Germany vs Vietnam

Germany vs Vietnam: Days above 35 °C

Days above 35 °C in 2014: 0 days in Germany and 4.9 days in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 4.8 days, or 160 times that in Germany.

Watch it change on the map

days a year · CMIP6

Germany vs Vietnam: Days above 35 °CDays above 35 °C in 2014: 0 days in Germany and 4.9 days in Vietnam, in the CMIP6 climate models’ median run. In 2014 the value was higher in Vietnam, by 4.8 days, or 160 times that in Germany.
GermanyVietnamCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Vietnam has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Germany at 1.3 days and Vietnam at 32.3 days in 2100.

Every year

days a year · CMIP6

YearGermanyVietnam
201404.9
201305.6
201205.3
201105.1
201005.2
200905
200804.5
200703.9
200604.7
200504.2
200405.3
200304.2
200204.2
200105.2
200003.6
199903
199803.5
199703.4
199602.5
199503.1
199403.3
199302.3
199201.8
199104
199005
198902.8
198803.1
198702.5
198603.3
198502.3
198403.1
198302.4
198203.5
198102.3
198002.3
197903.2
197802.1
197703
197602.4
197502.1
197402.9
197303.2
197202.6
197102.1
197002.1
196902.5
196802.1
196702.1
196602.1
196502.2
196402
196302
196202.3
196102.8
196003.2
195901.8
195803.5
195702.8
195601.9
195503.1
195402.9
195302.9
195203.3
195103.6
195002.7
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearGermanyVietnam
201500–0.15.81.5–15.3
201600–1.14.90.7–13.3
201700–0.75.51.3–14.8
201800–0.35.61.5–14.2
201900–0.86.41.1–16.3
202000–0.56.31.2–16.7
202100–0.37.42–19.1
202200–17.22.6–22.3
202300–1.67.62–17.3
202400–18.32.5–19
202500–1.39.32.2–23.3
202600–1.87.31.9–22.6
202700–0.98.12.9–17.2
202800–1.38.73.3–18.2
202900–1.211.94.1–26.6
203000–0.910.42.7–20.3
203100–19.63.4–22.3
203200–1.89.92.7–25.4
203300–1.510.84.1–22
20340.10–2.7102.9–23.4
203500–19.82.3–26.3
20360.10–1.810.13.7–19.7
203700–2.711.53–23.1
203800–1.514.74.8–29.3
20390.10–1.410.93.3–24.9
204000–1.211.63.7–27.7
204100–1.514.35.5–27.6
204200–1.511.73–30.8
20430.10–1.310.64–25.2
20440.10–2.412.64.1–31.3
204500–1.711.74.6–25
20460.20–2.214.44.6–31.1
20470.20–2.715.24.9–31.7
20480.10–2.817.14.4–36.5
20490.30–2.416.47–33.7
20500.30–1.715.95.3–35
20510.20–1.715.54.7–33.5
20520.10–2.5176.3–33.6
205300–2.3155.4–35.9
20540.40–2.416.76–38.3
20550.20–2.616.97.2–35.9
20560.40–3.717.75.6–41.6
20570.30–2.517.75.6–35.2
20580.40–3.118.95–40.8
20590.30–3.319.87.5–47.2
20600.30–2.922.77.7–43.7
20610.40–2.618.54.2–42.8
20620.70–3.120.14.4–53.7
20630.50–422.75.2–46.5
20640.40–4.119.77.7–40
20650.40–4.418.97.2–50.1
20660.40–2.723.99.2–48.4
20670.80–6.318.45.9–38.6
20680.30–2.324.37.1–48.3
20690.80.1–421.96.6–51.6
20700.80–5.217.96.6–49.6
20710.50–5.922.97.7–48.5
20721.10–4.222.37.4–49.4
20730.40–3.526.810.5–51
20740.50–3.524.26.7–52.2
20750.70–4.720.66.8–50.3
20760.50–6.225.35–51.3
20770.60–5.628.36.4–52.9
20780.90–8.426.19.6–54.8
20790.30–4.324.87.4–60.8
20800.70–4.626.68.1–59.8
20810.90–6.324.58–54.1
20821.20–7.626.39.6–53.6
20830.50–3.925.58.4–66.1
20840.50–3.725.69.3–51.2
20850.80–4.627.98.9–59.1
20861.30–6.127.46.8–62.7
20871.10–7.125.17.1–54.8
20881.80–7.829.78.3–67.7
20891.20–5.327.98.4–63.9
20900.70–8.526.59.8–62.4
20911.60–626.310.1–65.2
20920.40–5.531.28.4–60.7
20930.50–2.527.110.6–70.9
20941.50–5.627.810–61.9
20951.20–7.937.58.2–67.5
20960.80–5.229.910.5–67
20970.50–6.230.48.5–56.5
209810–5.928.58.7–68.1
209910–6.426.96.2–67.2
21001.30–5.732.38.1–59.2

Each country on its own

Good to know

  • Days in a year whose highest temperature passes 35 °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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