Burundi vs Kenya

Burundi vs Kenya: Tropical nights

Tropical nights in 2014: 28.5 nights in Burundi and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 217.1 nights, or 8.61 times that in Burundi.

nights a year · CMIP6

Burundi vs Kenya: Tropical nightsTropical nights in 2014: 28.5 nights in Burundi and 245.6 nights in Kenya, in the CMIP6 climate models’ median run. In 2014 the value was higher in Kenya, by 217.1 nights, or 8.61 times that in Burundi.
BurundiKenyaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Kenya 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 Kenya at 277 nights in 2100.

Every year

nights a year · CMIP6

YearBurundiKenya
201428.5245.6
201328.4245.4
201228.8244.7
201128.9245
201027.9243.8
200927.9242.3
200827.8240.3
200727.6240.9
200627.7241.5
200527.5241.2
200427.6241.8
200327.6240.8
200227.6240.7
200127.7242
200027.3239.5
199927.1237.8
199827.1239.2
199727.2236.9
199626.9234.2
199526.8232.9
199426.5231.9
199326.2227.4
199226.1224.8
199127233.8
199026.8236.4
198926.7234.5
198826.6233.1
198726.6232.6
198626.7233
198526.3228.7
198426.4230.2
198326.4226.7
198226.5230.6
198126.8232.9
198026.4231.3
197926.6229.6
197826.3228.7
197726.5229.9
197626.4227.8
197526.3225.9
197426.3230.5
197326.3230.4
197226.2228.7
197126.1226
197026.1226.3
196926.1225.9
196826222.9
196725.8224
196625.9225.2
196526.1224.2
196425.7221.8
196325.7220.2
196226.2227.2
196126.4228.3
196026.5228.8
195926.2228.3
195826.2229.1
195726.1228
195626.1225.5
195526.2228.7
195426.2227.4
195326.3227.6
195226.2228.5
195126.2228.3
195026.2226.3
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearBurundiKenya
201529.627–36246.9232.3–256.1
201628.826.7–32.5244.9230.1–255
20173027–33.7248.1233.1–257.7
201830.327.4–34.4248.7237–257.4
201929.727.4–33.7247.1234.8–256.7
202030.927.7–37.7248.6233.2–259.2
202130.627.8–37249.5236.3–258.1
202230.828.5–36.7251.5239.7–259.5
202330.528–36.7251.8239–260.8
202432.127.9–39254.2239.1–263
202531.527.1–38.7251.5238.1–261.8
202631.927.4–38.3252.2237.2–263.3
202731.427.9–37.9252.8238.4–263.8
202832.328.4–37.9254.9241.9–264.2
202933.229–38.9256243.4–264.6
203032.728.1–39.9253.6240.6–263.1
203133.930–40.9256244.7–264.4
203233.829.9–43.1257243.8–267.1
203334.129.6–43.1256241.8–265.9
203433.829.8–45.5256.2241.2–267.9
203535.228.9–43.2256.7243.3–266.7
203634.729.5–45.8256.2242.4–266.7
203736.830.3–48.2258.7245.9–268.4
203837.631.9–45.5260.3244.5–268.9
203936.929.5–47.7259244.4–268
20403630.7–49.3258.3246.2–269.8
204137.531.7–47.9260.7244.8–271.2
20423731.3–53.9260.3246.5–272.7
204336.829.7–48.4259246.6–270.5
204437.429.9–48.5261.2248.8–270.9
20453932–53.6261.8248.7–272.9
204642.631.9–57.3264.8249.6–275.3
204741.632.9–56.2264.4249.8–275.3
204843.232.5–57.9264.2252.3–274.9
204942.333.1–56.8265.2252.8–275.6
205043.331.4–55.8263.9249.8–275.1
205142.833–60265.4252.1–275.1
205244.333.2–62.1266.3252.6–276.2
205342.432.4–59.4265.2251–275.4
205444.532.8–68.5265.2250.2–277.2
205544.234.5–64.8266.8251.6–277.6
205644.132.4–63.2266.2251.2–277.8
205745.534.3–65.8266.8253–278
205848.132.4–69.9266.7251.5–277.9
205947.736.2–69.1269.8254.7–280.5
206049.734.6–73271.1253.9–280.7
206150.833.4–71.8267.5253.9–281.7
206249.534.2–78.1268.1254–281.2
206348.434.2–67.7268.9255–280.1
206452.134.6–70.5270254.1–279.8
206550.835.2–72.2269.4255.8–282.3
206651.336.5–72.8270.6258.1–281
206752.334.3–81.3270.7256.1–283
206851.335.2–81.5270.2256–283
206950.134–76269.8256.1–283.3
207050.835.4–83.9270.1255.8–282.6
207151.235.5–90.8271.9257.9–284.4
207253.338.9–80273.5260.3–283.8
207356.538.6–89273.1259.9–285.4
207453.736.7–82.1271.9257.5–285.4
207553.435–83271.1256.5–284.7
207658.636.5–90.7274.1258.6–285.8
207755.738.4–95.2273.4259–286.6
207855.938.6–89.1273.1260–284.4
207960.637.3–91.2273.3258.7–286.6
208061.638–89.4275.5259.4–286.9
208159.339.3–91.1274.7259.8–285.6
208261.139–95274.8261.3–286.4
208358.238.4–111.2274259.6–289.3
208465.239.6–104.5276.8259–288.8
208567.340.2–110.3276.2261.5–289.1
208661.340.8–104.5275.1260–289.1
208765.240.1–107.8276.2260.3–288.5
208866.340.9–101.4276.8261.6–289.7
208961.240.2–100.9275.9260.3–288.8
209059.540.9–115.5275.3260.5–290.5
209171.541.2–115.8277.7260.4–290.9
209264.742.1–120.7276.2261.2–290.7
209367.341.4–113.8276.9262–290.1
209467.342.1–115.2277262.8–288.9
209572.544.4–126.1278.4262.3–290.4
209665.841.2–122.9277.6260.5–292
209763.939.5–121.8277261–290.2
209868.640.3–128.1277.6262.3–291.5
209963.440.9–122.9277.9260.8–292.4
210067.441.2–126.5277261.8–290.4

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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