Education Hub

HtAG’s Property Intelligence Library

This library documents how HtAG Analytics builds property intelligence for Australian residential property — the metrics, the method, the market data and the research evidence behind it. For the definition itself, and how property intelligence differs from property data, start with What is Property Intelligence?

7,000+suburb dashboards, refreshed monthly
537LGA dashboards across all 8 states & territories
135 / 135documented recommendations in the Evidence Portal
104+API endpoints for AI agents & developers
Start Here

New to data-driven property research?

Five reads, in order. They take you from what property intelligence is, through the metrics that describe a suburb, to choosing a research platform and running your first data-led shortlist.

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The HtAG Data Dictionary

Every metric HtAG publishes, defined in one place. The ontology this whole library links back to.

Metrics & Data Dictionary

The metrics behind every HtAG score

Each explainer defines one metric, shows a worked Australian example and links to its canonical Data Dictionary entry. The Relative Composite Score (RCS) combines Capital Growth, Cashflow and Lower Risk into a single 0–100 goal-based score.

Canonical Reference

HtAG Data Dictionary

The single source of truth for every metric on the platform: definitions, interpretation bands and how each signal fits the decision stack. The highest click-through page on this site for a reason.

Explore the Data Dictionary

Showing all 45 metric explainers.

Price, Rent & Return

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What a market costs, what it pays, and how that has changed.

Risk & Resilience

5

What could go wrong, and whether the data is solid enough to act on.

People & Place

5

The population and socio-economic base behind a market.

Scores & Decision Frameworks

3

How the individual signals combine into a decision.

No metric matches that filter. Try a shorter word, or browse the full Data Dictionary.

Markets & Forecasts

Live market dashboards and data-backed forecasts

HtAG publishes 7,000+ suburb dashboards and 537 LGA dashboards across every Australian state and territory, refreshed monthly. Start with a capital city, drill into a council area, then read the forecast analysis behind the numbers.

Capital city hubs · updated monthly

The HtAG Method

A repeatable, evidence-first way to select suburbs

Area selection explains 85.7% of five-year capital growth in HtAG’s analysis of 1,157 markets. The method works from strategy to suburb to asset, and every step below is documented and backtested.

Ranking

Dex™ Suburb Ranking

Compare thousands of suburbs across 150+ metrics, weighted to your investment brief.

Strategy

Goal Matching

Not every suburb is a hotspot for every investor. Aligning market picks with personal targets.

Research & Evidence

Published research on Australian house markets

HtAG research is published with sample sizes, time periods, method summaries and limitations, so investors, journalists and researchers can cite it with confidence. Every recommendation HtAG has made is tracked publicly in the Evidence Portal.

Report

The Undervalued Australia Index, Edition 1

The 129 house markets trading below their own long-run growth trend and below their region — and the four states where no such market now exists.

5,382 markets screened · 129 qualify · data to 31 Jul 2026
Study

What Happens to Australian Property in a Downturn?

Every downturn and every upswing since 1970, measured: what the typical house market actually returned after inflation, and where the failures clustered.

37,449 suburb-episodes · 11 climates · 1970–2026
Track Record

The Evidence Portal

135 recommendations, 135 documented outcomes. Every HtAG research recommendation, tracked in public.

Interactive

The Property Strategist Game

Nine HtAG whitepapers turned into ten playable investment decisions. Learn the research by playing it.

AI, Agents & Developers

Property intelligence your AI agent can query

AI-native property intelligence is property intelligence delivered through machine-readable interfaces (APIs and MCP) so an AI agent can query, reason over and act on it without a human re-keying numbers. HtAG operates Australia’s first property-intelligence MCP platform, with 104+ REST endpoints and 70+ public MCP tools.

Developer Portal

Developer Portal: Learn

Guides and use cases for building property research agents, apps and workflows on HtAG data.

For Buyers’ Agents

Turn suburb research into a client advisory process

Buyers’ agents use HtAG to make suburb selection repeatable and evidence-backed: a documented research framework, professional validation data and client-ready reporting.

Buyers agents: start here. The guides above cover the components. The eleven-stage workflow shows how they fit together on a single client brief.

Working with AI? AI Copilot is HtAG’s own research assistant, included in every plan.

Latest

Latest from the library

The six most recent additions to the HtAG Property Intelligence Reference Library.

5 thoughts on “Education Hub: HtAG’s Property Intelligence Library”

  1. Dive into our extensive library of educational articles crafted by industry experts to level up your property investment game. From market trends and analysis to risk management and wealth-building strategies, we cover all aspects of successful data-driven real estate investing. Equip yourself with the knowledge and confidence to make informed decisions and maximize your investment returns.

    Have a question? Leave a comment below.

  2. Do you have a Macro measure for NoM (Net Overseas Migration) as a contributing factor for growth forecasting?

    • Hi Dan,

      Thanks for bringing up such an insightful query.

      Indeed, net overseas migration (NoM) plays a significant role in socio-economic changes at a national and state level. At HtAG, our strength lies in delving into detailed metrics to discern market conditions at the more granular levels of Local Government Areas (LGAs) and suburbs throughout Australia.

      However, it’s important to note that NoM data at such a detailed level is not available.

      Our approach, therefore, involves employing a hierarchical method in our predictive modeling. This means we integrate insights from broader levels – including country, state, and major city data – as contextual indicators that bolster our analysis at the more specific LGA and suburb levels.

      While net overseas migration is indeed a key driver, particularly in major cities like Sydney, Melbourne, and Brisbane, its impact tends to be more nuanced when examining suburbs within these capitals. This is because the dispersion of migrants across a city’s suburbs is influenced by a variety of factors that our platform already accounts for.

      Some of these factors include employment opportunities, economic diversity, socioeconomics, and housing characteristics, among others.

      Therefore, even if precise NoM data were available for LGAs and suburbs, its direct impact might be less significant than it appears, given that our predictive models already incorporate a wide range of 80+ metrics to assess market potential at this local level. These metrics effectively capture the underlying growth scenarios that NoM would contribute to, enabling a comprehensive analysis without direct NoM data.

      In summary, while NoM is a critical macro measure for understanding growth trends, especially in larger cities, our platform’s detailed examination of a broad set of metrics ensures a thorough market analysis that supplements migration impacts with other critical factors at the local level.

    • Hi Karan,

      You’ll find Dex tutorials (and many other valuable resources) in our Mastermind Community. You can access Mastermind from your HTAG account dashboard – simply click on the community link to get started.

      Just a quick note: Mastermind requires a separate signup from your main HTAG account. However, if you join using the same email address you used for HTAG, you’ll automatically unlock additional membership levels and features.

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