One Page per Neighborhood, With Data Calculated Inside Its Real Boundary
The listings, the medians and the local facts on a Brickell page come from the Brickell polygon — not from a city field that says "Miami" and not from a ZIP code. The reference site includes 19 curated profiles, and the area-intelligence dataset behind the practical facts covers 163 South Florida areas and is rebuilt monthly.
One profile, top to bottom
The live market snapshot sits directly above the practical rows, and the source line with as-of dates sits directly under them.
Editorial Context and Live Data, Clearly Separated
Half of a neighborhood profile is written and stays written. The other half is recomputed against the boundary every time the page is served. They are kept visibly separate.
The editorial half
Each profile carries a short description, a full description, a highlights list, a lifestyle paragraph and a stats block with price range, population and walk score. All of it is written in English, Spanish, Russian, French and Portuguese, and each language is its own route with its own canonical URL and hreflang alternates.
- Short description, full description, highlights, lifestyle paragraph
- Stats block: price range, population, walk score
- Five locale routes, five canonical URLs
- The copy describes the built environment, never the people who live there
The live half
The page calls the site's own neighborhood-stats endpoint and prints median sale price, median price per square foot, median days on market and the active count. Every one of those figures is computed over Active for-sale listings whose coordinates fall inside that neighborhood's mapped polygon.
- Medians over up to 200 of the most recent Active for-sale listings
- Suppressed entirely when the sample is too thin — the written facts stay
- Sale and rent inventory for the same polygon, behind one toggle
- Opens on Rent when the area has rentals and no for-sale inventory
Where every practical fact comes from
The practical block reads a monthly area-intelligence dataset covering 163 South Florida areas. Each source inside it carries its own status and its own as-of date, and the page prints them. A row whose source value is unusable is removed from the page rather than filled with a stale or invented number.
Federal dataset
FEMA National Flood Hazard Layer
Flood zone for the area, base flood elevation in feet, and whether flood insurance is typically required.
Printed with its own as-of date. It describes the mapped area, not a specific parcel.
Routing snapshot
OSRM over OpenStreetMap
Drive minutes to the nearest airport and to modelled public beach access.
A routing snapshot with a stated date. There is no live traffic in these figures.
Open data
OpenStreetMap (Overpass)
The dining, grocery, park and transit counts that sit under the Amenity Access Index.
Counted inside the true mapped polygon, so a neighborhood is not credited with a city's amenities.
WebGrowly measure
Amenity Access Index
A single 0–100 figure on the profile.
Dining 35%, grocery 30%, parks 20%, transit 15%, computed as density inside the polygon area in km². The footnote on the page states that it is not a walkability score.
Directory
Urban Institute / NCES CCD 2024 school directory
The number of school-directory entries inside the boundary, plus the three nearest.
Directory entries only — not attendance boundaries, not assignments, not ratings.
Census
US Census ACS 5-year, with 2020 block allocation
Population, mean commute minutes and median household income, each with its margin of error.
Official places use direct ACS estimates. Neighborhood figures are modelled from block-group and tract data allocated by 2020 block population and occupied housing, and any metric that fails the reliability threshold is withheld rather than shown.
Live
The connected MLS feed
Median sale price, median price per square foot, median days on market and the active count.
Recomputed per request over the polygon. Suppressed below a workable sample size instead of printing a median built from three homes.
What one profile page contains
In the order the visitor meets it.
- 01
Short description, full description and highlights
Authored per area, in all five site languages.
- 02
Lifestyle paragraph and the stats block
Price range, population and walk score, written alongside the prose rather than pulled from a widget.
- 03
Live market snapshot
Median sale price, median price per square foot, median days on market and the active count, computed inside the polygon.
- 04
Listings for the same polygon
Sale and rent inventory behind one toggle, opening on Rent when the area has rentals and nothing for sale.
- 05
Flood
FEMA zone, base flood elevation in feet, and whether flood insurance is typically required.
- 06
Amenity Access Index
The 0–100 figure, with its weighting and its "not a walkability score" footnote.
- 07
Schools
How many school-directory entries fall inside the boundary, and the three nearest of them.
- 08
Drive times
Minutes to the nearest airport and to modelled public beach access.
- 09
Census rows
Population, mean commute minutes and median household income — each printed with its margin of error.
- 10
Five area-specific FAQ pairs per language
Emitted as FAQPage JSON-LD alongside Place and BreadcrumbList schema.
- 11
An interactive Mapbox map and three service paths
Luxury, Residential and Commercial, ending in a CTA that opens Compare Areas with this area already loaded.
- 12
The source line
Every dataset named, every as-of date printed, under the rows they produced.
What these pages do not claim
Stated here because the page states it too.
- The flood row is FEMA's mapped zone for the area. It is not a flood-insurance determination for any specific parcel.
- School figures are counts of directory entries inside the boundary. They are not attendance boundaries, not assignments and not quality ratings.
- Census values are estimates with margins of error, and neighborhood-level figures are modelled rather than measured. A metric that fails the reliability threshold is withheld.
- Drive times come from a routing snapshot with a stated date, not from live traffic.
- Medians are market statistics computed over the current Active set. Nothing on the page is an appraisal.
- The copy describes places, not people. No page characterises who lives in an area, and no area is presented as safer, better or more desirable than another.
- We make no claim about search rankings, index coverage, traffic or lead volume. What is described here is what the page contains.
Where it sits
Before
Neighborhood Match Quiz
Seven answers produce a shortlist of three areas, and each result card links straight into that area's profile.
This page
Neighborhood Pages
The visitor reads the area: written context on one side, live inventory and dated facts on the other.
Next
Compare Areas
The CTA at the foot of the profile opens Compare Areas with this area already loaded in one column.
Then
Leads
An inquiry from a profile arrives in WebGrowly OS carrying the Neighborhood page and area name as its origin.
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