South Africa vs Zimbabwe

South Africa vs Zimbabwe: Tropical nights

Tropical nights in 2014: 27.1 nights in South Africa and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Zimbabwe, by 49.3 nights, or 2.82 times that in South Africa.

nights a year · CMIP6

South Africa vs Zimbabwe: Tropical nightsTropical nights in 2014: 27.1 nights in South Africa and 76.4 nights in Zimbabwe, in the CMIP6 climate models’ median run. In 2014 the value was higher in Zimbabwe, by 49.3 nights, or 2.82 times that in South Africa.
South AfricaZimbabweCMIP6 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 South Africa at 58.7 nights and Zimbabwe at 148.3 nights in 2100.

Every year

nights a year · CMIP6

YearSouth AfricaZimbabwe
201427.176.4
201328.378.4
201227.975.9
201126.173.3
20102671.5
200925.869.6
200824.869.8
200724.769.3
200625.570.3
200525.369.5
200425.871.8
200325.172.9
20022571.3
200124.571.3
200023.367.4
19992362.3
199823.466.3
199722.562
199620.457.7
199519.358.9
19942056.8
199318.150.1
199218.152.1
199122.358.7
199022.761.5
19892260.4
198821.261.6
198721.957.3
19862158.6
198518.954.1
19842054.6
19831953.3
198220.353.7
19812057
198021.257.3
197919.956.2
197819.853.1
197719.255.2
197619.251.2
197518.853.6
197419.754.2
197319.653.9
19721953.2
197119.151.1
197018.653.1
196918.753.3
196817.848.7
196717.548.7
196617.848.8
196517.248.6
196414.944.6
196316.547.4
196219.655.8
196119.751.6
196019.855.6
195918.553.6
195819.355.3
195719.453.2
19561848.6
195519.554.4
195418.453
195318.451.8
195219.352.7
195118.952.3
195018.151.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth AfricaZimbabwe
201528.620–39.579.463.5–98.5
201626.817.8–37.978.657.9–101.7
201728.919.6–37.881.263.3–98.5
201829.620.6–40.682.160.5–104.1
201929.820.8–41.582.863.9–102.3
202029.518.9–39.184.362.9–106.9
202131.121.4–42.982.564.7–102.7
20223223.7–43.189.870.1–108.8
202331.922.9–41.890.672.5–110.7
20243324–45.693.769.8–113.4
202531.920.7–44.58865.1–114.6
202634.521.9–46.989.767.8–113.9
202734.423–47.795.668.4–119.6
202833.522.9–4693.371.4–115.7
202936.226.5–48.3100.277.2–120
203036.124.9–499671.6–115.3
203136.324.5–50.39874.9–119.8
203236.424.5–49.298.574.7–118.5
203336.924.5–48.398.974–120.6
203437.626.4–51.8100.277.3–128.1
203537.625.2–49.5103.975.7–130.6
20363826.5–50.5100.878–123
203739.928.2–53.410882.1–131.1
203841.528.4–54.2110.986.5–135
203939.227–52.9102.480.4–122.3
204038.125.6–55.6101.379.5–133.5
204140.227.4–54.3108.483.7–134.2
20424229–56.4108.883.1–139.9
204342.128.2–58.4107.985.7–137.3
204441.929.5–57.8111.287–134.8
204542.728.2–59106.186.2–130.7
204644.130–59.5112.386.4–139.1
204744.630.7–61.2119.692.1–145.9
20484531.9–61.5116.888.4–143.9
204945.632.3–61.4119.290.4–146.2
205046.931–63.6122.794.1–148.6
205147.532–65122.4100.9–147.7
205248.332.7–64.3124.2101.3–152.8
205345.733.7–62.1121.689–146.9
20544833.3–64.3123.993.9–150.8
205546.833–68.4126.597.9–153.7
205647.933.2–64.8126.198–154.7
205750.232.6–68.9122.797.6–150.7
205847.934–66.4125.3103–154.1
205951.333.1–66.9132.2107.4–157.4
206051.936–69.9132.599.9–159
206150.534.8–71.3126.694.2–161.1
206250.532.7–71126.399.6–157.3
206350.434.3–69.7127.7101–159.7
20645134.1–67.7130.498–151.3
206550.433.6–70.2132.4107.6–165.6
20665335.7–72.4134.5106.8–159.8
206750.634.8–70.4125.598.9–160.5
206854.837.8–72.5134102.3–166.1
206954.339.1–73.4136.9106.4–164.2
207054.337.2–73.3133.199.8–166.3
207155.837.9–76.9135.2108.4–173.7
20725639.4–78.6140.4110.6–166.8
207360.443.4–80.3140.9109.7–173.6
207457.439.1–75.3135.5112–170.6
207556.137.7–76136108.5–166.6
207658.538.4–75.3133.7105.9–163.7
207757.341–80.5140.2114.3–170.6
20785639.5–79137.5111.3–172.3
207957.639.3–78136.9110.2–172.6
208059.540.3–80.9145115.8–173.2
20815841.5–79.6147.2106.5–174.1
208258.839.7–77.7141.4111.4–169.9
208360.839.1–82.9143.6106.5–179.2
208462.540.4–82.9149.4117.3–176.9
208560.741.3–87.6154.3114.9–182.7
208660.542.1–83.3141.7115.3–176.1
208757.941–82.9142.7116.8–177.3
208864.243.4–85.3150.2118.3–178.9
208961.541.3–81.2148.9121.3–176.4
209061.641.5–86.8145.7113.7–179.4
209163.341.6–86.3149.7116.5–181.8
209263.144.9–84.8149.4119.7–181.7
209362.443.2–86.1152.5117.1–184.1
209463.145.6–87.4150.9117.3–182.2
209565.342.6–91.7155118.3–181.5
20966142.7–90.1152.4113.1–189.2
209758.841.2–84.6144.1113.8–183.3
209865.143.8–89.8152.4119.2–187
209964.345–87152.9117.3–185
210058.742–88.2148.3120.1–184.6

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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