South Africa vs Sweden

South Africa vs Sweden: Tropical nights

Tropical nights in 2014: 27.1 nights in South Africa and 0.1 nights in Sweden, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Africa, by 27.1 nights, or 540 times that in Sweden.

Watch it change on the map

nights a year · CMIP6

South Africa vs Sweden: Tropical nightsTropical nights in 2014: 27.1 nights in South Africa and 0.1 nights in Sweden, in the CMIP6 climate models’ median run. In 2014 the value was higher in South Africa, by 27.1 nights, or 540 times that in Sweden.
South AfricaSwedenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • South Africa 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 Sweden at 0.7 nights in 2100.

Every year

nights a year · CMIP6

YearSouth AfricaSweden
201427.10.1
201328.30.1
201227.90
201126.10
2010260
200925.80
200824.80
200724.70
200625.50
200525.30
200425.80
200325.10
2002250
200124.50
200023.30
1999230
199823.40
199722.50
199620.40
199519.30
1994200
199318.10
199218.10
199122.30
199022.70
1989220
198821.20
198721.90
1986210
198518.90
1984200
1983190
198220.30
1981200
198021.20
197919.90
197819.80
197719.20
197619.20
197518.80
197419.70
197319.60
1972190
197119.10
197018.60
196918.70
196817.80
196717.50
196617.80
196517.20
196414.90
196316.50
196219.60
196119.70
196019.80
195918.50
195819.30
195719.40
1956180
195519.50
195418.40
195318.40
195219.30
195118.90
195018.10
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearSouth AfricaSweden
201528.620–39.50.10–0.3
201626.817.8–37.900–0.3
201728.919.6–37.800–0.4
201829.620.6–40.600–0.3
201929.820.8–41.50.10–0.5
202029.518.9–39.100–0.3
202131.121.4–42.900–0.3
20223223.7–43.10.10–0.5
202331.922.9–41.80.10–0.6
20243324–45.600–0.4
202531.920.7–44.50.10–1
202634.521.9–46.90.10–1
202734.423–47.70.10–0.3
202833.522.9–460.10–0.6
202936.226.5–48.30.10–0.8
203036.124.9–490.10–0.5
203136.324.5–50.30.10–0.4
203236.424.5–49.20.10–0.8
203336.924.5–48.30.10–0.8
203437.626.4–51.80.10–0.7
203537.625.2–49.50.20–0.8
20363826.5–50.50.10–0.8
203739.928.2–53.40.10–1
203841.528.4–54.20.10–1.2
203939.227–52.90.10–0.8
204038.125.6–55.60.10–0.8
204140.227.4–54.30.10–1.2
20424229–56.40.20–1.2
204342.128.2–58.40.20–1.1
204441.929.5–57.80.10–1.1
204542.728.2–590.10–0.6
204644.130–59.50.20–1.3
204744.630.7–61.20.30–2.1
20484531.9–61.50.30–1.8
204945.632.3–61.40.20–1.6
205046.931–63.60.20–1.8
205147.532–650.20–1.7
205248.332.7–64.30.20–2
205345.733.7–62.10.10–1.3
20544833.3–64.30.20–1.1
205546.833–68.40.20–1.6
205647.933.2–64.80.20–1.5
205750.232.6–68.90.20–1.4
205847.934–66.40.30–2.3
205951.333.1–66.90.30–1.7
206051.936–69.90.20–1.4
206150.534.8–71.30.40–1.6
206250.532.7–710.30.1–1.7
206350.434.3–69.70.20–2.1
20645134.1–67.70.20–1.6
206550.433.6–70.20.30–3
20665335.7–72.40.20–2.8
206750.634.8–70.40.30–2
206854.837.8–72.50.20–1.5
206954.339.1–73.40.60.1–3.1
207054.337.2–73.30.30–2
207155.837.9–76.90.30–2.7
20725639.4–78.60.20–2
207360.443.4–80.30.40–4.6
207457.439.1–75.30.20–2.8
207556.137.7–760.30–2.9
207658.538.4–75.30.40–2.4
207757.341–80.50.40–2.2
20785639.5–790.50–3.1
207957.639.3–780.40–3.1
208059.540.3–80.90.30–2.1
20815841.5–79.60.30–3
208258.839.7–77.70.40–4.4
208360.839.1–82.90.50.1–3
208462.540.4–82.90.30–2.4
208560.741.3–87.60.40–3.3
208660.542.1–83.30.70–4
208757.941–82.90.60–6
208864.243.4–85.30.50–2.7
208961.541.3–81.20.50.1–3.4
209061.641.5–86.80.40–2.9
209163.341.6–86.30.60–3.9
209263.144.9–84.80.80–4.2
209362.443.2–86.10.70.1–4.8
209463.145.6–87.40.50–2.6
209565.342.6–91.70.50.1–4.3
20966142.7–90.10.50–3.7
209758.841.2–84.60.50–4.5
209865.143.8–89.80.50.1–3.7
209964.345–870.30–3.2
210058.742–88.20.70–4.4

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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