Canada vs Congo - Kinshasa

Canada vs Congo - Kinshasa: Tropical nights

Tropical nights in 2014: 0.5 nights in Canada and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 248 nights, or 470 times that in Canada.

nights a year · CMIP6

Canada vs Congo - Kinshasa: Tropical nightsTropical nights in 2014: 0.5 nights in Canada and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 248 nights, or 470 times that in Canada.
CanadaCongo - KinshasaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Congo - Kinshasa 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 Congo - Kinshasa at 324.1 nights in 2100.

Every year

nights a year · CMIP6

YearCanadaCongo - Kinshasa
20140.5248.5
20130.4249.2
20120.5250.9
20110.5248.7
20100.4243.5
20090.5243
20080.4239.7
20070.4237.7
20060.5239
20050.4237.3
20040.4238.5
20030.4239.3
20020.4236.5
20010.3242.5
20000.3233.5
19990.4226.2
19980.3230.6
19970.3226.6
19960.3218.6
19950.3217.2
19940.2211.9
19930.2201.5
19920.1197.6
19910.2220.1
19900.3225.4
19890.2218.4
19880.2216.7
19870.2216.6
19860.2216.8
19850.2206.1
19840.2205.9
19830.1204.3
19820.1204.5
19810.2215.2
19800.2211.4
19790.2208.5
19780.2202.6
19770.2206.5
19760.1201.9
19750.3199
19740.2204
19730.2208.4
19720.2202.5
19710.1196.3
19700.2201.7
19690.1197.3
19680.1199
19670.1188.8
19660.2194.7
19650.2189
19640.1177.3
19630.2178.5
19620.2203.2
19610.3203.9
19600.2209.8
19590.2203.3
19580.2204.3
19570.2204
19560.2197.6
19550.2200.5
19540.2201
19530.1204.6
19520.2201.9
19510.2204.8
19500.2200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearCanadaCongo - Kinshasa
20150.60.1–1.9256.6217.3–277.7
20160.60.2–1.9247.7213.3–269.3
20170.60.1–2257.4226.6–278.3
20180.60.2–1.8258.8228.1–276.8
20190.60.2–1.9255.8222.6–278.7
20200.60.1–2259.4227.4–282.3
20210.60.1–1.9262.6234.7–283.8
20220.80.3–2.3264.8235.1–288.5
20230.80.2–2.5263.9236.8–287.2
20240.70.1–2.6270.9237.9–290
20250.90.2–2.5266.1230.6–292.2
202610.2–3.1267.4226.8–294.5
20270.90.2–3.3268.6230.6–293.6
202810.3–2.6271.7239.7–295.9
202910.3–3275.9249.3–296.6
203010.2–2.7270.4241.7–296.1
20310.90.2–2.7279.4246.6–297.5
20321.10.3–3.3277.9249.4–302.3
20331.10.4–3276.9245.9–301.6
20341.10.3–3.1276.7247.4–305.6
20351.30.3–3.8281243.7–305.1
20361.30.3–4278.3244.7–304.9
203710.3–3.3286.9256.1–308.6
20381.10.3–3.9289261.5–307.1
20391.10.3–3.5284.7253.4–307.3
20401.40.3–4.9284.5254.7–311.5
20411.30.4–3.7289.9258.4–310.8
20421.20.4–3.9286.9254.1–314.3
20431.20.3–4.5285.9253–313
20441.60.5–4.3288.3253.6–312.5
20451.40.4–4.2289.4260.1–314.1
20461.60.4–4.9298.3261.3–317.3
20471.70.6–4.8298.5268.2–317.8
20481.60.5–4.1299.1268–320.8
20491.60.4–5300.3269.6–320.4
20501.70.4–5.2297.8267.2–320.6
20511.80.5–6298.4272.3–323.1
205220.3–5.2300.2271.5–324
20531.50.3–4.9298.7265.5–322.6
20541.80.4–5.7300.6269.6–322.8
205520.5–5301.9274.9–325.6
20561.90.5–5.8302.1266.2–328.3
205720.5–5.8305.1274.4–326.5
20582.10.5–6.4305.3274.1–327.1
205920.6–5.9305.4279–329.6
20602.50.8–5.6310.7273.5–330.2
20612.40.6–6307266.1–329.8
20622.60.4–6.4308.8269.1–332
20632.20.6–6.4308.4277.6–328.4
20641.70.4–6310.6278.4–329.6
20652.40.5–7311.9282.4–331.2
20662.30.5–7.4310.4284.2–330.3
20672.40.6–6.3308.8275.9–334
20682.50.5–7.9313.9280.8–334.6
20692.90.8–7312.1270.6–332.7
20702.30.7–7.2309.6278–334
20712.40.5–7.3312.6285–336.5
20722.50.7–7.2317287.7–334.6
20732.60.6–7.6316.2291.2–337.1
20742.60.7–7.6311.6284.5–334.9
20752.60.6–7.7312.3279.3–335.2
20762.80.7–7.9315.9288.7–337.1
20772.90.7–8.5318.5292.6–338.2
20782.60.8–8.4315287.3–337.1
207930.7–7.4314.8286.3–336
20802.70.8–7.5318.5286.8–337.8
208131–8.6318.4287.8–336.7
20823.40.7–9.1318.7289.8–336.5
20833.21–9.4317.4290.6–340.9
20842.90.8–8.4321.6293.8–339.8
20853.51–9.1324.4294.3–341.4
20863.51–9.4319290.7–340.7
20873.80.9–9.5318.3291.9–339.6
20883.60.7–9.2320.9292.9–340
20893.40.9–8.5322.1293.9–339.8
20903.30.8–9320.4295.5–341.7
20913.91–10.6325.4294.3–343.3
20923.91–10321.5294.4–342.4
20933.61–9.6323.1297.8–341.2
20943.90.6–9.2323.1296.5–341.1
20953.71.1–11.2325.6299.1–343.7
20963.91.1–10.7321.8296.2–344.1
209741.1–10.7321.5292.6–342
20983.71.1–10.2324.2295.1–342.8
20993.81.3–9.7322.8293.7–344.6
21004.11–11.5324.1292.1–344.1

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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