Myanmar (Burma) vs Singapore

Myanmar (Burma) vs Singapore: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 365 nights in Singapore, in the CMIP6 climate models’ median run. In 2014 the value was higher in Singapore, by 163.1 nights, or 1.81 times that in Myanmar (Burma).

nights a year · CMIP6

Myanmar (Burma) vs Singapore: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 365 nights in Singapore, in the CMIP6 climate models’ median run. In 2014 the value was higher in Singapore, by 163.1 nights, or 1.81 times that in Myanmar (Burma).
Myanmar (Burma)SingaporeCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Singapore has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Myanmar (Burma) at 244.5 nights and Singapore at 365 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)Singapore
2014201.9365
2013203.1365
2012201.1365
2011200.9365
2010202.1365
2009199365
2008198.1365
2007196.8365
2006198.2365
2005196.7365
2004200.3365
2003195.3365
2002196.6365
2001199365
2000197.2365
1999196.4365
1998194.7365
1997194.4365
1996191.4365
1995189.9365
1994188.8365
1993185365
1992180.5365
1991191.7365
1990191.5365
1989190.3365
1988190.7365
1987190.8365
1986189.7365
1985187.4365
1984189.1365
1983182.3365
1982186.7365
1981188.4365
1980189365
1979189.8365
1978186.8365
1977187.4365
1976185.8365
1975183.6365
1974185.5365
1973187.5365
1972184.8365
1971185.2365
1970184.9365
1969184.3365
1968183.7365
1967182.3365
1966186.2365
1965182.9365
1964180.6365
1963183.1365
1962187.3365
1961188.7365
1960187.1365
1959186.5365
1958187.1365
1957186.2365
1956187.9365
1955185.9365
1954185.7365
1953185365
1952186.1365
1951187.1365
1950186.9365
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Singapore
2015205.2186.4–218.9365360–365
2016202.8186.2–218.8365360–366
2017203.4187.3–218.3365360–365
2018205.5190.9–219.9365360–365
2019205.2186.7–222.2365360–365
2020208.2188.5–223.5365360–366
2021208.9191.2–224.1365360–365
2022209.9192.7–224.9365360–365
2023210.6195.4–226.3365360–365
2024210.4193.8–226.6365360–366
2025209.9190.3–225.2365360–365
2026212.2194.3–229.2365360–365
2027212195.6–228.6365360–365
2028213195.7–227.2365360–366
2029215.3193.9–231.9365360–365
2030212.2194.9–228365360–365
2031214.3197.2–230.8365360–365
2032215199.3–229.6365360–366
2033215.5198.5–230.1365360–365
2034214.9198.4–233.5365360–365
2035214.9199.2–236.8365360–365
2036216198.7–234.5365360–366
2037217.2199.6–233.5365360–365
2038220.7204.8–235.1365360–365
2039219.7202.4–234.3365360–365
2040219.2202.9–235365360–366
2041220.7203.9–237.7365360–365
2042221.8206.1–237.2365360–365
2043219.5201.2–237.1365360–365
2044221.4201.6–239.6365360–366
2045223.7204.8–241.5365360–365
2046223.2203.2–240.2365360–365
2047224.3204.8–241.1365360–365
2048226.4207.7–243.8365360–366
2049226.5205.6–242.8365360–365
2050227209.3–243.5365360–365
2051229.6212.4–246.4365360–365
2052227.2208.6–244.2365360–366
2053227.9208.7–247.7365360–365
2054227.9209.6–244.8365360–365
2055229.1209.8–247.5365360–365
2056231.8210.4–252.1365360–366
2057228.6208–249365360–365
2058228.9208.8–249365360–365
2059230.7212.1–247.5365360–365
2060234.7211.1–251.5365360–366
2061231.9213–247.7365360–365
2062233.6209.9–252.8365360–365
2063233215.4–250.5365360–365
2064233.2214.4–251.3365360–366
2065230.7210.4–250.7365360–365
2066233.5214.3–251.2365360–365
2067233211.5–253.3365360–365
2068233.1212.4–253.7365360–366
2069236.1214.6–253.4365360–365
2070235.9218.1–253.4365360–365
2071235.1213.5–259.6365360–365
2072234.6216.1–252.6365360–366
2073237.2219.3–257.2365360–365
2074236.4215.7–254.5365360–365
2075236.7214.4–255.9365360–365
2076237.7216–257365360–366
2077237.5219–258.7365360–365
2078238.5217.3–257.8365360–365
2079238.5219.2–257.2365360–365
2080240.5218.8–258.3365360–366
2081240219.7–260.9365360–365
2082239.4217.1–258.8365360–365
2083239.1220.5–259.2365360–365
2084241.3218.9–260.6365360–366
2085241.7218.8–260.7365360–365
2086241.7217.4–262.7365360–365
2087241.4220.5–260.9365360–365
2088241.8222.3–261.5365360–366
2089240.7221.2–262.6365360–365
2090241.3224.4–260.9365360–365
2091242.6220.3–262.5365360–365
2092241.9221.6–263.3365360–366
2093242.1220.2–260365360–365
2094242.5222.5–261.9365360–365
2095244.9224–264.4365360–365
2096243.9221.1–266.5365360–366
2097243.6219.6–264.2365360–365
2098243.6222.5–263.9365360–365
2099244.7221.8–263.5365360–365
2100244.5223.2–261.8365360–365

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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