Cambodia vs South Korea: Tropical nights

Tropical nights in 2014: 337.4 nights in Cambodia and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cambodia, by 268.5 nights, or 4.89 times that in South Korea.

Watch it change on the map

nights a year · CMIP6

CambodiaSouth KoreaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Cambodia has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Cambodia at 357.6 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

Year	Cambodia	South Korea
2014	337.4	68.9
2013	342.5	69.7
2012	340.1	67.7
2011	338.3	65.3
2010	338.2	68.3
2009	339.2	65.8
2008	334.9	63.7
2007	336.1	64.2
2006	336	64.8
2005	334	65.1
2004	338.1	66.8
2003	332.9	63.2
2002	333.3	63.3
2001	337.1	63.4
2000	335.9	61.7
1999	335.1	64.2
1998	334.8	60.7
1997	336.8	60.4
1996	330.5	61.2
1995	328.7	55.2
1994	334.3	54.8
1993	329.9	49.2
1992	321.5	50.7
1991	328.1	56.9
1990	333.3	58.8
1989	330.3	58.7
1988	332	55.6
1987	329.7	52.6
1986	330.9	51.4
1985	330.8	53.1
1984	331.2	50.4
1983	328.7	46.8
1982	329.3	54
1981	331.2	53.9
1980	329.9	51.6
1979	330.4	52.6
1978	327.5	56.4
1977	331.6	51.8
1976	329.2	52.8
1975	328.1	54.6
1974	326.8	52.7
1973	331.2	50.4
1972	327.1	51.8
1971	327.4	49.7
1970	327.9	50.4
1969	327.4	55.2
1968	327.6	51.7
1967	323.9	57.3
1966	326.4	52.9
1965	329.8	52.8
1964	327.1	52.2
1963	328.6	57.9
1962	326.2	53.3
1961	332.3	58.2
1960	329	55.2
1959	328.5	54.8
1958	332.7	56
1957	331.1	55.8
1956	330	59.1
1955	326.8	55.7
1954	329	54
1953	329.6	55.4
1952	329.2	57
1951	330.9	54.7
1950	328.6	59.8

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

Year	Cambodia	South Korea
2015	340323.1–351.2	68.656.8–82
2016	339.6325.3–352.5	70.353.5–81.8
2017	341.9327.4–350.7	70.559.5–82.9
2018	343.5320.1–353.1	69.156.9–81.2
2019	340.8327.2–352.1	74.663.1–84.4
2020	343325.7–352.6	7157.6–83
2021	345.2328.4–353	70.252.7–84.1
2022	344.4332.5–353.4	72.563–81.2
2023	344.7333.7–355.1	74.563.2–84.2
2024	342.1327.5–352.9	73.558.6–87.1
2025	343.4332.6–351	75.762.3–87.1
2026	343.9324.7–353.4	7564–88.4
2027	345.3330.6–354.2	74.163.4–88.9
2028	346.5331–356.9	77.361.5–87.9
2029	346.5330.1–357.3	75.463.1–86.7
2030	346.7332.4–355.4	75.364.5–87.6
2031	347.7332.3–356.7	76.763.6–87.3
2032	347.5332.3–354.7	76.761–89.2
2033	346.5331.7–358.1	78.860–92.7
2034	348.1335.3–357	77.264.7–87.2
2035	347.7330.1–357.7	8168.9–92.1
2036	348.2329.7–355.8	81.964.1–95
2037	347.4334.6–355.4	78.465.8–89.3
2038	348.9335.4–357.3	78.866.9–89.4
2039	349.3335.7–358.3	77.564.7–89.2
2040	348.9339.2–356.6	80.567.4–92.7
2041	349.9337.3–358.1	80.966.4–97.7
2042	348.1336.5–357.9	82.469.1–95
2043	348.4336.5–357.3	83.268.5–97.9
2044	348.6337.6–357.8	83.169.3–91.6
2045	349.4335.2–360.2	8170.4–92.2
2046	351.3337.9–359.4	8668.3–95.2
2047	352.1341.4–359.4	83.469.7–96.7
2048	351.1338.7–360.6	82.769.2–95.2
2049	352.5339.7–360	81.669–96.8
2050	352.6340.1–359.7	81.569.8–93.8
2051	354.4343.2–360.9	84.572.7–98.8
2052	353.3343.5–359.5	83.167.8–98.5
2053	351.8340.5–358.9	86.969.8–98.1
2054	352343.5–359.3	84.773.3–97.5
2055	352.8339.5–359.2	86.570.8–101.3
2056	353.4339.8–360.9	85.874.5–99.8
2057	352.1338.8–359.4	87.976.1–100.7
2058	353.3343–360.6	86.275.2–99.4
2059	355341.5–359.7	86.766.9–100.4
2060	354344.1–362	86.371.9–101.9
2061	355338.3–361	8974.8–99.5
2062	352.2341.4–361	87.772.3–102.2
2063	356344–360.6	86.774.6–101.2
2064	354.4341.4–361.7	86.673.6–100.3
2065	352.7343.4–359.8	91.575.3–102.2
2066	353.7341.8–360.2	89.272.6–100.5
2067	352.9341.2–360.3	90.372.7–102.6
2068	354.6343.6–361.1	90.473.8–106.4
2069	355.6344.7–361.2	9174.5–102.5
2070	355343.5–361.4	89.774.6–107
2071	356346.1–361.1	92.674.9–107.9
2072	356.6345.8–361.5	90.976.6–103.9
2073	357.1347.3–362	91.376.2–104
2074	356.1341.9–362.3	91.974.6–107
2075	354.9340.7–361.9	94.576.4–103.7
2076	357.6347.1–362.9	93.477.5–105.6
2077	356.7345.6–362.3	95.776.3–107.2
2078	355345.5–361.7	93.576.9–110.5
2079	356.5347.1–361.5	91.179.2–105.7
2080	358347.4–363.9	92.481.7–107.1
2081	355.8345.5–362.5	93.878–108.8
2082	354.6345.1–360.9	96.279.9–110.1
2083	355.2345.7–361.7	94.481.1–108
2084	355.7343.4–361.6	91.574.4–107.3
2085	358.4350–362.5	9481.4–107.4
2086	356.6345.5–361.8	93.678.5–111.5
2087	357.5346.7–362.5	94.480.9–113.5
2088	357347.6–362.4	93.779.8–108.5
2089	357.2346.7–361.8	94.478.9–107
2090	355.7347.6–362.1	97.979.5–109
2091	357.8345.5–362.6	95.280.6–107.7
2092	355.5343.9–362.3	9580–106.3
2093	355.6344.4–361.2	95.379.5–109.9
2094	359.2347.3–362.9	92.279.8–111
2095	358.6347.7–362.8	94.884–112.2
2096	357.8348.4–363.2	100.481–113.2
2097	356.8346.5–362.4	97.278.6–108.8
2098	356.2346.9–362.6	97.479.9–110.4
2099	356.8346.4–362.7	95.879.9–109.3
2100	357.6347.9–363.1	96.381.6–113.8

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

Cambodia vs South Korea: Tropical nights

What the numbers say

Every year

Each country on its own

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Cambodia vs South Korea

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