12-month median price growth
>5% & ≤20% — Suburb median price growth over the last 12 months. Strong movement without exceeding my preferred range.
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Weighted pass uses your own importance scores on answered items only. Unanswered items never count as a pass. A research tool, not financial advice.
Add a listing, inspection report, title search or strata report. The model reads them and drafts a suggestion for each check it can actually evidence. Nothing is marked until you add it.
>5% & ≤20% — Suburb median price growth over the last 12 months. Strong movement without exceeding my preferred range.
<40% — Last 36 months; lower growth is preferred. Check how far the market has already moved.
≤100% — Last 10 years. Read the longer history alongside recent movements.
<35% — Record the provider’s definition of renter proportion and the relevant household base.
<2% — Use the same geography and dwelling type where available; inspect multiple observations.
<8% — New dwellings approved over the last 18 months / existing total dwellings ×100. Count dwellings, not approval documents.
≥4.5% — Gross yield is before expenses. Keep suburb yield separate from the proposed property’s yield.
Less supply — Less developable land supply is preferred. Review land release, zoning, constraints and credible delivery timing; no numeric cutoff.
>25,000 — Use regional town or city population, not suburb population. Record the boundary and population date.
Jobs connection — Look for infrastructure connecting residents to jobs. Check actual accessibility, travel times and evidence.
Local employment — Review projects that attract residents through employment, such as hospitals and health centres.
Local amenity — Review schools, public transport, shopping centres and parks against local resident needs.
State + national — Compare household income with BOTH state and national averages using consistent measures. No numeric cutoff supplied.
>70% — More than 70% of mortgage-paying households spend less than 30% of income on mortgage repayments. Use relevant households and account for missing data.
≥60% — At least 60% of renting households spend less than 30% of income on rent. Use relevant households and account for missing data.
Above state — A positive signal when professional occupations grow faster than the state average. Use consistent periods and geography; no invented cutoff.
5-year review — Review the last 5 years. Declining ads flag possible weaker employment demand. Ads are a proxy; industry composition matters. Do not infer causation.
Local unemployment at or below the state average, and stable or falling.
Not reliant on one employer or industry (e.g. a single mine or factory).
≥55 — Use the provider’s own score definition. This is not a universal scoring standard.
<50 + falling — Both conditions matter: fewer than 50 days AND trending down. Trends need multiple comparable observations.
<1.3% + falling — Below 1.3% AND trending down. Record the provider’s stock denominator and observation series.
>60% — Sparse auctions mean insufficient evidence / N/A, never an automatic pass. Record auction volumes and coverage.
25:1 — 12-month rolling average. Preserve 25:1 as supplied. Confirm the provider’s numerator / denominator and whether this is a target or minimum; no pass until confirmed.
<5% — Use discount magnitude: a reported −4% is a 4% discount. Check the provider’s calculation.
5–10 years of steady growth in the suburb and wider region (ABS / state forecasts).
Share of families and working-age residents; matches the property type being bought.
Relative advantage score and its direction over recent Census periods.
Rents rising steadily, supporting yield and tenant demand.
Enough sales each year for reliable pricing and an easy exit.
Priced below comparable nearby suburbs — room for a ripple effect.
New cafés, renovations, rising incomes and owner-occupier upgrades.
Commute time to the CBD or main regional employment hub.
State crime statistics for the suburb, compared with neighbours over time.
Catchment schools and their reputation for target families.
Share of the suburb affected by flood, bushfire or coastal hazards; insurance premiums.
Funded projects with timing — announced vs funded vs under construction.
Land makes up a high share of property value (scarcity drives growth).