Thailand vs Vietnam

Thailand vs Vietnam: Tropical nights

Tropical nights in 2014: 286.4 nights in Thailand and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 43.8 nights, or 1.18 times that in Vietnam.

Watch it change on the map

nights a year · CMIP6

Thailand vs Vietnam: Tropical nightsTropical nights in 2014: 286.4 nights in Thailand and 242.6 nights in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 43.8 nights, or 1.18 times that in Vietnam.
ThailandVietnamCMIP6 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 Thailand at 320.8 nights and Vietnam at 282.7 nights in 2100.

Every year

nights a year · CMIP6

YearThailandVietnam
2014286.4242.6
2013289.1243.6
2012286.6242.4
2011286.4241.9
2010286240.9
2009286.9240
2008284.8238.7
2007283.2238
2006284.3239.1
2005281.7238.3
2004287.5241.8
2003279.3235.9
2002280236.3
2001285.5241.3
2000283.4237
1999282.5236
1998282.7236.8
1997284.8237.1
1996279.8231.4
1995278.7229.9
1994280.8231.2
1993275.6225.3
1992268.8221.9
1991276.7229.8
1990279.2233.1
1989278.4229.2
1988279.6231.7
1987277.9230.3
1986277.5230.9
1985276228
1984277.9230.2
1983273.9224.9
1982275.7227.5
1981277.8229.7
1980277.9228.1
1979278228.9
1978276227.5
1977277.3229
1976275.6225.8
1975274.4225.8
1974276225.7
1973280.6230.3
1972273.9225.6
1971273.2225.5
1970276226.1
1969274.8227
1968277227.1
1967270.3222.9
1966274.4226.8
1965275.8225.4
1964271.9222.6
1963274.7224.3
1962275.4227.8
1961278.5229.4
1960276.2228.5
1959274.4226.2
1958278.7230.9
1957277.4228.4
1956277228.7
1955274.6227.5
1954275226.3
1953275.4228.2
1952275.1228.5
1951277.5229.2
1950276.2228.9
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearThailandVietnam
2015290.6272.2–305245.8228.2–261.9
2016287.1269.8–306.2243.7226.1–259.4
2017290273.8–302.8247229.6–260.7
2018292.6275.1–308.7248.3228.8–263.3
2019291.2272.8–306.7248.1229.2–262.8
2020292.4272.2–307.8248.8229.6–262.9
2021294.2276.3–308.5251.1233.1–266.7
2022294.8277.2–311.9252.4234.3–266.8
2023296.1281.9–310.2253.4235.4–266.6
2024291.7275.5–307.8251.3236.7–264.6
2025294276.7–306.3252.4234.1–266.2
2026296278–309.3252.8232.9–268.5
2027295.8276.3–311.1253.2237–268.8
2028297279.3–315.1254.3237.7–272
2029300.3278.7–315258.1238.5–273.7
2030297.7280.2–312.5256.4240.9–270.1
2031300.8282.8–317.1255.9241.2–270.9
2032297.2280.9–311.4257.4239.1–269.9
2033300281.9–315.8258.3241.7–273.2
2034300.8279–318.4258.8240.7–275.8
2035298.6281.5–317.8258.6242.5–275.4
2036300.4279.9–316.9258.3239.1–273.8
2037299.8280–315.1258.7242.4–272.4
2038304.8286.6–319.3263.4247.6–277.3
2039300.9281.9–317260.2243.7–275.9
2040301.6284.5–315.7260.1242.8–274.8
2041303.1285.1–318.8263.1245.9–279
2042303.8290–318.3263.6246.5–279
2043302285.8–317.9261.4245.5–279.6
2044304.3286.3–318.8263.2245.2–277.6
2045307.1287.7–324.2265.5249.6–281.4
2046305.9285.2–321264.9246.8–278.1
2047306.6289.5–321.5266.9250.4–282.9
2048309.4288.9–325.7268250.5–283.8
2049308.1287.2–324.1267.8251.2–284.8
2050307.5291–321.5268251.2–283.5
2051312.8294.8–326270.9254.3–285.4
2052310.9291.2–323.4268.3253.3–282.8
2053308.3289.5–323.3268.5250.1–283.2
2054308.8292.8–322.3269.1250.8–283.6
2055308.6290.6–325.1270249.8–284.2
2056311.3294.9–326.3271.7254.8–290.1
2057308.5286.7–326.4270253–285.7
2058308291.1–325.1270.7252.9–286.5
2059312.7295.8–325.3273257.6–286.6
2060313.1294.6–328.6275.7255.6–290.6
2061314.4289.5–331.1273.5254.6–289.5
2062311.4293.4–330.3271.4253.1–290.2
2063314.8296.9–327.3272.9252.7–288.1
2064312.5295.4–330273.8254.4–288.1
2065309.6293.1–329.3272255.8–286.3
2066312.1292.6–328271.8254.4–287.3
2067311.2289.6–329.4270.8252.1–287.6
2068310.8292.4–330.6275.6256.9–292.4
2069315.5296.1–329.5276.4258.5–292
2070314.2292.9–330.7274.6257.8–292.8
2071313.8296.4–330.8276.2255.2–294.1
2072314.8296–329.6277256.8–291.4
2073316.5299.9–332.1278.5262.7–293.4
2074317.2295–333.8277.6259.2–295.8
2075317.2295.3–331.4276.4258.7–294.4
2076317.4299.8–335279.2258.5–296.6
2077317.5297.3–335.9280264.9–294.7
2078315.9297.1–331.6278.4258.6–295.5
2079318.5300.5–332.3279.3263.4–293.6
2080319.8297.4–337.5280261.4–296.5
2081317.7299.5–334.9280.4261.2–297.9
2082317.9294.8–333280.9258.9–296
2083315297.8–332.9278.4261.6–295
2084316295.5–330279257.4–293.8
2085322.6300.8–334.7281.3265–297.8
2086319.4295.2–335.2282.3260.2–297.5
2087320.2302.2–334.7281.9261.3–300.7
2088321.4299.8–334.8283.1265.7–301.5
2089318.9296.4–338.1280.8261.2–301.6
2090317.6304–337.4280.5264.5–297.6
2091320.1299.8–336.1283.3264.3–298.9
2092316.3298–336.4281.1261.5–299.4
2093316.1297.7–333.7280.5263.4–296.1
2094323.4301.8–337.3283264.5–300
2095322.9302.4–338.9285.5264.5–302.9
2096319.6302.8–336.7281.8264.8–299.8
2097319.8299.1–336281.5263.3–299
2098320.5303.9–336282.5263.9–301.5
2099319.9303.1–334.4282.7265.1–298
2100320.8301.1–336.7282.7261–298.2

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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