South Africa vs Tanzania

South Africa vs Tanzania: Tropical nights

Tropical nights in 2014: 27.1 nights in South Africa and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 79.2 nights, or 3.92 times that in South Africa.

nights a year · CMIP6

South Africa vs Tanzania: Tropical nightsTropical nights in 2014: 27.1 nights in South Africa and 106.3 nights in Tanzania, in the CMIP6 climate models’ median run. In 2014 the value was higher in Tanzania, by 79.2 nights, or 3.92 times that in South Africa.
South AfricaTanzaniaCMIP6 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 South Africa at 58.7 nights and Tanzania at 208 nights in 2100.

Every year

nights a year · CMIP6

YearSouth AfricaTanzania
201427.1106.3
201328.3105.5
201227.9108.4
201126.1109
201026103.9
200925.8101.1
200824.8100.3
200724.799.5
200625.5100.4
200525.398.7
200425.8100.4
200325.199.6
20022598.4
200124.5101.5
200023.394.9
19992394.2
199823.496.8
199722.593.5
199620.489.6
199519.388.5
19942085.4
199318.181.2
199218.180.1
199122.389.6
199022.791.1
19892289.1
198821.287.6
198721.988.5
19862189.4
198518.983
19842083.1
19831982.1
198220.384.8
19812088
198021.285
197919.985.5
197819.882.9
197719.284.1
197619.281
197518.880.8
197419.782.2
197319.683.6
19721981.4
197119.180.7
197018.681.8
196918.779.5
196817.879.1
196717.577.5
196617.878.1
196517.278
196414.973.8
196316.573.1
196219.681.1
196119.782.6
196019.883.9
195918.581.4
195819.382.1
195719.480.9
19561880
195519.581.6
195418.481.4
195318.480.6
195219.381.4
195118.982.1
195018.180.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth AfricaTanzania
201528.620–39.5114.895.2–137.4
201626.817.8–37.9108.391.6–125.6
201728.919.6–37.8114.893.6–137.8
201829.620.6–40.6116.497.4–137.1
201929.820.8–41.5113.495.2–133.2
202029.518.9–39.1119.396.2–143.5
202131.121.4–42.9119.5100.9–147.1
20223223.7–43.1124.4105.3–147.4
202331.922.9–41.8122.1102.1–147.8
20243324–45.6126.2100–150.1
202531.920.7–44.5124.6100.9–154
202634.521.9–46.9126.999.1–155.6
202734.423–47.7128102.9–147.7
202833.522.9–46129.9106.4–152.1
202936.226.5–48.3134.1111–156.5
203036.124.9–49129.4106.4–151.1
203136.324.5–50.3136.4115.9–158.4
203236.424.5–49.2135.1114–166.8
203336.924.5–48.3135.2110.9–161.9
203437.626.4–51.8134.7112.5–166.3
203537.625.2–49.5140.2114.6–165
20363826.5–50.5137.8113.3–165.5
203739.928.2–53.4142.9121.5–168.9
203841.528.4–54.2147.9124.3–169.3
203939.227–52.9144.3117.6–171.3
204038.125.6–55.6140.5117–178
204140.227.4–54.3149.1121.7–175.6
20424229–56.4146.3120.5–185.3
204342.128.2–58.4144.6117–173
204441.929.5–57.8147.7121.2–175.8
204542.728.2–59150.1125.2–183.4
204644.130–59.5161.5128.6–192.2
204744.630.7–61.2160.2129.7–194.4
20484531.9–61.5158.8132.7–193.1
204945.632.3–61.4157.6131.1–196
205046.931–63.6159.7127.8–192
205147.532–65163.2135.5–197.8
205248.332.7–64.3161.9136.2–199.1
205345.733.7–62.1160.6127.5–197.7
20544833.3–64.3163.2131.5–200.2
205546.833–68.4167.4137–208.3
205647.933.2–64.8166.4130.8–209.7
205750.232.6–68.9168134.6–208.3
205847.934–66.4168.7134.9–210.3
205951.333.1–66.9174.7144.9–219.5
206051.936–69.9181.7138.1–219.8
206150.534.8–71.3171.8135.5–218.1
206250.532.7–71177.5139.9–224
206350.434.3–69.7181.4140.1–213.8
20645134.1–67.7185.3140.1–215.2
206550.433.6–70.2183.5141.1–221.8
20665335.7–72.4181.9146.3–219.3
206750.634.8–70.4178.8138.8–229.2
206854.837.8–72.5186144.2–228.4
206954.339.1–73.4183.7141.7–225.3
207054.337.2–73.3180.7140.4–228.2
207155.837.9–76.9184.9146.9–235.2
20725639.4–78.6191.3155–226.1
207360.443.4–80.3191.6152.4–235.6
207457.439.1–75.3183.3149.7–231.7
207556.137.7–76183.8144.8–233
207658.538.4–75.3191.1150.9–233.2
207757.341–80.5191.3152.6–238.2
20785639.5–79189156.6–233.8
207957.639.3–78190.5147–237.3
208059.540.3–80.9197.3150.7–241.2
20815841.5–79.6195.6153.4–237.4
208258.839.7–77.7194.5157.3–237.3
208360.839.1–82.9193.2151–249.8
208462.540.4–82.9201.1152.2–246.7
208560.741.3–87.6204.2162.3–252.3
208660.542.1–83.3195156–248.7
208757.941–82.9196.7160.8–244.5
208864.243.4–85.3208.4154.7–246.9
208961.541.3–81.2201.3158.6–248.2
209061.641.5–86.8197.9160.7–253.6
209163.341.6–86.3210161.6–256
209263.144.9–84.8205.8158.3–253.6
209362.443.2–86.1207.2161.2–251.9
209463.145.6–87.4207.9161.3–250.6
209565.342.6–91.7214.2166.4–258.5
20966142.7–90.1205.3159.8–257.4
209758.841.2–84.6206.6158.4–256.8
209865.143.8–89.8209.1161–258.3
209964.345–87208.5160.1–256
210058.742–88.2208158.6–258.6

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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