Mexico vs Türkiye

Mexico vs Türkiye: Tropical nights

Tropical nights in 2014: 103.7 nights in Mexico and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 83.9 nights, or 5.23 times that in Türkiye.

nights a year · CMIP6

Mexico vs Türkiye: Tropical nightsTropical nights in 2014: 103.7 nights in Mexico and 19.8 nights in Türkiye, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 83.9 nights, or 5.23 times that in Türkiye.
MexicoTürkiyeCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Mexico has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Mexico at 142.8 nights and Türkiye at 45.5 nights in 2100.

Every year

nights a year · CMIP6

YearMexicoTürkiye
2014103.719.8
2013103.918.5
2012102.818.7
2011102.918.5
2010101.518.7
2009101.817.6
2008100.118.2
200799.116.6
200699.817.7
200599.517.2
200499.417.1
200398.317.6
200299.116.8
200198.717.3
200097.916.4
199996.615.9
199895.814.7
199795.915
199693.814.8
199592.714.1
199490.713.5
19938912.1
199288.511.5
199193.413.4
199094.914.6
19899313.1
198892.112.9
19879212.5
198690.213.3
19859012.4
19848811.9
198386.710.7
198288.712.4
198191.512.2
198090.112.4
197990.812
19788911.5
19778911.2
197689.112
197586.811.5
197487.911.8
197388.611.6
197287.711.5
197186.812.1
197086.111.6
196987.512
196887.112
196786.711.3
196686.411.5
196584.910.8
196484.711.2
196387.112
19628811.8
196189.512
196089.712.9
195989.612.6
195889.113
19578912.2
195688.512.7
195588.211.9
195488.411.9
195388.612.9
195287.812.1
195189.412.5
195088.112.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMexicoTürkiye
2015106.192.9–118.422.216.2–29.8
2016107.695–12021.114.7–29.6
2017108.696.3–119.721.914.3–29.4
201810997.1–120.422.916–29.9
2019110.396.4–12321.916.4–29.5
2020109.696.8–121.823.617–31.6
2021111.296.9–124.12317.1–30.9
2022109.796–121.723.617.3–31.6
2023111.898.6–125.324.717.8–33.4
2024112.298.2–126.225.418.6–34.1
202511298.8–125.82518.1–33
2026113.999.5–126.425.618.3–34.1
2027112.999.5–128.324.816.9–34.8
2028115.2101.9–127.925.218.7–32
2029115.6101.9–127.926.219.8–34.4
2030115.9101.7–128.425.919.3–34.5
2031116.1100.9–129.926.419.7–35.1
2032116.1102.5–129.127.219.9–35.6
2033117.5102.5–131.128.721.4–36.9
2034117.2104.1–130.327.620.8–34.7
2035116.4103.1–130.328.721.7–37
2036117.8105.1–13128.720.9–38.1
2037118.6104.3–131.729.721.3–38.6
2038121107.5–133.429.922–41.6
2039121.3107–135.630.923.6–40.3
2040121.9108.1–135.130.923.2–40.9
2041121.3105.3–134.630.122.2–40.5
2042122.7107.7–137.129.920.1–40.7
2043122.4108.1–137.53123.6–40.4
2044121.9108–135.630.823.1–43.5
2045123.1108.8–139.232.424–43.1
2046123.8109.9–139.432.923.5–42.8
2047125.6111.9–139.432.324.1–44.9
2048126.3113–140.334.123–45.9
2049127111.2–140.831.622.1–43.2
2050128.1112.6–142.533.423.8–44.2
2051127.2113.4–140.834.125–43.1
2052126.2112.5–141.133.325.3–42.6
2053128.4111.5–142.735.326.6–44.2
2054128.1113.1–142.334.624–44.1
2055129114.4–144.735.425.9–47.7
2056129.5114.3–143.834.424.1–45.6
2057130.3113.5–145.936.326–47.4
2058128.8114.1–144.536.425.8–51.8
2059129.5114.5–144.537.124.8–48.1
2060131.4115.5–146.535.826.7–48.3
2061131.3118.4–146.838.826.3–49.7
2062130.8115.1–146.337.725.3–49.5
2063131.2115.6–147.938.426.6–51.7
2064132.2116.5–147.838.928.4–49.9
2065133.1115.8–148.639.628.6–49.4
2066133.3117.2–149.436.325–49.1
2067133.3117–150.338.327.7–50.7
2068134.6117.4–150.539.928–50.7
2069134.4117.8–150.939.729.2–52.2
2070134.2116.7–151.839.527.6–51.7
2071136.3120.8–152.739.829.1–51.7
2072137.2119.9–153.141.928.9–54.2
2073136.1119.1–153.640.927.2–54.6
2074136119.7–152.239.428–51.9
2075135.2118.5–151.839.828.4–53.9
2076136.3117.4–154.741.529.1–53.7
2077136.8119.6–152.841.329–53.3
2078137.1118.3–154.242.231.3–52.9
2079138.1121.3–157.14430.8–56.6
2080137.6120.5–157.943.432.5–54.9
2081137.8120.7–154.742.131.7–54.6
2082138.7121.6–155.243.630.9–56
2083139.2119.3–158.84629.6–57.6
2084140.3123.4–157.545.131–56.8
2085139.2120.9–157.243.330.3–54.5
2086139.8121–157.843.830.2–56.4
2087139.5121.5–157.444.229.2–59
2088141121.8–159.944.932.7–58.1
2089140.4121.7–158.944.630.7–59.3
2090141.2123–160.746.132.8–59.2
2091141.8123–161.645.332.2–61.2
2092141.3122.5–159.345.631.1–59.2
2093141.4124.3–16147.631.5–61.8
2094142123.3–159.647.533.7–61.2
2095143.5124–160.746.232.3–60.2
2096142.3125–161.345.731.1–60.7
2097141.2123.2–16048.432.1–61
2098142.2122.5–16246.431.2–59.5
2099141.8122.4–160.745.430.8–58
2100142.8124.3–160.845.530.4–60.1

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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