Myanmar (Burma) vs Thailand

Myanmar (Burma) vs Thailand: Tropical nights

Tropical nights in 2014: 201.9 nights in Myanmar (Burma) and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 84.5 nights, or 1.42 times that in Myanmar (Burma).

nights a year · CMIP6

Myanmar (Burma) vs Thailand: Tropical nightsTropical nights in 2014: 201.9 nights in Myanmar (Burma) and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 84.5 nights, or 1.42 times that in Myanmar (Burma).
Myanmar (Burma)ThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Thailand 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearMyanmar (Burma)Thailand
2014201.9286.4
2013203.1289.1
2012201.1286.6
2011200.9286.4
2010202.1286
2009199286.9
2008198.1284.8
2007196.8283.2
2006198.2284.3
2005196.7281.7
2004200.3287.5
2003195.3279.3
2002196.6280
2001199285.5
2000197.2283.4
1999196.4282.5
1998194.7282.7
1997194.4284.8
1996191.4279.8
1995189.9278.7
1994188.8280.8
1993185275.6
1992180.5268.8
1991191.7276.7
1990191.5279.2
1989190.3278.4
1988190.7279.6
1987190.8277.9
1986189.7277.5
1985187.4276
1984189.1277.9
1983182.3273.9
1982186.7275.7
1981188.4277.8
1980189277.9
1979189.8278
1978186.8276
1977187.4277.3
1976185.8275.6
1975183.6274.4
1974185.5276
1973187.5280.6
1972184.8273.9
1971185.2273.2
1970184.9276
1969184.3274.8
1968183.7277
1967182.3270.3
1966186.2274.4
1965182.9275.8
1964180.6271.9
1963183.1274.7
1962187.3275.4
1961188.7278.5
1960187.1276.2
1959186.5274.4
1958187.1278.7
1957186.2277.4
1956187.9277
1955185.9274.6
1954185.7275
1953185275.4
1952186.1275.1
1951187.1277.5
1950186.9276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMyanmar (Burma)Thailand
2015205.2186.4–218.9290.6272.2–305
2016202.8186.2–218.8287.1269.8–306.2
2017203.4187.3–218.3290273.8–302.8
2018205.5190.9–219.9292.6275.1–308.7
2019205.2186.7–222.2291.2272.8–306.7
2020208.2188.5–223.5292.4272.2–307.8
2021208.9191.2–224.1294.2276.3–308.5
2022209.9192.7–224.9294.8277.2–311.9
2023210.6195.4–226.3296.1281.9–310.2
2024210.4193.8–226.6291.7275.5–307.8
2025209.9190.3–225.2294276.7–306.3
2026212.2194.3–229.2296278–309.3
2027212195.6–228.6295.8276.3–311.1
2028213195.7–227.2297279.3–315.1
2029215.3193.9–231.9300.3278.7–315
2030212.2194.9–228297.7280.2–312.5
2031214.3197.2–230.8300.8282.8–317.1
2032215199.3–229.6297.2280.9–311.4
2033215.5198.5–230.1300281.9–315.8
2034214.9198.4–233.5300.8279–318.4
2035214.9199.2–236.8298.6281.5–317.8
2036216198.7–234.5300.4279.9–316.9
2037217.2199.6–233.5299.8280–315.1
2038220.7204.8–235.1304.8286.6–319.3
2039219.7202.4–234.3300.9281.9–317
2040219.2202.9–235301.6284.5–315.7
2041220.7203.9–237.7303.1285.1–318.8
2042221.8206.1–237.2303.8290–318.3
2043219.5201.2–237.1302285.8–317.9
2044221.4201.6–239.6304.3286.3–318.8
2045223.7204.8–241.5307.1287.7–324.2
2046223.2203.2–240.2305.9285.2–321
2047224.3204.8–241.1306.6289.5–321.5
2048226.4207.7–243.8309.4288.9–325.7
2049226.5205.6–242.8308.1287.2–324.1
2050227209.3–243.5307.5291–321.5
2051229.6212.4–246.4312.8294.8–326
2052227.2208.6–244.2310.9291.2–323.4
2053227.9208.7–247.7308.3289.5–323.3
2054227.9209.6–244.8308.8292.8–322.3
2055229.1209.8–247.5308.6290.6–325.1
2056231.8210.4–252.1311.3294.9–326.3
2057228.6208–249308.5286.7–326.4
2058228.9208.8–249308291.1–325.1
2059230.7212.1–247.5312.7295.8–325.3
2060234.7211.1–251.5313.1294.6–328.6
2061231.9213–247.7314.4289.5–331.1
2062233.6209.9–252.8311.4293.4–330.3
2063233215.4–250.5314.8296.9–327.3
2064233.2214.4–251.3312.5295.4–330
2065230.7210.4–250.7309.6293.1–329.3
2066233.5214.3–251.2312.1292.6–328
2067233211.5–253.3311.2289.6–329.4
2068233.1212.4–253.7310.8292.4–330.6
2069236.1214.6–253.4315.5296.1–329.5
2070235.9218.1–253.4314.2292.9–330.7
2071235.1213.5–259.6313.8296.4–330.8
2072234.6216.1–252.6314.8296–329.6
2073237.2219.3–257.2316.5299.9–332.1
2074236.4215.7–254.5317.2295–333.8
2075236.7214.4–255.9317.2295.3–331.4
2076237.7216–257317.4299.8–335
2077237.5219–258.7317.5297.3–335.9
2078238.5217.3–257.8315.9297.1–331.6
2079238.5219.2–257.2318.5300.5–332.3
2080240.5218.8–258.3319.8297.4–337.5
2081240219.7–260.9317.7299.5–334.9
2082239.4217.1–258.8317.9294.8–333
2083239.1220.5–259.2315297.8–332.9
2084241.3218.9–260.6316295.5–330
2085241.7218.8–260.7322.6300.8–334.7
2086241.7217.4–262.7319.4295.2–335.2
2087241.4220.5–260.9320.2302.2–334.7
2088241.8222.3–261.5321.4299.8–334.8
2089240.7221.2–262.6318.9296.4–338.1
2090241.3224.4–260.9317.6304–337.4
2091242.6220.3–262.5320.1299.8–336.1
2092241.9221.6–263.3316.3298–336.4
2093242.1220.2–260316.1297.7–333.7
2094242.5222.5–261.9323.4301.8–337.3
2095244.9224–264.4322.9302.4–338.9
2096243.9221.1–266.5319.6302.8–336.7
2097243.6219.6–264.2319.8299.1–336
2098243.6222.5–263.9320.5303.9–336
2099244.7221.8–263.5319.9303.1–334.4
2100244.5223.2–261.8320.8301.1–336.7

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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