Germany vs Pakistan: Tropical nights

Tropical nights in 2014: 0.8 nights in Germany and 149.9 nights in Pakistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Pakistan, by 149.1 nights, or 180 times that in Germany.

Watch it change on the map

nights a year · CMIP6

GermanyPakistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Pakistan 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 Pakistan at 177.6 nights in 2100.

Every year

nights a year · CMIP6

Year	Germany	Pakistan
2014	0.8	149.9
2013	0.7	149.1
2012	0.9	149.9
2011	0.5	149
2010	0.9	148.4
2009	0.5	147.1
2008	0.2	147.4
2007	0.3	147.3
2006	0.3	146.7
2005	0.6	146.5
2004	0.7	147.5
2003	0.6	146
2002	0.2	148.3
2001	0.5	145.4
2000	0.2	144.7
1999	0.2	146.9
1998	0.1	144.8
1997	0.1	143.2
1996	0.2	141.2
1995	0.1	141.8
1994	0	142.1
1993	0	140.4
1992	0	139.9
1991	0.1	142.5
1990	0.1	142.6
1989	0.1	142.5
1988	0	140.3
1987	0	140
1986	0	140
1985	0.1	140
1984	0.1	138.9
1983	0	136.3
1982	0	138.5
1981	0	141.5
1980	0	139.5
1979	0	139.1
1978	0.1	139
1977	0	138.6
1976	0	139.2
1975	0	136.5
1974	0.1	138.7
1973	0	137.8
1972	0	137.4
1971	0	136
1970	0.1	137.7
1969	0	135.9
1968	0	136.6
1967	0	135.2
1966	0	136.9
1965	0	138.3
1964	0	135.1
1963	0	135.7
1962	0	137
1961	0	138.6
1960	0	139
1959	0.1	138.6
1958	0	137.7
1957	0	140
1956	0	137.8
1955	0	137.5
1954	0.1	137.8
1953	0	136.9
1952	0	138.1
1951	0	136.7
1950	0	139.1

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

Year	Germany	Pakistan
2015	0.50–4	152.4138.7–163.3
2016	0.80–4.3	150.6139.4–161.7
2017	0.70–5.1	151.3138.8–162
2018	0.70–3.5	152.6139.8–161.8
2019	1.20–5	151.8138.1–163.3
2020	1.20–5.7	153.1140.3–164.5
2021	10–6	154.1140.6–165.7
2022	1.40–5.7	153.1140.2–165.7
2023	1.10–5.7	155.5141.6–165.9
2024	1.20–5.2	156.8143.3–168.7
2025	1.90–8.2	155.7141.5–168.6
2026	1.90.1–6.5	155.3142.2–167.9
2027	1.40–4.7	156.8140.9–168.9
2028	1.50.1–5.5	156.5143.9–167.6
2029	20.1–6.4	155.9141.5–167.7
2030	1.60–6.1	156.3143.3–167.6
2031	1.40–5.4	157.3144.4–168.1
2032	1.50.1–7.6	157.4142.5–169.6
2033	1.70–6.8	157.7143.6–169.4
2034	2.10.2–8.3	159.5145.6–173.4
2035	1.70.1–6.9	159.3146.7–170.3
2036	2.80.1–7.8	159.1147.5–171.4
2037	2.50–9.2	162.2147.5–175.3
2038	2.20.1–9.7	161.4148.6–171.7
2039	30–8.9	160148.2–170.4
2040	2.30.1–7.1	160.9147.9–171.3
2041	2.40.1–7.9	160.8146.7–171.7
2042	2.90.4–8.9	162.3149.9–175.6
2043	3.10.1–8.7	161.1150.3–173.8
2044	3.10.2–10.1	163150.9–173.9
2045	30.1–8.7	163149.5–174.8
2046	3.10.5–10.9	163.5149.8–177.2
2047	4.30.3–10.6	165.2151.8–178.5
2048	3.70.2–12.9	166.4154.1–179.4
2049	4.40.2–11.8	165150.8–178.2
2050	3.10.6–9.3	166.9153.5–179.3
2051	2.70.1–9.5	165.6150.8–180
2052	3.60.2–11.5	166.7155.4–179.5
2053	2.30.4–8.7	166.3154.2–178.8
2054	3.50.4–10.3	167.5153.9–181
2055	3.30.4–11.3	167.8155.8–182.5
2056	4.50.7–14.3	166.3153.6–179.7
2057	40.4–11.3	168.3153.9–182.3
2058	5.80.7–15.5	167.5157–179.9
2059	5.10.1–15.6	170.9155.9–183.8
2060	4.40.6–12.3	170.3156.5–181.8
2061	5.31–12.3	168.8156.8–179.6
2062	5.51.6–14.2	171.6153.5–186.5
2063	5.20.8–13.8	171.3159.5–183.8
2064	4.10.5–12.2	170.2155.3–184.5
2065	4.90.3–15.8	169.7156.4–185
2066	5.30.7–11.8	172.2157–186.7
2067	7.21.4–17.5	173.2160.2–186.3
2068	3.90.9–11.3	172.6157.7–186.3
2069	6.11.6–15	171.8157.3–185.6
2070	5.80.6–14.9	171.7158.9–186.7
2071	6.30.6–16.4	173.4158.7–186.8
2072	6.21.9–13	174161.5–186.9
2073	5.51.3–16.2	175.6157.2–187.9
2074	5.50.5–16.7	173.5160–186.3
2075	6.21.4–18.3	173161.5–187.8
2076	7.41.1–20.1	172.9158.8–186.7
2077	6.31.1–17.4	175161.3–187.8
2078	6.50.7–21.4	174.4160.9–189.3
2079	6.70.6–22.7	172.5158.3–187.7
2080	6.51.2–14.9	175.1160.7–189.2
2081	6.60.9–18.5	174.9159.2–190.2
2082	7.91.4–22.5	175.4161.8–190.6
2083	7.61.3–16.8	176.5161.8–190.8
2084	5.91.1–15.9	176.1160.9–190.5
2085	6.50.9–17.6	176.3161.9–193.6
2086	7.90.8–23	173.9160–189.1
2087	9.91.1–24.1	176161–193.1
2088	8.92–18.4	175.4160.5–195.2
2089	8.31.9–19.2	177.2164.2–191.7
2090	6.20.8–24.1	177.7163.9–192.2
2091	9.31.3–23.5	177.8162.8–192.2
2092	8.61.7–19.2	178.7162.9–192.9
2093	6.20.8–18.2	177164–191
2094	9.32.4–20.4	176.8164.1–190.7
2095	9.51.1–24	178.6163.8–193.1
2096	8.10.2–21.4	177.8163.7–192.5
2097	6.40.5–20.1	177.3160.4–192.5
2098	9.31.4–22.1	178.7162.6–195.7
2099	8.11.4–20.8	176159.9–193.2
2100	8.81.9–21.1	177.6162.2–193

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 Pakistan: Tropical nights

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