Thailand vs United States

Thailand vs United States: Tropical nights

Tropical nights in 2014: 286.4 nights in Thailand and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 246.6 nights, or 7.2 times that in United States.

nights a year · CMIP6

Thailand vs United States: Tropical nightsTropical nights in 2014: 286.4 nights in Thailand and 39.8 nights in United States, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 246.6 nights, or 7.2 times that in United States.
ThailandUnited StatesCMIP6 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 United States at 63.9 nights in 2100.

Every year

nights a year · CMIP6

YearThailandUnited States
2014286.439.8
2013289.138.9
2012286.638.7
2011286.438.4
201028638.3
2009286.937.5
2008284.836.8
2007283.237.7
2006284.337.6
2005281.736.8
2004287.535.8
2003279.336
200228037.7
2001285.536.7
2000283.435.5
1999282.536.1
1998282.734.8
1997284.835.1
1996279.833.6
1995278.733.6
1994280.832.4
1993275.630.9
1992268.829.4
1991276.733.7
1990279.233.8
1989278.432.9
1988279.633
1987277.932.1
1986277.531.5
198527632
1984277.930.1
1983273.928.4
1982275.730.8
1981277.832.9
1980277.930.7
197927832.1
197827631.6
1977277.331.6
1976275.629.7
1975274.431.1
197427629.8
1973280.629.9
1972273.930.7
1971273.230
197027629.7
1969274.830.4
196827729.5
1967270.329.7
1966274.429.1
1965275.828.6
1964271.928.1
1963274.730
1962275.430.8
1961278.531.9
1960276.231.1
1959274.431
1958278.730.6
1957277.431
195627732
1955274.630.7
195427530.8
1953275.431.3
1952275.130.6
1951277.530.7
1950276.230.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearThailandUnited States
2015290.6272.2–30540.932.9–49.8
2016287.1269.8–306.241.933.3–52
2017290273.8–302.84234–50.6
2018292.6275.1–308.74333.9–52.5
2019291.2272.8–306.743.234.3–52.6
2020292.4272.2–307.842.833.9–53.1
2021294.2276.3–308.542.833.8–52.7
2022294.8277.2–311.943.634.5–52.3
2023296.1281.9–310.244.535–55.5
2024291.7275.5–307.844.935.9–54.5
2025294276.7–306.34636.7–55.5
2026296278–309.344.735.6–54.8
2027295.8276.3–311.146.437.3–58.4
2028297279.3–315.145.836.5–56.6
2029300.3278.7–31546.936.9–57.7
2030297.7280.2–312.546.936.6–58.8
2031300.8282.8–317.146.337–55.7
2032297.2280.9–311.446.236.9–56.5
2033300281.9–315.849.439.1–60.3
2034300.8279–318.447.738.7–58.6
2035298.6281.5–317.847.737.5–59.6
2036300.4279.9–316.949.439.2–61.8
2037299.8280–315.148.639.1–59.8
2038304.8286.6–319.350.240.4–59.8
2039300.9281.9–31750.240.5–60.9
2040301.6284.5–315.750.739.8–61.8
2041303.1285.1–318.849.840.1–61.2
2042303.8290–318.351.441–63.1
2043302285.8–317.951.341.4–62.2
2044304.3286.3–318.851.340.5–63.3
2045307.1287.7–324.252.441.5–64.7
2046305.9285.2–32153.343.3–64.1
2047306.6289.5–321.553.844.1–66.5
2048309.4288.9–325.753.542.2–66
2049308.1287.2–324.153.743.2–65.9
2050307.5291–321.554.943–67.2
2051312.8294.8–32654.743.5–67.5
2052310.9291.2–323.453.642–66.1
2053308.3289.5–323.354.342.4–66.8
2054308.8292.8–322.354.543.1–67
2055308.6290.6–325.155.142.4–68
2056311.3294.9–326.355.844.3–70
2057308.5286.7–326.456.244.6–68.1
2058308291.1–325.156.144.4–70.4
2059312.7295.8–325.355.544.5–67.9
2060313.1294.6–328.656.144.9–68.3
2061314.4289.5–331.15746–69
2062311.4293.4–330.357.443.9–70.3
2063314.8296.9–327.357.244.7–70.8
2064312.5295.4–3305643–68.2
2065309.6293.1–329.356.544.2–71
2066312.1292.6–32858.747.4–71.2
2067311.2289.6–329.458.647.2–71.4
2068310.8292.4–330.658.846.1–71.7
2069315.5296.1–329.559.646.8–73
2070314.2292.9–330.757.944.7–72.8
2071313.8296.4–330.85946.5–72
2072314.8296–329.658.746.4–72.9
2073316.5299.9–332.159.345.8–72.1
2074317.2295–333.860.546.4–74.6
2075317.2295.3–331.459.846.6–75.3
2076317.4299.8–33559.647.5–74.4
2077317.5297.3–335.960.147.9–74.3
2078315.9297.1–331.660.747–76
2079318.5300.5–332.361.148.3–76.2
2080319.8297.4–337.561.448.8–76.8
2081317.7299.5–334.96149.2–74.7
2082317.9294.8–33361.748.1–75.9
2083315297.8–332.962.849.6–77.6
2084316295.5–33062.248.1–76.8
2085322.6300.8–334.76247.9–76
2086319.4295.2–335.26449–78.8
2087320.2302.2–334.763.349.5–77.3
2088321.4299.8–334.863.148.2–78.4
2089318.9296.4–338.161.648.8–76.6
2090317.6304–337.464.950.6–79
2091320.1299.8–336.164.750–78.6
2092316.3298–336.46448.1–79
2093316.1297.7–333.764.350.1–80.2
2094323.4301.8–337.363.248.2–78.9
2095322.9302.4–338.964.149.8–79.8
2096319.6302.8–336.76549.9–79.6
2097319.8299.1–33663.347.3–81.2
2098320.5303.9–33664.349.7–79.2
2099319.9303.1–334.464.350.3–79.5
2100320.8301.1–336.763.950.3–80.2

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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