Brazil vs Mexico: Tropical nights

Tropical nights in 2014: 282 nights in Brazil and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Brazil, by 178.3 nights, or 2.72 times that in Mexico.

Watch it change on the map

nights a year · CMIP6

BrazilMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Brazil 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 317.3 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

Year	Brazil	Mexico
2014	282	103.7
2013	282.5	103.9
2012	283.6	102.8
2011	281.8	102.9
2010	280.2	101.5
2009	279.2	101.8
2008	277.8	100.1
2007	275.9	99.1
2006	275.4	99.8
2005	275.8	99.5
2004	278.5	99.4
2003	276.7	98.3
2002	276.2	99.1
2001	277.7	98.7
2000	273.3	97.9
1999	271	96.6
1998	273.6	95.8
1997	270.9	95.9
1996	264.7	93.8
1995	263.8	92.7
1994	263.6	90.7
1993	258.3	89
1992	252.8	88.5
1991	269.7	93.4
1990	272.5	94.9
1989	267.1	93
1988	264.7	92.1
1987	265.9	92
1986	265.7	90.2
1985	260.6	90
1984	261.1	88
1983	255.9	86.7
1982	264.8	88.7
1981	265.3	91.5
1980	262	90.1
1979	261.2	90.8
1978	259.7	89
1977	261.8	89
1976	258.4	89.1
1975	252.4	86.8
1974	258.7	87.9
1973	261	88.6
1972	258.1	87.7
1971	256.5	86.8
1970	254.5	86.1
1969	255.1	87.5
1968	254.9	87.1
1967	250.3	86.7
1966	254.5	86.4
1965	250.8	84.9
1964	246.2	84.7
1963	241.9	87.1
1962	257.9	88
1961	258.2	89.5
1960	260.3	89.7
1959	255.7	89.6
1958	258.1	89.1
1957	256.6	89
1956	251.2	88.5
1955	257.2	88.2
1954	258	88.4
1953	255.2	88.6
1952	255.8	87.8
1951	256.3	89.4
1950	254.4	88.1

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

Year	Brazil	Mexico
2015	284257.6–299.5	106.192.9–118.4
2016	281.5261.4–296.3	107.695–120
2017	284.1263.2–297.8	108.696.3–119.7
2018	283.4263.1–298.8	10997.1–120.4
2019	283.7262.9–302.4	110.396.4–123
2020	286.3264.2–303.6	109.696.8–121.8
2021	287.9266.9–302.3	111.296.9–124.1
2022	289.6270.7–303.9	109.796–121.7
2023	287.3270.5–303	111.898.6–125.3
2024	291.5268.2–304.6	112.298.2–126.2
2025	289.6269.1–304.8	11298.8–125.8
2026	289.7266.2–305.1	113.999.5–126.4
2027	289.5269.1–303.7	112.999.5–128.3
2028	291.2271.9–306	115.2101.9–127.9
2029	295.5276.3–309.6	115.6101.9–127.9
2030	292.2269.1–306.9	115.9101.7–128.4
2031	295.3274–308.9	116.1100.9–129.9
2032	296.8280.1–310.9	116.1102.5–129.1
2033	295.4273.3–308.5	117.5102.5–131.1
2034	294.3273.5–311.8	117.2104.1–130.3
2035	295.2274.4–310.9	116.4103.1–130.3
2036	295.1278.2–307.8	117.8105.1–131
2037	299.9283.7–311.3	118.6104.3–131.7
2038	299.6283.5–312.1	121107.5–133.4
2039	296.9279.9–311	121.3107–135.6
2040	298.5279.4–311.9	121.9108.1–135.1
2041	301.4282.2–314.1	121.3105.3–134.6
2042	300.6277.8–314.7	122.7107.7–137.1
2043	298.2279.8–312.7	122.4108.1–137.5
2044	300.3281.2–315.6	121.9108–135.6
2045	299.9279.7–313.1	123.1108.8–139.2
2046	302.8285.8–316.6	123.8109.9–139.4
2047	303.3285–316.4	125.6111.9–139.4
2048	304.4287.3–317.3	126.3113–140.3
2049	305.4288.4–318.5	127111.2–140.8
2050	303.9283.9–316.2	128.1112.6–142.5
2051	305.7287.5–317.5	127.2113.4–140.8
2052	305.9290.6–318.8	126.2112.5–141.1
2053	305.3285.9–317.5	128.4111.5–142.7
2054	306.1288.4–319.3	128.1113.1–142.3
2055	306.4290.8–319.8	129114.4–144.7
2056	306.7288.3–321.1	129.5114.3–143.8
2057	306.4287.6–321.1	130.3113.5–145.9
2058	309291–321.4	128.8114.1–144.5
2059	310.4290.7–322.8	129.5114.5–144.5
2060	311.6294.4–325.1	131.4115.5–146.5
2061	307.5290.3–321.2	131.3118.4–146.8
2062	309291.5–322.8	130.8115.1–146.3
2063	310.8290.6–322.8	131.2115.6–147.9
2064	309.6290.2–321.1	132.2116.5–147.8
2065	311.1291.6–323.1	133.1115.8–148.6
2066	312.2294.2–324.2	133.3117.2–149.4
2067	310.9291.5–323.3	133.3117–150.3
2068	311.5293–324.5	134.6117.4–150.5
2069	310.6292.2–323.6	134.4117.8–150.9
2070	312.7293–325.3	134.2116.7–151.8
2071	311.5292.1–323.9	136.3120.8–152.7
2072	313.3297.8–325.5	137.2119.9–153.1
2073	313.8298.6–327.2	136.1119.1–153.6
2074	311.4292.4–323.5	136119.7–152.2
2075	310.9291.5–324.5	135.2118.5–151.8
2076	314.2294.4–327.7	136.3117.4–154.7
2077	315.1295.6–326.8	136.8119.6–152.8
2078	314.9296.3–327.1	137.1118.3–154.2
2079	313292.8–326.8	138.1121.3–157.1
2080	311.9294.7–325.4	137.6120.5–157.9
2081	313.5295.5–325.6	137.8120.7–154.7
2082	315296.8–327.1	138.7121.6–155.2
2083	315.7295.3–328.7	139.2119.3–158.8
2084	316.6298.5–327.9	140.3123.4–157.5
2085	317.4299.3–329.8	139.2120.9–157.2
2086	315.8294–328	139.8121–157.8
2087	316.5297.9–328.5	139.5121.5–157.4
2088	315.6297.3–328.8	141121.8–159.9
2089	315296.6–327.9	140.4121.7–158.9
2090	316298.9–330.3	141.2123–160.7
2091	317298.1–330.6	141.8123–161.6
2092	317.6298.7–330.7	141.3122.5–159.3
2093	316.3297.5–328.6	141.4124.3–161
2094	316.4300.2–327.5	142123.3–159.6
2095	319299.8–330.7	143.5124–160.7
2096	317.7299.5–330.8	142.3125–161.3
2097	316.9297.8–329	141.2123.2–160
2098	318.6299.9–331.9	142.2122.5–162
2099	318.1300–330.2	141.8122.4–160.7
2100	317.3298.4–330.3	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

Brazil vs Mexico: Tropical nights

What the numbers say

Every year

Each country on its own

Good to know

Brazil vs Mexico

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment