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Published, Version of Record (VoR) Open Access via Drexel Libraries Read and Publish Program 2026 Open CC BY V4.0
Journal article
Measuring the Health of Philadelphia’s City Council Districts
Journal of Urban Health, Forthcoming
31 Aug 2026
PMID: 42675364
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
Analyzing data by geopolitical districts, like congressional districts, is increasing in popularity in public health monitoring and evaluation but remains relatively rare compared to geographies such as census tracts and counties. In this study, we use city council districts in the City of Philadelphia to illustrate the utility and importance of investigating public health metrics by local political districts. We report on two metrics—tree canopy coverage and health insurance coverage—by city council district and census tract. We discuss the variation within and between districts to show heterogeneity across the city. Lastly, we discuss ways that data can be made accessible to the public through an online dashboard to support advocacy with local politicians.
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Details
- Title
- Measuring the Health of Philadelphia’s City Council Districts
- Creators
- Tamara Rushovich (Corresponding Author) - Drexel University, Urban Health CollaborativeAmber Bolli - Drexel UniversityAlina Schnake-Mahl - Drexel University, Health Management and PolicyStephanie Hernandez - Drexel University, Epidemiology and Biostatistics
- Publication Details
- Journal of Urban Health, Forthcoming
- Publisher
- Springer Nature
- Number of pages
- 6
- Grant note
- Robert W. Woodruff Foundation: Transform Academia for Equity
Amber Bolli received funding from the Transform Academia for Equity grant from Robert Wood Johnson Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics; Health Management and Policy
- Web of Science ID
- WOS:001863424600001
- Other Identifier
- 991022203158904721