Mexico vs South Korea: Tropical nights
Tropical nights in 2014: 103.7 nights in Mexico and 68.9 nights in South Korea, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 34.8 nights, or 1.5 times that in South Korea.
MexicoSouth Korea
Watch it change on the mapnights a year · CMIP6
Latest figures
nights a year · CMIP6
| Country | Latest | 10 years before | Projected |
|---|---|---|---|
| Mexico | 103.7 2014 | 99.4 | 142.8 2100 |
| South Korea | 68.9 2014 | 66.8 | 96.3 2100 |
What the numbers say
- Mexico has been higher in every year both have figures for since 1950.
- The CMIP6 model median (SSP2-4.5, middle of the road) puts Mexico at 142.8 nights and South Korea at 96.3 nights in 2100.
Every year
nights a year · CMIP6
| Year | Mexico | South Korea |
|---|---|---|
| 2014 | 103.7 | 68.9 |
| 2013 | 103.9 | 69.7 |
| 2012 | 102.8 | 67.7 |
| 2011 | 102.9 | 65.3 |
| 2010 | 101.5 | 68.3 |
| 2009 | 101.8 | 65.8 |
| 2008 | 100.1 | 63.7 |
| 2007 | 99.1 | 64.2 |
| 2006 | 99.8 | 64.8 |
| 2005 | 99.5 | 65.1 |
| 2004 | 99.4 | 66.8 |
| 2003 | 98.3 | 63.2 |
| 2002 | 99.1 | 63.3 |
| 2001 | 98.7 | 63.4 |
| 2000 | 97.9 | 61.7 |
| 1999 | 96.6 | 64.2 |
| 1998 | 95.8 | 60.7 |
| 1997 | 95.9 | 60.4 |
| 1996 | 93.8 | 61.2 |
| 1995 | 92.7 | 55.2 |
| 1994 | 90.7 | 54.8 |
| 1993 | 89 | 49.2 |
| 1992 | 88.5 | 50.7 |
| 1991 | 93.4 | 56.9 |
| 1990 | 94.9 | 58.8 |
| 1989 | 93 | 58.7 |
| 1988 | 92.1 | 55.6 |
| 1987 | 92 | 52.6 |
| 1986 | 90.2 | 51.4 |
| 1985 | 90 | 53.1 |
| 1984 | 88 | 50.4 |
| 1983 | 86.7 | 46.8 |
| 1982 | 88.7 | 54 |
| 1981 | 91.5 | 53.9 |
| 1980 | 90.1 | 51.6 |
| 1979 | 90.8 | 52.6 |
| 1978 | 89 | 56.4 |
| 1977 | 89 | 51.8 |
| 1976 | 89.1 | 52.8 |
| 1975 | 86.8 | 54.6 |
| 1974 | 87.9 | 52.7 |
| 1973 | 88.6 | 50.4 |
| 1972 | 87.7 | 51.8 |
| 1971 | 86.8 | 49.7 |
| 1970 | 86.1 | 50.4 |
| 1969 | 87.5 | 55.2 |
| 1968 | 87.1 | 51.7 |
| 1967 | 86.7 | 57.3 |
| 1966 | 86.4 | 52.9 |
| 1965 | 84.9 | 52.8 |
| 1964 | 84.7 | 52.2 |
| 1963 | 87.1 | 57.9 |
| 1962 | 88 | 53.3 |
| 1961 | 89.5 | 58.2 |
| 1960 | 89.7 | 55.2 |
| 1959 | 89.6 | 54.8 |
| 1958 | 89.1 | 56 |
| 1957 | 89 | 55.8 |
| 1956 | 88.5 | 59.1 |
| 1955 | 88.2 | 55.7 |
| 1954 | 88.4 | 54 |
| 1953 | 88.6 | 55.4 |
| 1952 | 87.8 | 57 |
| 1951 | 89.4 | 54.7 |
| 1950 | 88.1 | 59.8 |
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
| Year | Mexico | South Korea |
|---|---|---|
| 2015 | 106.192.9–118.4 | 68.656.8–82 |
| 2016 | 107.695–120 | 70.353.5–81.8 |
| 2017 | 108.696.3–119.7 | 70.559.5–82.9 |
| 2018 | 10997.1–120.4 | 69.156.9–81.2 |
| 2019 | 110.396.4–123 | 74.663.1–84.4 |
| 2020 | 109.696.8–121.8 | 7157.6–83 |
| 2021 | 111.296.9–124.1 | 70.252.7–84.1 |
| 2022 | 109.796–121.7 | 72.563–81.2 |
| 2023 | 111.898.6–125.3 | 74.563.2–84.2 |
| 2024 | 112.298.2–126.2 | 73.558.6–87.1 |
| 2025 | 11298.8–125.8 | 75.762.3–87.1 |
| 2026 | 113.999.5–126.4 | 7564–88.4 |
| 2027 | 112.999.5–128.3 | 74.163.4–88.9 |
| 2028 | 115.2101.9–127.9 | 77.361.5–87.9 |
| 2029 | 115.6101.9–127.9 | 75.463.1–86.7 |
| 2030 | 115.9101.7–128.4 | 75.364.5–87.6 |
| 2031 | 116.1100.9–129.9 | 76.763.6–87.3 |
| 2032 | 116.1102.5–129.1 | 76.761–89.2 |
| 2033 | 117.5102.5–131.1 | 78.860–92.7 |
| 2034 | 117.2104.1–130.3 | 77.264.7–87.2 |
| 2035 | 116.4103.1–130.3 | 8168.9–92.1 |
| 2036 | 117.8105.1–131 | 81.964.1–95 |
| 2037 | 118.6104.3–131.7 | 78.465.8–89.3 |
| 2038 | 121107.5–133.4 | 78.866.9–89.4 |
| 2039 | 121.3107–135.6 | 77.564.7–89.2 |
| 2040 | 121.9108.1–135.1 | 80.567.4–92.7 |
| 2041 | 121.3105.3–134.6 | 80.966.4–97.7 |
| 2042 | 122.7107.7–137.1 | 82.469.1–95 |
| 2043 | 122.4108.1–137.5 | 83.268.5–97.9 |
| 2044 | 121.9108–135.6 | 83.169.3–91.6 |
| 2045 | 123.1108.8–139.2 | 8170.4–92.2 |
| 2046 | 123.8109.9–139.4 | 8668.3–95.2 |
| 2047 | 125.6111.9–139.4 | 83.469.7–96.7 |
| 2048 | 126.3113–140.3 | 82.769.2–95.2 |
| 2049 | 127111.2–140.8 | 81.669–96.8 |
| 2050 | 128.1112.6–142.5 | 81.569.8–93.8 |
| 2051 | 127.2113.4–140.8 | 84.572.7–98.8 |
| 2052 | 126.2112.5–141.1 | 83.167.8–98.5 |
| 2053 | 128.4111.5–142.7 | 86.969.8–98.1 |
| 2054 | 128.1113.1–142.3 | 84.773.3–97.5 |
| 2055 | 129114.4–144.7 | 86.570.8–101.3 |
| 2056 | 129.5114.3–143.8 | 85.874.5–99.8 |
| 2057 | 130.3113.5–145.9 | 87.976.1–100.7 |
| 2058 | 128.8114.1–144.5 | 86.275.2–99.4 |
| 2059 | 129.5114.5–144.5 | 86.766.9–100.4 |
| 2060 | 131.4115.5–146.5 | 86.371.9–101.9 |
| 2061 | 131.3118.4–146.8 | 8974.8–99.5 |
| 2062 | 130.8115.1–146.3 | 87.772.3–102.2 |
| 2063 | 131.2115.6–147.9 | 86.774.6–101.2 |
| 2064 | 132.2116.5–147.8 | 86.673.6–100.3 |
| 2065 | 133.1115.8–148.6 | 91.575.3–102.2 |
| 2066 | 133.3117.2–149.4 | 89.272.6–100.5 |
| 2067 | 133.3117–150.3 | 90.372.7–102.6 |
| 2068 | 134.6117.4–150.5 | 90.473.8–106.4 |
| 2069 | 134.4117.8–150.9 | 9174.5–102.5 |
| 2070 | 134.2116.7–151.8 | 89.774.6–107 |
| 2071 | 136.3120.8–152.7 | 92.674.9–107.9 |
| 2072 | 137.2119.9–153.1 | 90.976.6–103.9 |
| 2073 | 136.1119.1–153.6 | 91.376.2–104 |
| 2074 | 136119.7–152.2 | 91.974.6–107 |
| 2075 | 135.2118.5–151.8 | 94.576.4–103.7 |
| 2076 | 136.3117.4–154.7 | 93.477.5–105.6 |
| 2077 | 136.8119.6–152.8 | 95.776.3–107.2 |
| 2078 | 137.1118.3–154.2 | 93.576.9–110.5 |
| 2079 | 138.1121.3–157.1 | 91.179.2–105.7 |
| 2080 | 137.6120.5–157.9 | 92.481.7–107.1 |
| 2081 | 137.8120.7–154.7 | 93.878–108.8 |
| 2082 | 138.7121.6–155.2 | 96.279.9–110.1 |
| 2083 | 139.2119.3–158.8 | 94.481.1–108 |
| 2084 | 140.3123.4–157.5 | 91.574.4–107.3 |
| 2085 | 139.2120.9–157.2 | 9481.4–107.4 |
| 2086 | 139.8121–157.8 | 93.678.5–111.5 |
| 2087 | 139.5121.5–157.4 | 94.480.9–113.5 |
| 2088 | 141121.8–159.9 | 93.779.8–108.5 |
| 2089 | 140.4121.7–158.9 | 94.478.9–107 |
| 2090 | 141.2123–160.7 | 97.979.5–109 |
| 2091 | 141.8123–161.6 | 95.280.6–107.7 |
| 2092 | 141.3122.5–159.3 | 9580–106.3 |
| 2093 | 141.4124.3–161 | 95.379.5–109.9 |
| 2094 | 142123.3–159.6 | 92.279.8–111 |
| 2095 | 143.5124–160.7 | 94.884–112.2 |
| 2096 | 142.3125–161.3 | 100.481–113.2 |
| 2097 | 141.2123.2–160 | 97.278.6–108.8 |
| 2098 | 142.2122.5–162 | 97.479.9–110.4 |
| 2099 | 141.8122.4–160.7 | 95.879.9–109.3 |
| 2100 | 142.8124.3–160.8 | 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