Australia vs Indonesia

Australia vs Indonesia: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 171.4 nights, or 2.27 times that in Australia.

Watch it change on the map

nights a year · CMIP6

Australia vs Indonesia: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 306.5 nights in Indonesia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 171.4 nights, or 2.27 times that in Australia.
AustraliaIndonesiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Indonesia 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 Indonesia at 334.7 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaIndonesia
2014135.1306.5
2013133306.4
2012132.9306.3
2011133.8304.6
2010134.2305.6
2009132.3303.9
2008132.3303.4
2007131.8302.8
2006128.1302.8
2005131.7303.1
2004131.4303.8
2003132.4301.9
2002129.7301.5
2001130.1302.5
2000129.7300.9
1999127.7300.4
1998128.1299.1
1997124.5297.9
1996123.9296.9
1995123.5296.7
1994124.4294.6
1993121.4291.6
1992116.7288.5
1991125.1297.5
1990126298.6
1989124.4296
1988125.2296.5
1987124.4295.6
1986124.9295.8
1985122.7292.8
1984123.9293.4
1983122.5290.1
1982124.7294.4
1981123.3294.8
1980123.7294.5
1979122.3294.1
1978121.2292.4
1977120.6293.4
1976121.1290.8
1975118.6290.7
1974119.7291.5
1973123.3293
1972120.2290.7
1971120.4291.2
1970118.5288.9
1969120.9290.4
1968118.9289.1
1967118.6288.4
1966116.5290.5
1965116.5288.1
1964112.5286.2
1963114.6286.4
1962119291.2
1961121.9292.9
1960120.7292.8
1959120.3291.9
1958121.8293.3
1957119.8290.8
1956119.9291.5
1955117.5292.4
1954119.9290
1953118.5291.4
1952119.9291.7
1951119.6291.7
1950119.7291.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaIndonesia
2015134116.5–149.2308295.7–315.1
2016134.8118.2–149.5307.5296.9–315.6
2017136.1119.3–149.5308.4295.5–315.6
2018135.8118.4–151.4308.9296.4–316.6
2019136.6120.4–151.6309.9297.8–316.7
2020136119.8–151.4310.9299–318.6
2021135.6118.6–151.2310.4298.7–316.4
2022138.6121.4–155.1311.4300–319.6
2023139.9123.6–155.2311.4300.1–320.6
2024141122.4–156.1313.2302–321.2
2025140.9121–159.3312300.2–321.9
2026139.4121.9–157.8312.6299.9–322.8
2027140.4123.7–156312.7301–321.6
2028141.8125.4–158.7313.8302.4–321.9
2029143.3126–159.6315.5303.9–324.1
2030140.1125.4–156.4314.2303.1–322.6
2031141.6124.9–156.9314.4301.6–321.9
2032144.6128.6–162.1316.9304.8–325.8
2033144.5127.7–159.2316.6305.4–323.3
2034145129.2–161.3315.4303.9–323.9
2035146.5128.8–161.8316.3305.6–327.9
2036146.9128–161.8317.7305.2–326.2
2037146.6130.1–161.6318.1306.6–325.2
2038148.2131.2–164319.3307.6–326.7
2039146.9130.3–163.4319.4307.7–326.7
2040147.9130.6–164.6318.5306.5–329
2041147.6130.5–165.9320.2308.3–328
2042148.2129.2–166.5320308.7–329.2
2043148.9133.1–164.5318.6306.6–327.8
2044151135.2–166.3321309–329.6
2045149.3130.9–164.3320.8308.6–329.8
2046151.2135.4–168322.8308.8–331
2047153.5132.9–169.5323.2308.8–333
2048154.1135.2–171.4322.3310.5–332.3
2049153.4137.4–170.1323.8311.6–334.1
2050152.3133–170.6323.3310.3–333.5
2051154.5135.1–171.8323.6311.2–334.4
2052154.7134.9–175.7325.1311.7–334.7
2053153.8131.8–173323.9310.9–333.8
2054152.8134.4–172.4324.4311.9–335.4
2055155.2138.1–174.8325.3312.6–335
2056157139.6–173.6325.9312.4–337.2
2057156.3137.4–172.3326.9311.9–335.2
2058158.3135.3–176.6326.4313–336.3
2059157.9138.9–174.7326.4313.9–337.8
2060158.4140.3–176.8329.5314.9–338.2
2061158.8139.6–175.2327.9313.6–336.9
2062156.1137.8–172.7327.6312.4–339.1
2063160.2140–178.6327.6313.9–339.4
2064159.3140.5–177.9328.8314.4–338.6
2065156.7136.6–177.5327.6314.3–337.9
2066161.6142–180.6328.6314.7–338.5
2067162.5141.6–183.1328.8314.3–338
2068162.4140.7–180.1329.8314.4–339.9
2069162.6143.3–181329.5315.5–339.3
2070161.4140.4–180.3328.6315.1–338.8
2071162.1142–181.9331.4315.5–340.4
2072162.2142.3–179.6330.3315.9–339.4
2073163.8144.6–182.6331.4317.7–341
2074162.2142.8–181.6329.9316.8–341.1
2075163.1143–180.9330.5315.2–340.2
2076163.2141.1–181.9331.5316.2–341.2
2077163.1141.8–181.8332315.9–341.8
2078163.9145.8–181.3331.4318.2–340.9
2079163.3143.1–186331.5316.6–341.5
2080163142.7–183.3332.4317.4–343.2
2081165.8142.9–185.5332.3318.4–341.8
2082164.6145–182.6332.8317.8–340.4
2083164.2141.3–187333.1318.7–342.6
2084165.6140.7–187.4333317.8–342.7
2085167.2143.9–187.5332.6318.1–342.7
2086166.8143.2–186.2333.1318.9–342.3
2087165.2142.9–189.1332.6318–343.2
2088167.5146–187.8334.5319.5–343.1
2089166.3146.9–184.2333.6319–342.6
2090168.6145–188.3333.3319.6–343.3
2091168.3145.8–186.5334.5318.2–343.9
2092167.4144.8–185.2335.1319.7–343.6
2093168.2146–191.5333.9320–344.9
2094169146.8–187.2335.6320.4–342.8
2095169.5146.9–189.1335.4319.7–343
2096170.2145.3–192.8334.3319.4–346.1
2097168.2145.9–187.4334.2319.5–343.3
2098169.7149.4–190.8334.9319.4–343.4
2099167.1147.5–187.7334.4319.4–344.6
2100169.9149.9–190.1334.7318.7–343.3

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

Australia vs Indonesia

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment