3083
VIC Postcode
Daily Cases by Postcode
| DATE | CASES | VAR | NET | ACTIVE | VAR2 | NET2 |
|---|---|---|---|---|---|---|
| 29 Sep | 123 | 0 | 0 | 0 | ||
| 28 Sep | 123 | 0 | 0 | 0 | ||
| 27 Sep | 123 | 0 | 0 | 0 | ||
| 26 Sep | 123 | 0 | 0 | 0 | ||
| 25 Sep | 123 | 0 | 0 | 0 | ||
| 24 Sep | 123 | 0 | 0 | 0 | ||
| 23 Sep | 123 | -1 | 0 | 0 | ||
| 22 Sep | 124 | 0 | 0 | 0 | ||
| 21 Sep | 124 | 1 | 0 | 0 | ||
| 20 Sep | 123 | 0 | 0 | 0 | ||
| 19 Sep | 123 | 0 | 0 | 0 | ||
| 18 Sep | 123 | 0 | 0 | 0 | ||
| 17 Sep | 123 | -1 | 0 | 0 | ||
| 16 Sep | 124 | 0 | 0 | 0 | ||
| 15 Sep | 124 | 1 | 0 | -1 | ||
| 14 Sep | 123 | 0 | 1 | 0 | ||
| 13 Sep | 123 | 0 | 1 | -1 | ||
| 12 Sep | 123 | 0 | 2 | -1 | ||
| 11 Sep | 123 | 0 | 3 | 0 | ||
| 10 Sep | 123 | 0 | 3 | -2 | ||
| 09 Sep | 123 | 1 | 5 | -2 | ||
| 08 Sep | 122 | -1 | 7 | -3 | ||
| 07 Sep | 123 | 1 | 10 | -1 | ||
| 06 Sep | 122 | 0 | 11 | 1 | ||
| 05 Sep | 122 | 0 | 10 | -1 | ||
| 04 Sep | 122 | 1 | 11 | 1 | ||
| 03 Sep | 121 | 0 | 10 | -1 | ||
| 02 Sep | 121 | 2 | 11 | 2 | ||
| 01 Sep | 119 | 0 | 9 | -4 | ||
| 31 Aug | 119 | 2 | 13 | 0 | ||
| 30 Aug | 117 | 3 | 13 | 0 | ||
| 29 Aug | 114 | 1 | 13 | -2 | ||
| 28 Aug | 113 | 3 | 15 | 1 | ||
| 27 Aug | 110 | -5 | 14 | -4 | ||
| 26 Aug | 115 | - | 18 | - | ||
| 24 Aug | 114 | -3 | 17 | -4 | ||
| 23 Aug | 117 | 1 | 21 | -1 | ||
| 22 Aug | 116 | 5 | 22 | 0 | ||
| 21 Aug | 111 | 0 | 22 | -3 | ||
| 20 Aug | 111 | 3 | 25 | -14 | ||
| 19 Aug | 108 | 1 | 39 | -3 | ||
| 18 Aug | 107 | 1 | 42 | -3 | ||
| 17 Aug | 106 | 0 | 45 | -2 | ||
| 16 Aug | 106 | 2 | 47 | 1 | ||
| 15 Aug | 104 | 4 | 46 | 3 | ||
| 14 Aug | 100 | 0 | 43 | -2 | ||
| 13 Aug | 100 | 2 | 45 | 2 | ||
| 12 Aug | 98 | 4 | 43 | 3 | ||
| 11 Aug | 94 | 0 | 40 | -4 | ||
| 10 Aug | 94 | - | 44 | - |
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