About MapGrid
MapGrid is a national interactive mapping platform that puts regulatory overlays, parcel data, environmental risk scoring, and tax sale calendars on one map. Instead of stitching together a dozen county viewers and state portals for a single property, you search once and see the parcels, flood zones, wetlands, contaminated sites, zoning districts, and upcoming tax sales together — with the attribution to trace every layer back to its government source.
FEMA flood zones, EPA sites, Opportunity Zones, and protected lands across all 50 states.
Parcels, environmental records, and zoning in the states we serve — and growing.
Every source is reviewed for redistribution rights before ingestion.
Who it’s for
- Tax-lien investors — a tax sale calendar across counties, with parcel detail and environmental risk beside every listing.
- LSRPs and environmental consultants — contaminated-site databases, wetlands, and flood hazards around a subject property, ready for screening review.
- Developers — zoning districts, buildable-area constraints, and overlays that shape what a site can become.
- Planners — normalized zoning and land-use layers to compare jurisdictions without re-learning every county’s viewer.
How we source data
MapGrid ingests directly from federal, state, county, and municipal GIS services — FEMA, EPA, USFWS, and Census at the federal level, plus state DEP/DEQ databases, county parcel feeds, and municipal zoning layers. We review each source’s licensing terms before ingesting it, attribute every layer to its publishing agency, and retire any source whose terms don’t permit redistribution. The full list, with attribution and licensing notes, is on the data sources page.
Coverage, honestly
Regulatory overlays are national. Parcel boundaries, environmental records, zoning, and tax sale coverage vary by state — we publish exactly which jurisdictions each layer covers rather than implying everything is everywhere, and the coverage notes on each plan say the same. If a state you need isn’t served yet, it may be one whose data terms don’t yet permit commercial redistribution; we’d rather say that than serve data we can’t stand behind.