Congressional District Health Dashboard

Individual Author(s) / Organizational Author
Congressional District Heatlh Dashboard
NYU Langone Health
January 2023
Abstract / Description

Where we live shouldn’t determine how long or how well we live. Everyone should have the same opportunity to live the healthiest life possible but, in many areas across the country, persistent and systemic barriers to health and opportunity exist.

Most data on health, the drivers of health, and health equity are organized at the county, state, or, more recently, city level. In contrast, data about the health of people living in congressional districts is difficult to find. That’s where the Congressional District Health Dashboard (the Dashboard) comes in. The Dashboard provides actionable measures of health and its drivers calculated at the congressional district level, showing users how their district is doing on health outcomes, social and economic factors, and more.

The Dashboard was created by our team in the Department of Population Health at NYU Grossman School of Medicine, in partnership with and support from the Robert Wood Johnson Foundation, and builds on our experience creating and managing the City Health Dashboard since 2018. The Congressional District Health Dashboard (CDHD) launched in January 2023 as a first-of-its-kind resource, offering trusted data on health and its drivers for all 435 (and Washington DC) U.S. congressional districts.

Our goal with the CDHD is to provide policymakers, advocates, and community members with an array of actionable and nonpartisan data at the congressional district level– such as life expectancy, diabetes rates, uninsurance, and children in poverty – to demonstrate strengths and challenges in their regions and drive positive change at the district, state and national level.

The Dashboard incorporates the 2022 re-drawn district boundaries based on the 2020 census, corresponding to the 118th Congressional session that started in January 2023. Data and site features will be updated regularly. To learn more about the site and its data, please check out our one-pagerFAQ and technical documentation. (author abstract)

Reference Type
P4HE Authored