Neighborhood Translator

Moving between Boston and New York is a common trajectory. The cities are connected by Amtrak, overlapping job markets, and shared professional networks. But the neighborhood logic is entirely different, and most people make the translation poorly.

Neighborhood Translator is an interactive map that lets you select a Boston neighborhood you know and shows you the NYC neighborhoods that are most similar across a set of weighted dimensions.

The Dimensions

The comparison runs across: median rent per square foot, walk score and transit access, crime rate (normalized), park and green space per capita, waterfront access, and demographic composition.

Users can adjust the weights — someone optimizing for affordability and transit gets a different match than someone optimizing for walkability and green space.

The Surprising Matches

The matches that surprise people most:

Somerville Magoun Square → Jackson Heights, Queens. Both are dense, transit-oriented, ethnically diverse neighborhoods undergoing gentrification pressure from adjacent more expensive neighborhoods.

Brookline Village → Park Slope, Brooklyn. Similar rent profiles (expensive), similar demographics, similar neighborhood character — walkable, good restaurants, family-oriented.

East Boston → Astoria, Queens. Waterfront access, working-class character, strong immigrant community, rapid real estate appreciation driven by proximity to downtown.

The Methodology

Similarity scoring uses cosine similarity on the normalized feature vectors. Weights are linear. The data is sourced from Census ACS, FBI UCR, Trust for Public Land, and Walkscore API.

Stack

Python data pipeline for feature engineering, Next.js + Mapbox GL for the interactive frontend, Vercel for deployment.