Mining impact assessment and Residential sale impact dataset

Full description

The study adds to the knowledge of NSW mining impacts and their association with residential property sale values, although the impact measured at Broken Hill is less than that at other major mine sites in Australia; Mt Isa and Kalgoorlie (6.2 - 6.9%/km). If omitted variables were added to this study's regression analysis, up to 8.153% per km is possible. The study is the first to use a combined WMA/HPA approach in mine and property impact assessment. Metal market spot prices do not appear to trigger price variation in the residential market, and lead and zinc ore production from all NSW mines exhibits a long-term decline. Three Data formats are utilised, and all are stored digitally; Mine impact data, Sales data and Multiple Regression of Sales Data. 1. Mine Impact Assessment: Excel spreadsheet with values at the 33 sites where mining impacts were subjectively determined. Sites were at the centre of mining activity (Broken Hill Miners Memorial) 0 meters, 200m, 500m, 1000m, 1500m, 2000m, 3000m, 4000m and 5000m away in north, east, south and westerly directions. Each site records a range of biophysical, economic, social and other impacts of mining at each location, assessed by the investigator and weighted according to documented methodology. An overall impacts rating (positive or negative) is generated to reflect the impact and distance from mining activity. 2. Sales Data: Excel spreadsheet Broken Hill sales records of all residential properties sold during calendar years 2000, 2005, 2010, 2015 and 2019, comprising property address, characteristics of each residence, area of land on which residence is located, distance to a range of services, and the centre of mining activity. 3. Multiple Regression Calculations: Robust Multiple Regression, Correlation and other statistical calculations undertaken from Broken Hill sales data records. Excel spreadsheets, Multiple Regression output files Please direct all enquires to Dr Ian Lavering ORCID 0000-0002-2094-4653