Burundi vs Zimbabwe

Burundi vs Zimbabwe: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Zimbabwe, by 47.9 nights, or 2.68 times that in Burundi.

nights a year · CMIP6

Burundi vs Zimbabwe: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Zimbabwe, by 47.9 nights, or 2.68 times that in Burundi.
BurundiZimbabweCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Zimbabwe 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 Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiZimbabwe
201428.576.4
201328.478.4
201228.875.9
201128.973.3
201027.971.5
200927.969.6
200827.869.8
200727.669.3
200627.770.3
200527.569.5
200427.671.8
200327.672.9
200227.671.3
200127.771.3
200027.367.4
199927.162.3
199827.166.3
199727.262
199626.957.7
199526.858.9
199426.556.8
199326.250.1
199226.152.1
19912758.7
199026.861.5
198926.760.4
198826.661.6
198726.657.3
198626.758.6
198526.354.1
198426.454.6
198326.453.3
198226.553.7
198126.857
198026.457.3
197926.656.2
197826.353.1
197726.555.2
197626.451.2
197526.353.6
197426.354.2
197326.353.9
197226.253.2
197126.151.1
197026.153.1
196926.153.3
19682648.7
196725.848.7
196625.948.8
196526.148.6
196425.744.6
196325.747.4
196226.255.8
196126.451.6
196026.555.6
195926.253.6
195826.255.3
195726.153.2
195626.148.6
195526.254.4
195426.253
195326.351.8
195226.252.7
195126.252.3
195026.251.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiZimbabwe
201529.627–3679.463.5–98.5
201628.826.7–32.578.657.9–101.7
20173027–33.781.263.3–98.5
201830.327.4–34.482.160.5–104.1
201929.727.4–33.782.863.9–102.3
202030.927.7–37.784.362.9–106.9
202130.627.8–3782.564.7–102.7
202230.828.5–36.789.870.1–108.8
202330.528–36.790.672.5–110.7
202432.127.9–3993.769.8–113.4
202531.527.1–38.78865.1–114.6
202631.927.4–38.389.767.8–113.9
202731.427.9–37.995.668.4–119.6
202832.328.4–37.993.371.4–115.7
202933.229–38.9100.277.2–120
203032.728.1–39.99671.6–115.3
203133.930–40.99874.9–119.8
203233.829.9–43.198.574.7–118.5
203334.129.6–43.198.974–120.6
203433.829.8–45.5100.277.3–128.1
203535.228.9–43.2103.975.7–130.6
203634.729.5–45.8100.878–123
203736.830.3–48.210882.1–131.1
203837.631.9–45.5110.986.5–135
203936.929.5–47.7102.480.4–122.3
20403630.7–49.3101.379.5–133.5
204137.531.7–47.9108.483.7–134.2
20423731.3–53.9108.883.1–139.9
204336.829.7–48.4107.985.7–137.3
204437.429.9–48.5111.287–134.8
20453932–53.6106.186.2–130.7
204642.631.9–57.3112.386.4–139.1
204741.632.9–56.2119.692.1–145.9
204843.232.5–57.9116.888.4–143.9
204942.333.1–56.8119.290.4–146.2
205043.331.4–55.8122.794.1–148.6
205142.833–60122.4100.9–147.7
205244.333.2–62.1124.2101.3–152.8
205342.432.4–59.4121.689–146.9
205444.532.8–68.5123.993.9–150.8
205544.234.5–64.8126.597.9–153.7
205644.132.4–63.2126.198–154.7
205745.534.3–65.8122.797.6–150.7
205848.132.4–69.9125.3103–154.1
205947.736.2–69.1132.2107.4–157.4
206049.734.6–73132.599.9–159
206150.833.4–71.8126.694.2–161.1
206249.534.2–78.1126.399.6–157.3
206348.434.2–67.7127.7101–159.7
206452.134.6–70.5130.498–151.3
206550.835.2–72.2132.4107.6–165.6
206651.336.5–72.8134.5106.8–159.8
206752.334.3–81.3125.598.9–160.5
206851.335.2–81.5134102.3–166.1
206950.134–76136.9106.4–164.2
207050.835.4–83.9133.199.8–166.3
207151.235.5–90.8135.2108.4–173.7
207253.338.9–80140.4110.6–166.8
207356.538.6–89140.9109.7–173.6
207453.736.7–82.1135.5112–170.6
207553.435–83136108.5–166.6
207658.636.5–90.7133.7105.9–163.7
207755.738.4–95.2140.2114.3–170.6
207855.938.6–89.1137.5111.3–172.3
207960.637.3–91.2136.9110.2–172.6
208061.638–89.4145115.8–173.2
208159.339.3–91.1147.2106.5–174.1
208261.139–95141.4111.4–169.9
208358.238.4–111.2143.6106.5–179.2
208465.239.6–104.5149.4117.3–176.9
208567.340.2–110.3154.3114.9–182.7
208661.340.8–104.5141.7115.3–176.1
208765.240.1–107.8142.7116.8–177.3
208866.340.9–101.4150.2118.3–178.9
208961.240.2–100.9148.9121.3–176.4
209059.540.9–115.5145.7113.7–179.4
209171.541.2–115.8149.7116.5–181.8
209264.742.1–120.7149.4119.7–181.7
209367.341.4–113.8152.5117.1–184.1
209467.342.1–115.2150.9117.3–182.2
209572.544.4–126.1155118.3–181.5
209665.841.2–122.9152.4113.1–189.2
209763.939.5–121.8144.1113.8–183.3
209868.640.3–128.1152.4119.2–187
209963.440.9–122.9152.9117.3–185
210067.441.2–126.5148.3120.1–184.6

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

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