Congo - Kinshasa vs India: Tropical nights

Tropical nights in 2014: 248.5 nights in Congo - Kinshasa and 215.5 nights in India, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 33 nights, or 1.15 times that in India.

Watch it change on the map

nights a year · CMIP6

Congo - KinshasaIndiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Congo - Kinshasa has been higher since 1994, when it overtook India.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Congo - Kinshasa at 324.1 nights and India at 250.4 nights in 2100.

Every year

nights a year · CMIP6

Year	Congo - Kinshasa	India
2014	248.5	215.5
2013	249.2	216
2012	250.9	217.4
2011	248.7	215.5
2010	243.5	215.2
2009	243	213.7
2008	239.7	213.7
2007	237.7	213.3
2006	239	212.5
2005	237.3	212.9
2004	238.5	214.9
2003	239.3	212.1
2002	236.5	213
2001	242.5	212.2
2000	233.5	210.8
1999	226.2	211.9
1998	230.6	210.3
1997	226.6	209.5
1996	218.6	207
1995	217.2	208.8
1994	211.9	207.1
1993	201.5	206
1992	197.6	203.5
1991	220.1	208
1990	225.4	209.9
1989	218.4	208
1988	216.7	207.3
1987	216.6	207.2
1986	216.8	207.2
1985	206.1	205.9
1984	205.9	206.7
1983	204.3	203.3
1982	204.5	205.7
1981	215.2	208.4
1980	211.4	205.3
1979	208.5	205.5
1978	202.6	204.1
1977	206.5	205.9
1976	201.9	204.6
1975	199	202.6
1974	204	205.3
1973	208.4	205.6
1972	202.5	203.8
1971	196.3	203.6
1970	201.7	202.6
1969	197.3	203.6
1968	199	201.7
1967	188.8	201.6
1966	194.7	203.9
1965	189	202.4
1964	177.3	201.2
1963	178.5	201.8
1962	203.2	203.8
1961	203.9	206.3
1960	209.8	206
1959	203.3	206.1
1958	204.3	204
1957	204	206.5
1956	197.6	204
1955	200.5	203.2
1954	201	206
1953	204.6	204
1952	201.9	204.4
1951	204.8	204.3
1950	200.8	206.3

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

Year	Congo - Kinshasa	India
2015	256.6217.3–277.7	216.9202.1–228.4
2016	247.7213.3–269.3	215202.5–227.6
2017	257.4226.6–278.3	216.2202.1–228.5
2018	258.8228.1–276.8	218.3204.5–231.4
2019	255.8222.6–278.7	217.4202.3–230.4
2020	259.4227.4–282.3	217.6203.1–232
2021	262.6234.7–283.8	219.7204.5–233.2
2022	264.8235.1–288.5	220.5205.8–233
2023	263.9236.8–287.2	220.4206.4–233.7
2024	270.9237.9–290	222.6208.1–236.3
2025	266.1230.6–292.2	219.7202.7–236.2
2026	267.4226.8–294.5	220.2204.2–236.8
2027	268.6230.6–293.6	223.6207.1–239
2028	271.7239.7–295.9	222.1205.1–235.7
2029	275.9249.3–296.6	225.4210–240.3
2030	270.4241.7–296.1	222.7207.3–235.6
2031	279.4246.6–297.5	223.8207.1–237.8
2032	277.9249.4–302.3	225.9210–240.5
2033	276.9245.9–301.6	223.8209.3–235.4
2034	276.7247.4–305.6	225.8210–242.7
2035	281243.7–305.1	224.9210.6–240.9
2036	278.3244.7–304.9	224.2210.4–240.3
2037	286.9256.1–308.6	228.3213.6–242.6
2038	289261.5–307.1	228.1212.6–241.4
2039	284.7253.4–307.3	227.4211.9–242.8
2040	284.5254.7–311.5	227212.2–242
2041	289.9258.4–310.8	227.1210.7–240.5
2042	286.9254.1–314.3	229.1214.8–244.2
2043	285.9253–313	228.9214.5–244
2044	288.3253.6–312.5	229.7214.7–244.2
2045	289.4260.1–314.1	231.2216.6–246.1
2046	298.3261.3–317.3	232.6216.2–248.6
2047	298.5268.2–317.8	232.4215.5–250
2048	299.1268–320.8	235.6218.5–254.3
2049	300.3269.6–320.4	235.3218.3–249.9
2050	297.8267.2–320.6	233.5216.6–253.4
2051	298.4272.3–323.1	234.9218.6–249.9
2052	300.2271.5–324	234219.4–249.3
2053	298.7265.5–322.6	234.9219.5–252.5
2054	300.6269.6–322.8	237.2219.4–253.1
2055	301.9274.9–325.6	237.2220.7–256.6
2056	302.1266.2–328.3	238.8221.2–254.9
2057	305.1274.4–326.5	235.7218.5–253.8
2058	305.3274.1–327.1	238.8222.8–254.1
2059	305.4279–329.6	241.1224.9–256.2
2060	310.7273.5–330.2	240.9225.6–255.6
2061	307266.1–329.8	237.9220.6–253.7
2062	308.8269.1–332	239.9221.2–259.7
2063	308.4277.6–328.4	239.9222.3–256.1
2064	310.6278.4–329.6	240223.8–256.3
2065	311.9282.4–331.2	240.9222.9–257.3
2066	310.4284.2–330.3	241.5224.1–258.6
2067	308.8275.9–334	241.6224.8–257.9
2068	313.9280.8–334.6	242.3224.6–262.1
2069	312.1270.6–332.7	242.8225.4–259.1
2070	309.6278–334	240.1225.3–257.1
2071	312.6285–336.5	241.8223.7–260.2
2072	317287.7–334.6	242.6225.4–259.2
2073	316.2291.2–337.1	243.8228–259.3
2074	311.6284.5–334.9	241.6226.9–258.4
2075	312.3279.3–335.2	243.5226.4–258.2
2076	315.9288.7–337.1	243.2224.6–259.9
2077	318.5292.6–338.2	243.7226.6–264.6
2078	315287.3–337.1	246.7230.1–261.5
2079	314.8286.3–336	244.9226.4–261.3
2080	318.5286.8–337.8	246.7227–263.7
2081	318.4287.8–336.7	247.5230.4–264.8
2082	318.7289.8–336.5	244.6227.9–262.3
2083	317.4290.6–340.9	247.5227.8–265.1
2084	321.6293.8–339.8	247.3228.3–266.8
2085	324.4294.3–341.4	246.5227.5–267.1
2086	319290.7–340.7	245.6227.7–266.5
2087	318.3291.9–339.6	245.5226.7–266.2
2088	320.9292.9–340	247229.4–266.9
2089	322.1293.9–339.8	248.1230–266.3
2090	320.4295.5–341.7	249228.9–266.4
2091	325.4294.3–343.3	248.9230–266.5
2092	321.5294.4–342.4	249.8232.3–267.8
2093	323.1297.8–341.2	248.1229–266.5
2094	323.1296.5–341.1	249.1230.6–268.4
2095	325.6299.1–343.7	251233.2–270
2096	321.8296.2–344.1	247.8231.4–269.3
2097	321.5292.6–342	251.1231.4–268
2098	324.2295.1–342.8	252.3230.8–268.3
2099	322.8293.7–344.6	248.7230.1–268.3
2100	324.1292.1–344.1	250.4232.9–266.7

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