Brazil vs Thailand: Days above 35 °C

Days above 35 °C in 2014: 18.8 days in Brazil and 39.9 days in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 21.1 days, or 2.12 times that in Brazil.

Watch it change on the map

days a year · CMIP6

BrazilThailandCMIP6 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 Brazil at 80.8 days and Thailand at 95.9 days in 2100.

Every year

days a year · CMIP6

Year	Brazil	Thailand
2014	18.8	39.9
2013	21.8	42.1
2012	19.5	40.1
2011	19.6	39.9
2010	15.4	39.8
2009	16.6	37.9
2008	14.6	36
2007	11.6	33
2006	12	39.2
2005	14.2	34.9
2004	16.2	39.4
2003	15.5	34.1
2002	12.4	36.3
2001	16.1	37.8
2000	13.5	32.5
1999	11.4	29.7
1998	12.8	33.3
1997	11.7	33.7
1996	10	31.3
1995	8.8	33.5
1994	9.1	33.5
1993	7.8	30.4
1992	5.6	25.5
1991	8.5	35.4
1990	13.3	37.7
1989	10.2	29.3
1988	9.7	30.6
1987	9.4	31.2
1986	9.9	34.3
1985	7.5	29.3
1984	7	32.4
1983	6.4	30.4
1982	8.5	33.1
1981	9.4	29.5
1980	8.1	28.8
1979	9.1	32.4
1978	9	26.1
1977	8	31.5
1976	6.9	29.7
1975	6.8	25
1974	7.1	31.5
1973	7.3	34.5
1972	7	30.3
1971	5.8	27.1
1970	6.7	28.7
1969	6.9	29.9
1968	6.4	29.4
1967	6.4	28.3
1966	6.4	25.4
1965	6	27.1
1964	5.9	26.6
1963	4.9	26
1962	7.2	28.7
1961	7.5	31.1
1960	7.8	32.9
1959	7.5	24.4
1958	7.9	33
1957	8	27.8
1956	6.9	27.1
1955	8.6	31.2
1954	8.3	30.3
1953	6.8	28.2
1952	7.2	34.1
1951	7.2	33
1950	7.7	28.5

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

Year	Brazil	Thailand
2015	18.56.9–38.8	41.123.5–66.3
2016	18.57–35.9	38.915.7–61.2
2017	19.47.7–41.4	41.420.8–64.9
2018	19.87.6–41.4	43.521.7–65.5
2019	218.9–47.1	40.916.5–61.9
2020	21.98.7–43.2	45.617.3–66.6
2021	24.69.7–51.8	43.720.7–70.7
2022	23.410–51.2	47.826.4–73.3
2023	25.710.5–55.5	41.822.3–67.2
2024	27.713.3–51.1	44.726.9–70.9
2025	27.210.5–57.6	50.227.3–77
2026	24.48.1–53.1	44.425.2–80.5
2027	28.28.9–55.7	47.126.2–75.6
2028	29.411.9–61.9	51.123.1–73.3
2029	33.916.4–66.7	56.733.9–84.7
2030	28.211.6–56.6	50.726.1–78.9
2031	35.315.2–70.7	50.531.5–81.2
2032	35.616.6–67.3	49.823.6–85.7
2033	3113.5–63.2	53.432–73.7
2034	31.214.1–75.1	51.531.6–83.4
2035	30.814.4–68	52.228.9–89.2
2036	32.413.7–58.7	53.335.2–77.4
2037	39.419.6–66.5	57.632–82.5
2038	38.215.4–71.3	62.238.5–91.5
2039	37.214.6–75.5	55.127.8–78.8
2040	38.518.6–76.2	53.728.4–91.3
2041	41.819.9–76.6	6337.5–86.6
2042	39.917–86.1	54.826.4–94.7
2043	37.614.9–81.2	57.129.8–85.3
2044	38.416.1–84.4	57.336.7–95.7
2045	40.420.4–74.9	54.934.2–90.2
2046	5023.7–86.7	62.736.4–102.1
2047	43.522.9–86.4	63.635–98.5
2048	50.424.6–96.2	72.237.4–110.4
2049	49.823.9–90.2	66.240.8–98.3
2050	46.922–92.7	64.536.9–95.3
2051	47.324.9–95.6	66.135.5–97.1
2052	54.728.7–97.5	74.339.3–108.1
2053	47.122.6–92.3	64.635–106.7
2054	45.221.6–92.2	69.144.2–112.1
2055	52.228.6–103.8	71.445.3–107.6
2056	53.223.6–110.8	70.536.5–117.7
2057	50.620.2–94.7	7240–104.6
2058	55.325–117.3	73.140.6–107.3
2059	61.229–118.5	77.251.2–121.4
2060	6531.1–111.3	80.946–117
2061	54.123.5–115.4	77.335.3–117.8
2062	54.924.7–127.7	73.535.5–125.8
2063	59.428.6–112.9	83.640.3–122.6
2064	54.828.7–106.1	74.746.9–111.8
2065	62.330.3–119.5	69.939.5–124.8
2066	62.330.6–113.5	80.250.7–122.7
2067	60.926.9–113.1	69.437.9–116
2068	66.730.1–119.7	76.445.8–131.7
2069	60.631.5–113.8	77.747.4–128.7
2070	59.932.1–124.8	73.839.2–129.5
2071	64.433.8–111	80.642.2–131.6
2072	6830.5–128.1	81.347.5–135.3
2073	72.736–127.6	88.854.2–133.4
2074	68.832.6–125.7	8444.3–128.1
2075	67.832.7–116.4	82.838.3–123.9
2076	67.933.7–124.9	82.937.1–132.9
2077	72.535.5–128.9	8849.4–132.4
2078	7336.7–132	91.252–137
2079	69.233.6–125.5	85.749.5–144.4
2080	67.834.9–122.2	88.552.7–143.6
2081	70.936.9–140.4	87.150.9–135.1
2082	70.640.7–125.8	89.953.5–133.6
2083	75.735.7–152.5	87.145.8–149.7
2084	7734.1–140.3	8447.7–131
2085	83.937.2–147.8	93.853.8–141.8
2086	73.334.6–141	87.745.8–139.2
2087	78.439.2–144.2	86.447.4–139.2
2088	79.335.1–152	90.441.7–153.2
2089	75.239–146.4	90.149–151.2
2090	78.341.8–148.6	87.853.3–154.1
2091	8135.2–147.9	8648.2–148.6
2092	7936.6–148	92.650.2–149.9
2093	7739.3–148.7	89.854.6–159
2094	7939.6–144.5	95.549.6–143.6
2095	88.636.5–155.9	103.458.2–156.3
2096	75.736.1–152.8	89.951.3–155.4
2097	7936.7–135.6	94.550.2–142.6
2098	82.737.9–166.4	89.851.6–149.6
2099	77.941–144.7	88.244.7–147.4
2100	80.840.2–141.3	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

Brazil vs Thailand: Days above 35 °C

What the numbers say

Every year

Each country on its own

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