Burundi vs Nigeria

Burundi vs Nigeria: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 275.4 nights, or 11 times that in Burundi.

nights a year · CMIP6

Burundi vs Nigeria: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 303.9 nights in Nigeria, in the CMIP6 climate models’ median run. In 2014 the value was higher in Nigeria, by 275.4 nights, or 11 times that in Burundi.
BurundiNigeriaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Nigeria 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 Nigeria at 332.3 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiNigeria
201428.5303.9
201328.4299.5
201228.8304.4
201128.9301.5
201027.9301.4
200927.9297.8
200827.8297.4
200727.6298
200627.7297.2
200527.5295.4
200427.6294.1
200327.6298.4
200227.6295.2
200127.7299.1
200027.3293.9
199927.1290.3
199827.1289.9
199727.2292.5
199626.9290
199526.8289.1
199426.5287.4
199326.2284
199226.1281.6
199127289.1
199026.8290.6
198926.7287.2
198826.6288
198726.6285.6
198626.7289.1
198526.3284.2
198426.4284.4
198326.4281.9
198226.5283.5
198126.8286.4
198026.4282.8
197926.6283
197826.3282.8
197726.5285.9
197626.4281.7
197526.3280.4
197426.3280.7
197326.3284.3
197226.2284.1
197126.1279.3
197026.1282
196926.1278.7
196826279.6
196725.8278.1
196625.9279.4
196526.1279
196425.7276.8
196325.7275.1
196226.2284.1
196126.4281.9
196026.5285.9
195926.2282.8
195826.2281.4
195726.1283.3
195626.1280.8
195526.2280.4
195426.2284.1
195326.3280.4
195226.2280.8
195126.2284.2
195026.2279.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiNigeria
201529.627–36301.7282.9–317.3
201628.826.7–32.5301.4280.8–312.5
20173027–33.7302.5284.3–316.3
201830.327.4–34.4302.2286.8–316.5
201929.727.4–33.7300.1281.2–318
202030.927.7–37.7303283.7–318.5
202130.627.8–37305.1287.1–318.4
202230.828.5–36.7305.1286–319.5
202330.528–36.7305286.4–318.9
202432.127.9–39310.6295.1–321.5
202531.527.1–38.7307.5292–319.4
202631.927.4–38.3306.9286.1–322.9
202731.427.9–37.9307.4288–321.7
202832.328.4–37.9310.7293.4–322.6
202933.229–38.9311.4293.3–324.4
203032.728.1–39.9310.6294.1–322.5
203133.930–40.9312.2295–324.8
203233.829.9–43.1310290–323.5
203334.129.6–43.1313292.9–327
203433.829.8–45.5311.7294.8–325.1
203535.228.9–43.2314.5296.7–327.7
203634.729.5–45.8313.5294.1–326.5
203736.830.3–48.2315.6297.9–327.1
203837.631.9–45.5316.9301.2–329.6
203936.929.5–47.7315.4299.4–328.2
20403630.7–49.3315.6297.9–327.4
204137.531.7–47.9316.8300.6–330.2
20423731.3–53.9316.3300.3–330.3
204336.829.7–48.4316298.4–326
204437.429.9–48.5317.9299.5–329.6
20453932–53.6316.6300.5–330.4
204642.631.9–57.3317.8302.2–330.7
204741.632.9–56.2319.8301.5–333
204843.232.5–57.9320.1302.4–331.7
204942.333.1–56.8320.7305.3–331.7
205043.331.4–55.8320.9304–335
205142.833–60321304.1–334.2
205244.333.2–62.1320.9303.9–333.5
205342.432.4–59.4320.9303.3–334.1
205444.532.8–68.5324.5304.5–338.2
205544.234.5–64.8322.2308.4–333.7
205644.132.4–63.2324.8305.8–336.3
205745.534.3–65.8326310.8–337.3
205848.132.4–69.9322.9307.4–334.2
205947.736.2–69.1325.7308.9–339
206049.734.6–73323.8307.5–337
206150.833.4–71.8324.4307.1–338.2
206249.534.2–78.1325.7308–339.3
206348.434.2–67.7326.6308.7–337
206452.134.6–70.5326.2311–339.8
206550.835.2–72.2327.6313.5–339.4
206651.336.5–72.8328.4311.3–339.6
206752.334.3–81.3326308.4–340.5
206851.335.2–81.5329.3311.2–342.9
206950.134–76326.6309.9–338.1
207050.835.4–83.9327.4312.6–340.7
207151.235.5–90.8329.1313–341.1
207253.338.9–80330.3315.9–342.1
207356.538.6–89326.3309.5–341
207453.736.7–82.1326.7311.4–341.4
207553.435–83328.9314.5–341.8
207658.636.5–90.7329.6313.4–342
207755.738.4–95.2332.5314.4–343.3
207855.938.6–89.1329.8312.8–342.1
207960.637.3–91.2329.6313.8–340.6
208061.638–89.4331.7314.1–344.8
208159.339.3–91.1329.3311.6–343.7
208261.139–95329.3313.3–341.4
208358.238.4–111.2330.4315–342.2
208465.239.6–104.5330.5311.9–344.2
208567.340.2–110.3332.7316.6–343.6
208661.340.8–104.5331.9316.3–343.6
208765.240.1–107.8330.7314.9–342.4
208866.340.9–101.4331.7313.2–342.7
208961.240.2–100.9331.1318.3–341.9
209059.540.9–115.5332.4312.7–343.9
209171.541.2–115.8333.3311–345.8
209264.742.1–120.7332.7313.8–345.7
209367.341.4–113.8334.2318.6–344.9
209467.342.1–115.2334.2317.3–345.6
209572.544.4–126.1333.8319.3–346.3
209665.841.2–122.9332.5317.4–346.7
209763.939.5–121.8331.8312.6–344.6
209868.640.3–128.1332.3316–343.7
209963.440.9–122.9333316.9–344.2
210067.441.2–126.5332.3318.5–345

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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