Mapping US health system capacity needs to care for COVID-19 patients

We are a volunteer open-source geospatial effort to map beds, ventilators, supplies, staff, and other resources needed to care for COVID-19 patients. If you collect or use such data, we can help you aggregate, analyze, or visualize it to better inform surge capacity planning and resourcing decisions.

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Open, analysis-ready datasets about health system capacity to care for COVID-19 patients, especially the critically ill. All methods, data processing notebooks, visualizations, and other source code are free and open-source.

Have more up to date data? Update data.

Includes information about all hospital bed and ICU bed counts, historical occupancy rates, facility type and geolocation
Sources: Definitive Healthcare, Healthcare Cost Report Information System (HCRIS), crowd-sourced updates
Jupyter notebook


Our healthcare system is at risk of being overwhelmed. How quickly and how many people are falling ill to COVID-19 at one time may exceed our ability to effectively care for everyone, especially at the ICU level.

We must #FlattenTheCurve to give our healthcare system more time to prepare for this surge of patients. Preparation means enough space, staff, supplies, and systems at the right places and times to meet patient needs. Through mapping and geospatial analytics, we provide situational awareness and foresight for health systems, policymakers, emergency managers, suppliers, and the public to plan and coordinate preparations between facilities, counties, states, or nationwide.

Graph that demonstrates the concept of 'flattening the curve'.


We are a volunteer team of data scientists, engineers, designers, developers, communicators, healthcare experts, and more who have rallied together to support our healthcare providers' ability to care for every patient. Join us to help the helpers.