Belize vs Mexico

Belize vs Mexico: Tropical nights

Tropical nights in 2014: 305.9 nights in Belize and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Belize, by 202.2 nights, or 2.95 times that in Mexico.

nights a year · CMIP6

Belize vs Mexico: Tropical nightsTropical nights in 2014: 305.9 nights in Belize and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Belize, by 202.2 nights, or 2.95 times that in Mexico.
BelizeMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Belize has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Belize at 349 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearBelizeMexico
2014305.9103.7
2013311.6103.9
2012306.4102.8
2011306.8102.9
2010305.3101.5
2009304.3101.8
2008302.1100.1
2007302.299.1
200630299.8
2005304.399.5
2004303.699.4
2003299.698.3
2002299.199.1
2001299.398.7
2000299.597.9
199929796.6
1998297.195.8
1997296.995.9
1996292.393.8
1995288.592.7
1994290.790.7
1993289.489
1992288.988.5
1991293.993.4
1990296.294.9
1989294.293
1988291.692.1
1987289.292
1986286.890.2
1985287.490
1984284.988
1983282.586.7
1982285.788.7
1981291.491.5
1980287.790.1
1979286.990.8
197828589
1977284.189
1976287.689.1
1975283.586.8
1974284.587.9
1973284.988.6
1972282.387.7
1971279.486.8
1970278.186.1
1969282.487.5
1968281.287.1
1967277.286.7
1966280.386.4
1965278.184.9
1964277.584.7
1963280.287.1
1962283.588
196128589.5
1960287.289.7
1959282.689.6
1958284.389.1
1957286.489
1956283.888.5
1955288.488.2
1954286.388.4
1953285.888.6
195228387.8
1951286.989.4
1950284.288.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBelizeMexico
2015310.2291.1–328.2106.192.9–118.4
2016314296.3–330107.695–120
2017313.9301.3–327.1108.696.3–119.7
2018314.9299.7–329.410997.1–120.4
2019315.8295.7–333.2110.396.4–123
2020316.4295.8–329.4109.696.8–121.8
2021316.6300.5–331.9111.296.9–124.1
2022316.4298–328109.796–121.7
2023319.9304.9–336.9111.898.6–125.3
2024318.7301–338.1112.298.2–126.2
2025319.4303.7–332.811298.8–125.8
2026324.1302.2–339.1113.999.5–126.4
2027321.6306.8–340.3112.999.5–128.3
2028324.6308–339.3115.2101.9–127.9
2029323.5306.4–336.5115.6101.9–127.9
2030324.7308.1–337.6115.9101.7–128.4
2031327.5306.8–339.3116.1100.9–129.9
2032327309.8–342.8116.1102.5–129.1
2033326.5302.7–339.6117.5102.5–131.1
2034324.9307.4–341.4117.2104.1–130.3
2035325.1306.9–339.1116.4103.1–130.3
2036325.9309.3–343.2117.8105.1–131
2037329.5306.6–341.4118.6104.3–131.7
2038332.3315.1–343.1121107.5–133.4
2039327.9309.4–343.3121.3107–135.6
2040330.8310.8–343.1121.9108.1–135.1
2041331.1308–343121.3105.3–134.6
2042332.8309.1–344.1122.7107.7–137.1
2043331311.3–348.6122.4108.1–137.5
2044331.9314.8–345.3121.9108–135.6
2045333.5318.7–347123.1108.8–139.2
2046329.8310.4–348.8123.8109.9–139.4
2047334.8319.5–348.1125.6111.9–139.4
2048334.6315–348.6126.3113–140.3
2049338.1317.9–348.4127111.2–140.8
2050339.9315.8–351.4128.1112.6–142.5
2051338.1320.7–348.1127.2113.4–140.8
2052332.1320.3–349.1126.2112.5–141.1
2053337.8314.6–351.8128.4111.5–142.7
2054336.4324.5–349.9128.1113.1–142.3
2055337.4323.9–351.1129114.4–144.7
2056338.7322.9–352129.5114.3–143.8
2057339.1324.2–350.4130.3113.5–145.9
2058337.8320.9–352.1128.8114.1–144.5
2059339.3316.6–351.6129.5114.5–144.5
2060342.5325.6–352131.4115.5–146.5
2061339.5324.4–352.2131.3118.4–146.8
2062339323.2–350.6130.8115.1–146.3
2063339.9323.9–354.6131.2115.6–147.9
2064339.2321.5–352.1132.2116.5–147.8
2065339.4322.2–352.2133.1115.8–148.6
2066341.2321.8–353.5133.3117.2–149.4
2067341.3323–354.4133.3117–150.3
2068343.4326.8–356.5134.6117.4–150.5
2069345.3328.1–355.2134.4117.8–150.9
2070342.8326.9–355.8134.2116.7–151.8
2071345.1329.4–354.6136.3120.8–152.7
2072347.7324.9–358.6137.2119.9–153.1
2073343.9325.6–356.7136.1119.1–153.6
2074347.2328.1–357136119.7–152.2
2075343.1324.1–355.5135.2118.5–151.8
2076344.4317.6–358.1136.3117.4–154.7
2077344.1324–356136.8119.6–152.8
2078346.6323.7–357.9137.1118.3–154.2
2079344.4327.3–356.8138.1121.3–157.1
2080344.8327.2–359.4137.6120.5–157.9
2081345.4326.3–355137.8120.7–154.7
2082345.2329.8–357.4138.7121.6–155.2
2083344.1328–357.1139.2119.3–158.8
2084346.9331.9–357.4140.3123.4–157.5
2085346.2325.2–357.5139.2120.9–157.2
2086345.1325.5–356.1139.8121–157.8
2087348323.8–357.8139.5121.5–157.4
2088351.4330.2–359.6141121.8–159.9
2089350.2327.9–358.1140.4121.7–158.9
2090348.6336–359.8141.2123–160.7
2091348.7333.4–359.8141.8123–161.6
2092349.5329.8–357.9141.3122.5–159.3
2093346.1331–358.6141.4124.3–161
2094348329.9–357.3142123.3–159.6
2095348.9334.1–357.6143.5124–160.7
2096348.8330.7–357.5142.3125–161.3
2097345333.7–355.7141.2123.2–160
2098346.8326.4–359.5142.2122.5–162
2099348.4326.5–357.8141.8122.4–160.7
2100349332.1–357.1142.8124.3–160.8

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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