NSW real estate
analytics with
traceable geospatial
linkage

Explore the market at suburb and street level — with consistent identifiers, transparent coverage, and shareable views.
Free to explore Street-level analytics Traceable outputs Business access on request

Market data, structured

Free dashboards and rollups for volumes, price dynamics, and distributions — built for shareable analysis and research.
  • Locality and street-level aggregation
  • Time series views (year/quarter) and segmentation
  • Consistent outputs for comparisons across geographies

Geospatial linkage

Map
Address-aware matching and geocoding enable spatially consistent analysis on maps and in reports — down to micro-locations.
  • Consistent suburb/street identifiers for micro-market analysis
  • Spatial consistency for mapping, clustering, and research
  • Shareable views for collaboration and reporting

Quality and traceability

Coverage and matching quality are visible, so you can understand what’s included and how locations were linked.
  • Quality signals for matching and coverage
  • Reproducible filters (locality, streets, property nature)
  • Evidence-ready outputs for internal workflows

Business access

For agencies and product teams: monitoring for selected locations, embeddable widgets, and API access. We’re onboarding early partners.
  • Location monitoring (weekly or custom cadence)
  • Embeddable widgets for agency & proptech sites
  • API & exports for automation and downstream products

Who it’s for

Four common use-cases, one shared principle: measurable coverage and reproducible analytics.
Agencies & property professionals
Comparable sales, micro-market context, and evidence-ready outputs for day-to-day decisions.
  • Find comparable sales and micro-market context for appraisals
  • Use suburb/street-level trend signals for listing strategy and pricing
  • Generate evidence packs for vendor conversations (with source traceability)
Buyers & sellers
A clear view of recent outcomes and long-run dynamics (since 2001) with transparent coverage.
  • Review recent sale outcomes in your target area
  • Identify price regime shifts by year/quarter and property segment
  • Reduce uncertainty by seeing coverage and quality of the underlying data
Home improvement & local services
Market sizing and timing signals for suburb-level demand planning (renovations and move-related services).
  • Size markets by suburb/street and understand timing of demand (move/renovation signals)
  • See where activity is growing and where it is cooling
  • Plan inventory and crews using factual transaction volumes
Analysts & investors
Model-ready rollups and spatially consistent linkage for mapping, clustering, and research.
  • Use clean rollups for modelling (volumes, medians, distributions)
  • Work with spatially consistent linkage for mapping and clustering
  • Commission bespoke studies when the question needs custom methodology
Generated: 2026-02-09T15:54:24Z