Australia vs Pakistan

Australia vs Pakistan: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 14.8 nights, or 1.11 times that in Australia.

nights a year · CMIP6

Australia vs Pakistan: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 14.8 nights, or 1.11 times that in Australia.
AustraliaPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Pakistan 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaPakistan
2014135.1149.9
2013133149.1
2012132.9149.9
2011133.8149
2010134.2148.4
2009132.3147.1
2008132.3147.4
2007131.8147.3
2006128.1146.7
2005131.7146.5
2004131.4147.5
2003132.4146
2002129.7148.3
2001130.1145.4
2000129.7144.7
1999127.7146.9
1998128.1144.8
1997124.5143.2
1996123.9141.2
1995123.5141.8
1994124.4142.1
1993121.4140.4
1992116.7139.9
1991125.1142.5
1990126142.6
1989124.4142.5
1988125.2140.3
1987124.4140
1986124.9140
1985122.7140
1984123.9138.9
1983122.5136.3
1982124.7138.5
1981123.3141.5
1980123.7139.5
1979122.3139.1
1978121.2139
1977120.6138.6
1976121.1139.2
1975118.6136.5
1974119.7138.7
1973123.3137.8
1972120.2137.4
1971120.4136
1970118.5137.7
1969120.9135.9
1968118.9136.6
1967118.6135.2
1966116.5136.9
1965116.5138.3
1964112.5135.1
1963114.6135.7
1962119137
1961121.9138.6
1960120.7139
1959120.3138.6
1958121.8137.7
1957119.8140
1956119.9137.8
1955117.5137.5
1954119.9137.8
1953118.5136.9
1952119.9138.1
1951119.6136.7
1950119.7139.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaPakistan
2015134116.5–149.2152.4138.7–163.3
2016134.8118.2–149.5150.6139.4–161.7
2017136.1119.3–149.5151.3138.8–162
2018135.8118.4–151.4152.6139.8–161.8
2019136.6120.4–151.6151.8138.1–163.3
2020136119.8–151.4153.1140.3–164.5
2021135.6118.6–151.2154.1140.6–165.7
2022138.6121.4–155.1153.1140.2–165.7
2023139.9123.6–155.2155.5141.6–165.9
2024141122.4–156.1156.8143.3–168.7
2025140.9121–159.3155.7141.5–168.6
2026139.4121.9–157.8155.3142.2–167.9
2027140.4123.7–156156.8140.9–168.9
2028141.8125.4–158.7156.5143.9–167.6
2029143.3126–159.6155.9141.5–167.7
2030140.1125.4–156.4156.3143.3–167.6
2031141.6124.9–156.9157.3144.4–168.1
2032144.6128.6–162.1157.4142.5–169.6
2033144.5127.7–159.2157.7143.6–169.4
2034145129.2–161.3159.5145.6–173.4
2035146.5128.8–161.8159.3146.7–170.3
2036146.9128–161.8159.1147.5–171.4
2037146.6130.1–161.6162.2147.5–175.3
2038148.2131.2–164161.4148.6–171.7
2039146.9130.3–163.4160148.2–170.4
2040147.9130.6–164.6160.9147.9–171.3
2041147.6130.5–165.9160.8146.7–171.7
2042148.2129.2–166.5162.3149.9–175.6
2043148.9133.1–164.5161.1150.3–173.8
2044151135.2–166.3163150.9–173.9
2045149.3130.9–164.3163149.5–174.8
2046151.2135.4–168163.5149.8–177.2
2047153.5132.9–169.5165.2151.8–178.5
2048154.1135.2–171.4166.4154.1–179.4
2049153.4137.4–170.1165150.8–178.2
2050152.3133–170.6166.9153.5–179.3
2051154.5135.1–171.8165.6150.8–180
2052154.7134.9–175.7166.7155.4–179.5
2053153.8131.8–173166.3154.2–178.8
2054152.8134.4–172.4167.5153.9–181
2055155.2138.1–174.8167.8155.8–182.5
2056157139.6–173.6166.3153.6–179.7
2057156.3137.4–172.3168.3153.9–182.3
2058158.3135.3–176.6167.5157–179.9
2059157.9138.9–174.7170.9155.9–183.8
2060158.4140.3–176.8170.3156.5–181.8
2061158.8139.6–175.2168.8156.8–179.6
2062156.1137.8–172.7171.6153.5–186.5
2063160.2140–178.6171.3159.5–183.8
2064159.3140.5–177.9170.2155.3–184.5
2065156.7136.6–177.5169.7156.4–185
2066161.6142–180.6172.2157–186.7
2067162.5141.6–183.1173.2160.2–186.3
2068162.4140.7–180.1172.6157.7–186.3
2069162.6143.3–181171.8157.3–185.6
2070161.4140.4–180.3171.7158.9–186.7
2071162.1142–181.9173.4158.7–186.8
2072162.2142.3–179.6174161.5–186.9
2073163.8144.6–182.6175.6157.2–187.9
2074162.2142.8–181.6173.5160–186.3
2075163.1143–180.9173161.5–187.8
2076163.2141.1–181.9172.9158.8–186.7
2077163.1141.8–181.8175161.3–187.8
2078163.9145.8–181.3174.4160.9–189.3
2079163.3143.1–186172.5158.3–187.7
2080163142.7–183.3175.1160.7–189.2
2081165.8142.9–185.5174.9159.2–190.2
2082164.6145–182.6175.4161.8–190.6
2083164.2141.3–187176.5161.8–190.8
2084165.6140.7–187.4176.1160.9–190.5
2085167.2143.9–187.5176.3161.9–193.6
2086166.8143.2–186.2173.9160–189.1
2087165.2142.9–189.1176161–193.1
2088167.5146–187.8175.4160.5–195.2
2089166.3146.9–184.2177.2164.2–191.7
2090168.6145–188.3177.7163.9–192.2
2091168.3145.8–186.5177.8162.8–192.2
2092167.4144.8–185.2178.7162.9–192.9
2093168.2146–191.5177164–191
2094169146.8–187.2176.8164.1–190.7
2095169.5146.9–189.1178.6163.8–193.1
2096170.2145.3–192.8177.8163.7–192.5
2097168.2145.9–187.4177.3160.4–192.5
2098169.7149.4–190.8178.7162.6–195.7
2099167.1147.5–187.7176159.9–193.2
2100169.9149.9–190.1177.6162.2–193

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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