Parcel Analytics
Executive View of Parcel Condition, Ownership, Geography, Assessed Value, and Redevelopment Opportunity.
Utilization Status
Active, Vacant, and Underused Parcels by Assessed Land and Building Value.
Land Use by Classification
Leading Land-Use Categories Across the Current Parcel Selection.
Inferred Ownership
Likely Owner Types Interpreted from Parcel Ownership Records.
Vacancy by Land Use Function
Vacant and Underused Parcels Compared Across Land-Use Functions.
ZIP Code Area Distribution
Visible Parcels Organized by ZIP-Code Area for Neighborhood Review.
Ward Opportunity Profile
Ward-Level Vacancy, Ownership, Lot Size, and Cluster Opportunity Indicators.
Value vs. Improvement Ratio
Assessed Land Value Compared with Building Value as a Share of Land Value.
Land vs. Improvement Value Split
Total Assessed Value Divided Between Land and Building Improvements.
In-Frame Lot Analytics
Viewport-only readout for the lots currently inside the map frame. Pan or zoom the parcel map, then return here to review the bounded area.
Frame Status Mix
Vacant, underutilized, and active lots inside the current map frame.
Ownership In Frame
Owner categories for lots currently inside the viewport.
Land Use In Frame
Leading land-use classifications in the visible frame.
Neighborhoods In Frame
Dominant geographies represented by the current frame.
Zoning In Frame
Visible lots grouped by zoning category.
Highest-Scoring Lots
Priority parcels inside the frame, sorted by opportunity score.
Key Findings and Intelligence
Professional decision notes showing where opportunity is concentrated, which ownership types matter most, and how zoning or clustering can guide action.
Where are vacant or underutilized parcels concentrated?
——
Which clusters could support coordinated development?
——
What types of ownership dominate these parcels?
——
Which zoning categories shape development opportunity?
——
Vacant and underutilized classification rule
Vacant means the parcel has no recorded building value. Likely underutilized means the building value is present but low compared with the land value. Active means the building value is above that threshold.
How Opportunity Score Works
The opportunity score is a transparent 0-100 triage signal for identifying parcels that may deserve closer review for reuse, acquisition, partnership, or land banking.
Opportunity Score Calculation
The score adds points for parcel conditions that suggest stronger public-interest review value. It is not a final development decision; it is a screening tool for prioritizing where to look first.
Dashboard Documentation
A practical team guide for finding parcels, interpreting map colors, understanding opportunity classifications, selecting priority sites, and exporting decision-ready results.
Start With the Command Palette
Press ⌘K or click Filters in the top bar to open the command palette. Use status, ownership, geography, zoning, and value range controls to narrow the visible parcel universe. All KPIs, charts, and the map update instantly.
Understand Utilization Status
Vacant parcels have no recorded building value. Underutilized parcels have some building value, but it is low compared with the land value. Active parcels have stronger building value relative to the land. This method uses county assessment values instead of postal vacancy flags.
Navigate the Map
Click any parcel on the map to open its detail popup. Use "Full record" to inspect the available parcel information. Turn on clusters to see nearby priority parcels that may support coordinated development. Zoom in to move from quick point rendering to full parcel shapes.
Select and Track Parcels
Check the box beside any high-opportunity parcel in the sidebar list, or use the "Select" button in the popup. Selected parcels persist across filter changes and can be exported independently from the full filtered set.
Export and Report
Export all visible parcels as CSV, export only selected parcels, generate a JSON data package, or produce a full HTML report with KPIs, opportunity tables, and current filter conditions. Use the Export dock that appears when parcels are selected.
Use the AI Parcel Assistant
Click the AI button to open the intelligent assistant. Ask questions in plain English: "how many vacant parcels?", "show R-3 parcels", "ownership breakdown", "report for nonprofit". The assistant reads the live dataset and answers deterministically — no API key needed.
Video Presentation
Recorded walkthrough of the Newark Parcel Intelligence dashboard, including the map workflow, parcel details, methodology, and reference data context.
Data Sources
Regrid and Parcel Data of New Jersey were merged and used for field attributes. The 388 extracted parcel records were added later to update parcel ownerships.
Data Explorer
Browse, sort and export the current filtered parcel dataset.
No parcels match the current filters
SQL Developer Console
Query the live parcel dataset with field conditions. Results apply instantly across all dashboard views.
SELECT * FROM parcels -- no conditions
Run a query to see results here