CrimeScore Blog
Notes on crime data, maps, and neighborhood risk.
Practical writing for product teams working with crime data APIs, neighborhood safety scores, real estate location intelligence, and embeddable map layers.
Crime Data API vs Crime Score API: What Product Teams Actually Need
Raw crime data and normalized crime scores solve different product problems. Here is how to choose the right layer for your app.
How to Add a Neighborhood Safety Score to a Real Estate Platform
A practical guide for adding neighborhood safety scores, crime map embeds, and recent activity context to property search products.
Where ZIP Code Crime Data Fits in Property Search
ZIP-code crime data is useful for broad search and market pages, but property-level products usually need a local score alongside it.
Crime Map API: Incidents, Risk Scores, and Embedded Maps Explained
A crime map API can show raw incidents, modeled risk scores, or embedded safety layers. Here is how those pieces fit together.
How CrimeScore Turns Raw Crime Data Into Neighborhood Risk Scores
A plain-language walkthrough of how CrimeScore normalizes crime data, Census predictors, model outputs, and percentile scores.
What Developers Should Look For in a Crime Data API
A developer-focused checklist for evaluating crime APIs, crime score APIs, map embeds, authentication, quotas, and response design.