Ecuador vs Mexico

Ecuador vs Mexico: Tropical nights

Tropical nights in 2014: 192 nights in Ecuador and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 88.3 nights, or 1.85 times that in Mexico.

nights a year · CMIP6

Ecuador vs Mexico: Tropical nightsTropical nights in 2014: 192 nights in Ecuador and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Ecuador, by 88.3 nights, or 1.85 times that in Mexico.
EcuadorMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Ecuador has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Ecuador at 223.3 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearEcuadorMexico
2014192103.7
2013192.7103.9
2012195.6102.8
2011193.5102.9
2010191.9101.5
2009190.7101.8
2008190.2100.1
2007188.399.1
200618699.8
2005187.499.5
200419099.4
2003188.398.3
2002187.299.1
200118998.7
2000185.397.9
1999181.496.6
1998182.795.8
1997182.495.9
1996176.293.8
1995174.992.7
1994175.890.7
1993170.889
1992166.288.5
1991179.893.4
1990184.594.9
1989178.893
1988173.992.1
1987177.892
1986177.290.2
198517290
1984172.188
1983166.886.7
1982170.888.7
1981177.491.5
1980173.290.1
1979172.190.8
1978172.389
197717289
197617089.1
1975163.986.8
1974169.487.9
1973173.388.6
1972169.587.7
1971167.586.8
1970169.886.1
1969167.487.5
1968168.587.1
1967159.586.7
1966162.286.4
1965163.384.9
1964161.284.7
1963151.187.1
1962168.688
1961169.589.5
1960172.489.7
1959167.389.6
1958170.789.1
1957171.489
195616488.5
195516988.2
1954169.588.4
1953169.688.6
1952170.387.8
1951171.789.4
1950169.588.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearEcuadorMexico
2015193.3172.3–205.7106.192.9–118.4
2016192.7172.2–203.6107.695–120
2017195.3178.7–206.8108.696.3–119.7
2018194.8178–206.510997.1–120.4
2019193.3173.9–207.6110.396.4–123
2020196.2179.1–208109.696.8–121.8
2021198.7183.8–209111.296.9–124.1
2022200.5181.4–209.9109.796–121.7
2023198.3180.6–210.1111.898.6–125.3
2024201.5181.4–210.7112.298.2–126.2
2025199.9180–21211298.8–125.8
2026200.2180.5–211.7113.999.5–126.4
2027199.8181.7–210.8112.999.5–128.3
2028203.4187–212.4115.2101.9–127.9
2029204.6189.9–213115.6101.9–127.9
2030200.4183–212.8115.9101.7–128.4
2031204.9187.3–214.1116.1100.9–129.9
2032205.8191.8–216.5116.1102.5–129.1
2033203.3184.3–213.1117.5102.5–131.1
2034203.3189.6–218.3117.2104.1–130.3
2035204.3187.8–214.4116.4103.1–130.3
2036204.8189.9–214.6117.8105.1–131
2037207.9195.6–216.5118.6104.3–131.7
2038208.5195.8–216.1121107.5–133.4
2039206.5190.8–217.1121.3107–135.6
2040208.7193.7–219.1121.9108.1–135.1
2041208.8194.8–218.1121.3105.3–134.6
2042208.6192.5–219.7122.7107.7–137.1
2043207.2192.5–217.3122.4108.1–137.5
2044207190.4–220.2121.9108–135.6
2045209.7196–219123.1108.8–139.2
2046213.1196.1–221.1123.8109.9–139.4
2047211.9198.3–219.3125.6111.9–139.4
2048214.1200.7–222.9126.3113–140.3
2049212.8200–221127111.2–140.8
2050211.6197.6–222.2128.1112.6–142.5
2051213.8197.8–221.4127.2113.4–140.8
2052213.3202.2–222.7126.2112.5–141.1
2053212.5198.8–221.7128.4111.5–142.7
2054213.5201–224.3128.1113.1–142.3
2055213.9203–224.9129114.4–144.7
2056215.6199.8–223.9129.5114.3–143.8
2057214.5198.6–224130.3113.5–145.9
2058215.1199.9–225.9128.8114.1–144.5
2059217.2200.1–225.2129.5114.5–144.5
2060217.1204.7–226.8131.4115.5–146.5
2061215.6201.9–225.8131.3118.4–146.8
2062216.8201.4–226.9130.8115.1–146.3
2063217202.6–226.3131.2115.6–147.9
2064216.7203–225132.2116.5–147.8
2065217.7204.7–227133.1115.8–148.6
2066217.2205.6–227.3133.3117.2–149.4
2067217.4201.5–226.7133.3117–150.3
2068218.9203.9–228.3134.6117.4–150.5
2069216.8201.7–228134.4117.8–150.9
2070216.8204.3–228.3134.2116.7–151.8
2071219.5205.5–228.7136.3120.8–152.7
2072220208.3–229137.2119.9–153.1
2073219.5208.1–230.7136.1119.1–153.6
2074218.4202.8–228136119.7–152.2
2075218.8203.6–227.8135.2118.5–151.8
2076220.7207.7–229.9136.3117.4–154.7
2077220.7206.9–230.5136.8119.6–152.8
2078220207.5–231137.1118.3–154.2
2079220.4205.4–229.2138.1121.3–157.1
2080220.2204.8–230.7137.6120.5–157.9
2081220.2205.5–230.9137.8120.7–154.7
2082220.1207.8–229.2138.7121.6–155.2
2083221.5208.5–232.9139.2119.3–158.8
2084222.3207.1–232.6140.3123.4–157.5
2085222.4208.4–234.3139.2120.9–157.2
2086219.9207.1–232.4139.8121–157.8
2087220.9206.1–231.9139.5121.5–157.4
2088221.7206.1–234.8141121.8–159.9
2089221.3206.9–232.8140.4121.7–158.9
2090221.6208.8–234.3141.2123–160.7
2091223.8207.5–233.5141.8123–161.6
2092222.7209.7–234.9141.3122.5–159.3
2093221.7208.7–235.5141.4124.3–161
2094223209.9–234.4142123.3–159.6
2095223.9209.9–235.4143.5124–160.7
2096221.9209.7–237.3142.3125–161.3
2097221.6208.4–232.3141.2123.2–160
2098222.1210.2–238.2142.2122.5–162
2099222.2207.1–234.4141.8122.4–160.7
2100223.3209.1–235.3142.8124.3–160.8

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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