North Korea vs Thailand: Tropical nights

Tropical nights in 2014: 29.3 nights in North Korea and 286.4 nights in Thailand, in the CMIP6 climate models’ median run. In 2014 the value was higher in Thailand, by 257.1 nights, or 9.79 times that in North Korea.

Watch it change on the map

nights a year · CMIP6

North KoreaThailandCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Thailand has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts North Korea at 54.8 nights and Thailand at 320.8 nights in 2100.

Every year

nights a year · CMIP6

Year	North Korea	Thailand
2014	29.3	286.4
2013	29	289.1
2012	28	286.6
2011	26.3	286.4
2010	27.3	286
2009	26.8	286.9
2008	25.2	284.8
2007	26.1	283.2
2006	26.7	284.3
2005	26.6	281.7
2004	26.6	287.5
2003	25.2	279.3
2002	25.4	280
2001	25	285.5
2000	24.3	283.4
1999	25.2	282.5
1998	23.3	282.7
1997	22.9	284.8
1996	22.5	279.8
1995	19.6	278.7
1994	20.6	280.8
1993	16.4	275.6
1992	16.5	268.8
1991	21.3	276.7
1990	21.9	279.2
1989	21.3	278.4
1988	20.8	279.6
1987	18.2	277.9
1986	18.6	277.5
1985	19	276
1984	17.2	277.9
1983	15.6	273.9
1982	18.9	275.7
1981	19.3	277.8
1980	18.1	277.9
1979	17.8	278
1978	20.3	276
1977	17.8	277.3
1976	19.2	275.6
1975	18.7	274.4
1974	18.6	276
1973	16.2	280.6
1972	18	273.9
1971	17.1	273.2
1970	17.5	276
1969	19.5	274.8
1968	17.2	277
1967	21.2	270.3
1966	18.3	274.4
1965	18.3	275.8
1964	17.8	271.9
1963	21.2	274.7
1962	19.2	275.4
1961	20.5	278.5
1960	19	276.2
1959	19.7	274.4
1958	20.5	278.7
1957	19.5	277.4
1956	21.9	277
1955	19.3	274.6
1954	19.5	275
1953	19.8	275.4
1952	20.6	275.1
1951	18.5	277.5
1950	21.7	276.2

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

Year	North Korea	Thailand
2015	3020.9–39.9	290.6272.2–305
2016	28.319.1–38.6	287.1269.8–306.2
2017	31.722.5–41.4	290273.8–302.8
2018	29.419.8–40.4	292.6275.1–308.7
2019	32.524.9–43.3	291.2272.8–306.7
2020	30.622.9–40.9	292.4272.2–307.8
2021	30.219–44	294.2276.3–308.5
2022	33.225.3–40	294.8277.2–311.9
2023	35.424.8–44.5	296.1281.9–310.2
2024	33.123.4–44.2	291.7275.5–307.8
2025	35.526–46.5	294276.7–306.3
2026	34.125.7–46.4	296278–309.3
2027	34.526–47.8	295.8276.3–311.1
2028	34.924–44.4	297279.3–315.1
2029	34.726.7–45.2	300.3278.7–315
2030	35.225.2–45.6	297.7280.2–312.5
2031	33.926.2–47.1	300.8282.8–317.1
2032	36.125.7–49.1	297.2280.9–311.4
2033	37.225.8–49.9	300281.9–315.8
2034	36.328.6–44.6	300.8279–318.4
2035	39.127.3–49.2	298.6281.5–317.8
2036	40.426.7–52.8	300.4279.9–316.9
2037	37.126.8–48.8	299.8280–315.1
2038	37.826.9–50.2	304.8286.6–319.3
2039	37.328–48.6	300.9281.9–317
2040	40.328–54.9	301.6284.5–315.7
2041	40.128.8–54.2	303.1285.1–318.8
2042	4030.8–51.4	303.8290–318.3
2043	40.929.4–53.8	302285.8–317.9
2044	42.429.2–53.6	304.3286.3–318.8
2045	41.130.7–52	307.1287.7–324.2
2046	43.627.7–52.7	305.9285.2–321
2047	42.230.2–55.6	306.6289.5–321.5
2048	4029–56	309.4288.9–325.7
2049	41.629.8–55	308.1287.2–324.1
2050	40.831.5–53.9	307.5291–321.5
2051	42.531–57.3	312.8294.8–326
2052	42.129.7–55.5	310.9291.2–323.4
2053	44.231.3–57.8	308.3289.5–323.3
2054	42.332.5–55.4	308.8292.8–322.3
2055	45.433–60.9	308.6290.6–325.1
2056	43.933.5–56.4	311.3294.9–326.3
2057	44.934.5–59	308.5286.7–326.4
2058	45.334.8–59.4	308291.1–325.1
2059	45.430.9–58.8	312.7295.8–325.3
2060	45.130.4–61.9	313.1294.6–328.6
2061	47.135.9–61.5	314.4289.5–331.1
2062	44.934.3–60.2	311.4293.4–330.3
2063	44.433.8–60.5	314.8296.9–327.3
2064	44.332.7–60.5	312.5295.4–330
2065	47.835.3–62.1	309.6293.1–329.3
2066	47.434–59.6	312.1292.6–328
2067	49.333.1–61.2	311.2289.6–329.4
2068	47.234.1–63.4	310.8292.4–330.6
2069	47.432.6–58.7	315.5296.1–329.5
2070	4933.9–66.5	314.2292.9–330.7
2071	48.634.2–65.8	313.8296.4–330.8
2072	48.834.5–64.9	314.8296–329.6
2073	49.633.9–62.9	316.5299.9–332.1
2074	49.635–65.3	317.2295–333.8
2075	49.734.6–64	317.2295.3–331.4
2076	5034.9–65.1	317.4299.8–335
2077	52.437.4–64.6	317.5297.3–335.9
2078	48.435.4–66.5	315.9297.1–331.6
2079	49.737–64.5	318.5300.5–332.3
2080	50.139.7–68.2	319.8297.4–337.5
2081	49.938.1–69.4	317.7299.5–334.9
2082	52.738.5–70.3	317.9294.8–333
2083	51.638.9–68.2	315297.8–332.9
2084	49.836.9–66.8	316295.5–330
2085	50.638.2–69	322.6300.8–334.7
2086	52.737.2–68	319.4295.2–335.2
2087	51.937.3–71.1	320.2302.2–334.7
2088	52.636.7–67.4	321.4299.8–334.8
2089	52.839–67.7	318.9296.4–338.1
2090	53.738.3–65.3	317.6304–337.4
2091	53.740–67.5	320.1299.8–336.1
2092	53.438.6–67.8	316.3298–336.4
2093	53.537.2–69.1	316.1297.7–333.7
2094	52.936.2–73	323.4301.8–337.3
2095	52.741.1–68.9	322.9302.4–338.9
2096	58.337.8–73	319.6302.8–336.7
2097	55.239–69	319.8299.1–336
2098	5440.5–67.9	320.5303.9–336
2099	52.537.3–67.2	319.9303.1–334.4
2100	54.837.2–70.2	320.8301.1–336.7

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

North Korea vs Thailand: Tropical nights

What the numbers say

Every year

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