Suburbtrends offers an extensive Excel database meticulously designed to cater to the diverse needs of real estate analytics, from basic filtering and sorting to enabling advanced users to craft their own scorecards. At the heart of this database is the Location data, a foundational layer that provides detailed geographical and administrative insights into each listed property. This segment is crucial for understanding the broader context within which a property is situated, impacting everything from investment potential to market dynamics. Below is an overview of the Location data columns featured in Suburbtrends:
1. Suburb
The name of the suburb, serving as the primary geographical identifier. This detail is essential for users aiming to conduct area-specific analyses or comparisons between different suburbs. Over 8,000 suburbs are featured in our Excel file.
2. Postcode
The postcode associated with the suburb. This numerical code is vital for accurately categorising properties and ensuring searches and analyses are region-specific.
3. Code (SAL)
Suburbtrends leverages the Australian Bureau of Statistics (ABS) Suburbs and Localities (SAL) classification to offer precise real estate insights. SAL, approximating official suburb and locality boundaries, enables detailed property analysis within Australia's cities and towns. With 15,353 unique SAL codes, including special purpose and "Outside Australia" categories, the database covers the nation comprehensively without overlaps.
4. Nearest Sa2
Statistical Area Level 2 (SA2) name, representing a community-based medium-sized area intended for population and housing analysis. Identifying the nearest SA2 provides insights into the immediate statistical region surrounding the property.
5. Sub Region (SA3)
Statistical Area Level 3 (SA3) name, offering a broader sub-regional breakdown. This categorisation helps in understanding the property's position within larger, yet still local, community and economic contexts.
6. Region (SA4)
Statistical Area Level 4 (SA4) name, indicating the property's location within an overarching regional framework. SA4 data is crucial for identifying economic and workforce regions, aiding in macro-level investment and market trend analyses. Our Buyer Guides align to the SA4. When you purchase Buyer Guide for an area, this will provide you the Suburbtrends Excel file for that SA4, including all of the suburbs in that region.
7. LGA
Local Government Area (LGA) name, the primary local government division in which the property resides. LGA information is essential for understanding the administrative governance, including local zoning, planning, and development policies affecting the property.
8. State
The state or territory within Australia where the suburb is located. State-level data is fundamental for regional market analyses, legislative considerations, and understanding broader market trends.
Utilisation by Users:
- Filtering and Sorting: Users can easily navigate through the database, applying filters based on specific geographical criteria such as suburb, postcode, or LGA, to identify areas of interest or investment potential.
- Advanced Analysis: For more sophisticated users, the comprehensive geographical data allows for the creation of custom scorecards and detailed market analyses, leveraging the granular details provided by the various statistical area levels and administrative boundaries.
Conclusion: The Location data within the Suburbtrends database is designed to provide users with a robust framework for real estate analysis, offering a deep dive into the geographical and administrative nuances of each property. Whether for basic sorting and filtering or for crafting advanced analytical models, this data empowers users to make informed, data-driven decisions in the real estate market, underpinning successful investment strategies with a solid foundation of geographical insight.