Australia vs Malaysia

Australia vs Malaysia: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 187.9 nights, or 2.39 times that in Australia.

Watch it change on the map

nights a year · CMIP6

Australia vs Malaysia: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 323 nights in Malaysia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 187.9 nights, or 2.39 times that in Australia.
AustraliaMalaysiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia 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 Malaysia at 354.8 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaMalaysia
2014135.1323
2013133323.9
2012132.9323.3
2011133.8320.9
2010134.2320.9
2009132.3320.3
2008132.3317.9
2007131.8317.8
2006128.1317.3
2005131.7318.4
2004131.4319.4
2003132.4316
2002129.7316
2001130.1316.5
2000129.7314.5
1999127.7312.9
1998128.1312.5
1997124.5310.6
1996123.9307.1
1995123.5307.3
1994124.4304.1
1993121.4298.2
1992116.7293.6
1991125.1308.9
1990126310.4
1989124.4306.9
1988125.2306.8
1987124.4306
1986124.9305.5
1985122.7301.7
1984123.9302.1
1983122.5297.2
1982124.7302.6
1981123.3303.7
1980123.7303.3
1979122.3302.4
1978121.2301
1977120.6301.3
1976121.1298.9
1975118.6297.7
1974119.7298.1
1973123.3299.1
1972120.2297
1971120.4298.3
1970118.5296
1969120.9297.4
1968118.9295.2
1967118.6293.1
1966116.5296.2
1965116.5293.1
1964112.5291.3
1963114.6291.6
1962119299.1
1961121.9299.5
1960120.7300.1
1959120.3299.9
1958121.8301.7
1957119.8299
1956119.9298.1
1955117.5299.3
1954119.9296.8
1953118.5298.8
1952119.9299.4
1951119.6299.1
1950119.7300
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaMalaysia
2015134116.5–149.2324.4308.5–333.7
2016134.8118.2–149.5323.8310.5–334.9
2017136.1119.3–149.5325.6309.9–334.4
2018135.8118.4–151.4325.7310.7–335.4
2019136.6120.4–151.6326.4311.9–335.3
2020136119.8–151.4328313.4–337.7
2021135.6118.6–151.2328.8314–336.3
2022138.6121.4–155.1329315.3–339
2023139.9123.6–155.2330.1316–340.5
2024141122.4–156.1332319.6–340.7
2025140.9121–159.3330.3317.7–342
2026139.4121.9–157.8330.2315.1–342.9
2027140.4123.7–156331315.2–342.4
2028141.8125.4–158.7332.4319–341.9
2029143.3126–159.6334.4322.5–344.9
2030140.1125.4–156.4333.4319.2–342.6
2031141.6124.9–156.9333.8317.1–342.5
2032144.6128.6–162.1336.5323.3–345.9
2033144.5127.7–159.2336.4322.5–343.3
2034145129.2–161.3334.8322.7–344.3
2035146.5128.8–161.8334.7323.3–347.9
2036146.9128–161.8336.9320.7–346.2
2037146.6130.1–161.6338.3325.4–345.3
2038148.2131.2–164339.7326.9–347.4
2039146.9130.3–163.4340326–347.4
2040147.9130.6–164.6338.6325.1–349
2041147.6130.5–165.9340.3326.3–348.1
2042148.2129.2–166.5339.9326.9–349.6
2043148.9133.1–164.5338.3324.3–348.3
2044151135.2–166.3340.6326.3–350.4
2045149.3130.9–164.3340.9327.4–349.8
2046151.2135.4–168343.3327.6–351.4
2047153.5132.9–169.5343325.3–352.9
2048154.1135.2–171.4342.6329–352.5
2049153.4137.4–170.1343.8331.1–354.1
2050152.3133–170.6342.7328.1–353.5
2051154.5135.1–171.8344.5330.7–354.3
2052154.7134.9–175.7345.1330.3–355
2053153.8131.8–173344.2331–353.5
2054152.8134.4–172.4345330.1–354.6
2055155.2138.1–174.8346.1332–354.3
2056157139.6–173.6346.5332.2–356.6
2057156.3137.4–172.3347.9332.3–355.4
2058158.3135.3–176.6347333.5–355.6
2059157.9138.9–174.7346.9333.4–356.2
2060158.4140.3–176.8349.7334.9–357.3
2061158.8139.6–175.2348.4334.1–356.1
2062156.1137.8–172.7348.4331.8–357.7
2063160.2140–178.6348.7333.2–357.7
2064159.3140.5–177.9349.1333.8–357.5
2065156.7136.6–177.5348.6334.6–356.8
2066161.6142–180.6349.3335–357.5
2067162.5141.6–183.1349.1334–356.6
2068162.4140.7–180.1350334.6–358.7
2069162.6143.3–181349.5334.2–357.9
2070161.4140.4–180.3349.2336.2–357.7
2071162.1142–181.9350.9336.1–358.6
2072162.2142.3–179.6351337.2–357.9
2073163.8144.6–182.6351.1338.7–359.9
2074162.2142.8–181.6350337.8–359.4
2075163.1143–180.9350.5335.4–358.1
2076163.2141.1–181.9351.6337.5–359.7
2077163.1141.8–181.8352.4336.4–359.9
2078163.9145.8–181.3351.3338.9–358.8
2079163.3143.1–186351.8337.9–359.7
2080163142.7–183.3352.4338.8–360.7
2081165.8142.9–185.5352.2337.3–359.7
2082164.6145–182.6352.7336.9–358.9
2083164.2141.3–187352.5339.6–360.4
2084165.6140.7–187.4353.5337.9–360.4
2085167.2143.9–187.5352.9340.2–360.2
2086166.8143.2–186.2352.8339.9–360
2087165.2142.9–189.1352.8338.4–361
2088167.5146–187.8354340–360.9
2089166.3146.9–184.2353.7339.7–359.9
2090168.6145–188.3353.3340.3–360.6
2091168.3145.8–186.5354.7338.9–361
2092167.4144.8–185.2355.3340.4–361.7
2093168.2146–191.5353.5339.3–362
2094169146.8–187.2355.4341.2–360.4
2095169.5146.9–189.1355339.4–360.6
2096170.2145.3–192.8353.6339.6–363.1
2097168.2145.9–187.4354.3339.5–360.6
2098169.7149.4–190.8354.8340.2–360.7
2099167.1147.5–187.7353.7340–361.8
2100169.9149.9–190.1354.8340.4–360.8

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

Australia vs Malaysia

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment