Mexico vs South Africa

Mexico vs South Africa: Tropical nights

Tropical nights in 2014: 103.7 nights in Mexico and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 76.6 nights, or 3.83 times that in South Africa.

nights a year · CMIP6

Mexico vs South Africa: Tropical nightsTropical nights in 2014: 103.7 nights in Mexico and 27.1 nights in South Africa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 76.6 nights, or 3.83 times that in South Africa.
MexicoSouth AfricaCMIP6 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 South Africa at 58.7 nights in 2100.

Every year

nights a year · CMIP6

YearMexicoSouth Africa
2014103.727.1
2013103.928.3
2012102.827.9
2011102.926.1
2010101.526
2009101.825.8
2008100.124.8
200799.124.7
200699.825.5
200599.525.3
200499.425.8
200398.325.1
200299.125
200198.724.5
200097.923.3
199996.623
199895.823.4
199795.922.5
199693.820.4
199592.719.3
199490.720
19938918.1
199288.518.1
199193.422.3
199094.922.7
19899322
198892.121.2
19879221.9
198690.221
19859018.9
19848820
198386.719
198288.720.3
198191.520
198090.121.2
197990.819.9
19788919.8
19778919.2
197689.119.2
197586.818.8
197487.919.7
197388.619.6
197287.719
197186.819.1
197086.118.6
196987.518.7
196887.117.8
196786.717.5
196686.417.8
196584.917.2
196484.714.9
196387.116.5
19628819.6
196189.519.7
196089.719.8
195989.618.5
195889.119.3
19578919.4
195688.518
195588.219.5
195488.418.4
195388.618.4
195287.819.3
195189.418.9
195088.118.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearMexicoSouth Africa
2015106.192.9–118.428.620–39.5
2016107.695–12026.817.8–37.9
2017108.696.3–119.728.919.6–37.8
201810997.1–120.429.620.6–40.6
2019110.396.4–12329.820.8–41.5
2020109.696.8–121.829.518.9–39.1
2021111.296.9–124.131.121.4–42.9
2022109.796–121.73223.7–43.1
2023111.898.6–125.331.922.9–41.8
2024112.298.2–126.23324–45.6
202511298.8–125.831.920.7–44.5
2026113.999.5–126.434.521.9–46.9
2027112.999.5–128.334.423–47.7
2028115.2101.9–127.933.522.9–46
2029115.6101.9–127.936.226.5–48.3
2030115.9101.7–128.436.124.9–49
2031116.1100.9–129.936.324.5–50.3
2032116.1102.5–129.136.424.5–49.2
2033117.5102.5–131.136.924.5–48.3
2034117.2104.1–130.337.626.4–51.8
2035116.4103.1–130.337.625.2–49.5
2036117.8105.1–1313826.5–50.5
2037118.6104.3–131.739.928.2–53.4
2038121107.5–133.441.528.4–54.2
2039121.3107–135.639.227–52.9
2040121.9108.1–135.138.125.6–55.6
2041121.3105.3–134.640.227.4–54.3
2042122.7107.7–137.14229–56.4
2043122.4108.1–137.542.128.2–58.4
2044121.9108–135.641.929.5–57.8
2045123.1108.8–139.242.728.2–59
2046123.8109.9–139.444.130–59.5
2047125.6111.9–139.444.630.7–61.2
2048126.3113–140.34531.9–61.5
2049127111.2–140.845.632.3–61.4
2050128.1112.6–142.546.931–63.6
2051127.2113.4–140.847.532–65
2052126.2112.5–141.148.332.7–64.3
2053128.4111.5–142.745.733.7–62.1
2054128.1113.1–142.34833.3–64.3
2055129114.4–144.746.833–68.4
2056129.5114.3–143.847.933.2–64.8
2057130.3113.5–145.950.232.6–68.9
2058128.8114.1–144.547.934–66.4
2059129.5114.5–144.551.333.1–66.9
2060131.4115.5–146.551.936–69.9
2061131.3118.4–146.850.534.8–71.3
2062130.8115.1–146.350.532.7–71
2063131.2115.6–147.950.434.3–69.7
2064132.2116.5–147.85134.1–67.7
2065133.1115.8–148.650.433.6–70.2
2066133.3117.2–149.45335.7–72.4
2067133.3117–150.350.634.8–70.4
2068134.6117.4–150.554.837.8–72.5
2069134.4117.8–150.954.339.1–73.4
2070134.2116.7–151.854.337.2–73.3
2071136.3120.8–152.755.837.9–76.9
2072137.2119.9–153.15639.4–78.6
2073136.1119.1–153.660.443.4–80.3
2074136119.7–152.257.439.1–75.3
2075135.2118.5–151.856.137.7–76
2076136.3117.4–154.758.538.4–75.3
2077136.8119.6–152.857.341–80.5
2078137.1118.3–154.25639.5–79
2079138.1121.3–157.157.639.3–78
2080137.6120.5–157.959.540.3–80.9
2081137.8120.7–154.75841.5–79.6
2082138.7121.6–155.258.839.7–77.7
2083139.2119.3–158.860.839.1–82.9
2084140.3123.4–157.562.540.4–82.9
2085139.2120.9–157.260.741.3–87.6
2086139.8121–157.860.542.1–83.3
2087139.5121.5–157.457.941–82.9
2088141121.8–159.964.243.4–85.3
2089140.4121.7–158.961.541.3–81.2
2090141.2123–160.761.641.5–86.8
2091141.8123–161.663.341.6–86.3
2092141.3122.5–159.363.144.9–84.8
2093141.4124.3–16162.443.2–86.1
2094142123.3–159.663.145.6–87.4
2095143.5124–160.765.342.6–91.7
2096142.3125–161.36142.7–90.1
2097141.2123.2–16058.841.2–84.6
2098142.2122.5–16265.143.8–89.8
2099141.8122.4–160.764.345–87
2100142.8124.3–160.858.742–88.2

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

Mexico vs South Africa

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment