CovidLaws // Cantons // Ranking

Swiss Covid Ranking 7 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 7d/100k
Graph: past 2 months
Tendency Last update
1 8 Graubünden/Grison -137
128.54
43 Oct. 21, 2020
2 0 Schaffhausen -150
121.96
143 Oct. 22, 2020
3 5 Basel Land -153
135.35
89 Oct. 22, 2020
4 1 Solothurn -161
138.00
116 Oct. 22, 2020
5 1 Thurgau -163
148.30
74 Oct. 22, 2020
6 -2 Basel Stadt -166
145.30
108 Oct. 22, 2020
7 8 Obwalden -183
179.70
19 Oct. 22, 2020
8 -1 Aargau -187
164.28
114 Oct. 21, 2020
9 4 Nidwalden -192
182.77
46 Oct. 22, 2020
10 6 Glarus -199
185.63
70 Oct. 22, 2020
11 -8 Uri -218
189.39
146 Oct. 21, 2020
12 7 St. Gallen -227
221.59
31 Oct. 22, 2020
13 4 Liechtenstein -244
232.26
60 Oct. 22, 2020
14 0 Luzern -248
222.68
127 Oct. 22, 2020
15 -4 Bern -255
232.08
118 Oct. 22, 2020
16 -4 Ticino -285
254.43
153 Oct. 22, 2020
17 1 Zug -292
281.46
56 Oct. 22, 2020
18 -8 Zürich -296
268.45
141 Oct. 22, 2020
19 2 Neuchâtel -317
313.83
20 Oct. 22, 2020
20 -19 Appenzell Ausserrhoden -422
331.32
454 Oct. 22, 2020
21 -1 Vaud -423
403.31
98 Oct. 21, 2020
22 1 Genève -445
435.45
50 Oct. 22, 2020
23 1 Schwyz -462
451.73
52 Oct. 22, 2020
24 -2 Fribourg/Freiburg -526
505.16
105 Oct. 22, 2020
25 2 Appenzell Innerrhoden -588
576.03
63 Oct. 22, 2020
26 -1 Jura -611
591.13
100 Oct. 21, 2020
27 -1 Valais/Wallis -626
609.67
83 Oct. 21, 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.