India vs South Korea: Tropical nights

Tropical nights in 2014: 215.5 nights in India and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in India, by 146.6 nights, or 3.13 times that in South Korea.

Watch it change on the map

nights a year · CMIP6

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

What the numbers say

India has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts India at 250.4 nights and South Korea at 96.3 nights in 2100.

Every year

nights a year · CMIP6

Year	India	South Korea
2014	215.5	68.9
2013	216	69.7
2012	217.4	67.7
2011	215.5	65.3
2010	215.2	68.3
2009	213.7	65.8
2008	213.7	63.7
2007	213.3	64.2
2006	212.5	64.8
2005	212.9	65.1
2004	214.9	66.8
2003	212.1	63.2
2002	213	63.3
2001	212.2	63.4
2000	210.8	61.7
1999	211.9	64.2
1998	210.3	60.7
1997	209.5	60.4
1996	207	61.2
1995	208.8	55.2
1994	207.1	54.8
1993	206	49.2
1992	203.5	50.7
1991	208	56.9
1990	209.9	58.8
1989	208	58.7
1988	207.3	55.6
1987	207.2	52.6
1986	207.2	51.4
1985	205.9	53.1
1984	206.7	50.4
1983	203.3	46.8
1982	205.7	54
1981	208.4	53.9
1980	205.3	51.6
1979	205.5	52.6
1978	204.1	56.4
1977	205.9	51.8
1976	204.6	52.8
1975	202.6	54.6
1974	205.3	52.7
1973	205.6	50.4
1972	203.8	51.8
1971	203.6	49.7
1970	202.6	50.4
1969	203.6	55.2
1968	201.7	51.7
1967	201.6	57.3
1966	203.9	52.9
1965	202.4	52.8
1964	201.2	52.2
1963	201.8	57.9
1962	203.8	53.3
1961	206.3	58.2
1960	206	55.2
1959	206.1	54.8
1958	204	56
1957	206.5	55.8
1956	204	59.1
1955	203.2	55.7
1954	206	54
1953	204	55.4
1952	204.4	57
1951	204.3	54.7
1950	206.3	59.8

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

Year	India	South Korea
2015	216.9202.1–228.4	68.656.8–82
2016	215202.5–227.6	70.353.5–81.8
2017	216.2202.1–228.5	70.559.5–82.9
2018	218.3204.5–231.4	69.156.9–81.2
2019	217.4202.3–230.4	74.663.1–84.4
2020	217.6203.1–232	7157.6–83
2021	219.7204.5–233.2	70.252.7–84.1
2022	220.5205.8–233	72.563–81.2
2023	220.4206.4–233.7	74.563.2–84.2
2024	222.6208.1–236.3	73.558.6–87.1
2025	219.7202.7–236.2	75.762.3–87.1
2026	220.2204.2–236.8	7564–88.4
2027	223.6207.1–239	74.163.4–88.9
2028	222.1205.1–235.7	77.361.5–87.9
2029	225.4210–240.3	75.463.1–86.7
2030	222.7207.3–235.6	75.364.5–87.6
2031	223.8207.1–237.8	76.763.6–87.3
2032	225.9210–240.5	76.761–89.2
2033	223.8209.3–235.4	78.860–92.7
2034	225.8210–242.7	77.264.7–87.2
2035	224.9210.6–240.9	8168.9–92.1
2036	224.2210.4–240.3	81.964.1–95
2037	228.3213.6–242.6	78.465.8–89.3
2038	228.1212.6–241.4	78.866.9–89.4
2039	227.4211.9–242.8	77.564.7–89.2
2040	227212.2–242	80.567.4–92.7
2041	227.1210.7–240.5	80.966.4–97.7
2042	229.1214.8–244.2	82.469.1–95
2043	228.9214.5–244	83.268.5–97.9
2044	229.7214.7–244.2	83.169.3–91.6
2045	231.2216.6–246.1	8170.4–92.2
2046	232.6216.2–248.6	8668.3–95.2
2047	232.4215.5–250	83.469.7–96.7
2048	235.6218.5–254.3	82.769.2–95.2
2049	235.3218.3–249.9	81.669–96.8
2050	233.5216.6–253.4	81.569.8–93.8
2051	234.9218.6–249.9	84.572.7–98.8
2052	234219.4–249.3	83.167.8–98.5
2053	234.9219.5–252.5	86.969.8–98.1
2054	237.2219.4–253.1	84.773.3–97.5
2055	237.2220.7–256.6	86.570.8–101.3
2056	238.8221.2–254.9	85.874.5–99.8
2057	235.7218.5–253.8	87.976.1–100.7
2058	238.8222.8–254.1	86.275.2–99.4
2059	241.1224.9–256.2	86.766.9–100.4
2060	240.9225.6–255.6	86.371.9–101.9
2061	237.9220.6–253.7	8974.8–99.5
2062	239.9221.2–259.7	87.772.3–102.2
2063	239.9222.3–256.1	86.774.6–101.2
2064	240223.8–256.3	86.673.6–100.3
2065	240.9222.9–257.3	91.575.3–102.2
2066	241.5224.1–258.6	89.272.6–100.5
2067	241.6224.8–257.9	90.372.7–102.6
2068	242.3224.6–262.1	90.473.8–106.4
2069	242.8225.4–259.1	9174.5–102.5
2070	240.1225.3–257.1	89.774.6–107
2071	241.8223.7–260.2	92.674.9–107.9
2072	242.6225.4–259.2	90.976.6–103.9
2073	243.8228–259.3	91.376.2–104
2074	241.6226.9–258.4	91.974.6–107
2075	243.5226.4–258.2	94.576.4–103.7
2076	243.2224.6–259.9	93.477.5–105.6
2077	243.7226.6–264.6	95.776.3–107.2
2078	246.7230.1–261.5	93.576.9–110.5
2079	244.9226.4–261.3	91.179.2–105.7
2080	246.7227–263.7	92.481.7–107.1
2081	247.5230.4–264.8	93.878–108.8
2082	244.6227.9–262.3	96.279.9–110.1
2083	247.5227.8–265.1	94.481.1–108
2084	247.3228.3–266.8	91.574.4–107.3
2085	246.5227.5–267.1	9481.4–107.4
2086	245.6227.7–266.5	93.678.5–111.5
2087	245.5226.7–266.2	94.480.9–113.5
2088	247229.4–266.9	93.779.8–108.5
2089	248.1230–266.3	94.478.9–107
2090	249228.9–266.4	97.979.5–109
2091	248.9230–266.5	95.280.6–107.7
2092	249.8232.3–267.8	9580–106.3
2093	248.1229–266.5	95.379.5–109.9
2094	249.1230.6–268.4	92.279.8–111
2095	251233.2–270	94.884–112.2
2096	247.8231.4–269.3	100.481–113.2
2097	251.1231.4–268	97.278.6–108.8
2098	252.3230.8–268.3	97.479.9–110.4
2099	248.7230.1–268.3	95.879.9–109.3
2100	250.4232.9–266.7	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

India vs South Korea: Tropical nights

What the numbers say

Every year

Each country on its own

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