Burundi vs Cameroon

Burundi vs Cameroon: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 238.7 nights in Cameroon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 210.2 nights, or 8.37 times that in Burundi.

nights a year · CMIP6

Burundi vs Cameroon: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 238.7 nights in Cameroon, in the CMIP6 climate models’ median run. In 2014 the value was higher in Cameroon, by 210.2 nights, or 8.37 times that in Burundi.
BurundiCameroonCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Cameroon 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 Cameroon at 324.2 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiCameroon
201428.5238.7
201328.4236.7
201228.8242.2
201128.9237.6
201027.9230.4
200927.9226.6
200827.8223.1
200727.6222.1
200627.7220.1
200527.5216.1
200427.6217.6
200327.6221
200227.6215.5
200127.7223
200027.3210
199927.1200.5
199827.1203.5
199727.2202
199626.9190
199526.8187.3
199426.5183.1
199326.2165.2
199226.1156.7
199127192.6
199026.8200.7
198926.7187.5
198826.6185.8
198726.6182.7
198626.7188.9
198526.3173.2
198426.4172.9
198326.4165.5
198226.5176.3
198126.8182.6
198026.4173.6
197926.6175.8
197826.3172.8
197726.5175.7
197626.4164.5
197526.3159.5
197426.3166.8
197326.3170.4
197226.2165.2
197126.1161.3
197026.1164.4
196926.1160
196826157.8
196725.8147.9
196625.9156.5
196526.1151.6
196425.7143.1
196325.7145.9
196226.2171.8
196126.4167.2
196026.5176.2
195926.2166.5
195826.2169.2
195726.1168.2
195626.1160
195526.2163.7
195426.2167.6
195326.3168.2
195226.2165.7
195126.2172.8
195026.2162.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiCameroon
201529.627–36242.2196.9–270.8
201628.826.7–32.5237.7192.1–259.9
20173027–33.7245.8205.7–271.3
201830.327.4–34.4245.7208–270.5
201929.727.4–33.7243.7200.2–275.6
202030.927.7–37.7246.4210.4–278
202130.627.8–37255.2220.2–279.6
202230.828.5–36.7255.8221–285.7
202330.528–36.7254.5221.7–284.1
202432.127.9–39263225.8–286.8
202531.527.1–38.7257.3222.7–293.9
202631.927.4–38.3260.4211.9–292
202731.427.9–37.9258.5223.8–291.5
202832.328.4–37.9266.9235.5–294.7
202933.229–38.9269.9242.3–293.5
203032.728.1–39.9266.6229–293.5
203133.930–40.9273.2229.9–298.5
203233.829.9–43.1269.8240.6–296.2
203334.129.6–43.1271.8235.6–303.4
203433.829.8–45.5268.1239.2–299.1
203535.228.9–43.2277.5241.5–302.7
203634.729.5–45.8275.7235.1–301.3
203736.830.3–48.2283.5252.3–305.9
203837.631.9–45.5285.8258–307.9
203936.929.5–47.7280.9250.4–305.8
20403630.7–49.3279.5252.1–310.6
204137.531.7–47.9284.5254.6–309.9
20423731.3–53.9284.8253.6–313.2
204336.829.7–48.4281.2251.4–309.8
204437.429.9–48.5283.8244.4–312.3
20453932–53.6286.8253.7–311.4
204642.631.9–57.3296.1260.6–318.1
204741.632.9–56.2294.3260.7–316.6
204843.232.5–57.9297.3265.6–318.1
204942.333.1–56.8298.3267.8–318.1
205043.331.4–55.8296.9267.9–322.7
205142.833–60297.8266.7–319.9
205244.333.2–62.1298.7270.1–322.3
205342.432.4–59.4297.7261.3–321.7
205444.532.8–68.5301.2268.2–324.6
205544.234.5–64.8301.3276.5–324.3
205644.132.4–63.2302.1270.4–329.2
205745.534.3–65.8305.4277.7–327.4
205848.132.4–69.9302.6272.1–325.2
205947.736.2–69.1306.2279.6–330.1
206049.734.6–73306.1276.1–331.1
206150.833.4–71.8304.4267.2–329.7
206249.534.2–78.1307.6266.2–332.2
206348.434.2–67.7309.1272.5–328.8
206452.134.6–70.5308.5278.7–331
206550.835.2–72.2311.3284.1–329.6
206651.336.5–72.8311.9284–332.7
206752.334.3–81.3310.1271.7–335.6
206851.335.2–81.5312.9278.7–335
206950.134–76310.4278.4–333.4
207050.835.4–83.9309.8281.2–334.9
207151.235.5–90.8316.4282.3–336
207253.338.9–80315.4289.2–335.3
207356.538.6–89314282.6–339.5
207453.736.7–82.1311.7281.9–336.8
207553.435–83314.8285.3–335.3
207658.636.5–90.7315.2284.7–338.4
207755.738.4–95.2318.2289.7–341.4
207855.938.6–89.1315.8286.4–338.5
207960.637.3–91.2317.7287.8–337.5
208061.638–89.4321.5285.9–341.7
208159.339.3–91.1318.7290–339
208261.139–95316.2289–337.7
208358.238.4–111.2317.7288.2–341.6
208465.239.6–104.5318.5284.5–342.1
208567.340.2–110.3323.4294–342.7
208661.340.8–104.5319.5292.3–343
208765.240.1–107.8318292.7–342.5
208866.340.9–101.4320.4288.1–342
208961.240.2–100.9320.1289.6–340.7
209059.540.9–115.5322.4292.8–342.6
209171.541.2–115.8322.6289.9–345
209264.742.1–120.7324.9291.6–343.6
209367.341.4–113.8322.3299.7–342.6
209467.342.1–115.2324299.3–343.4
209572.544.4–126.1326.4300.2–346.4
209665.841.2–122.9322.1294.4–346.4
209763.939.5–121.8320.9287.4–342.5
209868.640.3–128.1323.1293.8–344.4
209963.440.9–122.9322.6295.7–344.2
210067.441.2–126.5324.2293.6–346.6

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

Burundi vs Cameroon

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