Hungary vs Slovakia

Hungary vs Slovakia: Days above 35 °C

Days above 35 °C in 2014: 1.8 days in Hungary and 0.3 days in Slovakia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Hungary, by 1.6 days, or 6.78 times that in Slovakia.

days a year · CMIP6

Hungary vs Slovakia: Days above 35 °CDays above 35 °C in 2014: 1.8 days in Hungary and 0.3 days in Slovakia, in the CMIP6 climate models’ median run. In 2014 the value was higher in Hungary, by 1.6 days, or 6.78 times that in Slovakia.
HungarySlovakiaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Hungary has been higher since 1993.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Hungary at 16.4 days and Slovakia at 4.4 days in 2100.

Every year

days a year · CMIP6

YearHungarySlovakia
20141.80.3
20130.50
20121.70.1
20111.90.2
20102.90.3
20091.50.2
20081.70.1
20070.40
200610.1
20050.60
20041.10.1
20030.60
20020.40
20010.30
20001.30.1
19990.20
19980.40
19970.10
19960.40
19950.20
199400
199300
199200
19910.20
19900.20
19890.10
198800
198700
19860.10
198500
198400
198300
198200
198100
198000
197900
19780.10
197700
197600
19750.20
19740.10
197300
197200
197100
197000
19690.20
196800
196700
19660.10
196500
196400
196300
196200
196100
196000
19590.50
19580.30
195700
19560.30
19550.30
195400
19530.50
19520.20
195100
19500.20
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearHungarySlovakia
20152.10–5.90.20–1.1
20161.40–9.60.10–2.3
20172.30–120.40–2.8
20182.60–9.50.30–2.5
20192.10.1–120.30–2.6
20204.10.2–12.40.80–3.2
20212.60.1–8.70.20–2.1
20222.90–11.50.40–2.7
20231.80–12.50.10–3.4
202440–10.90.40–3
20252.10–13.20.20–3.7
20263.90–120.70–3.5
20272.20–12.50.30–2.6
202830.4–12.20.40–3.9
20293.40–15.60.80–3.8
20303.50–11.30.40–2.4
20312.30.2–120.20–2.8
203240.2–17.50.50–4.1
20333.90–12.50.60–3
20344.80–15.20.70–3.6
20355.10.3–21.80.80–5.4
20367.60.3–23.71.30–7.1
20376.21–16.81.10–4.2
20383.90–21.20.70–6.7
20397.40.6–181.40–5.7
20405.40.3–13.80.90–3.7
20416.60.3–12.410–3.2
20424.70–170.70–5.2
20436.41.5–19.21.20.1–5.8
20446.90.8–22.71.20.1–6.7
20457.30.4–16.91.20–4.7
20466.80–23.41.40–5.9
20478.71.8–21.31.80.2–6.2
20486.80–26.11.10–7.9
20497.60.1–23.51.30–8.5
205010.10.7–17.71.90–4.7
20518.40.7–21.91.50–5.9
20526.70.5–20.60.90–5.3
20535.11–18.50.80–5.4
20548.61.6–23.91.40.1–7.4
20557.61.6–18.51.10–5.3
20566.82.5–24.21.30.2–8.1
20578.71.6–22.71.80–7.9
205811.71.5–35.42.70–13.1
20598.60.7–22.91.70–6.9
20606.92–231.30.1–7.3
206112.62.4–23.92.80.3–8.2
20627.41.2–21.71.20.1–5.9
206313.11.7–30.12.90.1–9.6
206411.52.1–26.92.40.1–8.9
206511.21.5–24.22.10.3–8.1
206610.22–25.220–7
206712.52.9–28.82.20.4–9.6
206812.23.8–22.62.60.3–6.9
206912.14.7–25.42.80.4–8.9
20709.82.4–28.22.20.3–8.8
207112.60.1–32.92.80–10.2
207212.84.4–33.73.40.7–9.8
207310.94.2–20.32.10.5–6
20748.52.3–28.31.80.2–8.6
2075153–31.23.40.2–12.4
207612.61.6–30.93.30.2–10.9
207711.94.9–28.61.90.3–9.8
207812.73.3–30.23.10.5–10.5
207912.91.8–49.82.90.1–19.2
208011.83–28.830.3–8.9
208115.52.6–30.43.80.2–13
208218.34.1–38.14.51–15.2
2083121.8–29.22.70.1–9.5
208414.33.6–30.730.5–9.6
2085173.4–334.10.2–10.5
208614.24.3–32.93.20.3–11.6
208715.24.4–323.70.5–13.8
208816.73.9–35.14.50.4–14.4
208912.33.9–37.32.90.3–15.1
209016.86.4–36.240.5–15.3
209119.75.2–40.15.50.7–13
209215.22.6–30.93.20.2–11.2
209312.24–31.62.40.1–9.4
209412.94.4–41.13.10.5–14.2
209515.93–35.14.30.2–12.1
2096131.6–38.330.1–11.6
209714.52.3–34.43.70.1–12.5
209817.65.3–35.53.40.8–13.4
209915.74.9–37.93.40.6–15.7
210016.45.3–33.44.40.7–13.5

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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