Overview

The Third Place Index (TPI) is a comprehensive analysis of community gathering spaces across the United States. The index measures the availability of "third places"—spaces beyond home and work where people gather for social interaction, community building, and civic engagement.

About the Project

The Third Place Index was created by Evan O'Neil, a data communicator with an interest in studying belongingness and social connection through a public health lens. A portion of this project was developed as a Master's Capstone in MICA's Data Visualization program.

For questions or to discuss collaboration, contact evan@evanoneil.studio.

Process

1

Collect

Query 1.5M+ locations from OpenStreetMap via Overpass API using third place location types

2

Map

Connect each place to its census tract

3

Score

Calculate percentile rank (0–100) for each tract

Conceptual Framework

What is a "Third Place"?

The concept of "third places" was introduced by sociologist Ray Oldenburg in his 1989 book The Great Good Place. Third places are informal public gathering spaces that are distinct from:

Oldenburg argued that third places are essential for civil society, democracy, civic engagement, and establishing feelings of a sense of place. They provide neutral ground where people can gather and interact.

Modern Adaptation

While rooted in Oldenburg's framework, this project adapts the concept to reflect changes in societal preferences and the built environment over the 40+ years since publication. The analysis includes both traditional third places (cafes, barbershops, pubs) and modern gathering spaces (fitness centers, coworking spaces, game cafes).

Why Census Tracts?

By mapping at the census tract level, TPI data can be directly linked to U.S. Census Bureau socioeconomic data—income, education, race, age, housing—enabling research into how third place access correlates with health outcomes, economic mobility, and social cohesion.

Data Sources

OSM

OpenStreetMap via Overpass API

All 50 U.S. states plus Washington, D.C. were queried for third place locations. Data was collected state-by-state over 4 days (November 1–5, 2024) with geographic chunking for large states to manage API rate limits.

ACS

American Community Survey (ACS) 2022 - 5 Year Estimates

Census demographic data accessed through the TidyCensus R package, including total population, median household income, educational attainment, and household composition by age.

TIGER

Census TIGER/Line Shapefiles (2020)

Census tract boundaries, geometries, and urban/rural classification. Tracts are classified as Urbanized Areas (50,000+ population), Urban Clusters (2,500–50,000), or Rural.

Place Type Taxonomy

The following OpenStreetMap key-value pairs were queried to identify third places, organized into four main categories:

Traditional (Food & Beverage)

  • Cafes amenity=cafe
  • Coffee Shops shop=coffee
  • Ice Cream amenity=ice_cream
  • Restaurants amenity=restaurant
  • Food Courts amenity=food_court
  • Bars amenity=bar
  • Pubs amenity=pub
  • Beer Gardens amenity=biergarten

Traditional (Retail & Services)

  • Hair Salons shop=hairdresser
  • Beauty Shops shop=beauty
  • Bookstores shop=books
  • Marketplaces amenity=marketplace

Community Spaces

  • Libraries amenity=library
  • Community Centers amenity=community_centre
  • Social Facilities amenity=social_facility
  • Places of Worship amenity=place_of_worship
  • Parks leisure=park
  • Public Squares place=square
  • Plazas leisure=plaza
  • Gardens leisure=garden
  • Village Greens landuse=village_green
  • Community Gardens leisure=community_garden

Cultural Venues

  • Theaters amenity=theatre
  • Cinemas amenity=cinema
  • Arts Centers amenity=arts_centre

Modern Third Places

  • Shopping Malls shop=mall
  • Department Stores shop=department_store
  • Fitness Centers leisure=fitness_centre
  • Sports Centers leisure=sports_centre
  • Gyms amenity=gym
  • Coworking Spaces amenity=coworking_space
  • Hackerspaces amenity=hackerspace
  • Craft Workshops craft=workshop
  • Amusement Arcades leisure=amusement_arcade
  • Game Cafes amenity=game_cafe
  • Bowling Alleys leisure=bowling_alley
  • Escape Rooms leisure=escape_game

Scoring Methodology

Percentile-Based Approach

The TPI uses a percentile-based scoring approach inspired by the EPA's National Walkability Index. This methodology:

Classification-Based Indices

To address the challenge of comparing diverse community types (a rural tract may be geographically large but have few residents), separate percentile scores are calculated within each US Census Bureau designation classification: Urbanized Area, Urban Cluster, and Rural.

This allows fair comparison within similar community contexts. An urban neighborhood is compared to other urban neighborhoods; a rural community is compared to other rural communities.

Limitations & Considerations

OpenStreetMap Coverage

  • Coverage varies by region
  • Urban areas generally better mapped than rural
  • Commercial establishments better represented than informal spaces
  • May miss private clubs, informal gathering spots, temporary spaces

Census Tract Boundaries

  • Large geographic variation in tract sizes
  • Tracts may not align with neighborhood identities
  • Boundary effects: places near edges may be far from tract residents

Definition of "Third Place"

  • Subjective selection of place types
  • Presence doesn't guarantee accessibility or quality
  • Doesn't capture hours of operation or capacity

Percentile Scoring

  • Relative measure only (not absolute access)
  • Equal weighting of all place types
  • Doesn't account for quality, popularity, or diversity

Equity Factors Not Captured

  • Transportation access and mobility
  • Economic barriers (cost of access)
  • Cultural appropriateness and welcoming
  • Safety and comfort

Appropriate Uses

  • Identifying geographic patterns
  • Comparing similar community types
  • Generating hypotheses for research
  • Raising awareness about community space access

Data Dictionary

Identifiers

geoid 11-digit Census tract identifier
state_fips 2-digit state FIPS code
urban_rural_class Categorizes areas as urbanized (50,000+ population), urban clusters (2,500-50,000), or rural

Index Scoring

third_place_percentile Percentile ranking (0-1 scale) comparing tract availability relative to all U.S. tracts

Demographics

total_population Total residents per census tract (ACS 2022 5-year estimates)
median_income Median household income in dollars
pct_bachelors Share of population with bachelor's degree or higher education
pop_under_18 Population under 18 years old
pct_under_18 Share of residents younger than 18
area_sq_miles Land area in square miles

Place Count Categories

total_places Aggregate count of all third place venues
food_beverage_count Dining and drink establishments
personal_service_count Hair and beauty services
traditional_retail_count Small retailers and markets
civic_educational_count Religious institutions, libraries, community facilities
public_spaces_count Parks and plazas
cultural_arts_count Entertainment venues
commercial_retail_count Department stores and shopping malls
fitness_wellness_count Sports and fitness facilities
work_creation_count Coworking spaces
entertainment_gaming_count Recreational entertainment venues

Density

total_places_per_sqmi Venue concentration per square mile

Citation & License

Suggested Citation

O'Neil, Evan. (2025). National Third Place Index: A Census Tract-Level Analysis of Community Gathering Spaces in the United States. Master's Capstone Project.

Data Sources

OpenStreetMap

OpenStreetMap contributors. (2024). Planet dump. Retrieved from https://www.openstreetmap.org

U.S. Census Bureau

U.S. Census Bureau. (2022). American Community Survey 5-Year Estimates [Data files]. Retrieved from https://www.census.gov/programs-surveys/acs

U.S. Census Bureau. (2020). TIGER/Line Shapefiles [Data files]. Retrieved from https://www.census.gov/geographies/mapping-files

License

Data: OpenStreetMap data is available under the Open Database License (ODbL). Census data is in the public domain.

Project Roadmap

Current

Release v1.0

Launch of the Third Place Index dataset, methodology documentation, and exploratory map tool.

Next

Seek Feedback

Gather input from users, researchers, and community advocates to improve the index.

Next

Collaborate

Partner with journalists and researchers to explore applications and stories within the data.

2026

Improved Scoring

Update the dataset with refined scoring metrics based on feedback and further research.

Future

New Tool

Release an additional tool to expand how users can interact with and analyze TPI data.

Download the Dataset

Download Dataset CSV

Source: OpenStreetMap · U.S. Census Bureau

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