Rwanda vs Tanzania

Rwanda vs Tanzania: Tropical nights

Tropical nights in 2014: 2.4 nights in Rwanda and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 103.9 nights, or 45 times that in Rwanda.

nights a year · CMIP6

Rwanda vs Tanzania: Tropical nightsTropical nights in 2014: 2.4 nights in Rwanda and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 103.9 nights, or 45 times that in Rwanda.
RwandaTanzaniaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Tanzania 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 Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearRwandaTanzania
20142.4106.3
20132.8105.5
20122.9108.4
20112.7109
20102.3103.9
20092.5101.1
20082100.3
20071.999.5
20062.2100.4
2005298.7
20041.8100.4
20031.899.6
20022.498.4
20012.4101.5
20001.794.9
19991.694.2
19981.596.8
1997193.5
19961.189.6
19951.188.5
19941.285.4
19930.981.2
19920.680.1
19911.289.6
19901.791.1
19891.589.1
19881.287.6
19871.388.5
19861.289.4
19850.883
1984183.1
19830.982.1
19820.884.8
19811.188
19801.185
19790.985.5
19780.782.9
19771.184.1
19760.881
1975180.8
19740.982.2
19731.383.6
19720.781.4
19710.780.7
19700.681.8
19690.879.5
19680.879.1
19670.577.5
19660.678.1
19650.678
19640.473.8
19630.673.1
19620.981.1
19610.882.6
19601.183.9
19590.781.4
19580.982.1
19570.880.9
19560.780
19550.881.6
19540.981.4
19530.880.6
19520.881.4
1951182.1
19500.980.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearRwandaTanzania
20153.41.5–7.6114.895.2–137.4
20162.91.2–5.6108.391.6–125.6
20173.41.8–5.5114.893.6–137.8
20183.81.8–7.1116.497.4–137.1
20193.61.3–6.9113.495.2–133.2
20204.32.1–7.9119.396.2–143.5
20214.22.6–7.5119.5100.9–147.1
202242.9–7.8124.4105.3–147.4
20234.41.9–8.4122.1102.1–147.8
202452–9.6126.2100–150.1
20254.42.1–9.5124.6100.9–154
20264.81.7–8.9126.999.1–155.6
20274.92.1–8.7128102.9–147.7
20285.21.7–8.7129.9106.4–152.1
20295.43–9.2134.1111–156.5
20305.33.1–10.2129.4106.4–151.1
20316.63.4–10.4136.4115.9–158.4
20326.34–12.2135.1114–166.8
20336.52.8–12135.2110.9–161.9
20346.13.3–12.4134.7112.5–166.3
20356.83.2–12.7140.2114.6–165
20366.83.7–12.7137.8113.3–165.5
20377.94.3–14.6142.9121.5–168.9
20388.44.1–15.3147.9124.3–169.3
20397.23.6–15.9144.3117.6–171.3
20407.74.3–14.8140.5117–178
20418.44.7–15149.1121.7–175.6
20428.44.4–20.2146.3120.5–185.3
20437.83.8–16.5144.6117–173
20447.24.1–14.5147.7121.2–175.8
20459.24.6–21150.1125.2–183.4
2046124.6–24.1161.5128.6–192.2
204711.25.4–26160.2129.7–194.4
204811.74.6–25.4158.8132.7–193.1
204912.25.7–26.7157.6131.1–196
205011.75.4–22.9159.7127.8–192
205112.36.4–24163.2135.5–197.8
205214.56–26.1161.9136.2–199.1
205312.55–23.9160.6127.5–197.7
205412.85.6–34.3163.2131.5–200.2
205512.66.2–32.8167.4137–208.3
2056145.6–31.6166.4130.8–209.7
205714.96–32.3168134.6–208.3
205815.15.3–38.7168.7134.9–210.3
205914.96.7–38.1174.7144.9–219.5
206018.46.1–38.2181.7138.1–219.8
206116.65.9–40.7171.8135.5–218.1
206217.25.6–49.3177.5139.9–224
206316.46.3–39.1181.4140.1–213.8
206421.76.3–40.1185.3140.1–215.2
206517.17.2–40.5183.5141.1–221.8
206618.37.2–42.5181.9146.3–219.3
206716.86.3–50.2178.8138.8–229.2
206819.76.6–53.2186144.2–228.4
206917.66–55183.7141.7–225.3
207018.17.6–53.8180.7140.4–228.2
207119.36.3–60184.9146.9–235.2
207222.18.7–49.3191.3155–226.1
207324.39.2–61.7191.6152.4–235.6
207423.28.3–57.2183.3149.7–231.7
207521.86.3–53.9183.8144.8–233
207626.77–59.7191.1150.9–233.2
207724.19.1–64.8191.3152.6–238.2
207821.48.3–62.1189156.6–233.8
207926.47.8–64.8190.5147–237.3
208028.78.2–62.2197.3150.7–241.2
208125.79–66.4195.6153.4–237.4
208227.59.2–63.2194.5157.3–237.3
208331.68.7–87193.2151–249.8
208431.39.4–78.4201.1152.2–246.7
208535.29.2–79.6204.2162.3–252.3
2086299.7–76.5195156–248.7
208730.69.5–80196.7160.8–244.5
208832.59.4–76.8208.4154.7–246.9
208927.49.3–82.1201.3158.6–248.2
209025.911.4–96.6197.9160.7–253.6
209143.28.7–89.1210161.6–256
209233.910.5–89.6205.8158.3–253.6
209335.510.9–91207.2161.2–251.9
209434.79.4–91.6207.9161.3–250.6
209540.412.9–106.1214.2166.4–258.5
209635.99.8–99.9205.3159.8–257.4
209732.69.9–89.6206.6158.4–256.8
209835.69.8–105.9209.1161–258.3
209932.810.9–105.8208.5160.1–256
210034.211.1–102.5208158.6–258.6

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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