# PeopleForBikes City Ratings > PeopleForBikes City Ratings measures how well U.S. cities connect people to everyday destinations by bike. The 2026 release rates 3,019 U.S. cities using network quality, access to opportunity, core services, retail, recreation, transit, and low-stress mileage. Canonical site: https://cityratings.peopleforbikes.org ## Start Here - Home: https://cityratings.peopleforbikes.org/ - Browse and filter city ratings: https://cityratings.peopleforbikes.org/ratings - City detail pages: https://cityratings.peopleforbikes.org/cities/{city-slug} - Methodology: https://cityratings.peopleforbikes.org/about/methodology - How City Ratings works: https://cityratings.peopleforbikes.org/about/how-city-ratings-works - Great Bike Infrastructure Project map: https://cityratings.peopleforbikes.org/map ## Machine-Readable Data - 2026 City Ratings CSV: https://cityratings.peopleforbikes.org/data/2026/all-pfb-cr-results-2026.csv - 2020-2026 historic ratings CSV: https://cityratings.peopleforbikes.org/data/2026/all-pfb-cr-historical-results-2026.csv - LLM-oriented 2026 dataset guide: https://cityratings.peopleforbikes.org/data/2026/2026-city-ratings-llm-guide.md ## Key Interpretation Notes - "City Rating" usually refers to `rounded_score` / `roundedScore`, an integer from 0 to 100. - "Network Score" refers to `overall_score` / `overallScore`, a decimal from 0 to 100 used for primary sorting and comparison. - City page slugs use lowercase city plus state abbreviation, with spaces and punctuation normalized to hyphens, for example `minneapolis-mn`. - The 2026 public ratings are U.S.-only. International ratings are expected separately. - The `/map` route is an infrastructure project map, not a City Ratings score map. ## For Repository Readers - Canonical in-app JSON dataset: `data/processed/2026/2026-us-city-ratings-cleaned-v3.json` - Runtime dataset processing: `context/cr/city-ratings-dataset.js` and `context/cr/crdata-processing.js` - Public CSV generation script: `lib/utils/convertPublicDataJsonToCsv.js` - Data preparation notes: `docs/DATA_PREP.md`