Australia vs India

Australia vs India: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 80.4 nights, or 1.6 times that in Australia.

Watch it change on the map

nights a year · CMIP6

Australia vs India: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 80.4 nights, or 1.6 times that in Australia.
AustraliaIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • India 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 India at 250.4 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaIndia
2014135.1215.5
2013133216
2012132.9217.4
2011133.8215.5
2010134.2215.2
2009132.3213.7
2008132.3213.7
2007131.8213.3
2006128.1212.5
2005131.7212.9
2004131.4214.9
2003132.4212.1
2002129.7213
2001130.1212.2
2000129.7210.8
1999127.7211.9
1998128.1210.3
1997124.5209.5
1996123.9207
1995123.5208.8
1994124.4207.1
1993121.4206
1992116.7203.5
1991125.1208
1990126209.9
1989124.4208
1988125.2207.3
1987124.4207.2
1986124.9207.2
1985122.7205.9
1984123.9206.7
1983122.5203.3
1982124.7205.7
1981123.3208.4
1980123.7205.3
1979122.3205.5
1978121.2204.1
1977120.6205.9
1976121.1204.6
1975118.6202.6
1974119.7205.3
1973123.3205.6
1972120.2203.8
1971120.4203.6
1970118.5202.6
1969120.9203.6
1968118.9201.7
1967118.6201.6
1966116.5203.9
1965116.5202.4
1964112.5201.2
1963114.6201.8
1962119203.8
1961121.9206.3
1960120.7206
1959120.3206.1
1958121.8204
1957119.8206.5
1956119.9204
1955117.5203.2
1954119.9206
1953118.5204
1952119.9204.4
1951119.6204.3
1950119.7206.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaIndia
2015134116.5–149.2216.9202.1–228.4
2016134.8118.2–149.5215202.5–227.6
2017136.1119.3–149.5216.2202.1–228.5
2018135.8118.4–151.4218.3204.5–231.4
2019136.6120.4–151.6217.4202.3–230.4
2020136119.8–151.4217.6203.1–232
2021135.6118.6–151.2219.7204.5–233.2
2022138.6121.4–155.1220.5205.8–233
2023139.9123.6–155.2220.4206.4–233.7
2024141122.4–156.1222.6208.1–236.3
2025140.9121–159.3219.7202.7–236.2
2026139.4121.9–157.8220.2204.2–236.8
2027140.4123.7–156223.6207.1–239
2028141.8125.4–158.7222.1205.1–235.7
2029143.3126–159.6225.4210–240.3
2030140.1125.4–156.4222.7207.3–235.6
2031141.6124.9–156.9223.8207.1–237.8
2032144.6128.6–162.1225.9210–240.5
2033144.5127.7–159.2223.8209.3–235.4
2034145129.2–161.3225.8210–242.7
2035146.5128.8–161.8224.9210.6–240.9
2036146.9128–161.8224.2210.4–240.3
2037146.6130.1–161.6228.3213.6–242.6
2038148.2131.2–164228.1212.6–241.4
2039146.9130.3–163.4227.4211.9–242.8
2040147.9130.6–164.6227212.2–242
2041147.6130.5–165.9227.1210.7–240.5
2042148.2129.2–166.5229.1214.8–244.2
2043148.9133.1–164.5228.9214.5–244
2044151135.2–166.3229.7214.7–244.2
2045149.3130.9–164.3231.2216.6–246.1
2046151.2135.4–168232.6216.2–248.6
2047153.5132.9–169.5232.4215.5–250
2048154.1135.2–171.4235.6218.5–254.3
2049153.4137.4–170.1235.3218.3–249.9
2050152.3133–170.6233.5216.6–253.4
2051154.5135.1–171.8234.9218.6–249.9
2052154.7134.9–175.7234219.4–249.3
2053153.8131.8–173234.9219.5–252.5
2054152.8134.4–172.4237.2219.4–253.1
2055155.2138.1–174.8237.2220.7–256.6
2056157139.6–173.6238.8221.2–254.9
2057156.3137.4–172.3235.7218.5–253.8
2058158.3135.3–176.6238.8222.8–254.1
2059157.9138.9–174.7241.1224.9–256.2
2060158.4140.3–176.8240.9225.6–255.6
2061158.8139.6–175.2237.9220.6–253.7
2062156.1137.8–172.7239.9221.2–259.7
2063160.2140–178.6239.9222.3–256.1
2064159.3140.5–177.9240223.8–256.3
2065156.7136.6–177.5240.9222.9–257.3
2066161.6142–180.6241.5224.1–258.6
2067162.5141.6–183.1241.6224.8–257.9
2068162.4140.7–180.1242.3224.6–262.1
2069162.6143.3–181242.8225.4–259.1
2070161.4140.4–180.3240.1225.3–257.1
2071162.1142–181.9241.8223.7–260.2
2072162.2142.3–179.6242.6225.4–259.2
2073163.8144.6–182.6243.8228–259.3
2074162.2142.8–181.6241.6226.9–258.4
2075163.1143–180.9243.5226.4–258.2
2076163.2141.1–181.9243.2224.6–259.9
2077163.1141.8–181.8243.7226.6–264.6
2078163.9145.8–181.3246.7230.1–261.5
2079163.3143.1–186244.9226.4–261.3
2080163142.7–183.3246.7227–263.7
2081165.8142.9–185.5247.5230.4–264.8
2082164.6145–182.6244.6227.9–262.3
2083164.2141.3–187247.5227.8–265.1
2084165.6140.7–187.4247.3228.3–266.8
2085167.2143.9–187.5246.5227.5–267.1
2086166.8143.2–186.2245.6227.7–266.5
2087165.2142.9–189.1245.5226.7–266.2
2088167.5146–187.8247229.4–266.9
2089166.3146.9–184.2248.1230–266.3
2090168.6145–188.3249228.9–266.4
2091168.3145.8–186.5248.9230–266.5
2092167.4144.8–185.2249.8232.3–267.8
2093168.2146–191.5248.1229–266.5
2094169146.8–187.2249.1230.6–268.4
2095169.5146.9–189.1251233.2–270
2096170.2145.3–192.8247.8231.4–269.3
2097168.2145.9–187.4251.1231.4–268
2098169.7149.4–190.8252.3230.8–268.3
2099167.1147.5–187.7248.7230.1–268.3
2100169.9149.9–190.1250.4232.9–266.7

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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