Sweden vs Uzbekistan: Tropical nights

Tropical nights in 2014: 0.1 nights in Sweden and 65.5 nights in Uzbekistan, in the CMIP6 climate models’ median run. In 2014 the value was higher in Uzbekistan, by 65.5 nights, or 1,300 times that in Sweden.

Watch it change on the map

nights a year · CMIP6

SwedenUzbekistanCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Uzbekistan has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Sweden at 0.7 nights and Uzbekistan at 96.1 nights in 2100.

Every year

nights a year · CMIP6

Year	Sweden	Uzbekistan
2014	0.1	65.5
2013	0.1	64.1
2012	0	63.6
2011	0	61.8
2010	0	57.7
2009	0	62.5
2008	0	60.5
2007	0	61
2006	0	61.6
2005	0	59.4
2004	0	58.8
2003	0	59.7
2002	0	61.7
2001	0	59
2000	0	56
1999	0	57
1998	0	57.3
1997	0	57.5
1996	0	54.5
1995	0	53.4
1994	0	51.8
1993	0	47.2
1992	0	48.2
1991	0	53.4
1990	0	54.8
1989	0	51.8
1988	0	51.9
1987	0	52.5
1986	0	47.4
1985	0	52.9
1984	0	46.9
1983	0	42.3
1982	0	50.7
1981	0	49.6
1980	0	47.9
1979	0	50.7
1978	0	47.1
1977	0	48.5
1976	0	46.1
1975	0	46.9
1974	0	44.9
1973	0	46.3
1972	0	47.4
1971	0	45.5
1970	0	44.4
1969	0	47.8
1968	0	44.6
1967	0	45.6
1966	0	46.1
1965	0	45.1
1964	0	46.1
1963	0	47
1962	0	46.3
1961	0	46.6
1960	0	45.7
1959	0	47.5
1958	0	53.1
1957	0	49.6
1956	0	49.4
1955	0	47.1
1954	0	49.9
1953	0	45.7
1952	0	49.2
1951	0	47.9
1950	0	49.5

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

Year	Sweden	Uzbekistan
2015	0.10–0.3	67.454.2–79.9
2016	00–0.3	64.554.4–79.8
2017	00–0.4	66.955.3–76.4
2018	00–0.3	66.951.9–80.2
2019	0.10–0.5	67.555.8–80.4
2020	00–0.3	67.655.3–78.9
2021	00–0.3	68.256.7–78.7
2022	0.10–0.5	68.756.5–80
2023	0.10–0.6	71.759.3–80.7
2024	00–0.4	71.558–81.9
2025	0.10–1	72.460.1–83.8
2026	0.10–1	70.758.5–82.4
2027	0.10–0.3	71.359.5–84.8
2028	0.10–0.6	72.262.3–84.2
2029	0.10–0.8	71.556.9–83.7
2030	0.10–0.5	73.860.3–84
2031	0.10–0.4	75.965.3–86.4
2032	0.10–0.8	75.462.8–87.7
2033	0.10–0.8	74.862.7–88.5
2034	0.10–0.7	73.259–88
2035	0.20–0.8	7763.9–87.6
2036	0.10–0.8	76.262.2–87.7
2037	0.10–1	76.864.1–86.5
2038	0.10–1.2	7866–90.1
2039	0.10–0.8	74.262.3–86.5
2040	0.10–0.8	79.361.6–90.5
2041	0.10–1.2	79.166–90.9
2042	0.20–1.2	77.964–91.1
2043	0.20–1.1	76.964.7–89.3
2044	0.10–1.1	80.265.2–94.1
2045	0.10–0.6	79.362.9–91.3
2046	0.20–1.3	80.666.1–93.9
2047	0.30–2.1	80.865.2–96
2048	0.30–1.8	80.467.3–92.2
2049	0.20–1.6	82.670–93.2
2050	0.20–1.8	84.170.8–95.2
2051	0.20–1.7	8268.1–94.5
2052	0.20–2	82.470.7–94.5
2053	0.10–1.3	83.968.5–95
2054	0.20–1.1	84.870.5–97
2055	0.20–1.6	84.470.7–96.2
2056	0.20–1.5	85.871–97.8
2057	0.20–1.4	86.872.3–98.9
2058	0.30–2.3	8468.7–98.2
2059	0.30–1.7	84.972.8–97.6
2060	0.20–1.4	87.972.4–100.4
2061	0.40–1.6	84.370.1–97.3
2062	0.30.1–1.7	86.771.2–102.1
2063	0.20–2.1	88.171–101.2
2064	0.20–1.6	84.568.1–99.8
2065	0.30–3	90.275.4–104.8
2066	0.20–2.8	88.274.3–100.2
2067	0.30–2	87.371.8–103.7
2068	0.20–1.5	88.576.1–100.4
2069	0.60.1–3.1	90.175.9–103.3
2070	0.30–2	87.875.3–100.9
2071	0.30–2.7	87.875.7–102.6
2072	0.20–2	88.773.5–104.3
2073	0.40–4.6	89.475.7–105.8
2074	0.20–2.8	9278–104.3
2075	0.30–2.9	89.876.9–103.7
2076	0.40–2.4	89.972.7–104.9
2077	0.40–2.2	91.475.5–106.7
2078	0.50–3.1	91.576.3–105.3
2079	0.40–3.1	89.175.8–103.5
2080	0.30–2.1	91.874.6–108.3
2081	0.30–3	90.675.2–104.8
2082	0.40–4.4	93.476.3–106.1
2083	0.50.1–3	91.979.5–107.5
2084	0.30–2.4	9172.3–107.5
2085	0.40–3.3	89.975.1–109.6
2086	0.70–4	90.773.7–105.6
2087	0.60–6	93.379–107.1
2088	0.50–2.7	93.176–107.9
2089	0.50.1–3.4	92.377.9–107.4
2090	0.40–2.9	93.576.6–112.1
2091	0.60–3.9	9778.4–111.4
2092	0.80–4.2	95.478.2–107.9
2093	0.70.1–4.8	94.877.2–107.9
2094	0.50–2.6	94.980.1–111.9
2095	0.50.1–4.3	94.777.9–111.7
2096	0.50–3.7	97.383.8–110.9
2097	0.50–4.5	95.880.5–110
2098	0.50.1–3.7	97.580.4–112.5
2099	0.30–3.2	97.181.4–113.6
2100	0.70–4.4	96.180.1–113.6

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

Sweden vs Uzbekistan: Tropical nights

What the numbers say

Every year

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