Australia vs Bangladesh

Australia vs Bangladesh: Tropical nights

Tropical nights in 2014: 135.1 nights in Australia and 239.9 nights in Bangladesh, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 104.8 nights, or 1.78 times that in Australia.

Watch it change on the map

nights a year · CMIP6

Australia vs Bangladesh: Tropical nightsTropical nights in 2014: 135.1 nights in Australia and 239.9 nights in Bangladesh, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 104.8 nights, or 1.78 times that in Australia.
AustraliaBangladeshCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Bangladesh 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 Bangladesh at 269.8 nights in 2100.

Every year

nights a year · CMIP6

YearAustraliaBangladesh
2014135.1239.9
2013133239
2012132.9240.4
2011133.8240.5
2010134.2241
2009132.3238.6
2008132.3236.7
2007131.8236.9
2006128.1238.9
2005131.7238.2
2004131.4238.7
2003132.4236.5
2002129.7237.6
2001130.1237.2
2000129.7239.3
1999127.7236.6
1998128.1235.5
1997124.5235.5
1996123.9235.5
1995123.5234.8
1994124.4233.6
1993121.4232.2
1992116.7228
1991125.1233.4
1990126234.6
1989124.4235.7
1988125.2235.1
1987124.4236.4
1986124.9233.8
1985122.7233.6
1984123.9236
1983122.5230
1982124.7232.3
1981123.3235.9
1980123.7233.4
1979122.3234.5
1978121.2231.8
1977120.6232.3
1976121.1232
1975118.6231.3
1974119.7232.9
1973123.3232.1
1972120.2234.3
1971120.4233.1
1970118.5232.5
1969120.9231.1
1968118.9229.7
1967118.6231.6
1966116.5232.6
1965116.5232.5
1964112.5229.3
1963114.6233.8
1962119231.9
1961121.9236.2
1960120.7232.5
1959120.3234.7
1958121.8233.5
1957119.8232.5
1956119.9234.3
1955117.5230.2
1954119.9232.9
1953118.5234
1952119.9230.3
1951119.6233.5
1950119.7233.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustraliaBangladesh
2015134116.5–149.2241.2227–252.4
2016134.8118.2–149.5237.9226.6–249.3
2017136.1119.3–149.5239.8227.5–249.4
2018135.8118.4–151.4242.6227–255
2019136.6120.4–151.6241.2228.5–251.9
2020136119.8–151.4242.6229.3–254.4
2021135.6118.6–151.2244.3230.4–254.4
2022138.6121.4–155.1243.8231.5–254.2
2023139.9123.6–155.2243.5229.2–254.5
2024141122.4–156.1245.7231.4–257.1
2025140.9121–159.3242.5229.4–253.9
2026139.4121.9–157.8243.9227.9–258.1
2027140.4123.7–156247.1232.8–259.3
2028141.8125.4–158.7244.2232.2–254.4
2029143.3126–159.6247.3232.7–261.5
2030140.1125.4–156.4243.9232.3–255.2
2031141.6124.9–156.9245.1232.9–262.3
2032144.6128.6–162.1247.6236.6–257.8
2033144.5127.7–159.2245.3231.7–256.6
2034145129.2–161.3246.3233.2–260.4
2035146.5128.8–161.8246.4234.1–260.9
2036146.9128–161.8246.2228.6–260.4
2037146.6130.1–161.6247.7235.4–260.2
2038148.2131.2–164249232.1–261
2039146.9130.3–163.4250234.4–262.7
2040147.9130.6–164.6248.9235.5–260.5
2041147.6130.5–165.9248.3235.6–261.9
2042148.2129.2–166.5252.5237.8–265.3
2043148.9133.1–164.5250.8234.7–263.4
2044151135.2–166.3251.8239.1–265.2
2045149.3130.9–164.3250.3239.1–265.6
2046151.2135.4–168252.7238.9–267.8
2047153.5132.9–169.5253.9239.4–267.1
2048154.1135.2–171.4254.4242.7–270.5
2049153.4137.4–170.1253.7241.5–266.4
2050152.3133–170.6254.6242.5–269.2
2051154.5135.1–171.8254.7242.7–270.1
2052154.7134.9–175.7252.3240.2–264.6
2053153.8131.8–173256.9244–272.4
2054152.8134.4–172.4255.9243.5–269.4
2055155.2138.1–174.8255.2243.8–273.6
2056157139.6–173.6259.1243.6–274.7
2057156.3137.4–172.3257.5243.8–273.7
2058158.3135.3–176.6257.4245.6–274.2
2059157.9138.9–174.7258.3246.4–271.8
2060158.4140.3–176.8259.2246.1–272.6
2061158.8139.6–175.2257.7244.8–270.1
2062156.1137.8–172.7260.4246.4–274.2
2063160.2140–178.6259.9241.3–272.7
2064159.3140.5–177.9260.2245.9–273.1
2065156.7136.6–177.5259.8244.1–274.7
2066161.6142–180.6260246.6–274.6
2067162.5141.6–183.1261.4246.4–272.3
2068162.4140.7–180.1260.1245.8–274.8
2069162.6143.3–181263.3249.8–276.6
2070161.4140.4–180.3259.6245.8–272.6
2071162.1142–181.9262.2248.7–283.4
2072162.2142.3–179.6259.8248.6–276
2073163.8144.6–182.6264.1246.6–277.2
2074162.2142.8–181.6262.6248.3–276.6
2075163.1143–180.9263.6248.5–277.7
2076163.2141.1–181.9261.6251–276.9
2077163.1141.8–181.8264251.1–279.8
2078163.9145.8–181.3265251.6–281.6
2079163.3143.1–186263.8248.5–277.2
2080163142.7–183.3266.8251.9–280.3
2081165.8142.9–185.5266.5250.7–279.9
2082164.6145–182.6264249.6–277.3
2083164.2141.3–187266.6251.8–282.8
2084165.6140.7–187.4264.8253.1–284.2
2085167.2143.9–187.5265.4251.2–283.4
2086166.8143.2–186.2268.2252.8–285.3
2087165.2142.9–189.1265.7251.3–280.8
2088167.5146–187.8267.2252.6–284.4
2089166.3146.9–184.2267.1252.5–286.7
2090168.6145–188.3267.9254.9–283.4
2091168.3145.8–186.5267.7254.5–282.2
2092167.4144.8–185.2268.8253.6–281.7
2093168.2146–191.5268.1251.7–287
2094169146.8–187.2267.4251.3–287.4
2095169.5146.9–189.1270.8253.7–284.9
2096170.2145.3–192.8267.9250.5–285.8
2097168.2145.9–187.4269.3254.9–287.3
2098169.7149.4–190.8268.8252.4–284.9
2099167.1147.5–187.7269253–282.3
2100169.9149.9–190.1269.8254.8–284.9

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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