Rwanda vs Zimbabwe

Rwanda vs Zimbabwe: Tropical nights

Tropical nights in 2014: 2.4 nights in Rwanda and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Zimbabwe, by 74 nights, or 32 times that in Rwanda.

nights a year · CMIP6

Rwanda vs Zimbabwe: Tropical nightsTropical nights in 2014: 2.4 nights in Rwanda and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Zimbabwe, by 74 nights, or 32 times that in Rwanda.
RwandaZimbabweCMIP6 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 Rwanda at 34.2 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearRwandaZimbabwe
20142.476.4
20132.878.4
20122.975.9
20112.773.3
20102.371.5
20092.569.6
2008269.8
20071.969.3
20062.270.3
2005269.5
20041.871.8
20031.872.9
20022.471.3
20012.471.3
20001.767.4
19991.662.3
19981.566.3
1997162
19961.157.7
19951.158.9
19941.256.8
19930.950.1
19920.652.1
19911.258.7
19901.761.5
19891.560.4
19881.261.6
19871.357.3
19861.258.6
19850.854.1
1984154.6
19830.953.3
19820.853.7
19811.157
19801.157.3
19790.956.2
19780.753.1
19771.155.2
19760.851.2
1975153.6
19740.954.2
19731.353.9
19720.753.2
19710.751.1
19700.653.1
19690.853.3
19680.848.7
19670.548.7
19660.648.8
19650.648.6
19640.444.6
19630.647.4
19620.955.8
19610.851.6
19601.155.6
19590.753.6
19580.955.3
19570.853.2
19560.748.6
19550.854.4
19540.953
19530.851.8
19520.852.7
1951152.3
19500.951.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearRwandaZimbabwe
20153.41.5–7.679.463.5–98.5
20162.91.2–5.678.657.9–101.7
20173.41.8–5.581.263.3–98.5
20183.81.8–7.182.160.5–104.1
20193.61.3–6.982.863.9–102.3
20204.32.1–7.984.362.9–106.9
20214.22.6–7.582.564.7–102.7
202242.9–7.889.870.1–108.8
20234.41.9–8.490.672.5–110.7
202452–9.693.769.8–113.4
20254.42.1–9.58865.1–114.6
20264.81.7–8.989.767.8–113.9
20274.92.1–8.795.668.4–119.6
20285.21.7–8.793.371.4–115.7
20295.43–9.2100.277.2–120
20305.33.1–10.29671.6–115.3
20316.63.4–10.49874.9–119.8
20326.34–12.298.574.7–118.5
20336.52.8–1298.974–120.6
20346.13.3–12.4100.277.3–128.1
20356.83.2–12.7103.975.7–130.6
20366.83.7–12.7100.878–123
20377.94.3–14.610882.1–131.1
20388.44.1–15.3110.986.5–135
20397.23.6–15.9102.480.4–122.3
20407.74.3–14.8101.379.5–133.5
20418.44.7–15108.483.7–134.2
20428.44.4–20.2108.883.1–139.9
20437.83.8–16.5107.985.7–137.3
20447.24.1–14.5111.287–134.8
20459.24.6–21106.186.2–130.7
2046124.6–24.1112.386.4–139.1
204711.25.4–26119.692.1–145.9
204811.74.6–25.4116.888.4–143.9
204912.25.7–26.7119.290.4–146.2
205011.75.4–22.9122.794.1–148.6
205112.36.4–24122.4100.9–147.7
205214.56–26.1124.2101.3–152.8
205312.55–23.9121.689–146.9
205412.85.6–34.3123.993.9–150.8
205512.66.2–32.8126.597.9–153.7
2056145.6–31.6126.198–154.7
205714.96–32.3122.797.6–150.7
205815.15.3–38.7125.3103–154.1
205914.96.7–38.1132.2107.4–157.4
206018.46.1–38.2132.599.9–159
206116.65.9–40.7126.694.2–161.1
206217.25.6–49.3126.399.6–157.3
206316.46.3–39.1127.7101–159.7
206421.76.3–40.1130.498–151.3
206517.17.2–40.5132.4107.6–165.6
206618.37.2–42.5134.5106.8–159.8
206716.86.3–50.2125.598.9–160.5
206819.76.6–53.2134102.3–166.1
206917.66–55136.9106.4–164.2
207018.17.6–53.8133.199.8–166.3
207119.36.3–60135.2108.4–173.7
207222.18.7–49.3140.4110.6–166.8
207324.39.2–61.7140.9109.7–173.6
207423.28.3–57.2135.5112–170.6
207521.86.3–53.9136108.5–166.6
207626.77–59.7133.7105.9–163.7
207724.19.1–64.8140.2114.3–170.6
207821.48.3–62.1137.5111.3–172.3
207926.47.8–64.8136.9110.2–172.6
208028.78.2–62.2145115.8–173.2
208125.79–66.4147.2106.5–174.1
208227.59.2–63.2141.4111.4–169.9
208331.68.7–87143.6106.5–179.2
208431.39.4–78.4149.4117.3–176.9
208535.29.2–79.6154.3114.9–182.7
2086299.7–76.5141.7115.3–176.1
208730.69.5–80142.7116.8–177.3
208832.59.4–76.8150.2118.3–178.9
208927.49.3–82.1148.9121.3–176.4
209025.911.4–96.6145.7113.7–179.4
209143.28.7–89.1149.7116.5–181.8
209233.910.5–89.6149.4119.7–181.7
209335.510.9–91152.5117.1–184.1
209434.79.4–91.6150.9117.3–182.2
209540.412.9–106.1155118.3–181.5
209635.99.8–99.9152.4113.1–189.2
209732.69.9–89.6144.1113.8–183.3
209835.69.8–105.9152.4119.2–187
209932.810.9–105.8152.9117.3–185
210034.211.1–102.5148.3120.1–184.6

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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