They show streets, subways, buildings. Where we live.
But they don't show how we live.
Every place has a soul.
"The city fosters art and is art; the city creates the theater and is the theater."
— Lewis Mumford, 1937
And in an increasingly digital world, we have the possibilty to rediscover the physical places that define city life.
Some places relate not just by social character but by identity.
Others form kindred connections that permeate the city.
Pull the threads and activate the web to see how far connections spread.
From a bar in the Village to a nightclub in the Bronx, there are over 12,000 social spaces across New York City.
Find yours.
The Third Place
A map of New York City's community gathering spaces
“The city fosters art and is art; the city creates the theater and is the theater.” — Lewis Mumford, 1937
What is a Third Place?
Sociologist Ray Oldenburg coined the term “third place” in 1989 to describe the informal gathering spaces that anchor community life, distinct from home (the first place) and work (the second place). Barbershops, cafes, libraries, parks, bookshops, community centers: the places where people come together not out of obligation but out of desire.
Third places are the social infrastructure of a city. They are where neighborhoods form identities, where strangers become neighbors, where culture is made and passed on.
Why This Map
In an increasingly digital world, the physical experiences that define city life are at risk.
Yet the boundary between physical and digital is dissolving. This map is an attempt to use digital tools to rediscover and reactivate the social fabric of New York City and to make visible what official maps leave out.
The Data
Each of the 12,000+ places on this map was sourced from OpenStreetMap, the community-built map of the world, then enriched with ratings, reviews, and atmosphere data from the Google Places API. Additional data were gathered from a variety of sources to provide a more comprehensive view of each place, including NYC Department of City Planning, NYC Department of Small Business Services, business websites and more. Some community identity attributes (LGBTQ+ ownership, women-owned, wheelchair accessibility, etc.) were sourced from Google Business Profiles via DataForSEO.
Soul summaries, short descriptions that capture each place's social character, were programatically generated via machine learning on the combined corpus of reviews, editorial summaries, place attributes, and website descriptions where available.
How Connections Work
Each place is connected to up to 8 “kindred” places. These are places that share a similar social character, regardless of type or location. Connections are computed using a weighted similarity score across four signals:
Soul summary text (40%) — shared vocabulary in the place descriptions
Atmosphere (20%) — matching boolean attributes like outdoor seating, live music, family-friendly
Community identity (20%) — shared community tags like LGBTQ+, religious, or cultural identity
OSM Place type (10%) — same or related OSM type
Google Place type (10%) — same or related Google Place type
A diversity cap ensures no more than 5 of the 8 connections share the same place type, encouraging cross-category discovery.
A Note on Data Coverage
OpenStreetMap coverage varies across neighborhoods and place types. Some places may be missing, mislabeled, or have outdated information. Soul summaries reflect the information available at the time of generation (May 2026) and may not capture recent changes. Bias may be present in the Soul summaries and kindred connections based on input data and the weighting metrics.
Given the scale of the project, individual narratives may not represent the full diversity of experiences within each neighborhood. Missing or incomplete community identity tags, such as Black-owned or LGBTA+ Welcoming, may be the result of limited self-reported information on Google Business Profiles or errors when collecting data.
This project is built on community input and feedback. If you find any information that is inaccurate or incomplete, please let us know by submitting a report through the map interface or by using the feedback form below.