Argentina vs Bangladesh: Days above 35 °C

Days above 35 °C in 2014: 13.5 days in Argentina and 19.4 days in Bangladesh, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 5.9 days, or 1.44 times that in Argentina.

Watch it change on the map

days a year · CMIP6

ArgentinaBangladeshCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Bangladesh has been higher since 1993, when it overtook Argentina.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Argentina at 27.2 days and Bangladesh at 56.8 days in 2100.

Every year

days a year · CMIP6

Year	Argentina	Bangladesh
2014	13.5	19.4
2013	13.2	14.1
2012	14.1	17
2011	13.3	13.4
2010	13.1	16.9
2009	12.6	14.4
2008	12.4	14
2007	11.7	14.3
2006	11.3	17.8
2005	11.5	16.1
2004	12	14.7
2003	11.2	15.9
2002	12.7	17.7
2001	12.7	16.9
2000	10.9	16.6
1999	11	15.6
1998	11.3	15.4
1997	12.8	16.8
1996	11.6	14.2
1995	9.6	13.2
1994	9.2	15.2
1993	9.1	12.4
1992	9	8
1991	9.6	18.8
1990	8.8	18.5
1989	10.9	13.7
1988	10.5	13.5
1987	10.5	17.9
1986	10.4	17.9
1985	10.7	14.4
1984	9.6	19
1983	9.6	14.6
1982	9.5	16.3
1981	10.9	15.4
1980	10.8	14.5
1979	11.2	16.7
1978	10.6	15
1977	9.7	14.1
1976	10.4	17.5
1975	9.5	14.4
1974	10.5	17.3
1973	9	17
1972	9.7	15.7
1971	9.2	16.9
1970	9.9	16.5
1969	9.4	15.5
1968	9	16.2
1967	8.6	13.5
1966	9.9	15.6
1965	8.9	15.4
1964	7.1	14.7
1963	8.8	16.1
1962	11	19.1
1961	10.2	18
1960	11.1	19.2
1959	10.5	18
1958	9.6	17.5
1957	10.7	18.1
1956	10.6	19.2
1955	9.8	16.9
1954	9.6	19.4
1953	10.9	21
1952	10.7	17.2
1951	10.5	19.9
1950	9.4	22.3

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

Year	Argentina	Bangladesh
2015	14.78.1–22.2	17.85.5–30.2
2016	13.66.8–22	17.53.9–31.5
2017	14.26.9–22.4	14.14.8–29
2018	13.35.6–21.6	13.92–31
2019	14.56.9–23	14.93.9–28
2020	15.88.4–24.8	14.94.1–36.3
2021	15.38–24.6	17.25.6–33
2022	13.36.7–22.2	17.21.4–36.6
2023	14.99.3–22.1	18.16.6–32.2
2024	15.87.6–24	21.24.9–36.6
2025	16.410.2–23.4	16.73.9–36.8
2026	189.4–26.5	18.36.7–34
2027	16.49.1–26.2	18.33.5–38.2
2028	15.67.6–26.5	18.64.2–33.2
2029	15.97.3–26.3	18.22.2–34.9
2030	16.39.8–27.4	174.6–31.3
2031	15.88.1–24.9	153.9–32.1
2032	15.78.9–25.4	19.33.2–34.3
2033	16.18.4–25.7	17.53.9–32
2034	16.110.4–24.9	16.24–29.3
2035	16.810.2–27.5	16.26.6–31.6
2036	18.310.9–27.9	17.76.3–36.6
2037	18.310.2–27.3	20.65.7–39.1
2038	16.89.1–24.7	21.96.6–38.5
2039	17.39–25.8	21.45.1–43.2
2040	18.311.3–28.3	22.86–48.8
2041	19.310.7–29.3	19.44.7–44.5
2042	189.9–27.1	22.86.3–50.6
2043	189.5–27.5	25.17.2–47
2044	19.49.7–30.2	24.77.9–45
2045	20.511.8–30.1	24.110–42.5
2046	19.612–28.2	28.57.8–55.7
2047	19.78.9–31.3	26.47.4–50.6
2048	19.610.8–28.6	30.28–52.9
2049	20.411.6–30.7	29.511.3–54.1
2050	19.910.4–28.4	26.810.4–47.8
2051	20.511.5–30.8	32.713.4–54.3
2052	21.610.9–33.4	29.313–59.8
2053	20.411.3–30.2	26.79.4–54.9
2054	19.712–31.9	29.910.9–57.7
2055	21.310.1–34.1	34.613.5–60.8
2056	20.510.5–32.4	34.215.2–59
2057	21.711.5–34.7	3912.3–72.8
2058	21.312.4–33.2	38.917–69.9
2059	21.612.4–32.7	35.914.6–66
2060	2211.2–33.3	36.818.6–65.3
2061	2310.8–34.9	38.919.6–65.9
2062	2212.1–32.7	35.115.8–63.8
2063	24.114–33.8	42.114.5–66.9
2064	24.115.3–39.2	37.317–62.7
2065	23.712.7–34.9	35.618.5–60.2
2066	24.715.7–35.1	35.812.3–64.7
2067	24.912.6–37	32.612.9–61.8
2068	23.712.3–36.3	40.717.5–76.4
2069	2514–35.5	43.915.7–73.3
2070	24.413.3–37.1	33.714.7–63
2071	23.913.1–36.8	42.817.7–73.9
2072	23.814.5–38.9	42.718.2–68.1
2073	25.314.6–39.1	44.423.8–82.3
2074	24.511.6–36.9	4214.1–71.6
2075	25.312.9–38.6	41.515.2–70.1
2076	23.713.4–36.3	39.914.1–81.2
2077	24.615.3–36.4	42.723.6–83.6
2078	26.213.8–39.4	44.424.7–79.2
2079	23.913.4–36.8	43.923.1–74.7
2080	25.413.8–40.8	52.224.5–83
2081	2514.2–38	50.628.6–83
2082	2413.3–36.3	49.322.9–92.1
2083	25.415–39.2	49.218.9–88.7
2084	22.512.1–36	50.421.6–92.6
2085	23.412.2–36.2	49.920.5–104.5
2086	25.214–39.1	50.922.5–100.6
2087	2614.4–37.2	53.125–82.1
2088	26.214.9–40.2	46.314.7–108.4
2089	27.315.3–38.2	52.722.8–107.6
2090	27.115.8–41.5	55.216.3–89.2
2091	28.315.4–42.5	51.331.2–98
2092	29.316–42	55.422.1–101.2
2093	2615.1–44.6	47.718.8–94.6
2094	27.714.9–41	51.225.3–87.3
2095	26.713.8–43.1	57.624.4–95.1
2096	27.114.5–42.2	50.820–91.8
2097	2715.3–41.1	48.923.7–96
2098	26.715.9–42.2	52.926.4–94.7
2099	27.615.3–41	48.722.9–82
2100	27.214.1–45.4	56.822.9–95.8

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

Argentina vs Bangladesh: Days above 35 °C

What the numbers say

Every year

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