Mexico vs Thailand: Tropical nights

Tropical nights in 2014: 103.7 nights in Mexico and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 182.7 nights, or 2.76 times that in Mexico.

Watch it change on the map

nights a year · CMIP6

MexicoThailandCMIP6 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 Mexico at 142.8 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

Year	Mexico	Thailand
2014	103.7	286.4
2013	103.9	289.1
2012	102.8	286.6
2011	102.9	286.4
2010	101.5	286
2009	101.8	286.9
2008	100.1	284.8
2007	99.1	283.2
2006	99.8	284.3
2005	99.5	281.7
2004	99.4	287.5
2003	98.3	279.3
2002	99.1	280
2001	98.7	285.5
2000	97.9	283.4
1999	96.6	282.5
1998	95.8	282.7
1997	95.9	284.8
1996	93.8	279.8
1995	92.7	278.7
1994	90.7	280.8
1993	89	275.6
1992	88.5	268.8
1991	93.4	276.7
1990	94.9	279.2
1989	93	278.4
1988	92.1	279.6
1987	92	277.9
1986	90.2	277.5
1985	90	276
1984	88	277.9
1983	86.7	273.9
1982	88.7	275.7
1981	91.5	277.8
1980	90.1	277.9
1979	90.8	278
1978	89	276
1977	89	277.3
1976	89.1	275.6
1975	86.8	274.4
1974	87.9	276
1973	88.6	280.6
1972	87.7	273.9
1971	86.8	273.2
1970	86.1	276
1969	87.5	274.8
1968	87.1	277
1967	86.7	270.3
1966	86.4	274.4
1965	84.9	275.8
1964	84.7	271.9
1963	87.1	274.7
1962	88	275.4
1961	89.5	278.5
1960	89.7	276.2
1959	89.6	274.4
1958	89.1	278.7
1957	89	277.4
1956	88.5	277
1955	88.2	274.6
1954	88.4	275
1953	88.6	275.4
1952	87.8	275.1
1951	89.4	277.5
1950	88.1	276.2

CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100

Year	Mexico	Thailand
2015	106.192.9–118.4	290.6272.2–305
2016	107.695–120	287.1269.8–306.2
2017	108.696.3–119.7	290273.8–302.8
2018	10997.1–120.4	292.6275.1–308.7
2019	110.396.4–123	291.2272.8–306.7
2020	109.696.8–121.8	292.4272.2–307.8
2021	111.296.9–124.1	294.2276.3–308.5
2022	109.796–121.7	294.8277.2–311.9
2023	111.898.6–125.3	296.1281.9–310.2
2024	112.298.2–126.2	291.7275.5–307.8
2025	11298.8–125.8	294276.7–306.3
2026	113.999.5–126.4	296278–309.3
2027	112.999.5–128.3	295.8276.3–311.1
2028	115.2101.9–127.9	297279.3–315.1
2029	115.6101.9–127.9	300.3278.7–315
2030	115.9101.7–128.4	297.7280.2–312.5
2031	116.1100.9–129.9	300.8282.8–317.1
2032	116.1102.5–129.1	297.2280.9–311.4
2033	117.5102.5–131.1	300281.9–315.8
2034	117.2104.1–130.3	300.8279–318.4
2035	116.4103.1–130.3	298.6281.5–317.8
2036	117.8105.1–131	300.4279.9–316.9
2037	118.6104.3–131.7	299.8280–315.1
2038	121107.5–133.4	304.8286.6–319.3
2039	121.3107–135.6	300.9281.9–317
2040	121.9108.1–135.1	301.6284.5–315.7
2041	121.3105.3–134.6	303.1285.1–318.8
2042	122.7107.7–137.1	303.8290–318.3
2043	122.4108.1–137.5	302285.8–317.9
2044	121.9108–135.6	304.3286.3–318.8
2045	123.1108.8–139.2	307.1287.7–324.2
2046	123.8109.9–139.4	305.9285.2–321
2047	125.6111.9–139.4	306.6289.5–321.5
2048	126.3113–140.3	309.4288.9–325.7
2049	127111.2–140.8	308.1287.2–324.1
2050	128.1112.6–142.5	307.5291–321.5
2051	127.2113.4–140.8	312.8294.8–326
2052	126.2112.5–141.1	310.9291.2–323.4
2053	128.4111.5–142.7	308.3289.5–323.3
2054	128.1113.1–142.3	308.8292.8–322.3
2055	129114.4–144.7	308.6290.6–325.1
2056	129.5114.3–143.8	311.3294.9–326.3
2057	130.3113.5–145.9	308.5286.7–326.4
2058	128.8114.1–144.5	308291.1–325.1
2059	129.5114.5–144.5	312.7295.8–325.3
2060	131.4115.5–146.5	313.1294.6–328.6
2061	131.3118.4–146.8	314.4289.5–331.1
2062	130.8115.1–146.3	311.4293.4–330.3
2063	131.2115.6–147.9	314.8296.9–327.3
2064	132.2116.5–147.8	312.5295.4–330
2065	133.1115.8–148.6	309.6293.1–329.3
2066	133.3117.2–149.4	312.1292.6–328
2067	133.3117–150.3	311.2289.6–329.4
2068	134.6117.4–150.5	310.8292.4–330.6
2069	134.4117.8–150.9	315.5296.1–329.5
2070	134.2116.7–151.8	314.2292.9–330.7
2071	136.3120.8–152.7	313.8296.4–330.8
2072	137.2119.9–153.1	314.8296–329.6
2073	136.1119.1–153.6	316.5299.9–332.1
2074	136119.7–152.2	317.2295–333.8
2075	135.2118.5–151.8	317.2295.3–331.4
2076	136.3117.4–154.7	317.4299.8–335
2077	136.8119.6–152.8	317.5297.3–335.9
2078	137.1118.3–154.2	315.9297.1–331.6
2079	138.1121.3–157.1	318.5300.5–332.3
2080	137.6120.5–157.9	319.8297.4–337.5
2081	137.8120.7–154.7	317.7299.5–334.9
2082	138.7121.6–155.2	317.9294.8–333
2083	139.2119.3–158.8	315297.8–332.9
2084	140.3123.4–157.5	316295.5–330
2085	139.2120.9–157.2	322.6300.8–334.7
2086	139.8121–157.8	319.4295.2–335.2
2087	139.5121.5–157.4	320.2302.2–334.7
2088	141121.8–159.9	321.4299.8–334.8
2089	140.4121.7–158.9	318.9296.4–338.1
2090	141.2123–160.7	317.6304–337.4
2091	141.8123–161.6	320.1299.8–336.1
2092	141.3122.5–159.3	316.3298–336.4
2093	141.4124.3–161	316.1297.7–333.7
2094	142123.3–159.6	323.4301.8–337.3
2095	143.5124–160.7	322.9302.4–338.9
2096	142.3125–161.3	319.6302.8–336.7
2097	141.2123.2–160	319.8299.1–336
2098	142.2122.5–162	320.5303.9–336
2099	141.8122.4–160.7	319.9303.1–334.4
2100	142.8124.3–160.8	320.8301.1–336.7

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

Mexico vs Thailand: Tropical nights

What the numbers say

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