5325.1311.7–334.7
2053351.8340.5–358.9323.9310.9–333.8
2054352343.5–359.3324.4311.9–335.4
2055352.8339.5–359.2325.3312.6–335
2056353.4339.8–360.9325.9312.4–337.2
2057352.1338.8–359.4326.9311.9–335.2
2058353.3343–360.6326.4313–336.3
2059355341.5–359.7326.4313.9–337.8
2060354344.1–362329.5314.9–338.2
2061355338.3–361327.9313.6–336.9
2062352.2341.4–361327.6312.4–339.1
2063356344–360.6327.6313.9–339.4
2064354.4341.4–361.7328.8314.4–338.6
2065352.7343.4–359.8327.6314.3–337.9
2066353.7341.8–360.2328.6314.7–338.5
2067352.9341.2–360.3328.8314.3–338
2068354.6343.6–361.1329.8314.4–339.9
2069355.6344.7–361.2329.5315.5–339.3
2070355343.5–361.4328.6315.1–338.8
2071356346.1–361.1331.4315.5–340.4
2072356.6345.8–361.5330.3315.9–339.4
2073357.1347.3–362331.4317.7–341
2074356.1341.9–362.3329.9316.8–341.1
2075354.9340.7–361.9330.5315.2–340.2
2076357.6347.1–362.9331.5316.2–341.2
2077356.7345.6–362.3332315.9–341.8
2078355345.5–361.7331.4318.2–340.9
2079356.5347.1–361.5331.5316.6–341.5
2080358347.4–363.9332.4317.4–343.2
2081355.8345.5–362.5332.3318.4–341.8
2082354.6345.1–360.9332.8317.8–340.4
2083355.2345.7–361.7333.1318.7–342.6
2084355.7343.4–361.6333317.8–342.7
2085358.4350–362.5332.6318.1–342.7
2086356.6345.5–361.8333.1318.9–342.3
2087357.5346.7–362.5332.6318–343.2
2088357347.6–362.4334.5319.5–343.1
2089357.2346.7–361.8333.6319–342.6
2090355.7347.6–362.1333.3319.6–343.3
2091357.8345.5–362.6334.5318.2–343.9
2092355.5343.9–362.3335.1319.7–343.6
2093355.6344.4–361.2333.9320–344.9
2094359.2347.3–362.9335.6320.4–342.8
2095358.6347.7–362.8335.4319.7–343
2096357.8348.4–363.2334.3319.4–346.1
2097356.8346.5–362.4334.2319.5–343.3
2098356.2346.9–362.6334.9319.4–343.4
2099356.8346.4–362.7334.4319.4–344.6
2100357.6347.9–363.1334.7318.7–343.3

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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