Honduras vs Mexico

Honduras vs Mexico: Tropical nights

Tropical nights in 2014: 176.7 nights in Honduras and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Honduras, by 73 nights, or 1.7 times that in Mexico.

nights a year · CMIP6

Honduras vs Mexico: Tropical nightsTropical nights in 2014: 176.7 nights in Honduras and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Honduras, by 73 nights, or 1.7 times that in Mexico.
HondurasMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Honduras has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Honduras at 279.1 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearHondurasMexico
2014176.7103.7
2013181.1103.9
2012181.4102.8
2011180.5102.9
2010176.9101.5
2009174.4101.8
2008170.5100.1
2007171.899.1
200617199.8
2005171.699.5
2004174.299.4
2003170.298.3
2002169.199.1
2001168.298.7
2000164.897.9
1999162.296.6
199816395.8
1997160.495.9
1996154.793.8
1995152.592.7
1994151.990.7
199314989
199214588.5
1991156.793.4
1990162.194.9
1989153.893
1988151.192.1
1987151.992
1986151.390.2
1985146.190
1984147.588
1983143.786.7
1982148.488.7
1981150.991.5
1980147.890.1
1979148.990.8
197814689
1977148.689
1976145.589.1
1975141.886.8
1974146.887.9
1973145.188.6
1972140.487.7
1971141.186.8
1970140.686.1
1969142.287.5
1968141.987.1
1967138.486.7
1966139.986.4
1965138.184.9
1964138.484.7
1963136.887.1
1962144.288
1961145.589.5
1960146.189.7
1959143.389.6
1958147.689.1
1957144.589
1956143.888.5
1955146.388.2
195414488.4
1953143.288.6
1952143.687.8
1951145.589.4
1950143.788.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearHondurasMexico
2015186.4151.3–215.3106.192.9–118.4
2016185.7154.8–211.9107.695–120
2017194.4164.9–215.2108.696.3–119.7
2018190.6168.8–218.510997.1–120.4
2019189161–221110.396.4–123
2020196.8164.4–223109.696.8–121.8
2021199.3176.3–226.8111.296.9–124.1
2022202.9173–227.6109.796–121.7
2023198.1175.2–230.1111.898.6–125.3
2024204.7177.9–233.2112.298.2–126.2
2025202.7173.9–230.811298.8–125.8
2026206.8174–235.2113.999.5–126.4
2027206.5177.9–235.7112.999.5–128.3
2028211.3184–238.7115.2101.9–127.9
2029210.3185.4–244.5115.6101.9–127.9
2030208.9176.9–241.7115.9101.7–128.4
2031217.3187.1–246.4116.1100.9–129.9
2032218.9194.5–247.9116.1102.5–129.1
2033213.3188.2–239.7117.5102.5–131.1
2034211.3186.1–248.7117.2104.1–130.3
2035215.3184.2–248.2116.4103.1–130.3
2036215.5194.1–242.5117.8105.1–131
2037226.4202.4–251.6118.6104.3–131.7
2038228.9198.7–256.2121107.5–133.4
2039224.4196.6–256.2121.3107–135.6
2040225.1201–258121.9108.1–135.1
2041225.9203–251.8121.3105.3–134.6
2042229.3200.2–262.8122.7107.7–137.1
2043224.4199–262.5122.4108.1–137.5
2044224.8201.2–262.7121.9108–135.6
2045231206.1–262.3123.1108.8–139.2
2046236.9204.5–267.7123.8109.9–139.4
2047236.3213.3–269.3125.6111.9–139.4
2048241.2216.7–268.9126.3113–140.3
2049244.8213.5–270.7127111.2–140.8
2050241.1207.2–277.8128.1112.6–142.5
2051239.9210.5–270.2127.2113.4–140.8
2052245.1215.7–271.2126.2112.5–141.1
2053240.8211.7–277.5128.4111.5–142.7
2054243.9220.4–286.6128.1113.1–142.3
2055248.1220.1–282.1129114.4–144.7
2056245.6213.1–279129.5114.3–143.8
2057249.4214.2–279.1130.3113.5–145.9
2058248.4217.2–289.1128.8114.1–144.5
2059252.6220.5–283.1129.5114.5–144.5
2060256.8225.2–289.4131.4115.5–146.5
2061254.5220.4–285.9131.3118.4–146.8
2062252.8217.4–291.1130.8115.1–146.3
2063258.7226.2–288131.2115.6–147.9
2064252.1224.1–285.7132.2116.5–147.8
2065258.1226.9–288.9133.1115.8–148.6
2066256.4227.7–287.4133.3117.2–149.4
2067258.3228.2–294.9133.3117–150.3
2068264.6231.2–295134.6117.4–150.5
2069258.1229.3–292134.4117.8–150.9
2070256.9225.3–297.9134.2116.7–151.8
2071261.9231–292.9136.3120.8–152.7
2072267.3235.2–300.4137.2119.9–153.1
2073268.1233.7–304.7136.1119.1–153.6
2074263.7234.2–295.9136119.7–152.2
2075262.1229.5–295.4135.2118.5–151.8
2076266.8231.8–298.5136.3117.4–154.7
2077268.6232.1–298.8136.8119.6–152.8
2078270.1236.8–299.6137.1118.3–154.2
2079265.3229.5–304.2138.1121.3–157.1
2080268.4230.2–304.2137.6120.5–157.9
2081268231.9–300.8137.8120.7–154.7
2082267.4230.2–301.8138.7121.6–155.2
2083268.3236.2–307.4139.2119.3–158.8
2084273.9235.2–307.1140.3123.4–157.5
2085276.4234.2–305.9139.2120.9–157.2
2086267.9238.8–305.2139.8121–157.8
2087270.4233.7–301.8139.5121.5–157.4
2088277239.9–310.2141121.8–159.9
2089275.4246–309.8140.4121.7–158.9
2090275.3244.1–307141.2123–160.7
2091281.9240.6–310.6141.8123–161.6
2092277.1245.6–312.3141.3122.5–159.3
2093272.8244.2–311.6141.4124.3–161
2094274.9245.2–308.4142123.3–159.6
2095280.8244.6–313.5143.5124–160.7
2096275.2245.8–313.5142.3125–161.3
2097276247.2–305.4141.2123.2–160
2098278.9238.9–313.4142.2122.5–162
2099280.8240.6–312.8141.8122.4–160.7
2100279.1248.3–309.6142.8124.3–160.8

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

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