The Omicron variant is hitting Australia a lot more durable than earlier Covid outbreaks and information from state well being departments exhibits additionally it is extra geographically unfold.

A number of Australian states are actually seeing a few of the highest case numbers on the earth on a per capita foundation, with a few of the hardest hit native authorities areas (LGAs) outdoors of main metropolitan areas. That is true in regional New South Wales and Victoria, and is trending that means in Queensland.

Right here we’ve got introduced collectively the variety of circumstances per LGA from NSW, Victoria, Queensland and South Australia. We now have excluded abroad, interstate and circumstances the place the origin is unknown. As a result of rising variety of circumstances and differing reporting durations for every jurisdiction the newest day’s information is probably not full.

Covid circumstances in Australia

Displaying Covid circumstances per 1k inhabitants in every Native Authorities Space. Knowledge doesn’t embody abroad or interstate circumstances, or the place the origin is unknown. Utilizing the most recent information obtainable per jurisdiction. Knowledge is just not at the moment obtainable for all states or LGAs. Resulting from differing reporting durations the most recent day’s information is probably not full and a few information could be delayed by a few days.

Choose your location: Sydney

Displaying: New circumstances per 1000

Notes and strategies:

  • LGA populations used the most recent Estimated Resident Inhabitants from the Australian Bureau of Statistics
  • LGA case information for Queensland scraped from the Queensland Well being division web site ranging from the twentieth of December. Cumulative numbers had been differenced to get each day case numbers.
  • LGA case information for South Australia extracted from the SA Well being Covid dashboard by David Johnstone/thenewseachday.com.au.
  • LGA case information for Victoria and New South Wales downloaded from respective Well being Division Web sites.
  • Abroad, interstate or unknown origin circumstances had been dropped earlier than the datasets had been grouped by date and LGA.
  • Every day case numbers had been divided by inhabitants and multiplied by a thousand.
  • Native Authorities Areas case information was linked to ABS information utilizing levenshtein fuzzy matching

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