HtAG Reports & Dashboards

HtAG - Property Market Forecasts > SA Market Insights – LGAs

SA Market Insights – LGAs


Council Areas included in this report: Mitcham, Marion, Charles Sturt, Port Adelaide Enfield, Campbelltown City Council, Onkaparinga, West Torrens, Tea Tree Gully, Salisbury, Playford, Adelaide Hills, Holdfast Bay, Burnside, Unley, Norwood Payneham And St Peters, Mount Barker, Gawler, Alexandrina, Victor Harbor, Lower Eyre Peninsula, Copper Coast, Prospect, Walkerville, Adelaide, Grant, Barossa, Light, Mount Gambier, Port Augusta, Loxton Waikerie, Yankalilla, Berri Barmera…

Wattle Range, Mid Murray, Renmark Paringa, Tumby Bay, Murray Bridge, Wakefield, Yorke Peninsula, Kingston, Whyalla, Kangaroo Island, Port Pirie, Robe, Barunga West, Goyder, Tatiara, Peterborough, Pua, Clare And Gilbert Valleys, Ceduna, Naracoorte Lucindale, Streaky Bay, Northern Areas, Coorong, Mount Remarkable.


HtAG SA Market Insights is a concise dataset that contains property metrics to help you understand real estate market performance for houses and units at council level in the state of South Australia. The report contains past, current and future views of the market, comprised of key market fundamentals: Number of Sales, Median Price, Median Rent, Median Price & Rent Change (from the same period last year), Yield.

The same metrics are also presented for the period 2 years into the future based on forecasts produced by our machine learning algorithm:

  • Projected Median Price
  • Projected Capital Growth (Median Price Change)
  • Projected Median Rent
  • Projected Medan Rent Change
  • Projected Yield

You can download a sample report by clicking on one of the links below:

Additional information

Additional information

Download Instructions

You will be able to download the report directly from right after your payment is processed. In addition, an email with a download link will be sent to you. The download link is valid for 30 days after purchase. Download 2 zip archives – one for houses and one for units – and extract them into any folder on your PC. Open one of the files in your browser. You will be able to interact with the data directly in your browser or extract it into PDF, EXCEL, CSV or JSON file formats.

Confidence Levels

The forecast data is classified by Confidence Levels produced by our statistical model:

High Confidence = forecast error rate of of less than 5%.
Medium Confidence = forecast error rate of less than 10%.
Low Confidence = forecast error rate of less than 20%.
Very Low Confidence = forecast error not measurable.

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