The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/covid-19-death-counts-nchs .

Product Description

This release contains the provisional counts for coronavirus disease (COVID-19) deaths in the United States, by week, age, state, sex and place, based on the data submitted to the National Center for Health Statistics (NCHS) and recorded by the National Vital Statistics System. It can take several weeks for death records to be submitted, processed and tabulated by NCHS, so the included data may be incomplete, especially for more recent time periods. Death counts for earlier weeks will continue to be revised as more information becomes available.

Centers for Disease Control and Prevention provides free and open access to various health related data.

Data Sources

This resource is provided in both CSV and JSON format. The dataset includes the following columns:

data_as_of, group, state, indicator, start_week, end_week, covid_deaths, total_deaths, percent_expected_deaths, pneumonia_deaths, pneumonia_and_covid_deaths, all_influenza_deaths_j09_j11, pneumonia_influenza_and_covid_19_deaths, footnote

More Information

• Source - National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention 
• Terms of Use 
• CDC Data Homepage 
• Frequency: Daily
• Formats: CSV, JSON

Contact Details

• If you find any issues with or have enhancement ideas for this product, open up a GitHub issue  and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated ❤️.
• If you are looking for specific open datasets currently not available on ADX, please submit a request on our project board here .
• If you have questions about the source data, please contact cdcinfo@cdc.gov.
• If you have any other questions or feedback, send us an email at data@rearc.io.

About Rearc

Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.