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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 -240
193.92
231 Oct. 23, 2020
2 7 Thurgau -314
260.06
270 Oct. 23, 2020
3 22 Uri -347
299.18
240 Oct. 23, 2020
4 -3 Solothurn -349
238.29
557 Oct. 23, 2020
5 12 Obwalden -361
322.40
197 Oct. 23, 2020
6 14 Graubünden/Grison -369
315.05
269 Oct. 24, 2020
7 -5 Aargau -375
271.36
519 Oct. 22, 2020
8 -2 Basel Stadt -378
292.15
431 Oct. 24, 2020
9 -4 Basel Land -389
269.32
599 Oct. 24, 2020
10 16 Nidwalden -403
365.55
187 Oct. 24, 2020
11 -8 Glarus -445
326.71
594 Oct. 23, 2020
12 1 Zürich -463
406.71
281 Oct. 23, 2020
13 -9 Luzern -483
355.02
641 Oct. 23, 2020
14 0 St. Gallen -511
446.72
321 Oct. 23, 2020
15 4 Zug -546
489.60
283 Oct. 23, 2020
16 -9 Bern -557
464.16
468 Oct. 24, 2020
17 -6 Appenzell Ausserrhoden -557
477.97
398 Oct. 23, 2020
18 -3 Liechtenstein -631
505.82
625 Oct. 24, 2020
19 -11 Ticino -671
499.80
859 Oct. 24, 2020
20 2 Neuchâtel -727
670.06
286 Oct. 22, 2020
21 0 Vaud -849
789.84
300 Oct. 23, 2020
22 5 Schwyz -869
807.34
310 Oct. 24, 2020
23 0 Genève -897
841.27
283 Oct. 23, 2020
24 0 Jura -1085
991.57
468 Oct. 23, 2020
25 -7 Fribourg/Freiburg -1093
991.17
511 Oct. 24, 2020
26 -10 Valais/Wallis -1223
1078.05
729 Oct. 22, 2020
27 -17 Appenzell Innerrhoden -1245
1052.96
962 Oct. 24, 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.