Austria vs Philippines

Austria vs Philippines: Days above 35 °C

Days above 35 °C in 2014: 0.1 days in Austria and 1.2 days in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 1.2 days, or 14 times that in Austria.

Watch it change on the map

days a year · CMIP6

Austria vs Philippines: Days above 35 °CDays above 35 °C in 2014: 0.1 days in Austria and 1.2 days in Philippines, in the CMIP6 climate models’ median run. In 2014 the value was higher in Philippines, by 1.2 days, or 14 times that in Austria.
AustriaPhilippinesCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Philippines has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Austria at 1.6 days and Philippines at 8.8 days in 2100.

Every year

days a year · CMIP6

YearAustriaPhilippines
20140.11.2
201301.4
201201.3
201101.2
201001.5
200901.3
200801.1
200701.1
200601.2
200501.1
200401.1
200301
200201
200101.1
200000.9
199900.9
199801.1
199700.8
199600.7
199500.7
199400.7
199300.7
199200.5
199100.8
199001
198900.7
198800.7
198700.7
198600.8
198500.6
198400.7
198300.5
198200.8
198100.7
198000.7
197900.8
197800.5
197700.7
197600.6
197500.4
197400.5
197300.6
197200.6
197100.6
197000.4
196900.6
196800.5
196700.5
196600.5
196500.5
196400.5
196300.5
196200.7
196100.7
196000.7
195900.5
195800.7
195700.7
195600.5
195500.8
195400.6
195300.5
195200.6
195100.6
195000.5
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearAustriaPhilippines
201500–0.21.70.6–3.5
201600–0.81.30.5–3.2
20170.10–0.91.60.7–3.4
20180.10–11.70.6–3.9
201900–0.81.60.5–4.2
20200.20–0.81.60.4–4
202100–0.520.7–3.8
20220.10–0.72.20.9–4.3
202300–1.120.6–4.1
20240.10–12.31–4.3
20250.10–1.32.11–4.8
20260.20–1.42.30.7–5.3
202700–0.92.30.9–4.5
20280.20–12.40.9–4.4
20290.20–1.32.91.2–6.3
20300.10–0.72.41.3–4.5
203100–0.82.31.1–4.9
20320.10–1.12.61–6.4
20330.10–1.42.81.4–5
20340.20–1.82.40.9–5
20350.10–1.42.41–5.8
20360.30–2.52.61.1–5.4
20370.20–1.631.4–5.8
20380.10–2.13.31.6–6.7
20390.40–1.631.4–5.9
20400.30–1.43.31.3–7.2
20410.20–1.13.41.5–6.9
20420.20–1.92.81.2–6.8
20430.40–1.731.1–6.2
20440.30–2.13.41.5–7.3
20450.30–1.43.41.2–6.5
20460.40–2.13.91.6–8.2
20470.50–2.13.91.6–8.6
20480.30–3.141.8–8.4
20490.50–3.24.21.9–8
20500.50–1.74.22.3–8.4
20510.40–1.641.8–9
20520.30–1.84.72.2–8.9
20530.20–2.64.31.9–8.5
20540.40–2.54.52.3–11.5
20550.30–2.14.52–9
20560.40–34.52.2–10.4
20570.60–2.35.12.2–9.2
20580.80–4.14.71.9–10.9
20590.50–3.25.42.1–11.7
20600.40–36.32.3–10.8
20610.90.1–2.75.42–10.7
20620.40–2.35.31.5–13.1
20630.90–3.85.72.1–12.5
20640.80–3.85.11.8–10.3
20650.80–3.35.12.5–11.6
20660.70–2.86.12.7–12.2
20670.80.1–4.54.82–11.1
20680.80–2.56.32.5–12.4
20690.90.1–3.15.62.6–13.3
20700.90–3.64.92.5–11.7
20710.90–4.56.42.6–13.3
20721.30.2–3.66.52.2–12.7
20730.60–2.37.22.9–16
20740.60–2.76.32.8–14.3
207510.1–5.96.42.3–13.7
207610–4.56.62.6–12.8
20770.60–4.37.72.8–16.5
20780.90.1–5.36.53.4–17.4
20790.70–6.76.82.6–15.7
20801.10.1–47.62.7–17.5
20811.10–6.37.33.2–17.8
20821.50.2–7.67.52.8–14.9
20830.80–3.57.62.9–18.8
208410.2–3.77.52.3–15.2
20851.30.1–4.183.2–17.4
20861.10–4.98.32.6–17
208710.1–67.83.1–16.5
20881.90.1–77.73.3–19.2
20891.10.1–78.23–17.9
20901.30.1–7.87.43.3–19.9
20911.90.2–5.983.2–20.9
20920.90–4.38.23.3–18
20930.70–3.57.83.3–23.5
20941.60.1–5.58.43.3–18.7
20951.40–5.69.73–19.4
20961.10–58.72.9–23
20970.90–5.283.4–16.7
20981.30.2–5.68.33.2–21.6
20991.30.2–5.77.53–20.4
21001.60.1–6.88.83.5–17

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

Austria vs Philippines

Health

People

Economy

Education

Politics

Conflict

Military

Climate

Technology and environment