(COVID-19 confirmed cases and deaths are updated weekly.)

The HPC Data Hub is a data service infrastructure of the Hopkins Population Center (HPC). The HPC Data Hub offers U.S. county-level data necessary for population-based social science, epidemiological, medical and public health research on COVID-19 to provide evidence-based, timely policy recommendations for curbing the pandemic.

Timely and effective data on social, economic and health disparities are needed to respond appropriately to the pandemic as local situations change. Drawing from trusted sources, this data hub curates county-level data on the demographic, social and health factors that influence the spread of COVID-19. The data hub also includes data on the status of COVID-19 related policies being rolled out across the country.

The Phase-3 release data replace the Phase-2 data with important additions. The data files and the corresponding dictionary files are coupled in 3 zipped files:

• Pandemic.zip includes 6 datafiles in csv format and dictionary files in csv format

  • Daily data on COVID-19 tested and confirmed cases and deaths (up to 20201116)
  • Daily data on human mobility and social distancing
  • Timing data on state policy responses
  • Preexisting health care capacity variables
  • State wide race-ethnicity distribution of cases and deaths data
  • State wide Nursing home data

• Prepandemic.zip includes 1 datafile in csv format and 1 dictionary in xlsx format

  • Existing Health and health care disparity
  • Individual tax filing, individual and household income brackets
  • Population density per area and crowdedness per housing unit
  • Demographic structure by age, gender and race-ethnicity
  • Prevalence rates of diabetes, HIV, and smoking, conditions associated with more severe COVID-19 symptoms
  • Water and sanitation, including dirnking water violations, water variables from American Community Surveys, and estimated use of water

• Unemployment.zip includes 1 datafile in csv format and 1 dictionary in xlsx format

  • Monthly unemployment rate and size of labor force from January 2019 to August 2020
  • The county identity of spatial neighbors (for spatial analysis)

All data files include county names and FIPS codes to facilitate data combination of DataHub files and external files. The daily data in this Data Hub is scheduled to routine update every Sunday.

The success of HPC Data Hub relies on users’ questions, feedback, and suggestions. The Github repository includes a registration form (to inform you of data updates) and a feedback form. The HPC Data Hub team is devoted to timely responding to users’ questions and suggestions.

User Registration Form

User Feedback Form

The HPC Data Hub Team Faculty: Dr. Qingfeng Li (lead), Dr. Alexandre White, Dr. Lingxin Hao

Students: Xingyun Wu, Aditya Suru, Apoorv Dayal, Jiaolong He, Giuliana Nicolucci-Altman, Gwyneth Wei