Australia vs Cambodia

Australia vs Cambodia: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 337.4 nights in Cambodia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 202.3 nights, or 2.5 times that in Australia.

Watch it change on the map

nights a year · CMIP6

Australia vs Cambodia: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 337.4 nights in Cambodia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 202.3 nights, or 2.5 times that in Australia.
AustraliaCambodiaCMIP6 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 Australia at 169.9 nights and Cambodia at 357.6 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaCambodia
2014135.1337.4
2013133342.5
2012132.9340.1
2011133.8338.3
2010134.2338.2
2009132.3339.2
2008132.3334.9
2007131.8336.1
2006128.1336
2005131.7334
2004131.4338.1
2003132.4332.9
2002129.7333.3
2001130.1337.1
2000129.7335.9
1999127.7335.1
1998128.1334.8
1997124.5336.8
1996123.9330.5
1995123.5328.7
1994124.4334.3
1993121.4329.9
1992116.7321.5
1991125.1328.1
1990126333.3
1989124.4330.3
1988125.2332
1987124.4329.7
1986124.9330.9
1985122.7330.8
1984123.9331.2
1983122.5328.7
1982124.7329.3
1981123.3331.2
1980123.7329.9
1979122.3330.4
1978121.2327.5
1977120.6331.6
1976121.1329.2
1975118.6328.1
1974119.7326.8
1973123.3331.2
1972120.2327.1
1971120.4327.4
1970118.5327.9
1969120.9327.4
1968118.9327.6
1967118.6323.9
1966116.5326.4
1965116.5329.8
1964112.5327.1
1963114.6328.6
1962119326.2
1961121.9332.3
1960120.7329
1959120.3328.5
1958121.8332.7
1957119.8331.1
1956119.9330
1955117.5326.8
1954119.9329
1953118.5329.6
1952119.9329.2
1951119.6330.9
1950119.7328.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaCambodia
2015134116.5–149.2340323.1–351.2
2016134.8118.2–149.5339.6325.3–352.5
2017136.1119.3–149.5341.9327.4–350.7
2018135.8118.4–151.4343.5320.1–353.1
2019136.6120.4–151.6340.8327.2–352.1
2020136119.8–151.4343325.7–352.6
2021135.6118.6–151.2345.2328.4–353
2022138.6121.4–155.1344.4332.5–353.4
2023139.9123.6–155.2344.7333.7–355.1
2024141122.4–156.1342.1327.5–352.9
2025140.9121–159.3343.4332.6–351
2026139.4121.9–157.8343.9324.7–353.4
2027140.4123.7–156345.3330.6–354.2
2028141.8125.4–158.7346.5331–356.9
2029143.3126–159.6346.5330.1–357.3
2030140.1125.4–156.4346.7332.4–355.4
2031141.6124.9–156.9347.7332.3–356.7
2032144.6128.6–162.1347.5332.3–354.7
2033144.5127.7–159.2346.5331.7–358.1
2034145129.2–161.3348.1335.3–357
2035146.5128.8–161.8347.7330.1–357.7
2036146.9128–161.8348.2329.7–355.8
2037146.6130.1–161.6347.4334.6–355.4
2038148.2131.2–164348.9335.4–357.3
2039146.9130.3–163.4349.3335.7–358.3
2040147.9130.6–164.6348.9339.2–356.6
2041147.6130.5–165.9349.9337.3–358.1
2042148.2129.2–166.5348.1336.5–357.9
2043148.9133.1–164.5348.4336.5–357.3
2044151135.2–166.3348.6337.6–357.8
2045149.3130.9–164.3349.4335.2–360.2
2046151.2135.4–168351.3337.9–359.4
2047153.5132.9–169.5352.1341.4–359.4
2048154.1135.2–171.4351.1338.7–360.6
2049153.4137.4–170.1352.5339.7–360
2050152.3133–170.6352.6340.1–359.7
2051154.5135.1–171.8354.4343.2–360.9
2052154.7134.9–175.7353.3343.5–359.5
2053153.8131.8–173351.8340.5–358.9
2054152.8134.4–172.4352343.5–359.3
2055155.2138.1–174.8352.8339.5–359.2
2056157139.6–173.6353.4339.8–360.9
2057156.3137.4–172.3352.1338.8–359.4
2058158.3135.3–176.6353.3343–360.6
2059157.9138.9–174.7355341.5–359.7
2060158.4140.3–176.8354344.1–362
2061158.8139.6–175.2355338.3–361
2062156.1137.8–172.7352.2341.4–361
2063160.2140–178.6356344–360.6
2064159.3140.5–177.9354.4341.4–361.7
2065156.7136.6–177.5352.7343.4–359.8
2066161.6142–180.6353.7341.8–360.2
2067162.5141.6–183.1352.9341.2–360.3
2068162.4140.7–180.1354.6343.6–361.1
2069162.6143.3–181355.6344.7–361.2
2070161.4140.4–180.3355343.5–361.4
2071162.1142–181.9356346.1–361.1
2072162.2142.3–179.6356.6345.8–361.5
2073163.8144.6–182.6357.1347.3–362
2074162.2142.8–181.6356.1341.9–362.3
2075163.1143–180.9354.9340.7–361.9
2076163.2141.1–181.9357.6347.1–362.9
2077163.1141.8–181.8356.7345.6–362.3
2078163.9145.8–181.3355345.5–361.7
2079163.3143.1–186356.5347.1–361.5
2080163142.7–183.3358347.4–363.9
2081165.8142.9–185.5355.8345.5–362.5
2082164.6145–182.6354.6345.1–360.9
2083164.2141.3–187355.2345.7–361.7
2084165.6140.7–187.4355.7343.4–361.6
2085167.2143.9–187.5358.4350–362.5
2086166.8143.2–186.2356.6345.5–361.8
2087165.2142.9–189.1357.5346.7–362.5
2088167.5146–187.8357347.6–362.4
2089166.3146.9–184.2357.2346.7–361.8
2090168.6145–188.3355.7347.6–362.1
2091168.3145.8–186.5357.8345.5–362.6
2092167.4144.8–185.2355.5343.9–362.3
2093168.2146–191.5355.6344.4–361.2
2094169146.8–187.2359.2347.3–362.9
2095169.5146.9–189.1358.6347.7–362.8
2096170.2145.3–192.8357.8348.4–363.2
2097168.2145.9–187.4356.8346.5–362.4
2098169.7149.4–190.8356.2346.9–362.6
2099167.1147.5–187.7356.8346.4–362.7
2100169.9149.9–190.1357.6347.9–363.1

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

Australia vs Cambodia

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment