CMS Data Feeds Dataset
About the Dataset
The CMS Data Feeds Dataset is a comprehensive collection of all current and future CMS data feeds available on cms.data.gov. This dataset transforms each feed into a view, aligning all feed file attributes and casting them to appropriate datatypes. The views are automatically updated when new feed files arrive, and new views are included as CMS publishes new data feeds.
As of January 2026, the dataset encompasses 232 feeds and 3,042 feed files.
See the full list of feeds in the CMS Data Feeds Catalog.
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Dataset Features
126 billion records and growing
232 feeds with automatic addition of new feeds
9,583 feed attributes
19 years of historical data
1.2 TB of data, continuously expanding
Daily updates to ensure data freshness
Automatic quality checks and active monitoring
Designed for seamless ingestion
Data Quality and Maintenance
Dataplex Consulting & Data Products prioritizes data quality through:
Automated data quality checks in all pipelines
Daily monitoring of ingestion and ETL jobs
Timely updates whenever CMS publishes new data
Rigorous processes to ensure data integrity and reliability
Business Applications
Users can leverage this dataset for various purposes, including:
Enriching or augmenting existing datasets
Analyzing published feed metrics over time
Performing segmentation analysis
Training machine learning models
Conducting geospatial analysis
Tracking healthcare trends and performance metrics
Example Use Cases
Analyze telehealth adoption trends across different states
Evaluate the financial performance of home health agencies
Track Medicare spending patterns by drug or geography
Assess hospital performance metrics and patient satisfaction scores
Monitor healthcare-associated infections across facilities
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Data Structure
The dataset consists of three main components:
FEEDS: Contains metadata about each CMS data feed
FEEDS_FILES: Stores information about individual files within each feed
Feed-specific views: Separate views for each feed (e.g., PatientReported_Outcomes, Medicare_Spending)
Entity Relationship Diagram
Sample Queries
Get CMS Feeds to Table Mapping
Find all Feed Views Related to Medicare
Query All 2021 File Records for Medicare Inpatient Hospitals
Get CMS Feeds to Table Mapping
Find all Feed Views Related to Medicare
Query All 2021 File Records for Medicare Inpatient Hospitals
📊 Recent Feed File Updates
Recent CMS feed file updates (last 30 days)
1/12/2026
10/1/2025 to 12/31/2025
1/12/2026
10/1/2025 to 12/31/2025
🆕 Recently Added Feeds
Medicare Quarterly Part B Spending by Drug (Added: December 2025)
What's in this data: This dataset provides insights into the spending on drugs administered in outpatient settings for Medicare Part B enrollees. It includes comprehensive spending metrics calculated at the HCPCS level, shedding light on trends in drug utilization and costs across various treatments.
How you can use it:
Analyzing trends in Medicare drug spending over time to identify cost increases or decreases.
Comparing drug spending across different healthcare providers to assess efficiency and cost-effectiveness.
Evaluating the impact of specific drugs on overall Medicare expenditures to inform policy decisions.
Example Queries:
This query shows the total spending on each drug for the most recent quarter, along with the number of beneficiaries and claims.
This query shows the average spending per beneficiary for each drug across the most recent available data.
Medicare Quarterly Part D Spending by Drug (Added: December 2025)
What's in this data: This dataset provides insights into the spending on drugs prescribed to Medicare beneficiaries enrolled in Part D, including gross drug costs, manufacturer information, and clinical indications. It serves as a critical resource for understanding trends in Medicare drug expenditures and the impact of drug utilization among beneficiaries.
How you can use it:
Analyzing trends in drug spending over different quarters to identify high-cost medications.
Evaluating the performance of different manufacturers based on the spending metrics and total claims.
Assessing the average spending per beneficiary and per claim to understand the financial burden on Medicare.
Example Queries:
This query retrieves the total spending and number of beneficiaries for each drug, aggregated by brand name.
This query shows the average spending per beneficiary for each drug class across the latest quarter.
Provider of Services File - Quality Improvement and Evaluation System (Added: December 2025)
What's in this data: This dataset provides comprehensive demographic and certification information for various healthcare providers, including hospitals and non-hospital facilities. It is significant for analyzing the quality of healthcare services and ensuring compliance with regulatory standards.
How you can use it:
Evaluating the distribution of healthcare providers across different states and cities
Analyzing trends in healthcare service certifications over time
Identifying eligible providers for specific healthcare programs based on their characteristics
Example Queries:
This query shows the count of healthcare providers by state and their certification status.
This query shows the distribution of providers by category across different counties.
📋 View the complete CMS Data Feeds Catalog
Get Started
CMS Medicare/Medicaid Data Access
Includes
All 232 feeds, daily updates, full documentation
Support
Email support included
Cancellation
Cancel anytime, no long-term commitment
Support and Contact
For questions or assistance with the CMS Data Feeds Dataset, please contact:
Email: [email protected]
The Dataplex Consulting & Data Products team monitors ingestion and ETL jobs daily to ensure quality and timely delivery.
About Dataplex
Dataplex Consulting & Data Products delivers turnkey, analytics-ready data products that make complex public and commercial data easy to use across modern data platforms. Our data pipelines include automated quality checks and active monitoring to ensure timely, reliable, and well-structured data that is ready for downstream analytics, machine learning, and operational use.
In addition to data products, Dataplex provides data engineering and analytics consulting services to organizations of all sizes. We bring deep, hands-on experience supporting both early-stage companies and large enterprises, helping teams build scalable data platforms, improve data reliability, and become more data-driven.
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