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.
Original Research
New CrimeScore data report
ZIP Code Guides
Crime data by ZIP code and ZCTA
Guides for teams evaluating public ZIP lookup, Census ZCTA estimates, and ZIP-aware crime score API workflows.
How to Look Up Crime Data by ZIP Code
A practical guide to using ZIP code crime maps, understanding ZCTA estimates, and knowing when exact coordinates are better.
ZIP Code vs ZCTA: What Crime Data Users Should Know
Why Census ZCTAs are used for ZIP-style mapping, how they differ from USPS ZIP codes, and what that means for risk analysis.
Using a Crime Score API With ZIP Codes
How product teams can combine ZIP lookup, coordinate scores, and embedded maps without exposing raw incident feeds.
More Articles
CrimeScore product and data notes
Try a Crime Data API Before You Build
Developers can create an account, explore public Safety Scores, and start a seven-day monthly Starter trial before integrating CrimeScore.
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, Safety Scores, and Embedded Maps Explained
A crime map API can show raw incidents, modeled Safety Scores, or embedded safety layers. Here is how those pieces fit together.
How CrimeScore Turns Raw Crime Data Into Neighborhood Safety 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.