Colombia vs Mexico

Colombia vs Mexico: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 176.2 nights, or 2.7 times that in Mexico.

nights a year · CMIP6

Colombia vs Mexico: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Colombia, by 176.2 nights, or 2.7 times that in Mexico.
ColombiaMexicoCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Colombia has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaMexico
2014279.9103.7
2013279.8103.9
2012280.7102.8
2011280102.9
2010279.1101.5
2009279.3101.8
2008278.4100.1
2007277.399.1
2006277.599.8
2005277.799.5
2004278.299.4
2003277.598.3
2002277.399.1
200127898.7
2000276.297.9
1999274.696.6
1998275.295.8
1997274.495.9
1996271.293.8
1995271.392.7
1994270.490.7
199326889
1992264.788.5
1991273.993.4
1990275.694.9
1989271.993
1988270.392.1
1987271.892
1986271.490.2
1985268.490
1984268.288
1983265.186.7
1982269.288.7
1981272.191.5
1980270.290.1
1979269.390.8
1978268.389
1977269.689
1976266.189.1
1975261.686.8
1974266.687.9
1973269.988.6
1972266.687.7
1971265.786.8
1970265.486.1
196926687.5
1968264.687.1
1967261.786.7
1966263.786.4
1965263.284.9
1964260.384.7
1963254.887.1
1962266.788
196126789.5
1960268.689.7
1959265.589.6
195826889.1
1957267.489
1956263.388.5
1955267.788.2
1954267.288.4
1953267.988.6
1952268.187.8
1951267.289.4
1950266.588.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaMexico
2015280.4265.9–286.4106.192.9–118.4
2016279.9267.9–285.6107.695–120
2017281.7270.6–286.3108.696.3–119.7
2018281.5271.8–286.310997.1–120.4
2019281.1269.5–286.9110.396.4–123
2020282.1270.6–287.9109.696.8–121.8
2021283.2273.9–287.8111.296.9–124.1
2022283.7273.6–288.5109.796–121.7
2023282.6274.2–288.8111.898.6–125.3
2024284.7274.7–289.8112.298.2–126.2
2025283.5273.3–289.711298.8–125.8
2026283.4272.7–289.7113.999.5–126.4
2027283.9273.4–289.2112.999.5–128.3
2028285275.1–290.7115.2101.9–127.9
2029285.8276–290.3115.6101.9–127.9
2030284.2273.4–289.8115.9101.7–128.4
2031285.8274.8–291.2116.1100.9–129.9
2032286.7278.3–292.6116.1102.5–129.1
2033285.7274.7–290.3117.5102.5–131.1
2034285275.8–292.8117.2104.1–130.3
2035285.9277.3–292116.4103.1–130.3
2036286276.9–291.6117.8105.1–131
2037287.5279.3–291.9118.6104.3–131.7
2038288279.7–292.4121107.5–133.4
2039287.6278.8–292.7121.3107–135.6
2040287.6279.3–294.5121.9108.1–135.1
2041288.2279.9–292.7121.3105.3–134.6
2042288.2278.3–295122.7107.7–137.1
2043287.7277.7–293.4122.4108.1–137.5
2044287.8278.5–295.1121.9108–135.6
2045288.8280.5–293.9123.1108.8–139.2
2046290.4281–295.5123.8109.9–139.4
2047289.9280.6–294.6125.6111.9–139.4
2048290.7281.4–296.8126.3113–140.3
2049290.9282–295.3127111.2–140.8
2050290.1280.8–296128.1112.6–142.5
2051290.6280.9–295.7127.2113.4–140.8
2052290.9281.9–296.7126.2112.5–141.1
2053290.5280.8–296.3128.4111.5–142.7
2054290.8281.3–297.2128.1113.1–142.3
2055291.1282.6–298129114.4–144.7
2056291.5281.5–298.6129.5114.3–143.8
2057291.5281.2–297.3130.3113.5–145.9
2058291.8281.7–298.9128.8114.1–144.5
2059292.8282–299.2129.5114.5–144.5
2060293.2283–300.1131.4115.5–146.5
2061292.2281.9–298.7131.3118.4–146.8
2062292.6282.4–299.7130.8115.1–146.3
2063293.6282.3–298.6131.2115.6–147.9
2064292.7282.9–299.1132.2116.5–147.8
2065293.8283.6–299.4133.1115.8–148.6
2066293.1283.4–299.8133.3117.2–149.4
2067292.9281.8–299.6133.3117–150.3
2068294.2282.5–300.6134.6117.4–150.5
2069292.9282.4–300134.4117.8–150.9
2070292.9282.8–300.8134.2116.7–151.8
2071294.2282.8–301.5136.3120.8–152.7
2072294.9285.1–301.9137.2119.9–153.1
2073294.9285.5–302.2136.1119.1–153.6
2074293.9283.3–300.3136119.7–152.2
2075294.1283.2–300.6135.2118.5–151.8
2076294.9284.6–302136.3117.4–154.7
2077295.3284.3–301.9136.8119.6–152.8
2078294.4285–302137.1118.3–154.2
2079294.8283.7–301.8138.1121.3–157.1
2080295.1283.4–302.8137.6120.5–157.9
2081295.1284.8–302.6137.8120.7–154.7
2082295.1284.9–301.3138.7121.6–155.2
2083295.4284.5–304.6139.2119.3–158.8
2084296285.1–304.4140.3123.4–157.5
2085296.6285–305139.2120.9–157.2
2086295.6284.8–303.6139.8121–157.8
2087295.3284.1–303.4139.5121.5–157.4
2088295.9284.5–305.5141121.8–159.9
2089295.6285–304.5140.4121.7–158.9
2090295.7285.8–304.6141.2123–160.7
2091297285–304.9141.8123–161.6
2092296.8286–305.7141.3122.5–159.3
2093296.3285.6–305.3141.4124.3–161
2094296.4285.8–305142123.3–159.6
2095297.9285.6–304.9143.5124–160.7
2096296285.9–307.5142.3125–161.3
2097296.5284.8–303.4141.2123.2–160
2098296.6286–307.3142.2122.5–162
2099297284.6–305.4141.8122.4–160.7
2100297.4286.5–305.2142.8124.3–160.8

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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