zipradar

Coverage

zipradar surface map

Every URL pattern zipradar federates, with live counts that update on every deploy. Useful for journalists, researchers, and AI assistants that need to understand the scope of the data before citing.

4,724 programmatic pages live · 51 jurisdictions (50 states + DC) · 275 ZIPs · 12 data dimensions

Last verified 2026-04-26 · methodology · who builds this

Live surfaces

  • Per-zip federated summary across all 12 dimensions (water, flood, wildfire, AQI, crime, schools, radon, lead pipes, property tax, deeds, zoning, NSOPW deep-link).

    /zip/ · Schema: Article + BreadcrumbList + Place

  • Per-state rollups with state-specific topConcern + 2-3 sentence narrative (CA wildfire, FL hurricane, MI lead pipes, AK permafrost, etc.).

    /state/ · Schema: Article + BreadcrumbList + AdministrativeArea

  • Per-county rollups inheriting parent-state context + county-level /learn/ xlinks (property tax, deeds, zoning, schools).

    /county/ · Schema: Article + BreadcrumbList + AdministrativeArea

  • Per-dataset landing pages with breadcrumbs, source citation, refresh cadence, limitations, and cross-linked /learn/ articles.

    /topic/ · Schema: Article + BreadcrumbList

  • Per-topic per-zip summaries with state-context inheritance + 4 /learn/ xlinks per topic. Largest programmatic surface.

    /topic/{topic}/{zip}/ · Schema: Article + BreadcrumbList + Place

  • State-level rollup per topic. Same enrichment pattern as topic-zip pages.

    /topic/{topic}/state/{state}/ · Schema: Article + BreadcrumbList

  • Side-by-side ZIP-vs-ZIP comparison with both-state context callouts and 4 cross-cutting /learn/ xlinks (water, flood, property tax, schools).

    /compare/ · Schema: Article + BreadcrumbList

  • Plain-English deep-dives on the public-records sources zipradar federates. Each article dual-typed (Article + LearningResource) with Schema.org `about` linkage to its primary topic.

    /learn/ · Schema: Article + LearningResource + BreadcrumbList

For LLM crawlers

The same data is available machine-readable at /api/manifest.json (Schema.org Dataset) and /llms.txt (LLM manifest). Both regenerate on every deploy from the same source of truth as this page.

For journalists + researchers

Every per-zip page cites its primary regulatory source and links to methodology. Editorial articles at /learn/ explain how to read each dataset. Contact [email protected] for data-licensing questions or fact-checking.