Canada vs Mexico

Canada vs Mexico: Tropical nights

Tropical nights in 2014: 0.5 nights in Canada and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 103.2 nights, or 200 times that in Canada.

nights a year · CMIP6

Canada vs Mexico: Tropical nightsTropical nights in 2014: 0.5 nights in Canada and 103.7 nights in Mexico, in the CMIP6 climate models’ median run. In 2014 the value was higher in Mexico, by 103.2 nights, or 200 times that in Canada.
CanadaMexicoCMIP6 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 Canada at 4.1 nights and Mexico at 142.8 nights in 2100.

Every year

nights a year · CMIP6

YearCanadaMexico
20140.5103.7
20130.4103.9
20120.5102.8
20110.5102.9
20100.4101.5
20090.5101.8
20080.4100.1
20070.499.1
20060.599.8
20050.499.5
20040.499.4
20030.498.3
20020.499.1
20010.398.7
20000.397.9
19990.496.6
19980.395.8
19970.395.9
19960.393.8
19950.392.7
19940.290.7
19930.289
19920.188.5
19910.293.4
19900.394.9
19890.293
19880.292.1
19870.292
19860.290.2
19850.290
19840.288
19830.186.7
19820.188.7
19810.291.5
19800.290.1
19790.290.8
19780.289
19770.289
19760.189.1
19750.386.8
19740.287.9
19730.288.6
19720.287.7
19710.186.8
19700.286.1
19690.187.5
19680.187.1
19670.186.7
19660.286.4
19650.284.9
19640.184.7
19630.287.1
19620.288
19610.389.5
19600.289.7
19590.289.6
19580.289.1
19570.289
19560.288.5
19550.288.2
19540.288.4
19530.188.6
19520.287.8
19510.289.4
19500.288.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCanadaMexico
20150.60.1–1.9106.192.9–118.4
20160.60.2–1.9107.695–120
20170.60.1–2108.696.3–119.7
20180.60.2–1.810997.1–120.4
20190.60.2–1.9110.396.4–123
20200.60.1–2109.696.8–121.8
20210.60.1–1.9111.296.9–124.1
20220.80.3–2.3109.796–121.7
20230.80.2–2.5111.898.6–125.3
20240.70.1–2.6112.298.2–126.2
20250.90.2–2.511298.8–125.8
202610.2–3.1113.999.5–126.4
20270.90.2–3.3112.999.5–128.3
202810.3–2.6115.2101.9–127.9
202910.3–3115.6101.9–127.9
203010.2–2.7115.9101.7–128.4
20310.90.2–2.7116.1100.9–129.9
20321.10.3–3.3116.1102.5–129.1
20331.10.4–3117.5102.5–131.1
20341.10.3–3.1117.2104.1–130.3
20351.30.3–3.8116.4103.1–130.3
20361.30.3–4117.8105.1–131
203710.3–3.3118.6104.3–131.7
20381.10.3–3.9121107.5–133.4
20391.10.3–3.5121.3107–135.6
20401.40.3–4.9121.9108.1–135.1
20411.30.4–3.7121.3105.3–134.6
20421.20.4–3.9122.7107.7–137.1
20431.20.3–4.5122.4108.1–137.5
20441.60.5–4.3121.9108–135.6
20451.40.4–4.2123.1108.8–139.2
20461.60.4–4.9123.8109.9–139.4
20471.70.6–4.8125.6111.9–139.4
20481.60.5–4.1126.3113–140.3
20491.60.4–5127111.2–140.8
20501.70.4–5.2128.1112.6–142.5
20511.80.5–6127.2113.4–140.8
205220.3–5.2126.2112.5–141.1
20531.50.3–4.9128.4111.5–142.7
20541.80.4–5.7128.1113.1–142.3
205520.5–5129114.4–144.7
20561.90.5–5.8129.5114.3–143.8
205720.5–5.8130.3113.5–145.9
20582.10.5–6.4128.8114.1–144.5
205920.6–5.9129.5114.5–144.5
20602.50.8–5.6131.4115.5–146.5
20612.40.6–6131.3118.4–146.8
20622.60.4–6.4130.8115.1–146.3
20632.20.6–6.4131.2115.6–147.9
20641.70.4–6132.2116.5–147.8
20652.40.5–7133.1115.8–148.6
20662.30.5–7.4133.3117.2–149.4
20672.40.6–6.3133.3117–150.3
20682.50.5–7.9134.6117.4–150.5
20692.90.8–7134.4117.8–150.9
20702.30.7–7.2134.2116.7–151.8
20712.40.5–7.3136.3120.8–152.7
20722.50.7–7.2137.2119.9–153.1
20732.60.6–7.6136.1119.1–153.6
20742.60.7–7.6136119.7–152.2
20752.60.6–7.7135.2118.5–151.8
20762.80.7–7.9136.3117.4–154.7
20772.90.7–8.5136.8119.6–152.8
20782.60.8–8.4137.1118.3–154.2
207930.7–7.4138.1121.3–157.1
20802.70.8–7.5137.6120.5–157.9
208131–8.6137.8120.7–154.7
20823.40.7–9.1138.7121.6–155.2
20833.21–9.4139.2119.3–158.8
20842.90.8–8.4140.3123.4–157.5
20853.51–9.1139.2120.9–157.2
20863.51–9.4139.8121–157.8
20873.80.9–9.5139.5121.5–157.4
20883.60.7–9.2141121.8–159.9
20893.40.9–8.5140.4121.7–158.9
20903.30.8–9141.2123–160.7
20913.91–10.6141.8123–161.6
20923.91–10141.3122.5–159.3
20933.61–9.6141.4124.3–161
20943.90.6–9.2142123.3–159.6
20953.71.1–11.2143.5124–160.7
20963.91.1–10.7142.3125–161.3
209741.1–10.7141.2123.2–160
20983.71.1–10.2142.2122.5–162
20993.81.3–9.7141.8122.4–160.7
21004.11–11.5142.8124.3–160.8

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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