CovidLaws // Switzerland // Ranking

Swiss Covid Ranking 14 days

Don't take this too serious. It's the internet.

Ranking 7 days//Ranking 14 days//Ranking 14 days Cantons & Districts

Graphs show development in the past 2 months.

Rank Shift Canton Score Prevalence 14d/100k
Graph: past 2 months
Tendency Last update
1 11 Schaffhausen -224
171.97
261 Oct. 22, 2020
2 0 Solothurn -280
201.69
391 Oct. 22, 2020
3 7 Graubünden/Grison -285
218.27
337 Oct. 21, 2020
4 2 Basel Stadt -292
215.13
387 Oct. 22, 2020
5 4 Thurgau -292
233.30
295 Oct. 22, 2020
6 16 Uri -327
266.24
304 Oct. 21, 2020
7 -4 Basel Land -328
206.85
609 Oct. 22, 2020
8 16 Nidwalden -349
307.71
209 Oct. 22, 2020
9 -8 Aargau -352
241.02
555 Oct. 21, 2020
10 6 Obwalden -390
330.33
303 Oct. 22, 2020
11 -6 Glarus -399
294.53
526 Oct. 22, 2020
12 -4 Bern -416
338.08
392 Oct. 22, 2020
13 2 Zürich -438
379.43
297 Oct. 22, 2020
14 3 Appenzell Ausserrhoden -452
391.06
307 Oct. 22, 2020
15 -1 St. Gallen -458
390.59
339 Oct. 22, 2020
16 -12 Luzern -468
320.59
741 Oct. 22, 2020
17 -6 Liechtenstein -502
376.78
630 Oct. 22, 2020
18 -11 Ticino -503
354.90
741 Oct. 22, 2020
19 0 Zug -524
461.22
317 Oct. 22, 2020
20 3 Neuchâtel -621
575.06
231 Oct. 22, 2020
21 -3 Vaud -659
606.27
263 Oct. 21, 2020
22 -1 Genève -780
725.55
273 Oct. 22, 2020
23 -3 Schwyz -843
748.28
478 Oct. 22, 2020
24 -11 Fribourg/Freiburg -876
751.46
625 Oct. 22, 2020

Formula = 0 - Cases past 14 days per 100k pop - (Tendency % (=compared to 14 days ago) /5)
Why this Formula? Combine current cases with development smh. For a true ranking we would need positivity rate, ICU occupancy etc. etc.

Source: OpenData ZH and others, see here for more information.