Canada vs Tanzania

Canada vs Tanzania: Tropical nights

Tropical nights in 2014: 0.5 nights in Canada and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 105.8 nights, or 200 times that in Canada.

nights a year · CMIP6

Canada vs Tanzania: Tropical nightsTropical nights in 2014: 0.5 nights in Canada and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 105.8 nights, or 200 times that in Canada.
CanadaTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tanzania 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearCanadaTanzania
20140.5106.3
20130.4105.5
20120.5108.4
20110.5109
20100.4103.9
20090.5101.1
20080.4100.3
20070.499.5
20060.5100.4
20050.498.7
20040.4100.4
20030.499.6
20020.498.4
20010.3101.5
20000.394.9
19990.494.2
19980.396.8
19970.393.5
19960.389.6
19950.388.5
19940.285.4
19930.281.2
19920.180.1
19910.289.6
19900.391.1
19890.289.1
19880.287.6
19870.288.5
19860.289.4
19850.283
19840.283.1
19830.182.1
19820.184.8
19810.288
19800.285
19790.285.5
19780.282.9
19770.284.1
19760.181
19750.380.8
19740.282.2
19730.283.6
19720.281.4
19710.180.7
19700.281.8
19690.179.5
19680.179.1
19670.177.5
19660.278.1
19650.278
19640.173.8
19630.273.1
19620.281.1
19610.382.6
19600.283.9
19590.281.4
19580.282.1
19570.280.9
19560.280
19550.281.6
19540.281.4
19530.180.6
19520.281.4
19510.282.1
19500.280.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCanadaTanzania
20150.60.1–1.9114.895.2–137.4
20160.60.2–1.9108.391.6–125.6
20170.60.1–2114.893.6–137.8
20180.60.2–1.8116.497.4–137.1
20190.60.2–1.9113.495.2–133.2
20200.60.1–2119.396.2–143.5
20210.60.1–1.9119.5100.9–147.1
20220.80.3–2.3124.4105.3–147.4
20230.80.2–2.5122.1102.1–147.8
20240.70.1–2.6126.2100–150.1
20250.90.2–2.5124.6100.9–154
202610.2–3.1126.999.1–155.6
20270.90.2–3.3128102.9–147.7
202810.3–2.6129.9106.4–152.1
202910.3–3134.1111–156.5
203010.2–2.7129.4106.4–151.1
20310.90.2–2.7136.4115.9–158.4
20321.10.3–3.3135.1114–166.8
20331.10.4–3135.2110.9–161.9
20341.10.3–3.1134.7112.5–166.3
20351.30.3–3.8140.2114.6–165
20361.30.3–4137.8113.3–165.5
203710.3–3.3142.9121.5–168.9
20381.10.3–3.9147.9124.3–169.3
20391.10.3–3.5144.3117.6–171.3
20401.40.3–4.9140.5117–178
20411.30.4–3.7149.1121.7–175.6
20421.20.4–3.9146.3120.5–185.3
20431.20.3–4.5144.6117–173
20441.60.5–4.3147.7121.2–175.8
20451.40.4–4.2150.1125.2–183.4
20461.60.4–4.9161.5128.6–192.2
20471.70.6–4.8160.2129.7–194.4
20481.60.5–4.1158.8132.7–193.1
20491.60.4–5157.6131.1–196
20501.70.4–5.2159.7127.8–192
20511.80.5–6163.2135.5–197.8
205220.3–5.2161.9136.2–199.1
20531.50.3–4.9160.6127.5–197.7
20541.80.4–5.7163.2131.5–200.2
205520.5–5167.4137–208.3
20561.90.5–5.8166.4130.8–209.7
205720.5–5.8168134.6–208.3
20582.10.5–6.4168.7134.9–210.3
205920.6–5.9174.7144.9–219.5
20602.50.8–5.6181.7138.1–219.8
20612.40.6–6171.8135.5–218.1
20622.60.4–6.4177.5139.9–224
20632.20.6–6.4181.4140.1–213.8
20641.70.4–6185.3140.1–215.2
20652.40.5–7183.5141.1–221.8
20662.30.5–7.4181.9146.3–219.3
20672.40.6–6.3178.8138.8–229.2
20682.50.5–7.9186144.2–228.4
20692.90.8–7183.7141.7–225.3
20702.30.7–7.2180.7140.4–228.2
20712.40.5–7.3184.9146.9–235.2
20722.50.7–7.2191.3155–226.1
20732.60.6–7.6191.6152.4–235.6
20742.60.7–7.6183.3149.7–231.7
20752.60.6–7.7183.8144.8–233
20762.80.7–7.9191.1150.9–233.2
20772.90.7–8.5191.3152.6–238.2
20782.60.8–8.4189156.6–233.8
207930.7–7.4190.5147–237.3
20802.70.8–7.5197.3150.7–241.2
208131–8.6195.6153.4–237.4
20823.40.7–9.1194.5157.3–237.3
20833.21–9.4193.2151–249.8
20842.90.8–8.4201.1152.2–246.7
20853.51–9.1204.2162.3–252.3
20863.51–9.4195156–248.7
20873.80.9–9.5196.7160.8–244.5
20883.60.7–9.2208.4154.7–246.9
20893.40.9–8.5201.3158.6–248.2
20903.30.8–9197.9160.7–253.6
20913.91–10.6210161.6–256
20923.91–10205.8158.3–253.6
20933.61–9.6207.2161.2–251.9
20943.90.6–9.2207.9161.3–250.6
20953.71.1–11.2214.2166.4–258.5
20963.91.1–10.7205.3159.8–257.4
209741.1–10.7206.6158.4–256.8
20983.71.1–10.2209.1161–258.3
20993.81.3–9.7208.5160.1–256
21004.11–11.5208158.6–258.6

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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