Burundi vs Madagascar

Burundi vs Madagascar: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 109.8 nights, or 4.85 times that in Burundi.

nights a year · CMIP6

Burundi vs Madagascar: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 138.3 nights in Madagascar, in the CMIP6 climate models’ median run. In 2014 the value was higher in Madagascar, by 109.8 nights, or 4.85 times that in Burundi.
BurundiMadagascarCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Madagascar 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 Madagascar at 198.5 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiMadagascar
201428.5138.3
201328.4138
201228.8138.3
201128.9136.8
201027.9134.2
200927.9133.5
200827.8132.3
200727.6133.1
200627.7131.6
200527.5130.3
200427.6133.5
200327.6131
200227.6131.8
200127.7131.7
200027.3127.4
199927.1128.4
199827.1128.6
199727.2125.3
199626.9121.8
199526.8123.3
199426.5121.8
199326.2116
199226.1116.6
199127124.9
199026.8126.2
198926.7124
198826.6123.8
198726.6122.8
198626.7123.8
198526.3120
198426.4118.6
198326.4116.5
198226.5121.8
198126.8122.1
198026.4120.3
197926.6120.7
197826.3119.3
197726.5119
197626.4117.4
197526.3116.5
197426.3119.5
197326.3119
197226.2117
197126.1116.3
197026.1117
196926.1116.3
196826113.1
196725.8113
196625.9114.1
196526.1112.2
196425.7109.6
196325.7109.7
196226.2115.3
196126.4118.5
196026.5118.2
195926.2119
195826.2118.7
195726.1117.6
195626.1115.5
195526.2116.6
195426.2115.9
195326.3116.4
195226.2117.4
195126.2116
195026.2116.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiMadagascar
201529.627–36142.8126.7–159.3
201628.826.7–32.5137.8122.2–156
20173027–33.7143.1125.6–159.4
201830.327.4–34.4143.7125.9–160.3
201929.727.4–33.7143.4124.4–162.3
202030.927.7–37.7143.4125.2–159
202130.627.8–37145.4128.8–160.4
202230.828.5–36.7150.4133.4–165.2
202330.528–36.7149.7132.1–166
202432.127.9–39150.7131.4–167.9
202531.527.1–38.7149128.8–169.1
202631.927.4–38.3150.1127.4–169.9
202731.427.9–37.9151.8131.9–170.8
202832.328.4–37.9154.9137.7–173.1
202933.229–38.9155.7135.2–173.8
203032.728.1–39.9154.8136.4–171.3
203133.930–40.9158.1141.3–174.8
203233.829.9–43.1157.9136.2–178.4
203334.129.6–43.1158.9136.7–177.8
203433.829.8–45.5158.6140.6–179.6
203535.228.9–43.2161.1140.2–181.6
203634.729.5–45.8159.5139.4–177.1
203736.830.3–48.2165.8144.7–182.8
203837.631.9–45.5166.5149.3–183.9
203936.929.5–47.7164.1145.1–183.9
20403630.7–49.3162.8144.5–184.8
204137.531.7–47.9165.8143.5–183.9
20423731.3–53.9165.1144.3–188.4
204336.829.7–48.4165.6148.5–184.7
204437.429.9–48.5167.3145.8–187
20453932–53.6166.9147.1–187.1
204642.631.9–57.3171.4149.6–193
204741.632.9–56.2171.7148.8–193.4
204843.232.5–57.9173.7151.7–193.6
204942.333.1–56.8172.2151.4–192.9
205043.331.4–55.8174.4150.5–193.6
205142.833–60175154.3–195.1
205244.333.2–62.1176153.8–196.7
205342.432.4–59.4176.6151.1–197.8
205444.532.8–68.5175.5152.8–199.2
205544.234.5–64.8179.2157.3–196.8
205644.132.4–63.2178.8156.5–199.7
205745.534.3–65.8177.7155.5–201
205848.132.4–69.9180.5158.9–202.4
205947.736.2–69.1181.8158.3–202.5
206049.734.6–73185.1159.5–207.8
206150.833.4–71.8180.6157.6–203.8
206249.534.2–78.1180.6157.1–205.6
206348.434.2–67.7185156.8–210.7
206452.134.6–70.5184.7159.1–205.7
206550.835.2–72.2183.8157.1–208.5
206651.336.5–72.8187.3159.6–211
206752.334.3–81.3184.9155.9–208.9
206851.335.2–81.5187.5161.7–211.1
206950.134–76187.5162–211.3
207050.835.4–83.9187.8160.4–213.6
207151.235.5–90.8190.7162.7–216.6
207253.338.9–80191.8168.2–215.8
207356.538.6–89191.4168.7–214.5
207453.736.7–82.1189.4162.6–217.7
207553.435–83189.3163.8–214.2
207658.636.5–90.7191.1164.3–214
207755.738.4–95.2191.9168.8–217.1
207855.938.6–89.1190.1166.5–219.3
207960.637.3–91.2190.1163.7–216.2
208061.638–89.4194.8167.7–219.4
208159.339.3–91.1191.7166.7–218.1
208261.139–95193.8169.2–216.7
208358.238.4–111.2194.6166.1–218.1
208465.239.6–104.5197.9170–219.7
208567.340.2–110.3197.8172.3–223.7
208661.340.8–104.5192.9169.6–220
208765.240.1–107.8195.2170.4–220.1
208866.340.9–101.4198.1165.1–225.5
208961.240.2–100.9196.3167.9–227.6
209059.540.9–115.5197.5172.4–228.1
209171.541.2–115.8199.2172.7–226.7
209264.742.1–120.7202.4170.7–226.6
209367.341.4–113.8202.1172.3–230.5
209467.342.1–115.2198.3168.6–224
209572.544.4–126.1200.7171.7–225.1
209665.841.2–122.9199.8173.6–226.3
209763.939.5–121.8201.2170–227.6
209868.640.3–128.1201.1170.7–227.2
209963.440.9–122.9198.3173.8–225.8
210067.441.2–126.5198.5173.3–227.7

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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