Malaysia vs Myanmar (Burma)

Malaysia vs Myanmar (Burma): Tropical nights

Tropical nights in 2014: 323 nights in Malaysia and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 121.1 nights, or 1.6 times that in Myanmar (Burma).

nights a year · CMIP6

Malaysia vs Myanmar (Burma): Tropical nightsTropical nights in 2014: 323 nights in Malaysia and 201.9 nights in Myanmar (Burma), in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 121.1 nights, or 1.6 times that in Myanmar (Burma).
MalaysiaMyanmar (Burma)CMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Malaysia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Malaysia at 354.8 nights and Myanmar (Burma) at 244.5 nights in 2100.

Every year

nights a year · CMIP6

YearMalaysiaMyanmar (Burma)
2014323201.9
2013323.9203.1
2012323.3201.1
2011320.9200.9
2010320.9202.1
2009320.3199
2008317.9198.1
2007317.8196.8
2006317.3198.2
2005318.4196.7
2004319.4200.3
2003316195.3
2002316196.6
2001316.5199
2000314.5197.2
1999312.9196.4
1998312.5194.7
1997310.6194.4
1996307.1191.4
1995307.3189.9
1994304.1188.8
1993298.2185
1992293.6180.5
1991308.9191.7
1990310.4191.5
1989306.9190.3
1988306.8190.7
1987306190.8
1986305.5189.7
1985301.7187.4
1984302.1189.1
1983297.2182.3
1982302.6186.7
1981303.7188.4
1980303.3189
1979302.4189.8
1978301186.8
1977301.3187.4
1976298.9185.8
1975297.7183.6
1974298.1185.5
1973299.1187.5
1972297184.8
1971298.3185.2
1970296184.9
1969297.4184.3
1968295.2183.7
1967293.1182.3
1966296.2186.2
1965293.1182.9
1964291.3180.6
1963291.6183.1
1962299.1187.3
1961299.5188.7
1960300.1187.1
1959299.9186.5
1958301.7187.1
1957299186.2
1956298.1187.9
1955299.3185.9
1954296.8185.7
1953298.8185
1952299.4186.1
1951299.1187.1
1950300186.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalaysiaMyanmar (Burma)
2015324.4308.5–333.7205.2186.4–218.9
2016323.8310.5–334.9202.8186.2–218.8
2017325.6309.9–334.4203.4187.3–218.3
2018325.7310.7–335.4205.5190.9–219.9
2019326.4311.9–335.3205.2186.7–222.2
2020328313.4–337.7208.2188.5–223.5
2021328.8314–336.3208.9191.2–224.1
2022329315.3–339209.9192.7–224.9
2023330.1316–340.5210.6195.4–226.3
2024332319.6–340.7210.4193.8–226.6
2025330.3317.7–342209.9190.3–225.2
2026330.2315.1–342.9212.2194.3–229.2
2027331315.2–342.4212195.6–228.6
2028332.4319–341.9213195.7–227.2
2029334.4322.5–344.9215.3193.9–231.9
2030333.4319.2–342.6212.2194.9–228
2031333.8317.1–342.5214.3197.2–230.8
2032336.5323.3–345.9215199.3–229.6
2033336.4322.5–343.3215.5198.5–230.1
2034334.8322.7–344.3214.9198.4–233.5
2035334.7323.3–347.9214.9199.2–236.8
2036336.9320.7–346.2216198.7–234.5
2037338.3325.4–345.3217.2199.6–233.5
2038339.7326.9–347.4220.7204.8–235.1
2039340326–347.4219.7202.4–234.3
2040338.6325.1–349219.2202.9–235
2041340.3326.3–348.1220.7203.9–237.7
2042339.9326.9–349.6221.8206.1–237.2
2043338.3324.3–348.3219.5201.2–237.1
2044340.6326.3–350.4221.4201.6–239.6
2045340.9327.4–349.8223.7204.8–241.5
2046343.3327.6–351.4223.2203.2–240.2
2047343325.3–352.9224.3204.8–241.1
2048342.6329–352.5226.4207.7–243.8
2049343.8331.1–354.1226.5205.6–242.8
2050342.7328.1–353.5227209.3–243.5
2051344.5330.7–354.3229.6212.4–246.4
2052345.1330.3–355227.2208.6–244.2
2053344.2331–353.5227.9208.7–247.7
2054345330.1–354.6227.9209.6–244.8
2055346.1332–354.3229.1209.8–247.5
2056346.5332.2–356.6231.8210.4–252.1
2057347.9332.3–355.4228.6208–249
2058347333.5–355.6228.9208.8–249
2059346.9333.4–356.2230.7212.1–247.5
2060349.7334.9–357.3234.7211.1–251.5
2061348.4334.1–356.1231.9213–247.7
2062348.4331.8–357.7233.6209.9–252.8
2063348.7333.2–357.7233215.4–250.5
2064349.1333.8–357.5233.2214.4–251.3
2065348.6334.6–356.8230.7210.4–250.7
2066349.3335–357.5233.5214.3–251.2
2067349.1334–356.6233211.5–253.3
2068350334.6–358.7233.1212.4–253.7
2069349.5334.2–357.9236.1214.6–253.4
2070349.2336.2–357.7235.9218.1–253.4
2071350.9336.1–358.6235.1213.5–259.6
2072351337.2–357.9234.6216.1–252.6
2073351.1338.7–359.9237.2219.3–257.2
2074350337.8–359.4236.4215.7–254.5
2075350.5335.4–358.1236.7214.4–255.9
2076351.6337.5–359.7237.7216–257
2077352.4336.4–359.9237.5219–258.7
2078351.3338.9–358.8238.5217.3–257.8
2079351.8337.9–359.7238.5219.2–257.2
2080352.4338.8–360.7240.5218.8–258.3
2081352.2337.3–359.7240219.7–260.9
2082352.7336.9–358.9239.4217.1–258.8
2083352.5339.6–360.4239.1220.5–259.2
2084353.5337.9–360.4241.3218.9–260.6
2085352.9340.2–360.2241.7218.8–260.7
2086352.8339.9–360241.7217.4–262.7
2087352.8338.4–361241.4220.5–260.9
2088354340–360.9241.8222.3–261.5
2089353.7339.7–359.9240.7221.2–262.6
2090353.3340.3–360.6241.3224.4–260.9
2091354.7338.9–361242.6220.3–262.5
2092355.3340.4–361.7241.9221.6–263.3
2093353.5339.3–362242.1220.2–260
2094355.4341.2–360.4242.5222.5–261.9
2095355339.4–360.6244.9224–264.4
2096353.6339.6–363.1243.9221.1–266.5
2097354.3339.5–360.6243.6219.6–264.2
2098354.8340.2–360.7243.6222.5–263.9
2099353.7340–361.8244.7221.8–263.5
2100354.8340.4–360.8244.5223.2–261.8

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

Malaysia vs Myanmar (Burma)

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment