Bangladesh vs Mexico: Tropical nights

Tropical nights in 2014: 239.9 nights in Bangladesh and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Bangladesh, by 136.2 nights, or 2.31 times that in Mexico.

Watch it change on the map

nights a year · CMIP6

BangladeshMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Bangladesh has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Bangladesh at 269.8 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

Year	Bangladesh	Mexico
2014	239.9	103.7
2013	239	103.9
2012	240.4	102.8
2011	240.5	102.9
2010	241	101.5
2009	238.6	101.8
2008	236.7	100.1
2007	236.9	99.1
2006	238.9	99.8
2005	238.2	99.5
2004	238.7	99.4
2003	236.5	98.3
2002	237.6	99.1
2001	237.2	98.7
2000	239.3	97.9
1999	236.6	96.6
1998	235.5	95.8
1997	235.5	95.9
1996	235.5	93.8
1995	234.8	92.7
1994	233.6	90.7
1993	232.2	89
1992	228	88.5
1991	233.4	93.4
1990	234.6	94.9
1989	235.7	93
1988	235.1	92.1
1987	236.4	92
1986	233.8	90.2
1985	233.6	90
1984	236	88
1983	230	86.7
1982	232.3	88.7
1981	235.9	91.5
1980	233.4	90.1
1979	234.5	90.8
1978	231.8	89
1977	232.3	89
1976	232	89.1
1975	231.3	86.8
1974	232.9	87.9
1973	232.1	88.6
1972	234.3	87.7
1971	233.1	86.8
1970	232.5	86.1
1969	231.1	87.5
1968	229.7	87.1
1967	231.6	86.7
1966	232.6	86.4
1965	232.5	84.9
1964	229.3	84.7
1963	233.8	87.1
1962	231.9	88
1961	236.2	89.5
1960	232.5	89.7
1959	234.7	89.6
1958	233.5	89.1
1957	232.5	89
1956	234.3	88.5
1955	230.2	88.2
1954	232.9	88.4
1953	234	88.6
1952	230.3	87.8
1951	233.5	89.4
1950	233.9	88.1

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

Year	Bangladesh	Mexico
2015	241.2227–252.4	106.192.9–118.4
2016	237.9226.6–249.3	107.695–120
2017	239.8227.5–249.4	108.696.3–119.7
2018	242.6227–255	10997.1–120.4
2019	241.2228.5–251.9	110.396.4–123
2020	242.6229.3–254.4	109.696.8–121.8
2021	244.3230.4–254.4	111.296.9–124.1
2022	243.8231.5–254.2	109.796–121.7
2023	243.5229.2–254.5	111.898.6–125.3
2024	245.7231.4–257.1	112.298.2–126.2
2025	242.5229.4–253.9	11298.8–125.8
2026	243.9227.9–258.1	113.999.5–126.4
2027	247.1232.8–259.3	112.999.5–128.3
2028	244.2232.2–254.4	115.2101.9–127.9
2029	247.3232.7–261.5	115.6101.9–127.9
2030	243.9232.3–255.2	115.9101.7–128.4
2031	245.1232.9–262.3	116.1100.9–129.9
2032	247.6236.6–257.8	116.1102.5–129.1
2033	245.3231.7–256.6	117.5102.5–131.1
2034	246.3233.2–260.4	117.2104.1–130.3
2035	246.4234.1–260.9	116.4103.1–130.3
2036	246.2228.6–260.4	117.8105.1–131
2037	247.7235.4–260.2	118.6104.3–131.7
2038	249232.1–261	121107.5–133.4
2039	250234.4–262.7	121.3107–135.6
2040	248.9235.5–260.5	121.9108.1–135.1
2041	248.3235.6–261.9	121.3105.3–134.6
2042	252.5237.8–265.3	122.7107.7–137.1
2043	250.8234.7–263.4	122.4108.1–137.5
2044	251.8239.1–265.2	121.9108–135.6
2045	250.3239.1–265.6	123.1108.8–139.2
2046	252.7238.9–267.8	123.8109.9–139.4
2047	253.9239.4–267.1	125.6111.9–139.4
2048	254.4242.7–270.5	126.3113–140.3
2049	253.7241.5–266.4	127111.2–140.8
2050	254.6242.5–269.2	128.1112.6–142.5
2051	254.7242.7–270.1	127.2113.4–140.8
2052	252.3240.2–264.6	126.2112.5–141.1
2053	256.9244–272.4	128.4111.5–142.7
2054	255.9243.5–269.4	128.1113.1–142.3
2055	255.2243.8–273.6	129114.4–144.7
2056	259.1243.6–274.7	129.5114.3–143.8
2057	257.5243.8–273.7	130.3113.5–145.9
2058	257.4245.6–274.2	128.8114.1–144.5
2059	258.3246.4–271.8	129.5114.5–144.5
2060	259.2246.1–272.6	131.4115.5–146.5
2061	257.7244.8–270.1	131.3118.4–146.8
2062	260.4246.4–274.2	130.8115.1–146.3
2063	259.9241.3–272.7	131.2115.6–147.9
2064	260.2245.9–273.1	132.2116.5–147.8
2065	259.8244.1–274.7	133.1115.8–148.6
2066	260246.6–274.6	133.3117.2–149.4
2067	261.4246.4–272.3	133.3117–150.3
2068	260.1245.8–274.8	134.6117.4–150.5
2069	263.3249.8–276.6	134.4117.8–150.9
2070	259.6245.8–272.6	134.2116.7–151.8
2071	262.2248.7–283.4	136.3120.8–152.7
2072	259.8248.6–276	137.2119.9–153.1
2073	264.1246.6–277.2	136.1119.1–153.6
2074	262.6248.3–276.6	136119.7–152.2
2075	263.6248.5–277.7	135.2118.5–151.8
2076	261.6251–276.9	136.3117.4–154.7
2077	264251.1–279.8	136.8119.6–152.8
2078	265251.6–281.6	137.1118.3–154.2
2079	263.8248.5–277.2	138.1121.3–157.1
2080	266.8251.9–280.3	137.6120.5–157.9
2081	266.5250.7–279.9	137.8120.7–154.7
2082	264249.6–277.3	138.7121.6–155.2
2083	266.6251.8–282.8	139.2119.3–158.8
2084	264.8253.1–284.2	140.3123.4–157.5
2085	265.4251.2–283.4	139.2120.9–157.2
2086	268.2252.8–285.3	139.8121–157.8
2087	265.7251.3–280.8	139.5121.5–157.4
2088	267.2252.6–284.4	141121.8–159.9
2089	267.1252.5–286.7	140.4121.7–158.9
2090	267.9254.9–283.4	141.2123–160.7
2091	267.7254.5–282.2	141.8123–161.6
2092	268.8253.6–281.7	141.3122.5–159.3
2093	268.1251.7–287	141.4124.3–161
2094	267.4251.3–287.4	142123.3–159.6
2095	270.8253.7–284.9	143.5124–160.7
2096	267.9250.5–285.8	142.3125–161.3
2097	269.3254.9–287.3	141.2123.2–160
2098	268.8252.4–284.9	142.2122.5–162
2099	269253–282.3	141.8122.4–160.7
2100	269.8254.8–284.9	142.8124.3–160.8

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

Bangladesh vs Mexico: Tropical nights

What the numbers say

Every year

Each country on its own

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Bangladesh vs Mexico

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