Germany vs Mexico: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 102.9 nights, or 130 times that in Germany.

Watch it change on the map

nights a year · CMIP6

GermanyMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Mexico has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Germany at 8.8 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

Year	Germany	Mexico
2014	0.8	103.7
2013	0.7	103.9
2012	0.9	102.8
2011	0.5	102.9
2010	0.9	101.5
2009	0.5	101.8
2008	0.2	100.1
2007	0.3	99.1
2006	0.3	99.8
2005	0.6	99.5
2004	0.7	99.4
2003	0.6	98.3
2002	0.2	99.1
2001	0.5	98.7
2000	0.2	97.9
1999	0.2	96.6
1998	0.1	95.8
1997	0.1	95.9
1996	0.2	93.8
1995	0.1	92.7
1994	0	90.7
1993	0	89
1992	0	88.5
1991	0.1	93.4
1990	0.1	94.9
1989	0.1	93
1988	0	92.1
1987	0	92
1986	0	90.2
1985	0.1	90
1984	0.1	88
1983	0	86.7
1982	0	88.7
1981	0	91.5
1980	0	90.1
1979	0	90.8
1978	0.1	89
1977	0	89
1976	0	89.1
1975	0	86.8
1974	0.1	87.9
1973	0	88.6
1972	0	87.7
1971	0	86.8
1970	0.1	86.1
1969	0	87.5
1968	0	87.1
1967	0	86.7
1966	0	86.4
1965	0	84.9
1964	0	84.7
1963	0	87.1
1962	0	88
1961	0	89.5
1960	0	89.7
1959	0.1	89.6
1958	0	89.1
1957	0	89
1956	0	88.5
1955	0	88.2
1954	0.1	88.4
1953	0	88.6
1952	0	87.8
1951	0	89.4
1950	0	88.1

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

Year	Germany	Mexico
2015	0.50–4	106.192.9–118.4
2016	0.80–4.3	107.695–120
2017	0.70–5.1	108.696.3–119.7
2018	0.70–3.5	10997.1–120.4
2019	1.20–5	110.396.4–123
2020	1.20–5.7	109.696.8–121.8
2021	10–6	111.296.9–124.1
2022	1.40–5.7	109.796–121.7
2023	1.10–5.7	111.898.6–125.3
2024	1.20–5.2	112.298.2–126.2
2025	1.90–8.2	11298.8–125.8
2026	1.90.1–6.5	113.999.5–126.4
2027	1.40–4.7	112.999.5–128.3
2028	1.50.1–5.5	115.2101.9–127.9
2029	20.1–6.4	115.6101.9–127.9
2030	1.60–6.1	115.9101.7–128.4
2031	1.40–5.4	116.1100.9–129.9
2032	1.50.1–7.6	116.1102.5–129.1
2033	1.70–6.8	117.5102.5–131.1
2034	2.10.2–8.3	117.2104.1–130.3
2035	1.70.1–6.9	116.4103.1–130.3
2036	2.80.1–7.8	117.8105.1–131
2037	2.50–9.2	118.6104.3–131.7
2038	2.20.1–9.7	121107.5–133.4
2039	30–8.9	121.3107–135.6
2040	2.30.1–7.1	121.9108.1–135.1
2041	2.40.1–7.9	121.3105.3–134.6
2042	2.90.4–8.9	122.7107.7–137.1
2043	3.10.1–8.7	122.4108.1–137.5
2044	3.10.2–10.1	121.9108–135.6
2045	30.1–8.7	123.1108.8–139.2
2046	3.10.5–10.9	123.8109.9–139.4
2047	4.30.3–10.6	125.6111.9–139.4
2048	3.70.2–12.9	126.3113–140.3
2049	4.40.2–11.8	127111.2–140.8
2050	3.10.6–9.3	128.1112.6–142.5
2051	2.70.1–9.5	127.2113.4–140.8
2052	3.60.2–11.5	126.2112.5–141.1
2053	2.30.4–8.7	128.4111.5–142.7
2054	3.50.4–10.3	128.1113.1–142.3
2055	3.30.4–11.3	129114.4–144.7
2056	4.50.7–14.3	129.5114.3–143.8
2057	40.4–11.3	130.3113.5–145.9
2058	5.80.7–15.5	128.8114.1–144.5
2059	5.10.1–15.6	129.5114.5–144.5
2060	4.40.6–12.3	131.4115.5–146.5
2061	5.31–12.3	131.3118.4–146.8
2062	5.51.6–14.2	130.8115.1–146.3
2063	5.20.8–13.8	131.2115.6–147.9
2064	4.10.5–12.2	132.2116.5–147.8
2065	4.90.3–15.8	133.1115.8–148.6
2066	5.30.7–11.8	133.3117.2–149.4
2067	7.21.4–17.5	133.3117–150.3
2068	3.90.9–11.3	134.6117.4–150.5
2069	6.11.6–15	134.4117.8–150.9
2070	5.80.6–14.9	134.2116.7–151.8
2071	6.30.6–16.4	136.3120.8–152.7
2072	6.21.9–13	137.2119.9–153.1
2073	5.51.3–16.2	136.1119.1–153.6
2074	5.50.5–16.7	136119.7–152.2
2075	6.21.4–18.3	135.2118.5–151.8
2076	7.41.1–20.1	136.3117.4–154.7
2077	6.31.1–17.4	136.8119.6–152.8
2078	6.50.7–21.4	137.1118.3–154.2
2079	6.70.6–22.7	138.1121.3–157.1
2080	6.51.2–14.9	137.6120.5–157.9
2081	6.60.9–18.5	137.8120.7–154.7
2082	7.91.4–22.5	138.7121.6–155.2
2083	7.61.3–16.8	139.2119.3–158.8
2084	5.91.1–15.9	140.3123.4–157.5
2085	6.50.9–17.6	139.2120.9–157.2
2086	7.90.8–23	139.8121–157.8
2087	9.91.1–24.1	139.5121.5–157.4
2088	8.92–18.4	141121.8–159.9
2089	8.31.9–19.2	140.4121.7–158.9
2090	6.20.8–24.1	141.2123–160.7
2091	9.31.3–23.5	141.8123–161.6
2092	8.61.7–19.2	141.3122.5–159.3
2093	6.20.8–18.2	141.4124.3–161
2094	9.32.4–20.4	142123.3–159.6
2095	9.51.1–24	143.5124–160.7
2096	8.10.2–21.4	142.3125–161.3
2097	6.40.5–20.1	141.2123.2–160
2098	9.31.4–22.1	142.2122.5–162
2099	8.11.4–20.8	141.8122.4–160.7
2100	8.81.9–21.1	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

Germany vs Mexico: Tropical nights

What the numbers say

Every year

Each country on its own

Good to know

Germany vs Mexico

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment