au.com.microburbs/property-data

Tools

• area_stats_fields

  Discover which statistical fields exist. Free (0c). Fuzzy, token-based matching covers table topics and clean column labels as well as terse field codes. Common natural-language plurals and Census synonyms are handled, so the verbatim `query=couples with children` discovers the exact 2021 ABS family-composition count fields rather than substituting the broader `census_family_households` metric. Use the returned field code(s) with the priced `/area-stats/SAL/{suburb}/values` route. ~17k fields available. **Price: 0¢ per call.**

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• area_stats_regions

  List the regions that exist at a level — every suburb, LGA, postcode, etc. Free (0c). Use it to discover the exact region names to pass to /values. **Price: 0¢ per call.**

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• area_stats_values

  Statistical field values for one region. Pass `fields` — 1 to 5 field codes (from /fields) — to fetch. At SAL level, `mode=sa1` switches from the suburb-aggregate value to a per-SA1 breakdown — every SA1 that falls inside the suburb, each with its own values. **Price: 3¢ per call.**

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• geocode_address

  Resolve a freeform address string to candidate G-NAF identifiers. Use this before calling any ``/v1/properties/{gnaf_id}/...`` route — those endpoints require a GNAF in the path. Returns up to 10 candidates, ranked by Meilisearch score. **Price: 1¢ per call.**

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• geocode_suburb

  Autocomplete a partial suburb search string against the ABS SAL list. Use this before calling ``/v1/suburbs/{name}/...`` — those endpoints require a canonical SAL name in the path. **Price: 1¢ per call.**

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• lga_list

  All Australian LGAs. Optional `?state=` filter (e.g. 'NSW'). Returns `{lga, state}` per row. Flat cost. **Price: 3¢ per call.**

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• lga_profile

  LGA's parent chain — state + GCCSA. LGAs aren't strictly nested in SA4 so the upward chain stops there. **Price: 3¢ per call.**

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• mbs_list

  Mesh-block codes inside a suburb. ``sal`` is required for now — nationwide / by-LGA / by-SA3 listings will land later when there's a story for the large payloads (a single LGA can hit a few thousand mesh blocks). **Price: 3¢ per call.**

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• mbs_profile

  The mesh block's upward ABS chain — SA1, SA2/3/4, GCCSA, state — plus the parallel admin chain (LGA, suburb (SAL), postcode). **Price: 3¢ per call.**

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• me

  Return key identity and the authoritative Autumn credit balance.

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• ping

  Returns immediately if the API is up. No authentication required and not metered — safe to poll from a load balancer, uptime monitor, or status dashboard without affecting your usage.

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• ping_head

  Returns immediately if the API is up. No authentication required and not metered — safe to poll from a load balancer, uptime monitor, or status dashboard without affecting your usage.

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• properties_amenities_nearby

  Curated amenities (supermarkets, green spaces, restaurants/cafes) within `radius_m` of the property, bucketed and nearest-first. **Price: 10¢ per call.**

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• properties_basics_all

  **Price: 23¢ per call.**

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• properties_basics_bath_count

  Bathroom count from the latest matching listing. **Price: 5¢ per call.**

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• properties_basics_bed_count

  Bedroom count from the latest matching listing. **Price: 5¢ per call.**

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• properties_basics_dwelling_type

  Dwelling type (house, unit, townhouse, ...). **Price: 5¢ per call.**

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• properties_basics_land_area_sqm

  Parcel land area in square metres from the cadastral feed. **Price: 3¢ per call.**

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• properties_basics_parking_count

  Parking-space count from the latest matching listing. **Price: 5¢ per call.**

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• properties_comparables_all

  **Price: 74¢ per call.**

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• properties_comparables_cma_comp_set

  Top comparable sales used to triangulate the subject property's value. **Price: 60¢ per call.**

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• properties_comparables_cma_single_comp

  Single best comparable from the CMA set (highest dist_score). **Price: 10¢ per call.**

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• properties_comparables_recent_sales_nearby

  Recent comparable sales in a small radius around the subject parcel. **Price: 4¢ per call.**

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• properties_context_mesh_blocks

  Mesh-block polygons within 1 km of the property (GeoJSON), each with avg annual growth, investor counts, modal street and median sold price. **Price: 30¢ per call.**

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• properties_context_nearby_for_sale

  Currently for-sale listings within `radius_km` of the property (newest first, max 30) with AVM and rent-yield comparison. **Price: 20¢ per call.**

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• properties_context_street_bedroom_series

  The subject's bedroom band (bed count from listing history) and the suburb's 10-year price series for that band. **Price: 15¢ per call.**

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• properties_development_all

  **Price: 8¢ per call.**

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• properties_development_zoning_code

  Primary zoning at the property's point — code (R2, B4, ...) when the council ships one, plus the human-readable name and the broader category. **Price: 3¢ per call.**

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• properties_development_zoning_overlays

  Development overlays intersecting the property's parcel. **Price: 5¢ per call.**

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• properties_history_all

  **Price: 80¢ per call.**

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• properties_neighbours

  Adjoining-parcel neighbours, enriched with address + property type + bed/bath/garage from the latest matching listing. **Price: 30¢ per call.**

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• properties_profile

  Resolve a GNAF to its full ABS Statistical Geography Standard hierarchy (Mesh Block → SA1 → SA2 → SA3 → SA4 → GCCSA → State) plus the parallel admin chain (LGA, suburb (SAL), postcode). Call this once to get every ABS key the rest of the data layers index on. **Price: 3¢ per call.**

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• properties_rent_history

  All For Rent records, most-recent first. **Price: 30¢ per call.**

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• properties_rent_history_latest

  Most-recent For Rent record. **Price: 10¢ per call.**

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• properties_risks_all

  Every property-level risk overlay in one call. Flat 30¢ — may grow without increasing the bundle price as new overlays are added. With ``?geojson=true`` each risk that has a polygon overlay also carries its 1km-radius-clipped `geojson` FeatureCollection + `geojson_meta`. **Price: 48¢ per call.**

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• properties_risks_bushfire

  Bushfire-prone-area overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is in a bushfire zone". **Price: 15¢ per call.**

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• properties_risks_environment

  Environmental-risk overlay (contamination, salinity, ...). **Price: 3¢ per call.**

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• properties_risks_erosion

  Coastal / soil erosion overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is eroding". **Price: 3¢ per call.**

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• properties_risks_flood

  Modelled flood overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property floods". **Price: 10¢ per call.**

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• properties_risks_heritage

  Heritage-listing overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is heritage-listed". **Price: 3¢ per call.**

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• properties_risks_historical_flood

  Recorded historical flood extents within 1 km. Read `on_property` — a returned row means "found nearby", not "this property flooded". **Price: 3¢ per call.**

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• properties_risks_hv_power_line

  High-voltage power-line easement near the parcel. **Price: 2¢ per call.**

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• properties_risks_landslide

  Landslide-risk overlays within 1 km. Read `on_property` — a returned row means "found nearby", not "this property is at landslide risk". **Price: 3¢ per call.**

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• properties_risks_mobile_black_spot

  Mobile-coverage black-spot overlay near the parcel. **Price: 2¢ per call.**

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• properties_risks_public_housing

  Public-housing concentration overlay near the parcel. **Price: 4¢ per call.**

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• properties_sale_history

  All Sold + For Sale records, most-recent first. **Price: 30¢ per call.**

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• properties_sale_history_latest

  Most-recent Sold or For Sale record. **Price: 10¢ per call.**

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• properties_schools_all

  **Price: 105¢ per call.**

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• properties_schools_nearby

  Schools within ~5km of the property, with rank + student counts. **Price: 5¢ per call.**

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• properties_schools_ranking

  Schools within ~5km of the property, ranked by NAPLAN / socioeconomic score. **Price: 100¢ per call.**

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• properties_street_profile

  The property's own street: current median price, 2/4/8-year price forecasts, realised growth, sale/rental turnover, renter share and houses/units on the street — plus the suburb-wide medians to judge it against and the street's rank on 4-year forecast growth. 404s when the street has no forecast row rather than falling back to suburb-wide figures, which would answer a different question. **Price: 20¢ per call.**

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• properties_surroundings_listing_history_signals

  Latest sold/rent dates and likely-owner-status signal per nearby property. **Price: 20¢ per call.**

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• properties_surroundings_parcels

  Cadastral parcel polygons (GeoJSON) for properties around the subject. **Price: 25¢ per call.**

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• properties_surroundings_properties

  Every GNAF property within 200 m of the subject, with lat/lng and mesh block. **Price: 15¢ per call.**

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• properties_surroundings_public_housing

  Properties around the subject flagged by the public-housing classifier. **Price: 15¢ per call.**

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• properties_surroundings_tenure

  ABS Census 2021 tenure shares for each mesh block around the subject. **Price: 15¢ per call.**

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• properties_transport_nearby

  Nearest train / tram / bus / ferry stop to the property, per mode, with distance. Widen `radius_m` for the nearest station beyond 1km. **Price: 5¢ per call.**

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• properties_valuation_agent_quoting

  Quoting accuracy of the property's current listing agency — cohort, median guide-vs-sold deviation, underquote rate and its 5 most-recent tracked sales. Only while the property is listed for sale with a tracked agency. **Price: 50¢ per call.**

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• properties_valuation_all

  **Price: 10¢ per call.**

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• properties_valuation_avm

  Microburbs ML AVM for a single GNAF — point estimate, 80% range, plus a confidence score (0–100) derived from the interval width. **Price: 10¢ per call.**

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• properties_valuation_land_values

  Council land valuations for the parcel — val_2021..val_2025 series with YoY change and $/sqm, plus lot area and zoning description. **Price: 15¢ per call.**

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• properties_valuation_negative_gearing

  Negative-gearing stat at the finest available level: per-property cashflow scenarios (80% + 105% LVR), falling back to mesh-block then suburb investor-exposure. **Price: 20¢ per call.**

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• properties_valuation_value_series

  Modelled property value over time (monthly for the last year, annual before that). Houses only — units have no series. **Price: 30¢ per call.**

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• sa4_list

  All Australian SA4s. Optional `?state=` filter. Returns `{sa4, state}` per row. Flat cost. **Price: 3¢ per call.**

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• sa4_profile

  SA4's parent chain — GCCSA + state. **Price: 3¢ per call.**

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• suburbs_crime_breakdown

  Per-crime-type rates (predicted incidents per 100,000 residents per year) for the suburb vs national medians.

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• suburbs_crime_by_mesh_block

  Total crime rate for every mesh block in the suburb, keyed by ABS mesh-block code. Values are predicted incidents per 100,000 residents per year (see the payload's `unit` / `definition` keys).

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• suburbs_crime_summary

  Suburb and national total-crime medians (predicted incidents per 100,000 residents per year) with a vs-national verdict.

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• suburbs_demographics_age

  Population by age bracket and gender.

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• suburbs_demographics_all

  Age + income — bundle

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• suburbs_demographics_ancestry_map

  The dominant ancestry (and its share) in each of the suburb's microburbs, plus suburb-level ancestry shares. Pilot coverage.

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• suburbs_demographics_business

  ABN industry-mix pattern (Diverse / Professional-services-heavy / Mining-exposed / Low-commercial residential) plus the POI categories unusually common in the suburb, with named examples.

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• suburbs_demographics_cohorts

  How the suburb ranks inside its SA4 region and against its touching neighbours on renter share, welfare dependency, overseas-born parents and public housing.

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• suburbs_demographics_cultural_integration

  Suburb cultural-integration composite (0-100) with national percentile and tier, plus the per-microburb scores behind it.

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• suburbs_demographics_income

  Household income breakdown by bracket.

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• suburbs_demographics_income_map

  Median weekly household income for every microburb in the suburb, plus the suburb median, national percentile and highest/lowest pockets.

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• suburbs_demographics_population_history

  Total suburb population is `current_population` (ABS Census 2021), alongside suburb census points (2011/2016/2021) and the LGA's yearly population series with a 10-year modelled projection tail. Use this route for questions such as "what is the total population of Clarkson?

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• suburbs_demographics_private_school

  Share of residents attending Catholic / Independent schools — suburb rollup plus the per-microburb shares behind it.

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• suburbs_demographics_single_parents

  Single-parent-family share for the suburb against the pinned national median, with the associated capital-growth impact.

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• suburbs_demographics_tenure

  Explicit total owner-occupation rate plus owned-outright / mortgaged / renting / public-housing shares — a suburb rollup and the per-microburb downscaled Census shares. `owner_occupied_pct` is the requested headline; it equals owned outright plus mortgaged and is null if either is absent. `census_year` makes the 2021 reference period explicit.

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• suburbs_demographics_underclass_drag

  Welfare-dependency and public-housing shares with the suburb's underclass tier (High / Mid / Low) and the capital-growth impact associated with that tier. Regional and neighbour ranks for the same two metrics are served by `/demographics/cohorts`.

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• suburbs_demographics_unemployment

  Labour-force-weighted unemployment rate for the suburb against the pinned national median, plus the per-microburb shares behind it.

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• suburbs_demographics_voting

  Projected first-preference shares per party, aggregated across the suburb's microburbs (booth-derived model — not an actual vote).

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• suburbs_development_all

  DA count + DA list — bundle

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• suburbs_development_applications

  Recent development applications (up to 100, newest first) with category counts.

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• suburbs_development_building_controls

  Height-of-building and floor-space-ratio control polygons with band summaries.

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• suburbs_development_construction_activity

  Satellite-detected construction change per mesh block plus a suburb rollup.

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• suburbs_development_council_intelligence

  Council capex / project-pipeline signals extracted from the LGA's meeting minutes — each with stage, dollar value, location and time horizon — plus a rollup of the total pipeline in dollars.

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• suburbs_development_council_rates

  Average annual residential council rate for the suburb's LGA.

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• suburbs_development_da_count

  Count of recent development applications in the suburb.

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• suburbs_development_da_list

  Recent development applications lodged in the suburb.

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• suburbs_development_density

  Dwellings and people per km², plus the land area and counts behind them.

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• suburbs_development_profile

  Dwelling-mix scalars — apartment share and average lot size.

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• suburbs_development_supply

  New dwellings (last 24 months) split units vs houses per mesh block plus a rollup.

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• suburbs_development_zoning_map

  Zoning polygons clipped to the suburb, with per-class and parent-group area shares.

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• suburbs_ethnicity_all

  All ethnicity — bundle

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• suburbs_ethnicity_ancestry

  Ancestry breakdown from the ABS census.

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• suburbs_ethnicity_birthplace

  Country-of-birth breakdown from the ABS census.

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• suburbs_finder_count

  How many suburbs match the filter, without paying per row. 5c. Use this to size a result before searching: /search is capped at 25 rows per call, so `total` here tells you how many `offset` pages you need. **Price: 5¢ per call.**

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• suburbs_finder_fields

  Every field you can filter / sort on, with its label and unit. 0c. Houses and units are separate keys: the `unit`-prefixed ones (`unitMedianPrice`, `unitGrossYield`, `unitMedianRent`, …) are the apartment market, the unprefixed market keys are houses, and both can be filtered in the same query. Unit fields are NOT nationally populated — they only exist where a suburb has a unit market (roughly 13-54% of suburbs depending on the field), so a suburb with no unit market simply won't match a unit filter. **Price: 0¢ per call.**

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• suburbs_finder_regions

  SA4 regions grouped by state — the values accepted by `states` / `regions` on search. 0c. **Price: 0¢ per call.**

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• suburbs_finder_search

  Boolean-AND range filter over suburb metrics, single-column sort, paginated. Every row carries its `rank` — position in the ranked result (1 = top of the sort, out of `meta.total`). When sorting by a median or a growth, the actual value is also shown for the first 5 and last 5 rows of the page; for any other suburb's number, call the per-field endpoint (market/*, forecast/*). **Paging:** a page is capped at 25 rows. A bigger `limit` is clamped, not rejected — so always read `meta`: `total` is the full match count, `has_more` says whether rows remain, and `next_offset` is the `offset` to pass for the next page. A "top 50" needs two calls, each charged. Flat 30c. **Price: 30¢ per call.**

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• suburbs_forecast_sale

  1-year sale-price growth forecast (low / most-likely / high).

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• suburbs_hero_neighbours

  Nearest neighbouring suburbs with distance in km, closest first.

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• suburbs_hero_price_growth_12mo

  12-month sale-price growth by property type (house / unit).

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• suburbs_hero_summary

  State, SA3/SA4, postcode, population, dwellings and centroid for the suburb.

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• suburbs_lifestyle_cbd

  Straight-line distance to the nearest city and to the nearest capital, in km. Both, because they answer different questions and are often nowhere near each other: Belmont North is 14 km from Newcastle and 108 km from Sydney. `nearest_city` is usually what a buyer means by "how far is town". The top-level `city` / `distance_km` fields are DEPRECATED. They still describe the CAPITAL, unchanged, so existing callers are unaffected — read `capital_city` or `nearest_city` instead.

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• suburbs_lifestyle_landmarks

  Nearest beach and hospital with straight-line distances (null = none within ~50 km).

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• suburbs_lifestyle_livability

  Livability scores (0–100) per dimension, aggregated from mesh-block scores, with the SA4 benchmark.

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• suburbs_lifestyle_livability_map

  All seven livability dimensions — affluence, lifestyle, hip, convenience, family, safety, tranquility — scored 0-100 for every microburb (mesh block) in the suburb, each with its human band. Averaging a dimension across the microburbs reproduces the suburb figure at ``/lifestyle/livability``. Values only; polygons come from ``/shapes/mesh-blocks``.

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• suburbs_lifestyle_narrative

  One plain-English sentence per livability dimension for the suburb.

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• suburbs_lifestyle_poi_impacts

  What the absence of petrol stations, fast food and bottle shops near sold properties was worth.

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• suburbs_lifestyle_pois

  Every named venue / amenity in the suburb as GeoJSON Point features, plus a per-category count. Each point carries `name`, a broad `category` (Restaurant / Cafe, Shopping, Health, Entertainment, Sport & Fitness, Education, …) and a finer `subtype` (e.g. `pub`, `bar`, `cafe`, `restaurant`, `gym`, `supermarket`, `school`, `pharmacy`). This is the endpoint for "what / how many <venue type> are in this suburb" and "name the pubs / cafes / gyms in X" — filter or count the features on `subtype`, and read real venue names from `name`. The top-level `categories` array gives the broad-category counts without walking the list. Unpaged by default. Big suburbs are big — Sydney is ~3.7 MB of features — so pass `limit`/`offset` (or narrow with `category`) when you don't need them all. `count` and `categories` always describe the whole suburb, so paging never hides the totals. Flat price per call regardless of page size.

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• suburbs_lifestyle_summary

  POI category breakdown, terrain scalars, nearest train/shop and beach/hospital flags.

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• suburbs_list

  List Australian suburbs (SALs). Always returns `{suburb, state}` per row so SAL-name collisions across states are unambiguous. With no filter you get the first 1000 suburbs alphabetically (browser-renderable preview). Pass any of the filters to narrow: state / lga / sa4 / sa3 / postcode / q (name search). Filters combine (AND). Flat cost regardless of how many rows come back. **Name search (`q`) is typo-tolerant.** It tries an exact match, then substring, then a fuzzy near-miss, and returns `match` (`exact` / `contains` / `fuzzy`) and `score` on every row so you can see which happened. **Always tell the user which suburb you resolved to, and its state, before quoting numbers for it.** A fuzzy match is a suggestion, not a confirmation — `rokeby` is one letter from Kokeby in Western Australia and Rokeby exists in both Tasmania and Victoria. If more than one candidate is plausible, ask rather than pick. When `q` is combined with `state`, the state is a **preference, not a filter**: in-state candidates rank first, but a suburb of that name in another state is still returned rather than hidden, so a near-miss becomes "Seaview is in Victoria, not Tasmania" instead of "no data". Every other filter stays a strict AND. **Price: 3¢ per call.**

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• suburbs_listings_for_sale

  Current for-sale listings in the suburb, with address, price, beds/baths and coordinates per listing. `total` is the full number on the market (computed before `limit`), so a count is accurate even when the rows are capped. Raise `limit` for more listings; set `verbose=true` for the agent's full description text.

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• suburbs_market_affordability

  Microburbs affordability index for the suburb's postcode area.

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• suburbs_market_all

  The eight headline market indicators in one call: median sale price and median rent (each with its full history), 5-year price growth, gross yield, days on market, and transaction volume. **This is a core set, not every market endpoint.** The `Suburb - Market` family has 29 endpoints; this bundles 8 of them, priced sum-of-parts. The path is `/market/all` for historical reasons — it is not "all". Supply, vacancy, growth drivers, affordability, mortgage stress, investor concentration, land values, repeat sales, bedroom stats and the per-mesh-block maps are separate calls, so you only pay for what you ask for.

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• suburbs_market_bedroom_stats

  House/unit price, sales volume, median bath/car/land, and stock mix per bedroom count.

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• suburbs_market_built_year

  Estimated build-year profile — suburb aggregate + per-mesh-block medians.

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• suburbs_market_comparable_suburbs

  Same-SA3 comparable-suburb candidates (canonical SAL names).

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• suburbs_market_days_on_market

  Median days on market for current listings.

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• suburbs_market_days_on_market_benchmark

  Median days on market across the suburb's greater region (GCCSA) — compare with /market/days-on-market.

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• suburbs_market_growth_drivers

  Per-indicator capital-growth attribution for the suburb. Each row pairs the suburb's own value for an indicator with the capital-growth differential our matched studies attribute to it, in percentage points. Covers supply & demand pressure, market signals, environmental risks and demographic composition.

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• suburbs_market_investor_concentration

  Rental (investor) share per mesh block, with a suburb-wide rollup.

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• suburbs_market_land_values

  Suburb land-value medians ($/sqm, lot size, land share of price) + per-mesh-block $/sqm.

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• suburbs_market_median_price_map

  Median house price for every microburb (mesh block) in the suburb, with its modal street name, plus the dearest and cheapest pockets. Values only — the matching polygons come from ``/shapes/mesh-blocks``.

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• suburbs_market_median_rent

  Latest median weekly rent for the suburb.

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• suburbs_market_median_rent_series

  Full median weekly-rent observation history for the suburb, including 2024 and 2025 where the suburb has coverage. Older observations are generally month-end and recent observations can be weekly; this is not a uniformly quarterly series. Values are advertised median AUD per week.

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• suburbs_market_median_sale_price

  Latest median sale price for the suburb.

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• suburbs_market_median_sale_price_series

  Full median sale-price observation history for the suburb. Well-covered suburbs extend back 20+ years; coverage and observation frequency vary. This is the raw historical series needed to calculate a stated 20-year return, not a precomputed "consistent growth" score or a forecast.

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• suburbs_market_months_of_supply

  How many months the current for-sale stock would take to clear at the suburb's current sales rate. Under 2 months is a seller's market.

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• suburbs_market_mortgage_stress

  Mortgage-stress score (0-100) for the suburb, with per-mesh-block breakdown.

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• suburbs_market_price_growth

  Past compound sale-price growth over 1 / 3 / 5 / 10 years, by property type (decimal). The 3y / 10y figures are the same ones the Suburb Finder ranks on.

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• suburbs_market_price_growth_5y

  5-year compound sale-price growth (decimal).

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• suburbs_market_recent_price_movement

  The last four weekly smart-median observations — house price, unit price and house rent — each with its week-on-week percentage change.

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• suburbs_market_rent_map

  Median advertised weekly house rent for every microburb (mesh block) in the suburb, with its modal street name, plus the dearest and cheapest pockets. Values only — the matching polygons come from ``/shapes/mesh-blocks``.

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• suburbs_market_repeat_sales

  Realised resale growth — summary + individual buy/sell pairs (max 500).

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• suburbs_market_stock_on_market

  Properties currently listed for sale in the suburb, split house/unit, with the suburb's rank among its peers.

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• suburbs_market_strata_levies

  Median estimated annual strata levy for the suburb.

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• suburbs_market_supply_pressure

  For-sale listings per 100 dwellings (90 days) — per mesh block + suburb rollup.

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• suburbs_market_transaction_volume

  Recent sale-transaction count for the suburb.

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• suburbs_market_vacancy_map

  Calibrated rental-vacancy rate for each mesh block in the suburb.

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• suburbs_market_vacancy_rate

  Suburb-wide rental vacancy rate by property type, as a decimal fraction (0.00842 = 0.84%). Use `/market/vacancy-map` for the per-mesh-block surface.

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• suburbs_market_vacancy_rate_series

  Full rental-vacancy history by property type, decimal fractions.

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• suburbs_market_yield_map

  Gross rental yield for every microburb (mesh block) in the suburb — weekly rent x 52 over median price — with both inputs returned so the number is checkable, plus the best- and worst-yielding pockets. Values only; polygons come from ``/shapes/mesh-blocks``.

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• suburbs_market_yield_pct

  Gross rental yield = median rent annualised / median sale price.

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• suburbs_market_yield_pct_series

  Full gross-rental-yield history by property type, decimal fractions.

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• suburbs_profile

  The suburb's upward ABS admin chain — LGA, SA2/3/4, GCCSA, state, postcode. Use ``/v1/suburbs/list`` to discover canonical SAL names (and filter by state / LGA / SA4 / postcode).

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• suburbs_risks_all

  Bushfire + flood — bundle

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• suburbs_risks_bushfire

  Share of the suburb AREA covered by bushfire-prone designation. Area, not properties — and the two differ a lot. Belmont North is 45.72% by area but 23.62% by property count, because designated land is not evenly built on. If you want "what share of homes here are affected", which is the figure our own reports headline, use `GET /v1/suburbs/{suburb_name}/risks/property-hazard-counts` — it returns a count and pct per hazard against the suburb's actual dwellings.

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• suburbs_risks_capital_growth_impact

  Matched-study capital-growth impact (%/yr) for bushfire, flood, contamination, mine subsidence, aircraft noise and surface acid sulfate, scaled by the share of properties affected.

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• suburbs_risks_counts

  Counts of contamination points, heritage items and erosion-prone polygons inside the suburb.

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• suburbs_risks_extras

  Landslide / storm-tide coverage, EPA notices, landlord-insurance medians and crime benchmark, with per-microburb detail.

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• suburbs_risks_flood

  Share of the suburb AREA covered by modelled flood overlays. Area, not properties. For the share of DWELLINGS affected — the figure our own reports headline — use `GET /v1/suburbs/{suburb_name}/risks/property-hazard-counts`. To answer **where** the flood zone is, pass `geojson=true`. The response then includes the actual modelled flood polygons clipped to the suburb boundary, suitable for a street map, plus truncation/simplification metadata. Do not infer street location from `coverage_pct` alone.

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• suburbs_risks_heritage_share

  Share of the suburb's properties inside a heritage polygon.

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• suburbs_risks_hv_power_lines

  Whether high-voltage transmission lines cross the suburb, how many, and the highest voltage class (overhead lines only).

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• suburbs_risks_property_hazard_counts

  Counts and shares of the suburb's properties flagged bushfire / flood / mine-subsidence / contamination / aircraft-noise / acid-sulfate.

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• suburbs_risks_slope

  Median / 90th-percentile property gradient and share of steep (>10°) properties.

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• suburbs_sales_recent

  Properties sold in the suburb over the last 3 years, with beds/baths/land size, sale price and date, and coordinates. Paginated: `total` reports how many sales are available for the suburb (counted before `limit`/`offset`), so you can page through the full feed. Flat price per call regardless of page size.

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• suburbs_sales_summary

  Number of sales and median sold price in the suburb over the last 3 years.

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• suburbs_schools_all

  All schools — bundle

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• suburbs_schools_catchment

  Public-school catchment polygons covering the suburb.

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• suburbs_schools_nearby

  Schools serving / near the suburb, with rank + attendance data.

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• suburbs_shapes_boundary

  Simplified SAL boundary polygon (GeoJSON Feature) plus centroid.

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• suburbs_shapes_busy_roads

  Busy-road line segments clipped to the suburb — the report's road-noise exposure proxy.

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• suburbs_shapes_easements

  Registered easement geometries intersecting the suburb (GeoJSON FeatureCollection).

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• suburbs_shapes_hazards

  Hazard polygons for one layer, clipped to the suburb boundary (empty collection = hazard not present).

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• suburbs_shapes_mesh_blocks

  ABS 2021 mesh-block polygons covering the suburb (GeoJSON FeatureCollection, MB code per feature).

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• suburbs_shapes_neighbours

  Neighbouring suburbs as a GeoJSON FeatureCollection — each with its boundary polygon and distance in km.

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• suburbs_shapes_noise_heatmap

  Precomputed noise colour regions clipped to the suburb, plus cell-centre heat points.

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• suburbs_shapes_public_housing_sa1

  SA1 polygons in the suburb with their 2021 census public-housing share (only SA1s above 0%).

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• suburbs_similar

  Top-10 suburbs ranked closest by Microburbs' similarity model.

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• suburbs_street_forecasts

  2/4/8-year price forecasts for every street in the suburb, anchored to the real sold median. Unpaged by default. Large suburbs are large — Point Cook has 943 streets (~1.4 MB) — so pass `limit`/`offset` when you don't need the lot. `total` reports how many exist. Flat price per call regardless of page size.

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