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 May 2026, the dataset encompasses 261 feeds and 4,834 feed files.
See the full list of feeds in the CMS Data Feeds Catalog.
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Dataset Features
224 billion records and growing
261 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
Ready to access CMS Data Feeds data?
Questions? Contact our team for a walkthrough.
Snowflake
Databricks
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)
4/23/2026
4/1/2026
4/23/2026
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4/16/2026
12/1/2023
4/16/2026
12/1/2022
4/16/2026
12/1/2021
4/16/2026
12/1/2020
4/16/2026
12/1/2019
4/16/2026
12/1/2018
4/16/2026
12/1/2017
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12/1/2016
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12/1/2015
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12/1/2014
4/16/2026
12/1/2013
4/15/2026
1/1/2026 to 3/31/2026
4/13/2026
1/1/2024 to 12/31/2024
🆕 Recently Added Feeds
Prepaid Shared Savings Spend Plan (Added: May 2026)
What's in this data: The Prepaid Shared Savings (PSS) Spend Plan data provides insights into payment usage, spending categories, and the projected versus actual spending of prepaid shared savings by Accountable Care Organizations (ACOs). This data is significant for assessing how ACOs allocate their resources towards healthcare services and interventions.
How you can use it:
Evaluate the effectiveness of spending categories in improving patient outcomes.
Analyze trends in projected versus actual spending to better forecast future budgets.
Identify high-cost areas and optimize resource allocation for ACOs.
Example Queries:
This query shows the breakdown of spending by general category for the year 2026.
This query shows the number of entries and total spending for each beneficiary group in 2026.
CMS Program Statistics - Medicare SNF Utilization by Facility Type and Bedsize (Added: April 2026)
What's in this data: This data feed provides insights into the utilization of Skilled Nursing Facilities (SNFs) under Medicare, detailing program payments and cost-sharing across different facility types and bed sizes. It is significant for understanding trends in SNF utilization and financial implications for both providers and beneficiaries.
How you can use it:
Analyzing trends in SNF admissions by bed size to identify potential resource needs.
Evaluating program payments and cost-sharing patterns across different types of SNFs.
Assessing the impact of hospital-based versus non-hospital-based SNFs on overall Medicare spending.
Example Queries:
This query calculates the total program payments and admissions for each SNF type and bed size.
This query finds the average covered days of care per person with utilization by SNF type.
CMS Program Statistics - Medicare SNF Utilization by Covered Days of Care (Added: April 2026)
What's in this data: This data feed provides detailed statistics on Medicare Skilled Nursing Facility (SNF) utilization, including program payments and cost sharing categorized by length of stay. It is significant for understanding the distribution of care across different beneficiary types and days of care, enabling better resource allocation and policy-making.
How you can use it:
Analyzing trends in Medicare SNF utilization over different lengths of stay to identify areas for improvement in patient care.
Evaluating program payments and cost-sharing amounts to assess financial impacts on beneficiaries and the Medicare system.
Comparing utilization patterns between aged and disabled beneficiaries to inform targeted healthcare policies.
Example Queries:
This query shows the total number of covered admissions and days of care aggregated by beneficiary type for the latest data.
This query shows the average program payments per covered admission for each days of care bucket for the latest data.
📋 View the complete CMS Data Feeds Catalog
Get Started
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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