When analyzing the sales history of properties in DAS, it’s essential to understand how land area, parcel layers, and sales data interact. This guide explains how to interpret sales information and make informed decisions based on the available data.
Highlighting Parcels Linked to Sales Cards
In the Sales Tab, hovering over individual sales cards highlights the parcels associated with each specific sale. This feature helps you identify pricing variations and gain a clearer understanding of the details behind historical sales.
Example Scenario
In the provided photo examples:
Land Area Selected: A specific land area is chosen using the sales filter.
Sales Cards Overview:
Upon selecting the property and navigating to the Sales Tab, you’ll notice three distinct sales cards.
Hovering over each sales card highlights the parcels (in yellow) associated with that particular sale.
Understanding Sales Values:
Each sale card represents a unique transaction, sometimes linked to specific parcels within the property.
The variations in sale prices across the cards are due to differences in the parcels included in each transaction.
Key Insights for Decision-Making
Land Area vs. Parcel Layer:
The land area represents the total area of interest.
The parcel layer breaks this down into individual parcels, which may be sold separately or as part of different transactions.
Sales History Analysis:
The sales history for a land area often shows varying values because it includes data from multiple parcel-specific transactions.
Understanding which parcels contributed to each sale is critical when evaluating historical pricing.
Practical Application:
Use this information to identify trends in parcel-specific sales, assess market value, and ensure accurate valuations or planning decisions.
Conclusion
The Sales Tab in DAS provides a robust tool for analyzing property transactions by visually highlighting parcels linked to specific sales cards. Understanding the connection between land area, parcel layers, and sales history empowers you to make informed decisions and gain deeper insights into the property's value over time. Additionally, this understanding ensures more accurate and meaningful comparisons when incorporating nearby sales into your property reports.