COVID-19 Cases in Postcode: 3350

including Alfredton, Bakery Hill, Ballarat, Ballarat Central, Ballarat East, Ballarat North, Ballarat West, Black Hill, Brown Hill, Canadian, Eureka, Golden Point, Invermay Park, Lake Wendouree, Lucas, Mount Clear, Mount Helen, Mount Pleasant, Nerrina, Newington, Redan and Soldiers Hill

Since the start of the COVID-19 pandemic, 17630 positive cases have been identified in people from the 3350 postcode area.

Latest COVID-19 infection data for the 3350 postcode

NEW cases in 3350

Fri 20th May
210 new cases
Thu 19th May
215 new cases
Wed 18th May
218 new cases
Tue 17th May
292 new cases
Mon 16th May
207 new cases
Sun 15th May
168 new cases
Sat 14th May
167 new cases
Fri 13th May
180 new cases
Thu 12th May
210 new cases
Wed 11th May
242 new cases
Tue 10th May
232 new cases
Mon 9th May
180 new cases
Sun 8th May
134 new cases
Sat 7th May
109 new cases
Fri 6th May
139 new cases
Thu 5th May
131 new cases
Wed 4th May
126 new cases

ACTIVE cases in 3350

Fri 20th May
1338 active cases
Thu 19th May
1300 active cases
Wed 18th May
1296 active cases
Tue 17th May
1286 active cases
Mon 16th May
1232 active cases
Sun 15th May
1253 active cases
Sat 14th May
1232 active cases
Fri 13th May
1192 active cases
Thu 12th May
1129 active cases
Wed 11th May
1064 active cases
Tue 10th May
947 active cases
Mon 9th May
841 active cases
Sun 8th May
817 active cases
Sat 7th May
796 active cases
Fri 6th May
769 active cases
Thu 5th May
726 active cases
Wed 4th May
702 active cases
Data Source
Last updated: 12:15pm 21 May 2022

Information supplied by the Victorian Department of Health under a CC-BY 4.0 Licence.

Data is released by the government daily and is usually available by the early afternoon.

Please check official government sources for more information.

* Prior to the 4th of February 2022, Victorian Department of Health postcode case numbers only included positive PCR test results from official testing locations and did not include positive rapid antigen test results, so these earlier numbers will be significantly lower than the actual number of infections.