area_stats_fields
ClaudeDiscover 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. Free.
area_stats_regions
ClaudeList 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. Free.
area_stats_values
ClaudeStatistical 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.
geocode_address
ClaudeResolve 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.
geocode_suburb
ClaudeAutocomplete 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. Free.
lga_list
ClaudeAll Australian LGAs. Optional ?state= filter (e.g. 'NSW'). Returns {lga, state} per row. Flat cost. Price: 3¢ per call.
lga_profile
ClaudeLGA's parent chain — state + GCCSA. LGAs aren't strictly nested in SA4 so the upward chain stops there. Price: 3¢ per call.
mbs_list
ClaudeMesh-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.
mbs_profile
ClaudeThe 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.
me
ClaudeReturn the calling account and its current prepaid credit balance. Free.
ping
ClaudeReturns 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. Free.
properties_amenities_nearby
ClaudeCurated amenities (supermarkets, green spaces, restaurants/cafes) within radius_m of the property, bucketed and nearest-first. Price: 10¢ per call.
properties_basics_all
ClaudeThe physical facts about a dwelling in one call: bedrooms, bathrooms, parking spaces, dwelling type (house, unit, townhouse and so on) and land area in square metres. Priced as the sum of the five individual calls. Ask for a single field instead if that is all you need. Price: 23¢ per call.
properties_basics_bath_count
ClaudeBathroom count from the latest matching listing. Price: 5¢ per call.
properties_basics_bed_count
ClaudeBedroom count from the latest matching listing. Price: 5¢ per call.
properties_basics_dwelling_type
ClaudeDwelling type (house, unit, townhouse, ...). Price: 5¢ per call.
properties_basics_land_area_sqm
ClaudeParcel land area in square metres from the cadastral feed. Price: 3¢ per call.
properties_basics_parking_count
ClaudeParking-space count from the latest matching listing. Price: 5¢ per call.
properties_comparables_all
ClaudeThe evidence a valuer or agent would use to price this property: a CMA comparable set, the single closest comparable sale, and recent sales nearby. Use it to answer "what did similar homes around here actually sell for", and to show the working behind a valuation rather than a bare number. Price: 74¢ per call.
properties_comparables_cma_comp_set
ClaudeTop comparable sales used to triangulate the subject property's value. Price: 60¢ per call.
properties_comparables_cma_single_comp
ClaudeSingle best comparable from the CMA set (highest dist_score). Price: 10¢ per call.
properties_comparables_recent_sales_nearby
ClaudeRecent comparable sales in a small radius around the subject parcel. Price: 4¢ per call.
properties_context_mesh_blocks
ClaudeMesh-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.
properties_context_nearby_for_sale
ClaudeCurrently for-sale listings within radius_km of the property (newest first, max 30) with AVM and rent-yield comparison. Price: 20¢ per call.
properties_context_street_bedroom_series
ClaudeThe subject's bedroom band (bed count from listing history) and the suburb's 10-year price series for that band. Price: 15¢ per call.
properties_development_all
ClaudeWhat the planning scheme allows on this block: its zoning code and every planning overlay that touches it (heritage, flood, bushfire, height and so on, as published by the council). Answers "can I build on it, and what is restricted". Development applications in the surrounding area are a suburb-level call. Price: 8¢ per call.
properties_development_zoning_code
ClaudePrimary 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.
properties_development_zoning_overlays
ClaudeDevelopment overlays intersecting the property's parcel. Price: 5¢ per call.
properties_history_all
ClaudeEverything we hold on what this property has sold and rented for: the full sale history and the full rent history, each with its most recent record called out separately. This is the expensive one in the Property - History family, because it returns complete series rather than a latest figure. For "what did it last sell for", call /history/sale/latest instead. Price: 80¢ per call.
properties_neighbours
ClaudeAdjoining-parcel neighbours, enriched with address + property type + bed/bath/garage from the latest matching listing. Price: 30¢ per call.
properties_profile
ClaudeResolve 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.
properties_rent_history
ClaudeAll For Rent records, most-recent first. Price: 30¢ per call.
properties_rent_history_latest
ClaudeMost-recent For Rent record. Price: 10¢ per call.
properties_risks_all
ClaudeEvery 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.
properties_risks_bushfire
ClaudeBushfire-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.
properties_risks_environment
ClaudeEnvironmental-risk overlay (contamination, salinity, ...). Price: 3¢ per call.
properties_risks_erosion
ClaudeCoastal / soil erosion overlays within 1 km. Read on_property — a returned row means "found nearby", not "this property is eroding". Price: 3¢ per call.
properties_risks_flood
ClaudeModelled flood overlays within 1 km. Read on_property — a returned row means "found nearby", not "this property floods". Price: 10¢ per call.
properties_risks_heritage
ClaudeHeritage-listing overlays within 1 km. Read on_property — a returned row means "found nearby", not "this property is heritage-listed". Price: 3¢ per call.
properties_risks_historical_flood
ClaudeRecorded historical flood extents within 1 km. Read on_property — a returned row means "found nearby", not "this property flooded". Price: 3¢ per call.
properties_risks_hv_power_line
ClaudeHigh-voltage power-line easement near the parcel. Price: 2¢ per call.
properties_risks_landslide
ClaudeLandslide-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.
properties_risks_mobile_black_spot
ClaudeMobile-coverage black-spot overlay near the parcel. Price: 2¢ per call.
properties_risks_public_housing
ClaudePublic-housing concentration overlay near the parcel. Price: 4¢ per call.
properties_sale_history
ClaudeAll Sold + For Sale records, most-recent first. Price: 30¢ per call.
properties_sale_history_latest
ClaudeMost-recent Sold or For Sale record. Price: 10¢ per call.
properties_schools_all
ClaudeSchools for this address: the ones nearby with their distances, and how each ranks on NAPLAN alongside sector, level and attendance. The priciest bundle in the Property family, because it joins the school register, the ranking table and distance calculations. Call /schools/nearby alone if rankings do not matter. Price: 105¢ per call.
properties_schools_nearby
ClaudeSchools within ~5km of the property, with rank + student counts. Price: 5¢ per call.
properties_schools_ranking
ClaudeSchools within ~5km of the property, ranked by NAPLAN / socioeconomic score. Price: 100¢ per call.
properties_street_profile
ClaudeThe 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.
properties_surroundings_listing_history_signals
ClaudeLatest sold/rent dates and likely-owner-status signal per nearby property. Price: 20¢ per call.
properties_surroundings_parcels
ClaudeCadastral parcel polygons (GeoJSON) for properties around the subject. Price: 25¢ per call.
properties_surroundings_properties
ClaudeEvery GNAF property within 200 m of the subject, with lat/lng and mesh block. Price: 15¢ per call.
properties_surroundings_public_housing
ClaudeProperties around the subject flagged by the public-housing classifier. Price: 15¢ per call.
properties_surroundings_tenure
ClaudeABS Census 2021 tenure shares for each mesh block around the subject. Price: 15¢ per call.
properties_transport_nearby
ClaudeNearest 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.
properties_valuation_agent_quoting
ClaudeQuoting 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.
properties_valuation_all
ClaudeOur automated valuation for one property: the point estimate, the 80% range around it, and a 0-100 confidence score derived from how wide that range is. Today this bundles the single /valuation/avm call, so it costs the same; it exists so an agent can ask for "everything valuation" without tracking which valuation endpoints exist. Agent quoting behaviour, land values, negative gearing and the value series are separate calls. Price: 10¢ per call.
properties_valuation_avm
ClaudeMicroburbs 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.
properties_valuation_land_values
ClaudeCouncil 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.
properties_valuation_negative_gearing
ClaudeNegative-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.
properties_valuation_value_series
ClaudeModelled property value over time (monthly for the last year, annual before that). Houses only — units have no series. Price: 30¢ per call.
sa4_list
ClaudeAll Australian SA4s. Optional ?state= filter. Returns {sa4, state} per row. Flat cost. Price: 3¢ per call.
sa4_profile
ClaudeSA4's parent chain — GCCSA + state. Price: 3¢ per call.
suburbs_crime_breakdown
ClaudePer-crime-type rates (predicted incidents per 100,000 residents per year) for the suburb vs national medians.
suburbs_crime_by_mesh_block
ClaudeTotal 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).
suburbs_crime_summary
ClaudeSuburb and national total-crime medians (predicted incidents per 100,000 residents per year) with a vs-national verdict.
suburbs_demographics_age
ClaudePopulation by age bracket and gender.
suburbs_demographics_all
ClaudeWho lives in the suburb, from the census: population by age bracket and gender, and households by income bracket. Two calls bundled, priced as the sum. Tenure, employment, family make-up, schooling and the rest of the Suburb - Demographics family are separate.
suburbs_demographics_ancestry_map
ClaudeThe dominant ancestry (and its share) in each of the suburb's microburbs, plus suburb-level ancestry shares. Pilot coverage.
suburbs_demographics_business
ClaudeABN industry-mix pattern (Diverse / Professional-services-heavy / Mining-exposed / Low-commercial residential) plus the POI categories unusually common in the suburb, with named examples.
suburbs_demographics_cohorts
ClaudeHow the suburb ranks inside its SA4 region and against its touching neighbours on renter share, welfare dependency, overseas-born parents and public housing.
suburbs_demographics_cultural_integration
ClaudeSuburb cultural-integration composite (0-100) with national percentile and tier, plus the per-microburb scores behind it.
suburbs_demographics_income
ClaudeHousehold income breakdown by bracket.
suburbs_demographics_income_map
ClaudeMedian weekly household income for every microburb in the suburb, plus the suburb median, national percentile and highest/lowest pockets.
suburbs_demographics_population_history
ClaudeTotal 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?
suburbs_demographics_private_school
ClaudeShare of residents attending Catholic / Independent schools — suburb rollup plus the per-microburb shares behind it.
suburbs_demographics_single_parents
ClaudeSingle-parent-family share for the suburb against the pinned national median, with the associated capital-growth impact.
suburbs_demographics_tenure
ClaudeExplicit 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.
suburbs_demographics_underclass_drag
ClaudeWelfare-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.
suburbs_demographics_unemployment
ClaudeLabour-force-weighted unemployment rate for the suburb against the pinned national median, plus the per-microburb shares behind it.
suburbs_demographics_voting
ClaudeProjected first-preference shares per party, aggregated across the suburb's microburbs (booth-derived model — not an actual vote).
suburbs_development_all
ClaudeWhat is being built in the suburb: the count of development applications on record, and the list itself with each application's address, type and status. Read it as supply coming down the pipeline, and as a signal of where a suburb is changing.
suburbs_development_applications
ClaudeRecent development applications (up to 100, newest first) with category counts.
suburbs_development_building_controls
ClaudeHeight-of-building and floor-space-ratio control polygons with band summaries.
suburbs_development_construction_activity
ClaudeSatellite-detected construction change per mesh block plus a suburb rollup.
suburbs_development_council_intelligence
ClaudeCouncil 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.
suburbs_development_council_rates
ClaudeAverage annual residential council rate for the suburb's LGA.
suburbs_development_da_count
ClaudeCount of recent development applications in the suburb.
suburbs_development_da_list
ClaudeRecent development applications lodged in the suburb.
suburbs_development_density
ClaudeDwellings and people per km², plus the land area and counts behind them.
suburbs_development_profile
ClaudeDwelling-mix scalars — apartment share and average lot size.
suburbs_development_supply
ClaudeNew dwellings (last 24 months) split units vs houses per mesh block plus a rollup.
suburbs_development_zoning_map
ClaudeZoning polygons clipped to the suburb, with per-class and parent-group area shares.
suburbs_ethnicity_all
ClaudeCultural make-up of the suburb from the census: ancestry breakdown and country of birth, each as a share of residents. Useful for understanding who a suburb's buyers and renters are. The map version, which splits these by mesh block, is a separate call.
suburbs_ethnicity_ancestry
ClaudeAncestry breakdown from the ABS census.
suburbs_ethnicity_birthplace
ClaudeCountry-of-birth breakdown from the ABS census.
suburbs_finder_count
ClaudeHow 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.
suburbs_finder_fields
ClaudeEvery 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. Free.
suburbs_finder_regions
ClaudeSA4 regions grouped by state — the values accepted by states / regions on search. 0c. Free.
suburbs_finder_search
ClaudeBoolean-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.
suburbs_forecast_sale
Claude1-year sale-price growth forecast (low / most-likely / high).
suburbs_hero_neighbours
ClaudeNearest neighbouring suburbs with distance in km, closest first.
suburbs_hero_price_growth_12mo
Claude12-month sale-price growth by property type (house / unit).
suburbs_hero_summary
ClaudeState, SA3/SA4, postcode, population, dwellings and centroid for the suburb.
suburbs_lifestyle_cbd
ClaudeStraight-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.
suburbs_lifestyle_landmarks
ClaudeNearest beach and hospital with straight-line distances (null = none within ~50 km).
suburbs_lifestyle_livability
ClaudeLivability scores (0–100) per dimension, aggregated from mesh-block scores, with the SA4 benchmark.
suburbs_lifestyle_livability_map
ClaudeAll 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`.
suburbs_lifestyle_narrative
ClaudeOne plain-English sentence per livability dimension for the suburb.
suburbs_lifestyle_poi_impacts
ClaudeWhat the absence of petrol stations, fast food and bottle shops near sold properties was worth.
suburbs_lifestyle_pois
ClaudeEvery 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.
suburbs_lifestyle_summary
ClaudePOI category breakdown, terrain scalars, nearest train/shop and beach/hospital flags.
suburbs_list
ClaudeList 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. Free.
suburbs_listings_for_sale
ClaudeCurrent 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.
suburbs_market_affordability
ClaudeMicroburbs affordability index for the suburb's postcode area.
suburbs_market_all
ClaudeThe 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.
suburbs_market_bedroom_stats
ClaudeHouse/unit price, sales volume, median bath/car/land, and stock mix per bedroom count.
suburbs_market_built_year
ClaudeEstimated build-year profile — suburb aggregate + per-mesh-block medians.
suburbs_market_comparable_suburbs
ClaudeSame-SA3 comparable-suburb candidates (canonical SAL names).
suburbs_market_days_on_market
ClaudeMedian days on market for current listings.
suburbs_market_days_on_market_benchmark
ClaudeMedian days on market across the suburb's greater region (GCCSA) — compare with /market/days-on-market.
suburbs_market_growth_drivers
ClaudePer-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.
suburbs_market_investor_concentration
ClaudeRental (investor) share per mesh block, with a suburb-wide rollup.
suburbs_market_land_values
ClaudeSuburb land-value medians ($/sqm, lot size, land share of price) + per-mesh-block $/sqm.
suburbs_market_median_price_map
ClaudeMedian 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`.
suburbs_market_median_rent
ClaudeLatest median weekly rent for the suburb.
suburbs_market_median_rent_series
ClaudeFull 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.
suburbs_market_median_sale_price
ClaudeLatest median sale price for the suburb.
suburbs_market_median_sale_price_series
ClaudeFull 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.
suburbs_market_months_of_supply
ClaudeHow 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.
suburbs_market_mortgage_stress
ClaudeMortgage-stress score (0-100) for the suburb, with per-mesh-block breakdown.
suburbs_market_price_growth
ClaudePast 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.
suburbs_market_price_growth_5y
Claude5-year compound sale-price growth (decimal).
suburbs_market_recent_price_movement
ClaudeThe last four weekly smart-median observations — house price, unit price and house rent — each with its week-on-week percentage change.
suburbs_market_rent_map
ClaudeMedian 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`.
suburbs_market_repeat_sales
ClaudeRealised resale growth — summary + individual buy/sell pairs (max 500).
suburbs_market_stock_on_market
ClaudeProperties currently listed for sale in the suburb, split house/unit, with the suburb's rank among its peers.
suburbs_market_strata_levies
ClaudeMedian estimated annual strata levy for the suburb.
suburbs_market_supply_pressure
ClaudeFor-sale listings per 100 dwellings (90 days) — per mesh block + suburb rollup.
suburbs_market_transaction_volume
ClaudeRecent sale-transaction count for the suburb.
suburbs_market_vacancy_map
ClaudeCalibrated rental-vacancy rate for each mesh block in the suburb.
suburbs_market_vacancy_rate
ClaudeSuburb-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.
suburbs_market_vacancy_rate_series
ClaudeFull rental-vacancy history by property type, decimal fractions.
suburbs_market_yield_map
ClaudeGross 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`.
suburbs_market_yield_pct
ClaudeGross rental yield = median rent annualised / median sale price.
suburbs_market_yield_pct_series
ClaudeFull gross-rental-yield history by property type, decimal fractions.
suburbs_profile
ClaudeThe 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).
suburbs_risks_all
ClaudeNatural-hazard exposure for the suburb: how much of its area sits inside a designated bushfire-prone area and inside a modelled flood overlay, each with a plain risk band and the number of distinct hazard polygons. Pass geojson=true to get the hazard shapes themselves, clipped to the suburb boundary, in the same call. Slope, heritage, power lines and the per-property hazard counts are separate calls.
suburbs_risks_bushfire
ClaudeShare 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.
suburbs_risks_capital_growth_impact
ClaudeMatched-study capital-growth impact (%/yr) for bushfire, flood, contamination, mine subsidence, aircraft noise and surface acid sulfate, scaled by the share of properties affected.
suburbs_risks_counts
ClaudeCounts of contamination points, heritage items and erosion-prone polygons inside the suburb.
suburbs_risks_flood
ClaudeShare 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.
suburbs_risks_heritage_share
ClaudeShare of the suburb's properties inside a heritage polygon.
suburbs_risks_hv_power_lines
ClaudeWhether high-voltage transmission lines cross the suburb, how many, and the highest voltage class (overhead lines only).
suburbs_risks_property_hazard_counts
ClaudeCounts and shares of the suburb's properties flagged bushfire / flood / mine-subsidence / contamination / aircraft-noise / acid-sulfate.
suburbs_risks_slope
ClaudeMedian / 90th-percentile property gradient and share of steep (>10°) properties.
suburbs_sales_recent
ClaudeProperties 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.
suburbs_sales_summary
ClaudeNumber of sales and median sold price in the suburb over the last 3 years.
suburbs_schools_all
ClaudeSchools for a suburb: which public catchments cover it, and which schools sit nearby regardless of zone, with NAPLAN rank, sector, level and attendance for each. Catchments answer "where would my child be guaranteed a place"; nearby answers "what else is within reach".
suburbs_schools_catchment
ClaudePublic-school catchment polygons covering the suburb.
suburbs_schools_nearby
ClaudeSchools serving / near the suburb, with rank + attendance data.
suburbs_shapes_boundary
ClaudeSimplified SAL boundary polygon (GeoJSON Feature) plus centroid.
suburbs_shapes_busy_roads
ClaudeBusy-road line segments clipped to the suburb — the report's road-noise exposure proxy.
suburbs_shapes_easements
ClaudeRegistered easement geometries intersecting the suburb (GeoJSON FeatureCollection).
suburbs_shapes_hazards
ClaudeHazard polygons for one layer, clipped to the suburb boundary (empty collection = hazard not present).
suburbs_shapes_mesh_blocks
ClaudeABS 2021 mesh-block polygons covering the suburb (GeoJSON FeatureCollection, MB code per feature).
suburbs_shapes_neighbours
ClaudeNeighbouring suburbs as a GeoJSON FeatureCollection — each with its boundary polygon and distance in km.
suburbs_shapes_noise_heatmap
ClaudePrecomputed noise colour regions clipped to the suburb, plus cell-centre heat points.
suburbs_shapes_public_housing_sa1
ClaudeSA1 polygons in the suburb with their 2021 census public-housing share (only SA1s above 0%).
suburbs_similar
ClaudeTop-10 suburbs ranked closest by Microburbs' similarity model.
suburbs_street_forecasts
Claude2/4/8-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.
