Malaysia vs Thailand

Malaysia vs Thailand: Tropical nights

Tropical nights in 2014: 323 nights in Malaysia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 36.6 nights, or 1.13 times that in Thailand.

Watch it change on the map

nights a year · CMIP6

Malaysia vs Thailand: Tropical nightsTropical nights in 2014: 323 nights in Malaysia and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Malaysia, by 36.6 nights, or 1.13 times that in Thailand.
MalaysiaThailandCMIP6 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 Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

YearMalaysiaThailand
2014323286.4
2013323.9289.1
2012323.3286.6
2011320.9286.4
2010320.9286
2009320.3286.9
2008317.9284.8
2007317.8283.2
2006317.3284.3
2005318.4281.7
2004319.4287.5
2003316279.3
2002316280
2001316.5285.5
2000314.5283.4
1999312.9282.5
1998312.5282.7
1997310.6284.8
1996307.1279.8
1995307.3278.7
1994304.1280.8
1993298.2275.6
1992293.6268.8
1991308.9276.7
1990310.4279.2
1989306.9278.4
1988306.8279.6
1987306277.9
1986305.5277.5
1985301.7276
1984302.1277.9
1983297.2273.9
1982302.6275.7
1981303.7277.8
1980303.3277.9
1979302.4278
1978301276
1977301.3277.3
1976298.9275.6
1975297.7274.4
1974298.1276
1973299.1280.6
1972297273.9
1971298.3273.2
1970296276
1969297.4274.8
1968295.2277
1967293.1270.3
1966296.2274.4
1965293.1275.8
1964291.3271.9
1963291.6274.7
1962299.1275.4
1961299.5278.5
1960300.1276.2
1959299.9274.4
1958301.7278.7
1957299277.4
1956298.1277
1955299.3274.6
1954296.8275
1953298.8275.4
1952299.4275.1
1951299.1277.5
1950300276.2
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMalaysiaThailand
2015324.4308.5–333.7290.6272.2–305
2016323.8310.5–334.9287.1269.8–306.2
2017325.6309.9–334.4290273.8–302.8
2018325.7310.7–335.4292.6275.1–308.7
2019326.4311.9–335.3291.2272.8–306.7
2020328313.4–337.7292.4272.2–307.8
2021328.8314–336.3294.2276.3–308.5
2022329315.3–339294.8277.2–311.9
2023330.1316–340.5296.1281.9–310.2
2024332319.6–340.7291.7275.5–307.8
2025330.3317.7–342294276.7–306.3
2026330.2315.1–342.9296278–309.3
2027331315.2–342.4295.8276.3–311.1
2028332.4319–341.9297279.3–315.1
2029334.4322.5–344.9300.3278.7–315
2030333.4319.2–342.6297.7280.2–312.5
2031333.8317.1–342.5300.8282.8–317.1
2032336.5323.3–345.9297.2280.9–311.4
2033336.4322.5–343.3300281.9–315.8
2034334.8322.7–344.3300.8279–318.4
2035334.7323.3–347.9298.6281.5–317.8
2036336.9320.7–346.2300.4279.9–316.9
2037338.3325.4–345.3299.8280–315.1
2038339.7326.9–347.4304.8286.6–319.3
2039340326–347.4300.9281.9–317
2040338.6325.1–349301.6284.5–315.7
2041340.3326.3–348.1303.1285.1–318.8
2042339.9326.9–349.6303.8290–318.3
2043338.3324.3–348.3302285.8–317.9
2044340.6326.3–350.4304.3286.3–318.8
2045340.9327.4–349.8307.1287.7–324.2
2046343.3327.6–351.4305.9285.2–321
2047343325.3–352.9306.6289.5–321.5
2048342.6329–352.5309.4288.9–325.7
2049343.8331.1–354.1308.1287.2–324.1
2050342.7328.1–353.5307.5291–321.5
2051344.5330.7–354.3312.8294.8–326
2052345.1330.3–355310.9291.2–323.4
2053344.2331–353.5308.3289.5–323.3
2054345330.1–354.6308.8292.8–322.3
2055346.1332–354.3308.6290.6–325.1
2056346.5332.2–356.6311.3294.9–326.3
2057347.9332.3–355.4308.5286.7–326.4
2058347333.5–355.6308291.1–325.1
2059346.9333.4–356.2312.7295.8–325.3
2060349.7334.9–357.3313.1294.6–328.6
2061348.4334.1–356.1314.4289.5–331.1
2062348.4331.8–357.7311.4293.4–330.3
2063348.7333.2–357.7314.8296.9–327.3
2064349.1333.8–357.5312.5295.4–330
2065348.6334.6–356.8309.6293.1–329.3
2066349.3335–357.5312.1292.6–328
2067349.1334–356.6311.2289.6–329.4
2068350334.6–358.7310.8292.4–330.6
2069349.5334.2–357.9315.5296.1–329.5
2070349.2336.2–357.7314.2292.9–330.7
2071350.9336.1–358.6313.8296.4–330.8
2072351337.2–357.9314.8296–329.6
2073351.1338.7–359.9316.5299.9–332.1
2074350337.8–359.4317.2295–333.8
2075350.5335.4–358.1317.2295.3–331.4
2076351.6337.5–359.7317.4299.8–335
2077352.4336.4–359.9317.5297.3–335.9
2078351.3338.9–358.8315.9297.1–331.6
2079351.8337.9–359.7318.5300.5–332.3
2080352.4338.8–360.7319.8297.4–337.5
2081352.2337.3–359.7317.7299.5–334.9
2082352.7336.9–358.9317.9294.8–333
2083352.5339.6–360.4315297.8–332.9
2084353.5337.9–360.4316295.5–330
2085352.9340.2–360.2322.6300.8–334.7
2086352.8339.9–360319.4295.2–335.2
2087352.8338.4–361320.2302.2–334.7
2088354340–360.9321.4299.8–334.8
2089353.7339.7–359.9318.9296.4–338.1
2090353.3340.3–360.6317.6304–337.4
2091354.7338.9–361320.1299.8–336.1
2092355.3340.4–361.7316.3298–336.4
2093353.5339.3–362316.1297.7–333.7
2094355.4341.2–360.4323.4301.8–337.3
2095355339.4–360.6322.9302.4–338.9
2096353.6339.6–363.1319.6302.8–336.7
2097354.3339.5–360.6319.8299.1–336
2098354.8340.2–360.7320.5303.9–336
2099353.7340–361.8319.9303.1–334.4
2100354.8340.4–360.8320.8301.1–336.7

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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