Burundi vs Congo - Kinshasa

Burundi vs Congo - Kinshasa: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 220 nights, or 8.72 times that in Burundi.

nights a year · CMIP6

Burundi vs Congo - Kinshasa: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 248.5 nights in Congo - Kinshasa, in the CMIP6 climate models’ median run. In 2014 the value was higher in Congo - Kinshasa, by 220 nights, or 8.72 times that in Burundi.
BurundiCongo - 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 Burundi at 67.4 nights and Congo - Kinshasa at 324.1 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiCongo - Kinshasa
201428.5248.5
201328.4249.2
201228.8250.9
201128.9248.7
201027.9243.5
200927.9243
200827.8239.7
200727.6237.7
200627.7239
200527.5237.3
200427.6238.5
200327.6239.3
200227.6236.5
200127.7242.5
200027.3233.5
199927.1226.2
199827.1230.6
199727.2226.6
199626.9218.6
199526.8217.2
199426.5211.9
199326.2201.5
199226.1197.6
199127220.1
199026.8225.4
198926.7218.4
198826.6216.7
198726.6216.6
198626.7216.8
198526.3206.1
198426.4205.9
198326.4204.3
198226.5204.5
198126.8215.2
198026.4211.4
197926.6208.5
197826.3202.6
197726.5206.5
197626.4201.9
197526.3199
197426.3204
197326.3208.4
197226.2202.5
197126.1196.3
197026.1201.7
196926.1197.3
196826199
196725.8188.8
196625.9194.7
196526.1189
196425.7177.3
196325.7178.5
196226.2203.2
196126.4203.9
196026.5209.8
195926.2203.3
195826.2204.3
195726.1204
195626.1197.6
195526.2200.5
195426.2201
195326.3204.6
195226.2201.9
195126.2204.8
195026.2200.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiCongo - Kinshasa
201529.627–36256.6217.3–277.7
201628.826.7–32.5247.7213.3–269.3
20173027–33.7257.4226.6–278.3
201830.327.4–34.4258.8228.1–276.8
201929.727.4–33.7255.8222.6–278.7
202030.927.7–37.7259.4227.4–282.3
202130.627.8–37262.6234.7–283.8
202230.828.5–36.7264.8235.1–288.5
202330.528–36.7263.9236.8–287.2
202432.127.9–39270.9237.9–290
202531.527.1–38.7266.1230.6–292.2
202631.927.4–38.3267.4226.8–294.5
202731.427.9–37.9268.6230.6–293.6
202832.328.4–37.9271.7239.7–295.9
202933.229–38.9275.9249.3–296.6
203032.728.1–39.9270.4241.7–296.1
203133.930–40.9279.4246.6–297.5
203233.829.9–43.1277.9249.4–302.3
203334.129.6–43.1276.9245.9–301.6
203433.829.8–45.5276.7247.4–305.6
203535.228.9–43.2281243.7–305.1
203634.729.5–45.8278.3244.7–304.9
203736.830.3–48.2286.9256.1–308.6
203837.631.9–45.5289261.5–307.1
203936.929.5–47.7284.7253.4–307.3
20403630.7–49.3284.5254.7–311.5
204137.531.7–47.9289.9258.4–310.8
20423731.3–53.9286.9254.1–314.3
204336.829.7–48.4285.9253–313
204437.429.9–48.5288.3253.6–312.5
20453932–53.6289.4260.1–314.1
204642.631.9–57.3298.3261.3–317.3
204741.632.9–56.2298.5268.2–317.8
204843.232.5–57.9299.1268–320.8
204942.333.1–56.8300.3269.6–320.4
205043.331.4–55.8297.8267.2–320.6
205142.833–60298.4272.3–323.1
205244.333.2–62.1300.2271.5–324
205342.432.4–59.4298.7265.5–322.6
205444.532.8–68.5300.6269.6–322.8
205544.234.5–64.8301.9274.9–325.6
205644.132.4–63.2302.1266.2–328.3
205745.534.3–65.8305.1274.4–326.5
205848.132.4–69.9305.3274.1–327.1
205947.736.2–69.1305.4279–329.6
206049.734.6–73310.7273.5–330.2
206150.833.4–71.8307266.1–329.8
206249.534.2–78.1308.8269.1–332
206348.434.2–67.7308.4277.6–328.4
206452.134.6–70.5310.6278.4–329.6
206550.835.2–72.2311.9282.4–331.2
206651.336.5–72.8310.4284.2–330.3
206752.334.3–81.3308.8275.9–334
206851.335.2–81.5313.9280.8–334.6
206950.134–76312.1270.6–332.7
207050.835.4–83.9309.6278–334
207151.235.5–90.8312.6285–336.5
207253.338.9–80317287.7–334.6
207356.538.6–89316.2291.2–337.1
207453.736.7–82.1311.6284.5–334.9
207553.435–83312.3279.3–335.2
207658.636.5–90.7315.9288.7–337.1
207755.738.4–95.2318.5292.6–338.2
207855.938.6–89.1315287.3–337.1
207960.637.3–91.2314.8286.3–336
208061.638–89.4318.5286.8–337.8
208159.339.3–91.1318.4287.8–336.7
208261.139–95318.7289.8–336.5
208358.238.4–111.2317.4290.6–340.9
208465.239.6–104.5321.6293.8–339.8
208567.340.2–110.3324.4294.3–341.4
208661.340.8–104.5319290.7–340.7
208765.240.1–107.8318.3291.9–339.6
208866.340.9–101.4320.9292.9–340
208961.240.2–100.9322.1293.9–339.8
209059.540.9–115.5320.4295.5–341.7
209171.541.2–115.8325.4294.3–343.3
209264.742.1–120.7321.5294.4–342.4
209367.341.4–113.8323.1297.8–341.2
209467.342.1–115.2323.1296.5–341.1
209572.544.4–126.1325.6299.1–343.7
209665.841.2–122.9321.8296.2–344.1
209763.939.5–121.8321.5292.6–342
209868.640.3–128.1324.2295.1–342.8
209963.440.9–122.9322.8293.7–344.6
210067.441.2–126.5324.1292.1–344.1

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

Burundi vs Congo - Kinshasa

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