Indonesia vs Mexico: Tropical nights

Tropical nights in 2014: 306.5 nights in Indonesia and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Indonesia, by 202.8 nights, or 2.96 times that in Mexico.

Watch it change on the map

nights a year · CMIP6

IndonesiaMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

Indonesia has been higher in every year both have figures for since 1950.
The CMIP6 model median (SSP2-4.5, middle of the road) puts Indonesia at 334.7 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

Year	Indonesia	Mexico
2014	306.5	103.7
2013	306.4	103.9
2012	306.3	102.8
2011	304.6	102.9
2010	305.6	101.5
2009	303.9	101.8
2008	303.4	100.1
2007	302.8	99.1
2006	302.8	99.8
2005	303.1	99.5
2004	303.8	99.4
2003	301.9	98.3
2002	301.5	99.1
2001	302.5	98.7
2000	300.9	97.9
1999	300.4	96.6
1998	299.1	95.8
1997	297.9	95.9
1996	296.9	93.8
1995	296.7	92.7
1994	294.6	90.7
1993	291.6	89
1992	288.5	88.5
1991	297.5	93.4
1990	298.6	94.9
1989	296	93
1988	296.5	92.1
1987	295.6	92
1986	295.8	90.2
1985	292.8	90
1984	293.4	88
1983	290.1	86.7
1982	294.4	88.7
1981	294.8	91.5
1980	294.5	90.1
1979	294.1	90.8
1978	292.4	89
1977	293.4	89
1976	290.8	89.1
1975	290.7	86.8
1974	291.5	87.9
1973	293	88.6
1972	290.7	87.7
1971	291.2	86.8
1970	288.9	86.1
1969	290.4	87.5
1968	289.1	87.1
1967	288.4	86.7
1966	290.5	86.4
1965	288.1	84.9
1964	286.2	84.7
1963	286.4	87.1
1962	291.2	88
1961	292.9	89.5
1960	292.8	89.7
1959	291.9	89.6
1958	293.3	89.1
1957	290.8	89
1956	291.5	88.5
1955	292.4	88.2
1954	290	88.4
1953	291.4	88.6
1952	291.7	87.8
1951	291.7	89.4
1950	291.8	88.1

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

Year	Indonesia	Mexico
2015	308295.7–315.1	106.192.9–118.4
2016	307.5296.9–315.6	107.695–120
2017	308.4295.5–315.6	108.696.3–119.7
2018	308.9296.4–316.6	10997.1–120.4
2019	309.9297.8–316.7	110.396.4–123
2020	310.9299–318.6	109.696.8–121.8
2021	310.4298.7–316.4	111.296.9–124.1
2022	311.4300–319.6	109.796–121.7
2023	311.4300.1–320.6	111.898.6–125.3
2024	313.2302–321.2	112.298.2–126.2
2025	312300.2–321.9	11298.8–125.8
2026	312.6299.9–322.8	113.999.5–126.4
2027	312.7301–321.6	112.999.5–128.3
2028	313.8302.4–321.9	115.2101.9–127.9
2029	315.5303.9–324.1	115.6101.9–127.9
2030	314.2303.1–322.6	115.9101.7–128.4
2031	314.4301.6–321.9	116.1100.9–129.9
2032	316.9304.8–325.8	116.1102.5–129.1
2033	316.6305.4–323.3	117.5102.5–131.1
2034	315.4303.9–323.9	117.2104.1–130.3
2035	316.3305.6–327.9	116.4103.1–130.3
2036	317.7305.2–326.2	117.8105.1–131
2037	318.1306.6–325.2	118.6104.3–131.7
2038	319.3307.6–326.7	121107.5–133.4
2039	319.4307.7–326.7	121.3107–135.6
2040	318.5306.5–329	121.9108.1–135.1
2041	320.2308.3–328	121.3105.3–134.6
2042	320308.7–329.2	122.7107.7–137.1
2043	318.6306.6–327.8	122.4108.1–137.5
2044	321309–329.6	121.9108–135.6
2045	320.8308.6–329.8	123.1108.8–139.2
2046	322.8308.8–331	123.8109.9–139.4
2047	323.2308.8–333	125.6111.9–139.4
2048	322.3310.5–332.3	126.3113–140.3
2049	323.8311.6–334.1	127111.2–140.8
2050	323.3310.3–333.5	128.1112.6–142.5
2051	323.6311.2–334.4	127.2113.4–140.8
2052	325.1311.7–334.7	126.2112.5–141.1
2053	323.9310.9–333.8	128.4111.5–142.7
2054	324.4311.9–335.4	128.1113.1–142.3
2055	325.3312.6–335	129114.4–144.7
2056	325.9312.4–337.2	129.5114.3–143.8
2057	326.9311.9–335.2	130.3113.5–145.9
2058	326.4313–336.3	128.8114.1–144.5
2059	326.4313.9–337.8	129.5114.5–144.5
2060	329.5314.9–338.2	131.4115.5–146.5
2061	327.9313.6–336.9	131.3118.4–146.8
2062	327.6312.4–339.1	130.8115.1–146.3
2063	327.6313.9–339.4	131.2115.6–147.9
2064	328.8314.4–338.6	132.2116.5–147.8
2065	327.6314.3–337.9	133.1115.8–148.6
2066	328.6314.7–338.5	133.3117.2–149.4
2067	328.8314.3–338	133.3117–150.3
2068	329.8314.4–339.9	134.6117.4–150.5
2069	329.5315.5–339.3	134.4117.8–150.9
2070	328.6315.1–338.8	134.2116.7–151.8
2071	331.4315.5–340.4	136.3120.8–152.7
2072	330.3315.9–339.4	137.2119.9–153.1
2073	331.4317.7–341	136.1119.1–153.6
2074	329.9316.8–341.1	136119.7–152.2
2075	330.5315.2–340.2	135.2118.5–151.8
2076	331.5316.2–341.2	136.3117.4–154.7
2077	332315.9–341.8	136.8119.6–152.8
2078	331.4318.2–340.9	137.1118.3–154.2
2079	331.5316.6–341.5	138.1121.3–157.1
2080	332.4317.4–343.2	137.6120.5–157.9
2081	332.3318.4–341.8	137.8120.7–154.7
2082	332.8317.8–340.4	138.7121.6–155.2
2083	333.1318.7–342.6	139.2119.3–158.8
2084	333317.8–342.7	140.3123.4–157.5
2085	332.6318.1–342.7	139.2120.9–157.2
2086	333.1318.9–342.3	139.8121–157.8
2087	332.6318–343.2	139.5121.5–157.4
2088	334.5319.5–343.1	141121.8–159.9
2089	333.6319–342.6	140.4121.7–158.9
2090	333.3319.6–343.3	141.2123–160.7
2091	334.5318.2–343.9	141.8123–161.6
2092	335.1319.7–343.6	141.3122.5–159.3
2093	333.9320–344.9	141.4124.3–161
2094	335.6320.4–342.8	142123.3–159.6
2095	335.4319.7–343	143.5124–160.7
2096	334.3319.4–346.1	142.3125–161.3
2097	334.2319.5–343.3	141.2123.2–160
2098	334.9319.4–343.4	142.2122.5–162
2099	334.4319.4–344.6	141.8122.4–160.7
2100	334.7318.7–343.3	142.8124.3–160.8

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

Indonesia vs Mexico: Tropical nights

What the numbers say

Every year

Each country on its own

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Indonesia vs Mexico

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