Mexico vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 32.8 days in Mexico and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 7.1 days, or 1.22 times that in Mexico.

Watch it change on the map

days 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 67.8 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

Year	Mexico	Thailand
2014	32.8	39.9
2013	31.6	42.1
2012	30.4	40.1
2011	30.5	39.9
2010	31.8	39.8
2009	30.6	37.9
2008	30.7	36
2007	29	33
2006	28.6	39.2
2005	29.2	34.9
2004	29.4	39.4
2003	27.2	34.1
2002	27.8	36.3
2001	29.6	37.8
2000	27.9	32.5
1999	26.4	29.7
1998	27	33.3
1997	26.7	33.7
1996	25.7	31.3
1995	25.1	33.5
1994	24.1	33.5
1993	21.9	30.4
1992	20.9	25.5
1991	26.5	35.4
1990	26.5	37.7
1989	24	29.3
1988	23.9	30.6
1987	25.7	31.2
1986	24.1	34.3
1985	21.9	29.3
1984	22	32.4
1983	20.7	30.4
1982	22.1	33.1
1981	23.4	29.5
1980	22.5	28.8
1979	24	32.4
1978	22.5	26.1
1977	22.8	31.5
1976	22.2	29.7
1975	21.3	25
1974	22.6	31.5
1973	21.7	34.5
1972	22.5	30.3
1971	21.2	27.1
1970	22.3	28.7
1969	23.1	29.9
1968	21.7	29.4
1967	22.8	28.3
1966	21.9	25.4
1965	20.3	27.1
1964	20.6	26.6
1963	22.1	26
1962	22.7	28.7
1961	23.5	31.1
1960	23.2	32.9
1959	23.7	24.4
1958	22.9	33
1957	22.3	27.8
1956	22.8	27.1
1955	23.1	31.2
1954	22.1	30.3
1953	22.5	28.2
1952	21.4	34.1
1951	22.1	33
1950	22.3	28.5

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

Year	Mexico	Thailand
2015	35.225.3–48.5	41.123.5–66.3
2016	33.924.5–44.6	38.915.7–61.2
2017	35.424.4–46.9	41.420.8–64.9
2018	3625.2–47.9	43.521.7–65.5
2019	36.726–51.6	40.916.5–61.9
2020	37.325.8–50.6	45.617.3–66.6
2021	37.726.7–51.1	43.720.7–70.7
2022	37.225.5–52	47.826.4–73.3
2023	38.426.6–52.5	41.822.3–67.2
2024	42.228.1–55.6	44.726.9–70.9
2025	39.627.6–53.3	50.227.3–77
2026	39.126.4–51.8	44.425.2–80.5
2027	37.926.5–53.6	47.126.2–75.6
2028	40.127.8–55.7	51.123.1–73.3
2029	41.727.6–56.7	56.733.9–84.7
2030	39.325.9–53	50.726.1–78.9
2031	4127.8–56.3	50.531.5–81.2
2032	42.527.6–55.9	49.823.6–85.7
2033	42.530.2–57.1	53.432–73.7
2034	40.427.8–56.6	51.531.6–83.4
2035	40.528.2–56.9	52.228.9–89.2
2036	41.428.9–55.3	53.335.2–77.4
2037	44.230–59.6	57.632–82.5
2038	45.130.6–59.7	62.238.5–91.5
2039	4732.9–63.1	55.127.8–78.8
2040	46.933.9–61.8	53.728.4–91.3
2041	44.530.9–60.8	6337.5–86.6
2042	48.633.8–64.3	54.826.4–94.7
2043	46.632.5–63.4	57.129.8–85.3
2044	47.234.1–63.7	57.336.7–95.7
2045	48.333.7–65.3	54.934.2–90.2
2046	5035.6–64.3	62.736.4–102.1
2047	51.537.2–67	63.635–98.5
2048	50.235.3–67.1	72.237.4–110.4
2049	52.336.1–69.5	66.240.8–98.3
2050	50.234.4–66.5	64.536.9–95.3
2051	50.436.9–66.9	66.135.5–97.1
2052	5235.5–68.6	74.339.3–108.1
2053	5336.9–70.2	64.635–106.7
2054	52.835.8–69.3	69.144.2–112.1
2055	54.437.3–71.1	71.445.3–107.6
2056	52.837.6–69.6	70.536.5–117.7
2057	55.937–72	7240–104.6
2058	51.536.7–70.5	73.140.6–107.3
2059	55.340.6–72.6	77.251.2–121.4
2060	55.739.5–73.4	80.946–117
2061	57.642.1–73.9	77.335.3–117.8
2062	5535.6–77	73.535.5–125.8
2063	57.641.7–77.2	83.640.3–122.6
2064	58.242.8–75	74.746.9–111.8
2065	59.540.3–79	69.939.5–124.8
2066	57.940.6–76.3	80.250.7–122.7
2067	5841.9–76.7	69.437.9–116
2068	60.343.2–79.1	76.445.8–131.7
2069	58.339.8–80.5	77.747.4–128.7
2070	60.239.8–80.8	73.839.2–129.5
2071	61.344.6–81.4	80.642.2–131.6
2072	63.144–80.9	81.347.5–135.3
2073	62.842.3–85.4	88.854.2–133.4
2074	6043.5–80.9	8444.3–128.1
2075	60.842.2–80.8	82.838.3–123.9
2076	61.242.4–83.6	82.937.1–132.9
2077	60.843.2–79.8	8849.4–132.4
2078	64.744.4–86.4	91.252–137
2079	6646.1–87.4	85.749.5–144.4
2080	64.744–84.6	88.552.7–143.6
2081	64.845.7–84.4	87.150.9–135.1
2082	63.643.2–82.2	89.953.5–133.6
2083	65.140.9–89.7	87.145.8–149.7
2084	65.446.4–86.3	8447.7–131
2085	65.744.8–85.9	93.853.8–141.8
2086	64.644.8–85.1	87.745.8–139.2
2087	64.644.4–84.2	86.447.4–139.2
2088	6545.7–86.5	90.441.7–153.2
2089	66.644.2–87.9	90.149–151.2
2090	66.246–89	87.853.3–154.1
2091	6946.6–92.4	8648.2–148.6
2092	67.746–86.5	92.650.2–149.9
2093	66.846.9–91.6	89.854.6–159
2094	67.546.7–92.1	95.549.6–143.6
2095	70.149.8–93.9	103.458.2–156.3
2096	68.547.9–91.7	89.951.3–155.4
2097	67.346–89.7	94.550.2–142.6
2098	71.348.2–95.2	89.851.6–149.6
2099	68.349.1–91.5	88.244.7–147.4
2100	67.846.4–88.6	95.951.1–153.3

Each country on its own

Good to know

Days in a year whose highest temperature passes 35 °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: Days above 35 °C

What the numbers say

Every year

Each country on its own

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