Kazakhstan vs Sweden: Tropical nights

Tropical nights in 2014: 22.4 nights in Kazakhstan and 0.1 nights in Sweden, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kazakhstan, by 22.3 nights, or 450 times that in Sweden.

Watch it change on the map

nights a year · CMIP6

KazakhstanSwedenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Kazakhstan has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Kazakhstan at 47.9 nights and Sweden at 0.7 nights in 2100.

Every year

nights a year · CMIP6

Year	Kazakhstan	Sweden
2014	22.4	0.1
2013	21.3	0.1
2012	21.7	0
2011	19.6	0
2010	18.7	0
2009	20	0
2008	20.2	0
2007	19.9	0
2006	19.2	0
2005	19.4	0
2004	18	0
2003	18.9	0
2002	19.5	0
2001	18.1	0
2000	17.2	0
1999	17.4	0
1998	16.9	0
1997	18.3	0
1996	15.7	0
1995	15	0
1994	14.7	0
1993	12.3	0
1992	12.3	0
1991	15	0
1990	16	0
1989	14.1	0
1988	14	0
1987	15	0
1986	12.9	0
1985	14.6	0
1984	12.1	0
1983	9.9	0
1982	14.1	0
1981	14.1	0
1980	12.7	0
1979	13.5	0
1978	12	0
1977	13.3	0
1976	12.5	0
1975	12.1	0
1974	11.9	0
1973	11.7	0
1972	12.3	0
1971	12.1	0
1970	11.7	0
1969	11.9	0
1968	12.2	0
1967	11.7	0
1966	11.9	0
1965	11.3	0
1964	10.9	0
1963	12.2	0
1962	12.4	0
1961	12.1	0
1960	12.2	0
1959	12.5	0
1958	13.9	0
1957	14	0
1956	12.9	0
1955	12.5	0
1954	13.1	0
1953	12.4	0
1952	13.5	0
1951	12.7	0
1950	13.7	0

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

Year	Kazakhstan	Sweden
2015	25.415.1–35.8	0.10–0.3
2016	22.815–34.3	00–0.3
2017	23.214.5–32	00–0.4
2018	24.314.7–35.8	00–0.3
2019	24.115.9–33.9	0.10–0.5
2020	23.115.4–32.5	00–0.3
2021	23.315–32.4	00–0.3
2022	25.216.7–34.9	0.10–0.5
2023	25.516.4–35.3	0.10–0.6
2024	25.515.5–35.1	00–0.4
2025	26.218.1–35.9	0.10–1
2026	25.617.5–35.3	0.10–1
2027	2718.5–38	0.10–0.3
2028	27.818.2–38.7	0.10–0.6
2029	25.516.8–38.6	0.10–0.8
2030	27.616.5–38.2	0.10–0.5
2031	30.420.5–40.9	0.10–0.4
2032	30.320.4–40.3	0.10–0.8
2033	29.120.2–40.7	0.10–0.8
2034	2817.6–39.7	0.10–0.7
2035	30.719.3–42.8	0.20–0.8
2036	30.520.6–41.5	0.10–0.8
2037	29.120.2–39.5	0.10–1
2038	31.420.5–42.6	0.10–1.2
2039	3020.9–42.7	0.10–0.8
2040	32.719.8–42.5	0.10–0.8
2041	32.421.8–46.2	0.10–1.2
2042	32.220.2–45.8	0.20–1.2
2043	31.922.5–42.3	0.20–1.1
2044	33.620.2–45	0.10–1.1
2045	32.221.7–44.6	0.10–0.6
2046	34.423.3–48.5	0.20–1.3
2047	34.621.7–48.7	0.30–2.1
2048	3520.9–46	0.30–1.8
2049	35.624.5–47.8	0.20–1.6
2050	37.324.5–48.4	0.20–1.8
2051	35.523.6–49.7	0.20–1.7
2052	35.522.7–47.2	0.20–2
2053	36.123–48.3	0.10–1.3
2054	34.822.6–49.1	0.20–1.1
2055	3625.6–48.9	0.20–1.6
2056	37.725.6–50.3	0.20–1.5
2057	39.226.6–51.3	0.20–1.4
2058	35.323.7–51.2	0.30–2.3
2059	38.426.6–54.2	0.30–1.7
2060	39.626.9–52.2	0.20–1.4
2061	37.926.2–51.3	0.40–1.6
2062	37.924.7–54.3	0.30.1–1.7
2063	39.825.5–54.5	0.20–2.1
2064	37.222.3–54.8	0.20–1.6
2065	41.928.2–55.4	0.30–3
2066	38.826.8–53	0.20–2.8
2067	38.325.1–54.2	0.30–2
2068	42.427.4–55.9	0.20–1.5
2069	4128.5–57	0.60.1–3.1
2070	40.328.2–55.9	0.30–2
2071	42.128.7–57.3	0.30–2.7
2072	41.429.5–55.6	0.20–2
2073	40.926.9–59.4	0.40–4.6
2074	43.929–60.2	0.20–2.8
2075	42.929.1–58.3	0.30–2.9
2076	41.328–54.9	0.40–2.4
2077	42.429.5–58.4	0.40–2.2
2078	43.930.9–56.8	0.50–3.1
2079	43.528.7–57.6	0.40–3.1
2080	41.827.4–57.2	0.30–2.1
2081	42.629.1–56.8	0.30–3
2082	44.427.6–57.3	0.40–4.4
2083	44.531.7–60.4	0.50.1–3
2084	41.826.8–58.4	0.30–2.4
2085	43.828.7–61.5	0.40–3.3
2086	43.228.3–56.5	0.70–4
2087	43.529.7–59.3	0.60–6
2088	43.629.7–61.9	0.50–2.7
2089	44.132–59.5	0.50.1–3.4
2090	45.431.4–62	0.40–2.9
2091	45.630.5–64	0.60–3.9
2092	47.228.9–62.8	0.80–4.2
2093	45.929.9–62.9	0.70.1–4.8
2094	45.931.4–64.4	0.50–2.6
2095	46.431.4–63.6	0.50.1–4.3
2096	47.934.2–66.4	0.50–3.7
2097	48.633.7–65	0.50–4.5
2098	4832.2–65.5	0.50.1–3.7
2099	47.130.3–64.2	0.30–3.2
2100	47.933–65.8	0.70–4.4

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

Kazakhstan vs Sweden: Tropical nights

What the numbers say

Every year

Each country on its own

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