Methodology + Data

How cities
are scored

The PlacesForBikes City Rating Score is based on five factors: Ridership, Safety, Network, Reach and Acceleration. Each city’s score is determined using publicly available data and new research tools developed by PeopleForBikes.

The PlacesForBikes City Rating Score includes data from the following sources:

Missing or incomplete data on a factor will be scored lower or possible not at all. Communities can improve their ratings by submitting accurate data in a timely manner. See Tips page for more information.

The Five Factors

The five major factors (Ridership, Safety, Network, Reach and Acceleration) are scored on a five-point scale, and are weighted equally (20% each) to provide the overall score. Together, these factors provide an overall assessment of the current state of bicycling in a community and how quickly improvements are being made.


The Ridership score reflects how many people in the community ride bikes. It considers biking for both recreational biking and biking for transportation. Data Sources: ACS, SMS, Community Survey


The Safety score considers fatalities and injuries of people on bikes as well as those walking and driving. Perceptions of safety are also given weight. Data Sources: FARS, Community Survey, City Snapshot


The Network score evaluates the quality of the bike network — how completely it connects people to each other and local destinations using comfortable routes. Perceptions of the network are also given weight. Data Sources: BNA, Community Survey


The Reach score determines how well a community’s low-stress network serves all members of the community. It uses demographic data to understand differences in access and connectivity for traditionally underserved populations compared to the whole city. Data Sources: ACS, BNA


The Acceleration score assesses how quickly a community is improving its biking infrastructure and how successful its encouragement programs are at getting people to ride. Data Sources: City Snapshot, Community Survey

Download the detailed methodology document Download the raw data

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