Bangladesh vs Brazil: Days above 35 °C

Days above 35 °C in 2014: 19.4 days in Bangladesh and 18.8 days in Brazil, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 0.6 days, or 1.03 times that in Brazil.

Watch it change on the map

days a year · CMIP6

BangladeshBrazilCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Bangladesh has been higher since 2014, when it overtook Brazil.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 56.8 days and Brazil at 80.8 days in 2100.

Every year

days a year · CMIP6

Year	Bangladesh	Brazil
2014	19.4	18.8
2013	14.1	21.8
2012	17	19.5
2011	13.4	19.6
2010	16.9	15.4
2009	14.4	16.6
2008	14	14.6
2007	14.3	11.6
2006	17.8	12
2005	16.1	14.2
2004	14.7	16.2
2003	15.9	15.5
2002	17.7	12.4
2001	16.9	16.1
2000	16.6	13.5
1999	15.6	11.4
1998	15.4	12.8
1997	16.8	11.7
1996	14.2	10
1995	13.2	8.8
1994	15.2	9.1
1993	12.4	7.8
1992	8	5.6
1991	18.8	8.5
1990	18.5	13.3
1989	13.7	10.2
1988	13.5	9.7
1987	17.9	9.4
1986	17.9	9.9
1985	14.4	7.5
1984	19	7
1983	14.6	6.4
1982	16.3	8.5
1981	15.4	9.4
1980	14.5	8.1
1979	16.7	9.1
1978	15	9
1977	14.1	8
1976	17.5	6.9
1975	14.4	6.8
1974	17.3	7.1
1973	17	7.3
1972	15.7	7
1971	16.9	5.8
1970	16.5	6.7
1969	15.5	6.9
1968	16.2	6.4
1967	13.5	6.4
1966	15.6	6.4
1965	15.4	6
1964	14.7	5.9
1963	16.1	4.9
1962	19.1	7.2
1961	18	7.5
1960	19.2	7.8
1959	18	7.5
1958	17.5	7.9
1957	18.1	8
1956	19.2	6.9
1955	16.9	8.6
1954	19.4	8.3
1953	21	6.8
1952	17.2	7.2
1951	19.9	7.2
1950	22.3	7.7

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

Year	Bangladesh	Brazil
2015	17.85.5–30.2	18.56.9–38.8
2016	17.53.9–31.5	18.57–35.9
2017	14.14.8–29	19.47.7–41.4
2018	13.92–31	19.87.6–41.4
2019	14.93.9–28	218.9–47.1
2020	14.94.1–36.3	21.98.7–43.2
2021	17.25.6–33	24.69.7–51.8
2022	17.21.4–36.6	23.410–51.2
2023	18.16.6–32.2	25.710.5–55.5
2024	21.24.9–36.6	27.713.3–51.1
2025	16.73.9–36.8	27.210.5–57.6
2026	18.36.7–34	24.48.1–53.1
2027	18.33.5–38.2	28.28.9–55.7
2028	18.64.2–33.2	29.411.9–61.9
2029	18.22.2–34.9	33.916.4–66.7
2030	174.6–31.3	28.211.6–56.6
2031	153.9–32.1	35.315.2–70.7
2032	19.33.2–34.3	35.616.6–67.3
2033	17.53.9–32	3113.5–63.2
2034	16.24–29.3	31.214.1–75.1
2035	16.26.6–31.6	30.814.4–68
2036	17.76.3–36.6	32.413.7–58.7
2037	20.65.7–39.1	39.419.6–66.5
2038	21.96.6–38.5	38.215.4–71.3
2039	21.45.1–43.2	37.214.6–75.5
2040	22.86–48.8	38.518.6–76.2
2041	19.44.7–44.5	41.819.9–76.6
2042	22.86.3–50.6	39.917–86.1
2043	25.17.2–47	37.614.9–81.2
2044	24.77.9–45	38.416.1–84.4
2045	24.110–42.5	40.420.4–74.9
2046	28.57.8–55.7	5023.7–86.7
2047	26.47.4–50.6	43.522.9–86.4
2048	30.28–52.9	50.424.6–96.2
2049	29.511.3–54.1	49.823.9–90.2
2050	26.810.4–47.8	46.922–92.7
2051	32.713.4–54.3	47.324.9–95.6
2052	29.313–59.8	54.728.7–97.5
2053	26.79.4–54.9	47.122.6–92.3
2054	29.910.9–57.7	45.221.6–92.2
2055	34.613.5–60.8	52.228.6–103.8
2056	34.215.2–59	53.223.6–110.8
2057	3912.3–72.8	50.620.2–94.7
2058	38.917–69.9	55.325–117.3
2059	35.914.6–66	61.229–118.5
2060	36.818.6–65.3	6531.1–111.3
2061	38.919.6–65.9	54.123.5–115.4
2062	35.115.8–63.8	54.924.7–127.7
2063	42.114.5–66.9	59.428.6–112.9
2064	37.317–62.7	54.828.7–106.1
2065	35.618.5–60.2	62.330.3–119.5
2066	35.812.3–64.7	62.330.6–113.5
2067	32.612.9–61.8	60.926.9–113.1
2068	40.717.5–76.4	66.730.1–119.7
2069	43.915.7–73.3	60.631.5–113.8
2070	33.714.7–63	59.932.1–124.8
2071	42.817.7–73.9	64.433.8–111
2072	42.718.2–68.1	6830.5–128.1
2073	44.423.8–82.3	72.736–127.6
2074	4214.1–71.6	68.832.6–125.7
2075	41.515.2–70.1	67.832.7–116.4
2076	39.914.1–81.2	67.933.7–124.9
2077	42.723.6–83.6	72.535.5–128.9
2078	44.424.7–79.2	7336.7–132
2079	43.923.1–74.7	69.233.6–125.5
2080	52.224.5–83	67.834.9–122.2
2081	50.628.6–83	70.936.9–140.4
2082	49.322.9–92.1	70.640.7–125.8
2083	49.218.9–88.7	75.735.7–152.5
2084	50.421.6–92.6	7734.1–140.3
2085	49.920.5–104.5	83.937.2–147.8
2086	50.922.5–100.6	73.334.6–141
2087	53.125–82.1	78.439.2–144.2
2088	46.314.7–108.4	79.335.1–152
2089	52.722.8–107.6	75.239–146.4
2090	55.216.3–89.2	78.341.8–148.6
2091	51.331.2–98	8135.2–147.9
2092	55.422.1–101.2	7936.6–148
2093	47.718.8–94.6	7739.3–148.7
2094	51.225.3–87.3	7939.6–144.5
2095	57.624.4–95.1	88.636.5–155.9
2096	50.820–91.8	75.736.1–152.8
2097	48.923.7–96	7936.7–135.6
2098	52.926.4–94.7	82.737.9–166.4
2099	48.722.9–82	77.941–144.7
2100	56.822.9–95.8	80.840.2–141.3

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

Bangladesh vs Brazil: Days above 35 °C

What the numbers say

Every year

Each country on its own

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