Burundi vs Chad

Burundi vs Chad: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 237.6 nights in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 209.1 nights, or 8.33 times that in Burundi.

nights a year · CMIP6

Burundi vs Chad: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 237.6 nights in Chad, in the CMIP6 climate models’ median run. In 2014 the value was higher in Chad, by 209.1 nights, or 8.33 times that in Burundi.
BurundiChadCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Chad 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 Chad at 273.4 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiChad
201428.5237.6
201328.4231.8
201228.8237.9
201128.9236.2
201027.9234.8
200927.9231.5
200827.8230.8
200727.6229.6
200627.7229.5
200527.5228.8
200427.6228
200327.6230.9
200227.6229.8
200127.7230.2
200027.3226.4
199927.1225.1
199827.1222.9
199727.2226.3
199626.9222.4
199526.8222.3
199426.5221.4
199326.2215.6
199226.1214.4
199127223
199026.8222.8
198926.7220
198826.6219.9
198726.6218.4
198626.7222.6
198526.3218
198426.4216.1
198326.4213.7
198226.5214.8
198126.8218.1
198026.4215
197926.6214.5
197826.3216
197726.5216.2
197626.4215.7
197526.3212.2
197426.3213.8
197326.3216.9
197226.2215.2
197126.1212.6
197026.1214.3
196926.1210.3
196826212.8
196725.8209.1
196625.9210.8
196526.1210.3
196425.7210.6
196325.7207.5
196226.2214.7
196126.4212.3
196026.5217.3
195926.2212.5
195826.2213.8
195726.1214
195626.1213.4
195526.2213.8
195426.2214.3
195326.3211.3
195226.2213.1
195126.2213.8
195026.2213.1
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiChad
201529.627–36235.8215.6–253.1
201628.826.7–32.5233.3212.8–247.7
20173027–33.7237.6218.6–253.1
201830.327.4–34.4235.8217.8–254.4
201929.727.4–33.7235.2213.3–255.6
202030.927.7–37.7237217.1–255
202130.627.8–37239.6220–258.2
202230.828.5–36.7240.4223.1–258.2
202330.528–36.7239.1216.7–256.4
202432.127.9–39246.7227.6–261.2
202531.527.1–38.7243.2223.9–259.4
202631.927.4–38.3242.9220.8–260.9
202731.427.9–37.9242.3221.2–258.6
202832.328.4–37.9242.7225.4–259.7
202933.229–38.9246.3227.2–264.1
203032.728.1–39.9244.7225.8–261.1
203133.930–40.9246.8224.7–264.8
203233.829.9–43.1244.3226.5–260.2
203334.129.6–43.1247.6228.7–266.1
203433.829.8–45.5247.8224.9–263.9
203535.228.9–43.2250.9230.3–268.9
203634.729.5–45.8246.7226.3–264.1
203736.830.3–48.2249.9230.3–266.2
203837.631.9–45.5252.4233.4–268.7
203936.929.5–47.7250230.8–267.5
20403630.7–49.3248.9227–266.8
204137.531.7–47.9252230–270.9
20423731.3–53.9250.4232–271.8
204336.829.7–48.4251.1232–265.5
204437.429.9–48.5251.4230.2–271.3
20453932–53.6252.3230.8–270.2
204642.631.9–57.3253.6231.9–272.3
204741.632.9–56.2254.6236.7–274.4
204843.232.5–57.9254.4236.6–273.6
204942.333.1–56.8256235.4–272
205043.331.4–55.8255.9234.4–276.1
205142.833–60256.1237.8–275.9
205244.333.2–62.1258.3237.1–273.9
205342.432.4–59.4255.9234.9–275
205444.532.8–68.5260.6233–279.6
205544.234.5–64.8259.9239.1–276.6
205644.132.4–63.2259.4233.3–279
205745.534.3–65.8262.5240.8–278.4
205848.132.4–69.9259.3239.2–275.5
205947.736.2–69.1263.7240.5–282.9
206049.734.6–73259.3239.3–280
206150.833.4–71.8261.1240.7–281.2
206249.534.2–78.1261.4238.1–281.4
206348.434.2–67.7263.4239.6–278.6
206452.134.6–70.5263.9244.3–283.2
206550.835.2–72.2263.7247.7–283.1
206651.336.5–72.8265.2245.7–285.6
206752.334.3–81.3262.5242.8–283.8
206851.335.2–81.5266.8241.4–286.3
206950.134–76262.7242.8–283.1
207050.835.4–83.9264.9243.5–284.9
207151.235.5–90.8267.9248.5–286
207253.338.9–80269.2246.8–285.6
207356.538.6–89263.7241.6–284.2
207453.736.7–82.1264239.7–285.1
207553.435–83266.5246.7–287
207658.636.5–90.7267.8245.8–285.7
207755.738.4–95.2269.5247.1–290.8
207855.938.6–89.1268.6247.9–286.4
207960.637.3–91.2266.4247.9–286.3
208061.638–89.4269.4249.6–289.4
208159.339.3–91.1267.4247.1–291.8
208261.139–95266.7249.2–286.8
208358.238.4–111.2269.8248.9–287.6
208465.239.6–104.5268.4243.4–289.7
208567.340.2–110.3270.8251.2–287.4
208661.340.8–104.5270.6249.6–291.5
208765.240.1–107.8266.3246.2–289.2
208866.340.9–101.4269.2245.6–290.7
208961.240.2–100.9270.4251.1–289
209059.540.9–115.5270.9245.5–291.1
209171.541.2–115.8271.3246.1–293.5
209264.742.1–120.7270.6248.3–291.9
209367.341.4–113.8272.4254.3–289.2
209467.342.1–115.2274254.8–290.2
209572.544.4–126.1273.5251.8–291.6
209665.841.2–122.9273.9252.1–292.5
209763.939.5–121.8270.8246–292.1
209868.640.3–128.1271.1248.3–290.6
209963.440.9–122.9271.8250.5–291.1
210067.441.2–126.5273.4254–291.9

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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