Guatemala vs Mexico

Guatemala vs Mexico: Tropical nights

Tropical nights in 2014: 171.5 nights in Guatemala and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guatemala, by 67.8 nights, or 1.65 times that in Mexico.

nights a year · CMIP6

Guatemala vs Mexico: Tropical nightsTropical nights in 2014: 171.5 nights in Guatemala and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Guatemala, by 67.8 nights, or 1.65 times that in Mexico.
GuatemalaMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Guatemala has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Guatemala at 230.9 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearGuatemalaMexico
2014171.5103.7
2013175.4103.9
2012171.8102.8
2011173.8102.9
2010171.4101.5
2009169.7101.8
2008167.8100.1
2007167.699.1
2006167.299.8
2005169.299.5
2004167.499.4
2003165.898.3
2002165.799.1
2001165.398.7
2000163.697.9
199916296.6
1998162.195.8
1997160.795.9
1996157.993.8
1995153.592.7
199415590.7
1993153.589
1992151.788.5
1991158.293.4
1990161.994.9
1989157.593
1988154.292.1
1987154.792
1986153.190.2
1985150.790
1984150.388
1983148.186.7
1982151.388.7
1981156.791.5
1980152.390.1
197915390.8
1978149.589
1977150.689
1976151.689.1
1975147.486.8
1974150.287.9
1973149.688.6
1972148.287.7
1971145.586.8
1970145.486.1
1969146.887.5
1968146.787.1
1967142.786.7
1966145.986.4
1965143.384.9
196414384.7
1963144.687.1
1962149.588
1961149.889.5
1960151.489.7
1959147.489.6
1958150.589.1
1957151.189
1956148.288.5
1955152.588.2
1954150.488.4
1953149.388.6
1952150.387.8
1951151.889.4
1950148.688.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGuatemalaMexico
2015177158.4–194.6106.192.9–118.4
2016178.5161.5–195.5107.695–120
2017182.8166.6–194.9108.696.3–119.7
2018180.2165–196.410997.1–120.4
2019181.7159.3–199.5110.396.4–123
2020184.1161.8–198.6109.696.8–121.8
2021184.4168.1–201.1111.296.9–124.1
2022184.6165.7–198.4109.796–121.7
2023186.3171.1–207111.898.6–125.3
2024187.1169.9–207.3112.298.2–126.2
2025187.4169.7–205.611298.8–125.8
2026190.9167.9–211113.999.5–126.4
2027188.4171.9–210.9112.999.5–128.3
2028191.3175.8–208.5115.2101.9–127.9
2029192.7175.6–208.8115.6101.9–127.9
2030191173.3–207.9115.9101.7–128.4
2031193.6175.3–211.4116.1100.9–129.9
2032196.4178.7–214.8116.1102.5–129.1
2033193.3174.6–208.5117.5102.5–131.1
2034193.5176.2–214.4117.2104.1–130.3
2035193.4177.7–212.8116.4103.1–130.3
2036194.4180.5–212.8117.8105.1–131
2037199.1180–216.2118.6104.3–131.7
2038202.6184.8–216.7121107.5–133.4
2039199181.6–217.6121.3107–135.6
2040200.3182.9–217.9121.9108.1–135.1
2041200.7182.1–218.2121.3105.3–134.6
2042201.6180.3–222.1122.7107.7–137.1
2043201.7182.3–226.4122.4108.1–137.5
2044200.8184.9–222.3121.9108–135.6
2045203.6188.7–225.1123.1108.8–139.2
2046204.5183.3–227.5123.8109.9–139.4
2047207.5190.3–227.5125.6111.9–139.4
2048208.2188.9–229.4126.3113–140.3
2049210.1188.7–227.4127111.2–140.8
2050211.4188–230.7128.1112.6–142.5
2051208.1192.7–229.2127.2113.4–140.8
2052207.7193–227.9126.2112.5–141.1
2053209.8186.4–233.2128.4111.5–142.7
2054209.5194.7–233.2128.1113.1–142.3
2055212.4196.2–231.9129114.4–144.7
2056210.9193.3–233.1129.5114.3–143.8
2057213.3193.7–232.4130.3113.5–145.9
2058211.7192.3–238.1128.8114.1–144.5
2059214.5190.4–237.4129.5114.5–144.5
2060217.4196.4–237.3131.4115.5–146.5
2061213.9193.7–237.1131.3118.4–146.8
2062216.3194–237.3130.8115.1–146.3
2063217.2197–240.8131.2115.6–147.9
2064214.5196.1–236.1132.2116.5–147.8
2065217.3195.2–238.2133.1115.8–148.6
2066217.9195.2–240133.3117.2–149.4
2067216.4194.1–241.1133.3117–150.3
2068221200.2–243.4134.6117.4–150.5
2069219.9200.5–241.9134.4117.8–150.9
2070219.6199.9–242.6134.2116.7–151.8
2071222.5203.4–243136.3120.8–152.7
2072225.6200.4–247.6137.2119.9–153.1
2073224.4199.9–248.3136.1119.1–153.6
2074222.5202.2–245.9136119.7–152.2
2075220.2198.7–242.6135.2118.5–151.8
2076222.9195.4–247.7136.3117.4–154.7
2077225.2198.3–245.9136.8119.6–152.8
2078225.4197.8–245.9137.1118.3–154.2
2079223.4199.3–248.2138.1121.3–157.1
2080223.4201–250.7137.6120.5–157.9
2081224202.5–246.6137.8120.7–154.7
2082224.8201.3–245.9138.7121.6–155.2
2083225202.3–250.5139.2119.3–158.8
2084227.9204.9–249.9140.3123.4–157.5
2085227.7199.2–251.3139.2120.9–157.2
2086224.9202.3–249.6139.8121–157.8
2087227.1197.8–249.7139.5121.5–157.4
2088230.6207.4–255.5141121.8–159.9
2089229.7207.4–251.4140.4121.7–158.9
2090228.2210–253.4141.2123–160.7
2091231.4206.6–255.4141.8123–161.6
2092230.1207.4–253.4141.3122.5–159.3
2093226.7206–255.5141.4124.3–161
2094227.3204.4–251.7142123.3–159.6
2095231.1207.7–255.5143.5124–160.7
2096229.9206.3–255.5142.3125–161.3
2097226.7208.6–249.5141.2123.2–160
2098231.1202.9–259.1142.2122.5–162
2099230.2203.1–256.5141.8122.4–160.7
2100230.9208.9–255.1142.8124.3–160.8

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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