Microburbs Australian Property Data

au.com.microburbs/property-data · v1.0.0

Australian property and suburb data: valuations, sales, rents, schools, risk and zoning.

MCPremoteAPI keyReal estate

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 173 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 82/100

What it does: 173 tools · 173 read, 0 write

Test call ping: worked (1,067 ms)

How the rating is made

Answers without login: +30
Speed of first answer: +6
Lists tools: +10
Tool descriptions: +15
Parameter descriptions: +1
Read/write annotations: +5
Safe test call: +20
More than 80 tools: -5

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL

https://api.microburbs.com.au/mcp

Tools

173 tools listed at last check

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. **Free.**
me Return the calling account and its current prepaid credit balance. **Free.**
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.**
properties_basics_bed_count Bedroom count from the latest matching listing. **Price: 5¢ per call.**
properties_basics_bath_count Bathroom count from the latest matching listing. **Price: 5¢ per call.**
properties_basics_parking_count Parking-space count from the latest matching listing. **Price: 5¢ per call.**
properties_basics_dwelling_type Dwelling type (house, unit, townhouse, ...). **Price: 5¢ per call.**
properties_basics_land_area_sqm Parcel land area in square metres from the cadastral feed. **Price: 3¢ per call.**
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.**
properties_sale_history All Sold + For Sale records, most-recent first. **Price: 30¢ per call.**
properties_sale_history_latest Most-recent Sold or For Sale record. **Price: 10¢ per call.**
properties_rent_history All For Rent records, most-recent first. **Price: 30¢ per call.**
properties_rent_history_latest Most-recent For Rent record. **Price: 10¢ per call.**
properties_neighbours Adjoining-parcel neighbours, enriched with address + property type + bed/bath/garage from the latest matching listing. **Price: 30¢ per call.**
properties_comparables_cma_comp_set Top comparable sales used to triangulate the subject property's value. **Price: 60¢ per call.**
properties_comparables_cma_single_comp Single best comparable from the CMA set (highest dist_score). **Price: 10¢ per call.**
properties_comparables_recent_sales_nearby Recent comparable sales in a small radius around the subject parcel. **Price: 4¢ per call.**
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.**
properties_development_zoning_overlays Development overlays intersecting the property's parcel. **Price: 5¢ per call.**
properties_schools_nearby Schools within ~5km of the property, with rank + student counts. **Price: 5¢ per call.**
properties_schools_ranking Schools within ~5km of the property, ranked by NAPLAN / socioeconomic score. **Price: 100¢ per call.**
properties_amenities_nearby Curated amenities (supermarkets, green spaces, restaurants/cafes) within `radius_m` of the property, bucketed and nearest-first. **Price: 10¢ per call.**
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.**
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.**
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.**
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.**
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.**
properties_risks_public_housing Public-housing concentration overlay near the parcel. **Price: 4¢ per call.**
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.**
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.**
properties_risks_environment Environmental-risk overlay (contamination, salinity, ...). **Price: 3¢ per call.**
properties_risks_hv_power_line High-voltage power-line easement near the parcel. **Price: 2¢ per call.**
properties_risks_mobile_black_spot Mobile-coverage black-spot overlay near the parcel. **Price: 2¢ per call.**
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.**
properties_valuation_all Our 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 tracki
properties_basics_all The 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_history_all Everything 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
properties_comparables_all The 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
properties_development_all What 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-le
properties_schools_all Schools 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 ranking
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).
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 s
suburbs_market_median_sale_price Latest median sale price for the suburb.
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.
suburbs_market_median_rent Latest median weekly rent for the suburb.
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.
suburbs_market_price_growth_5y 5-year compound sale-price growth (decimal).
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.
suburbs_market_yield_pct Gross rental yield = median rent annualised / median sale price.
suburbs_market_days_on_market Median days on market for current listings.
suburbs_market_transaction_volume Recent sale-transaction count for the suburb.
suburbs_forecast_sale 1-year sale-price growth forecast (low / most-likely / high).
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 de
suburbs_demographics_age Population by age bracket and gender.
suburbs_demographics_income Household income breakdown by bracket.
suburbs_ethnicity_ancestry Ancestry breakdown from the ABS census.
suburbs_ethnicity_birthplace Country-of-birth breakdown from the ABS census.
suburbs_schools_catchment Public-school catchment polygons covering the suburb.
suburbs_schools_nearby Schools serving / near the suburb, with rank + attendance data.
suburbs_development_da_count Count of recent development applications in the suburb.
suburbs_development_da_list Recent development applications lodged in the suburb.
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
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
suburbs_similar Top-10 suburbs ranked closest by Microburbs' similarity model.
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
suburbs_demographics_all Who 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_ethnicity_all Cultural 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_schools_all Schools 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_development_all What 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_risks_all Natural-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 bound
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.**
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.**
lga_list All Australian LGAs. Optional `?state=` filter (e.g. 'NSW'). Returns `{lga, state}` per row. Flat cost. **Price: 3¢ per call.**
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.**
sa4_list All Australian SA4s. Optional `?state=` filter. Returns `{sa4, state}` per row. Flat cost. **Price: 3¢ per call.**
sa4_profile SA4's parent chain — GCCSA + state. **Price: 3¢ per call.**
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.**
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. **Free.**
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
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. **Free.**
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.**
suburbs_hero_summary State, SA3/SA4, postcode, population, dwellings and centroid for the suburb.
suburbs_hero_neighbours Nearest neighbouring suburbs with distance in km, closest first.
suburbs_hero_price_growth_12mo 12-month sale-price growth by property type (house / unit).
suburbs_market_mortgage_stress Mortgage-stress score (0-100) for the suburb, with per-mesh-block breakdown.
suburbs_market_investor_concentration Rental (investor) share per mesh block, with a suburb-wide rollup.
suburbs_market_built_year Estimated build-year profile — suburb aggregate + per-mesh-block medians.
suburbs_market_vacancy_map Calibrated rental-vacancy rate for each mesh block in the suburb.
suburbs_market_land_values Suburb land-value medians ($/sqm, lot size, land share of price) + per-mesh-block $/sqm.
suburbs_market_strata_levies Median estimated annual strata levy for the suburb.
suburbs_market_affordability Microburbs affordability index for the suburb's postcode area.
suburbs_market_bedroom_stats House/unit price, sales volume, median bath/car/land, and stock mix per bedroom count.
suburbs_market_repeat_sales Realised resale growth — summary + individual buy/sell pairs (max 500).
suburbs_market_supply_pressure For-sale listings per 100 dwellings (90 days) — per mesh block + suburb rollup.
suburbs_market_days_on_market_benchmark Median days on market across the suburb's greater region (GCCSA) — compare with /market/days-on-market.
suburbs_market_comparable_suburbs Same-SA3 comparable-suburb candidates (canonical SAL names).
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``.
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``.
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
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 pa
suburbs_sales_summary Number of sales and median sold price in the suburb over the last 3 years.
suburbs_crime_summary Suburb and national total-crime medians (predicted incidents per 100,000 residents per year) with a vs-national verdict.
suburbs_crime_breakdown Per-crime-type rates (predicted incidents per 100,000 residents per year) for the suburb vs national medians.
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).
suburbs_risks_property_hazard_counts Counts and shares of the suburb's properties flagged bushfire / flood / mine-subsidence / contamination / aircraft-noise / acid-sulfate.
suburbs_risks_extras Landslide / storm-tide coverage, EPA notices, landlord-insurance medians and crime benchmark, with per-microburb detail.
suburbs_risks_counts Counts of contamination points, heritage items and erosion-prone polygons inside the suburb.
suburbs_risks_slope Median / 90th-percentile property gradient and share of steep (>10°) properties.
suburbs_risks_heritage_share Share of the suburb's properties inside a heritage polygon.
suburbs_lifestyle_summary POI category breakdown, terrain scalars, nearest train/shop and beach/hospital flags.
suburbs_lifestyle_poi_impacts What the absence of petrol stations, fast food and bottle shops near sold properties was worth.
suburbs_lifestyle_livability Livability scores (0–100) per dimension, aggregated from mesh-block scores, with the SA4 benchmark.
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`, `s
suburbs_lifestyle_landmarks Nearest beach and hospital with straight-line distances (null = none within ~50 km).
suburbs_lifestyle_narrative One plain-English sentence per livability dimension for the suburb.
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 to
suburbs_development_zoning_map Zoning polygons clipped to the suburb, with per-class and parent-group area shares.
suburbs_development_building_controls Height-of-building and floor-space-ratio control polygons with band summaries.
suburbs_development_construction_activity Satellite-detected construction change per mesh block plus a suburb rollup.
suburbs_development_supply New dwellings (last 24 months) split units vs houses per mesh block plus a rollup.
suburbs_development_profile Dwelling-mix scalars — apartment share and average lot size.
suburbs_development_council_rates Average annual residential council rate for the suburb's LGA.
suburbs_development_applications Recent development applications (up to 100, newest first) with category counts.
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?
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.
suburbs_demographics_voting Projected first-preference shares per party, aggregated across the suburb's microburbs (booth-derived model — not an actual vote).
suburbs_demographics_ancestry_map The dominant ancestry (and its share) in each of the suburb's microburbs, plus suburb-level ancestry shares. Pilot coverage.
suburbs_demographics_cultural_integration Suburb cultural-integration composite (0-100) with national percentile and tier, plus the per-microburb scores behind it.
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_ye
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.
suburbs_demographics_income_map Median weekly household income for every microburb in the suburb, plus the suburb median, national percentile and highest/lowest pockets.
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 p
suburbs_shapes_boundary Simplified SAL boundary polygon (GeoJSON Feature) plus centroid.
suburbs_shapes_neighbours Neighbouring suburbs as a GeoJSON FeatureCollection — each with its boundary polygon and distance in km.
suburbs_shapes_mesh_blocks ABS 2021 mesh-block polygons covering the suburb (GeoJSON FeatureCollection, MB code per feature).
suburbs_shapes_hazards Hazard polygons for one layer, clipped to the suburb boundary (empty collection = hazard not present).
suburbs_shapes_public_housing_sa1 SA1 polygons in the suburb with their 2021 census public-housing share (only SA1s above 0%).
suburbs_shapes_noise_heatmap Precomputed noise colour regions clipped to the suburb, plus cell-centre heat points.
suburbs_shapes_easements Registered easement geometries intersecting the suburb (GeoJSON FeatureCollection).
suburbs_shapes_busy_roads Busy-road line segments clipped to the suburb — the report's road-noise exposure proxy.
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.**
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.**
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.**
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.**
properties_surroundings_properties Every GNAF property within 200 m of the subject, with lat/lng and mesh block. **Price: 15¢ per call.**
properties_surroundings_tenure ABS Census 2021 tenure shares for each mesh block around the subject. **Price: 15¢ per call.**
properties_surroundings_public_housing Properties around the subject flagged by the public-housing classifier. **Price: 15¢ per call.**
properties_surroundings_parcels Cadastral parcel polygons (GeoJSON) for properties around the subject. **Price: 25¢ per call.**
properties_surroundings_listing_history_signals Latest sold/rent dates and likely-owner-status signal per nearby property. **Price: 20¢ per call.**
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.**
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.**
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.**
suburbs_market_stock_on_market Properties currently listed for sale in the suburb, split house/unit, with the suburb's rank among its peers.
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.
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.
suburbs_market_yield_pct_series Full gross-rental-yield history by property type, decimal fractions.
suburbs_market_vacancy_rate_series Full rental-vacancy history by property type, decimal fractions.
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.
suburbs_risks_hv_power_lines Whether high-voltage transmission lines cross the suburb, how many, and the highest voltage class (overhead lines only).
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.
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 compos
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`.
suburbs_demographics_unemployment Labour-force-weighted unemployment rate for the suburb against the pinned national median, plus the per-microburb shares behind it.
suburbs_demographics_single_parents Single-parent-family share for the suburb against the pinned national median, with the associated capital-growth impact.
suburbs_demographics_private_school Share of residents attending Catholic / Independent schools — suburb rollup plus the per-microburb shares behind it.
suburbs_development_density Dwellings and people per km², plus the land area and counts behind them.
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.
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``.
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 ro
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. Uni
suburbs_finder_regions SA4 regions grouped by state — the values accepted by `states` / `regions` on search. 0c. **Free.**
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.**
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

Badge

Markdown for your README

[![Connect-MCP](https://clawy.uk/mcp/badge/au.com.microburbs/property-data.svg)](https://clawy.uk/mcp/s/au.com.microburbs/property-data)

Website