Step 4 · Pocket: street-level inside the chosen suburb

Why Step 4 isn't optional

A suburb that scores well at Step 3 still has internal variance the median price index doesn't show. Two streets within a single suburb commonly trade 15-25% apart for comparable dwelling stock. The difference is the pocket.

The pocket-level signal is the highest-impact filter inside Step 4. Pocket variance compounds at exit. A property bought in a flood-overlay pocket of an otherwise-strong suburb sells with the overlay disclosed under state planning rules, narrowing the buyer pool by 30-40% and dragging the resale price.

Step 4 walks the eight signals that move pocket-level returns the most. Each is a public-record check. None requires the buyer to physically inspect the street. The propautopilot 49-metric scorecard surfaces every one of these at the address level on Investor tier.

Signal 1 · Flood overlay

Threshold: zero overlay intersection. Hard cap: any council-mapped flood-prone zoning within 50m.

Why it matters. Flood-overlay properties carry materially higher insurance premiums (typically 2-4x non-overlay equivalents in NSW + QLD post-2022) and a permanent disclosure obligation under state planning legislation. Buyers due-diligence-in 2024+ pay flood-overlay premiums forward. The 2022 east-coast floods reset this risk into market pricing.

The flood overlay is mapped via flood-prone-land planning instruments. NSW Planning Portal exposes the overlay. QLD's State Planning Policy mandates a flood-overlay layer in public planning records. VIC publishes flood-zone overlays via the SPEAR portal.

Relax this and: insurance premiums climb permanently, exit pool narrows, mortgage approval thins as some lenders apply LVR caps on flood-overlay stock.

Signal 2 · School catchment

Threshold: in-catchment for at least one preferred state high school, or in-catchment for the suburb's median state primary.

Why it matters. School-catchment premiums are the most consistent pocket-level signal in Australian residential property. In-catchment houses for premium state high schools (Sydney's North Shore selectives, Melbourne's eastern-suburbs grammars, Brisbane's premium-catchment public schools) typically trade 15-25% above out-of-catchment but otherwise-comparable houses.

Catchment boundaries are state-published and can change at short notice. Verify current-year boundaries against the state Department of Education catchment-finder rather than relying on the listing description.

For investors not targeting families, school catchment matters less but still informs the long-term tenant mix. In-catchment rentals attract longer-staying family tenants and shorter average vacancy.

Signal 3 · Transit walking radius

Threshold: within 800m walking of a train station or 400m of a frequent-bus stop.

Why it matters. Transit-adjacent pockets command price premiums of 8-15% over otherwise-comparable pockets in the same suburb. The premium is consistent across capital cities and stable through cycles. Buyers value transit-walkability through both upswings and downswings.

The 800m / 400m thresholds are Walk Score conventions and align with most state planning department definitions of "high-frequency transit corridor." Verify against the actual walking distance (Google Maps walking directions) rather than crow-flies. The difference can be material on the wrong side of a railway cutting.

Signal 4 · Soil quality + reactive clay

Threshold: non-reactive or low-reactive clay class. Hard cap: highly reactive (Class H1 / H2).

Why it matters. Highly reactive clay soils (common in inner-Melbourne, parts of Adelaide's eastern suburbs, Brisbane's western corridor) move materially with seasonal moisture changes. Slab cracking, tile lifting, foundation re-stumping every 15-25 years. Engineering reports for new builds in H1 / H2 zones add A$15-40k to construction cost.

For existing properties, reactive-clay risk shows up as cracked render, sticking doors, and uneven floors. Building inspections explicitly call out reactive-clay zones. The buyer who skips the inspection in a known reactive-clay pocket inherits the foundation problem at no discount.

Soil class is published in the state's geological survey data. The propautopilot scorecard surfaces it at the address level.

Signal 5 · Main road proximity

Threshold: at least 200m from arterial road. Not directly fronting a 60+ km/h thoroughfare.

Why it matters. Main-road properties trade 5-12% below comparable-but-set-back properties in the same suburb. The discount holds through cycles. Main-road exposure carries permanent noise + air-quality disclosure obligations, narrows the buyer pool toward investors and renters rather than owner-occupier families, and constrains future renovation potential (council setback rules, traffic-impact assessments for any extension).

The 200m / 60km/h thresholds are heuristics. The actual signal is whether the buyer can sit on the front step and have a normal-volume conversation. Couriers idling, freight-truck back-streets, and 6am bus routes all depress comparable pricing even when the official "main road" metric reads clean.

Signal 6 · High-voltage power line proximity

Threshold: outside the published HV easement. Ideally 300m+ from any 132kV+ line.

Why it matters. HV-line-adjacent properties trade 8-15% below comparables. The discount is empirical and not driven by health-evidence consensus. It's driven by buyer perception, easement disclosure obligations, and the visible-presence-of-pylons-on-skyline factor. Whether the discount is rational is beside the point. It's priced in to the secondary market and the buyer who pays full price next to an HV easement absorbs the discount at exit.

State-level transmission operator websites publish HV easement maps. Geoscience Australia aggregates a national overlay.

Signal 7 · Housing-commission proximity

Threshold: below 15% public-housing density within 500m.

Why it matters. Pockets with high public-housing concentration in the immediate surrounding blocks carry persistent socioeconomic and crime-statistic differentials that show up in price + yield differentials. The 15% threshold is empirical. Below 15% the local mix is heterogeneous and pocket prices track suburb-median. Above 15% the pocket becomes statistically distinct.

The public-housing concentration data is sourced from state Department of Housing dwelling registers + ABS Census tenure-by-landlord-type. Both are public.

Signal 8 · Gentrification gradient

Threshold: rising or stable. Falling gradient is a yellow flag.

Why it matters. Within a gentrifying suburb (Step 3 Metric 10), individual pockets gentrify at different rates. The buyer who picks the pocket where renovation activity, café-business permits, and primary-school enrolment-by-postcode are all rising captures the suburb's gentrification premium. The buyer who picks the still-static pocket waits.

Renovation activity is visible in public planning records (every approved alteration shows up). Cafe-business permits are visible in local business-licence registers. Primary-school enrolment-by-postcode is published quarterly by state Department of Education.

The propautopilot scorecard rolls all three into the gentrification-velocity factor (Step 3 Metric 10) at the suburb level and into the gentrification-gradient factor at the pocket level.

Putting Step 4 together

A suburb that passes Step 3 typically has 3-6 pockets that pass Step 4 cleanly + several pockets that fail one or two signals. The buyer's task is to either:

• Eliminate the failing pockets entirely and shortlist 3-6 streets to property-search inside (most common path).
• Accept a single failing signal (e.g. the buyer is a non-family investor, school catchment doesn't matter) and broaden the pocket shortlist.

Don't accept two or more failing signals. Pockets that fail flood overlay AND main-road proximity, or HV-line proximity AND housing-commission proximity, sit in the bottom-decile of the suburb's price distribution and stay there.

Common mistakes at Step 4

• Trusting the listing's "minutes to station" claim. Verify walking distance against actual maps. Many listings cite drive-time or crow-flies.
• Skipping the flood-overlay check on inland suburbs. Flood overlay isn't only a coastal issue. Riverine and stormwater overlays affect inland suburbs in NSW Western Sydney + Brisbane's western corridor + parts of inland VIC.
• Picking the cheapest pocket and rationalising the failing signals. A cheap pocket failing two signals is cheap because it fails. The discount sticks through the cycle.
• Discounting the HV-line proximity because "evidence on health is mixed." The market prices the discount regardless of the evidence. The buyer absorbs it at exit.
• Treating school catchment as static. Catchment boundaries change. Verify current-year boundaries against the state Department of Education catchment-finder.
• Ignoring soil class on existing properties. A renovator paying to underpin a reactive-clay slab post-purchase is a buyer who didn't run Step 4.

Now do this on your shortlist · pull the address-level scorecard

The propautopilot suburb-page surfaces every one of these signals at the address level for any Australian property. Investor tier covers unlimited pulls.