3065
VIC Postcode
Daily Cases by Postcode
| DATE | CASES | VAR | NET | ACTIVE | VAR2 | NET2 |
|---|---|---|---|---|---|---|
| 01 Oct | 90 | 0 | 0 | 0 | ||
| 30 Sep | 90 | 0 | 0 | 0 | ||
| 29 Sep | 90 | 0 | 0 | 0 | ||
| 28 Sep | 90 | 0 | 0 | 0 | ||
| 27 Sep | 90 | 0 | 0 | 0 | ||
| 26 Sep | 90 | 0 | 0 | 0 | ||
| 25 Sep | 90 | 0 | 0 | 0 | ||
| 24 Sep | 90 | 0 | 0 | 0 | ||
| 23 Sep | 90 | 0 | 0 | 0 | ||
| 22 Sep | 90 | 0 | 0 | 0 | ||
| 21 Sep | 90 | 0 | 0 | 0 | ||
| 20 Sep | 90 | 0 | 0 | 0 | ||
| 19 Sep | 90 | 0 | 0 | 0 | ||
| 18 Sep | 90 | 1 | 0 | -1 | ||
| 17 Sep | 89 | 0 | 1 | 0 | ||
| 16 Sep | 89 | 0 | 1 | -2 | ||
| 15 Sep | 89 | 0 | 3 | 0 | ||
| 14 Sep | 89 | 0 | 3 | -1 | ||
| 13 Sep | 89 | 0 | 4 | 0 | ||
| 12 Sep | 89 | -1 | 4 | 0 | ||
| 11 Sep | 90 | 0 | 4 | -1 | ||
| 10 Sep | 90 | 0 | 5 | 0 | ||
| 09 Sep | 90 | -1 | 5 | 0 | ||
| 08 Sep | 91 | 2 | 5 | 2 | ||
| 07 Sep | 89 | 1 | 3 | 0 | ||
| 06 Sep | 88 | -1 | 3 | -2 | ||
| 05 Sep | 89 | 1 | 5 | 1 | ||
| 04 Sep | 88 | 0 | 4 | -1 | ||
| 03 Sep | 88 | 0 | 5 | -1 | ||
| 02 Sep | 88 | -1 | 6 | 0 | ||
| 01 Sep | 89 | 0 | 6 | 0 | ||
| 31 Aug | 89 | 1 | 6 | 0 | ||
| 30 Aug | 88 | 0 | 6 | -1 | ||
| 29 Aug | 88 | 1 | 7 | 1 | ||
| 28 Aug | 87 | 1 | 6 | 1 | ||
| 27 Aug | 86 | -1 | 5 | -1 | ||
| 26 Aug | 87 | - | 6 | - | ||
| 24 Aug | 86 | 3 | 6 | -2 | ||
| 23 Aug | 83 | 0 | 8 | -1 | ||
| 22 Aug | 83 | 0 | 9 | 0 | ||
| 21 Aug | 83 | 0 | 9 | -2 | ||
| 20 Aug | 83 | 0 | 11 | -8 | ||
| 19 Aug | 83 | 1 | 19 | 1 | ||
| 18 Aug | 82 | 0 | 18 | -2 | ||
| 17 Aug | 82 | -1 | 20 | -1 | ||
| 16 Aug | 83 | 1 | 21 | -2 | ||
| 15 Aug | 82 | 1 | 23 | 1 | ||
| 14 Aug | 81 | 2 | 22 | 0 | ||
| 13 Aug | 79 | 0 | 22 | -5 | ||
| 12 Aug | 79 | 0 | 27 | 0 | ||
| 11 Aug | 79 | 1 | 27 | 0 | ||
| 10 Aug | 78 | - | 27 | - |
Interpreting data
Events are counted in the Victorian data set if the case is being managed in Victoria. Positive cases are allocated a location. The current cases maps don't necessarily reflect where the person caught coronavirus (COVID-19).
You should not use the data set to decide to travel or shop in an area that may appear to have lower cases level of coronavirus (COVID-19).
Source DHHS Dashboard