house-chimney-medicalCMS 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 2,995 feed files.

See the full list of feeds in the CMS Data Feeds Catalog.

🔗 Find the CMS Data Feeds Dataset on the Snowflake Marketplace.arrow-up-right

Dataset Features

  • 118 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

Data Structure

The dataset consists of three main components:

  1. FEEDS: Contains metadata about each CMS data feed

  2. FEEDS_FILES: Stores information about individual files within each feed

  3. Feed-specific views: Separate views for each feed (e.g., PatientReported_Outcomes, Medicare_Spending)

Entity Relationship Diagram

CMS Data Feeds Structure

Sample Queries

Get CMS Feeds to Table Mapping

Query All 2021 File Records for Medicare Inpatient Hospitals

📊 Recent Feed File Updates

Recent CMS feed file updates (last 30 days)

Date
Feed
Data Period

01/09/2026

01/01/2024 to 12/31/2024

01/09/2026

12/28/2025 to 01/03/2026

01/08/2026

01/01/2023 to 12/31/2023

01/06/2026

12/28/2025 to 01/03/2026

01/06/2026

12/28/2025 to 01/03/2026

01/02/2026

01/01/2026 to 01/31/2026

01/02/2026

12/21/2025 to 12/27/2025

01/02/2026

01/01/2026 to 01/31/2026

12/30/2025

12/21/2025 to 12/27/2025

12/30/2025

12/21/2025 to 12/27/2025

12/30/2025

12/14/2025 to 12/27/2025

12/29/2025

12/21/2025 to 12/27/2025

12/23/2025

12/14/2025 to 12/20/2025

12/23/2025

12/14/2025 to 12/20/2025

12/22/2025

11/01/2025 to 11/30/2025

12/19/2025

01/01/2023 to 12/31/2023

12/19/2025

12/07/2025 to 12/13/2025

12/19/2025

01/01/2023 to 12/31/2023

12/19/2025

01/01/2023 to 12/31/2023

12/18/2025

09/01/2025 to 09/30/2025

12/18/2025

04/01/2025 to 06/30/2025

12/16/2025

12/07/2025 to 12/13/2025

12/16/2025

12/07/2025 to 12/13/2025

12/16/2025

11/30/2025 to 12/13/2025

12/15/2025

12/01/2025 to 12/31/2025

12/15/2025

12/01/2025 to 12/31/2025

12/15/2025

12/01/2025 to 12/31/2025

12/15/2025

12/01/2025 to 12/31/2025

🆕 Recently Added Feeds

Income and Asset Ownership (Added: September 2025)

What's in this data: This dataset provides comprehensive insights into the income sources, levels, asset ownership, and values among Medicare beneficiaries. It is crucial for understanding the financial status and economic challenges faced by the elderly population, allowing for better-targeted healthcare policies and financial assistance programs.

How you can use it:

  • Analyzing the financial health of Medicare beneficiaries to inform policy decisions.

  • Identifying disparities in income and asset ownership among different demographic groups.

  • Evaluating the impact of income levels on healthcare access and outcomes.

Example Queries:

This query retrieves the average income and asset values segmented by age groups for a specific data file.

This query shows the distribution of home ownership percentages across different demographic characteristics.

Monthly Prescription Drug Plan Formulary and Pharmacy Network Information - plan_data (Added: September 2025)

What's in this data: This dataset provides comprehensive monthly updates on Medicare Part D and Medicare Advantage plan formularies and pharmacy networks. It includes vital information such as premium costs, deductibles, and contract details for various plans, aiding stakeholders in understanding the landscape of prescription drug coverage.

How you can use it:

  • Analyze trends in Medicare Advantage plan premiums over time to identify cost increases or decreases.

  • Evaluate the availability of specific prescription drugs across different plans within a region to inform beneficiaries about their options.

  • Assess the impact of plan suppression on beneficiaries' access to healthcare services based on available formulary data.

Example Queries:

This query retrieves the average premium and deductible for Medicare Advantage plans in a specific region.

This query lists unique plan names and their corresponding contract names that have been suppressed.

Monthly Prescription Drug Plan Formulary and Pharmacy Network Information - insulin_beneficiary_cost (Added: September 2025)

What's in this data: This dataset provides monthly Medicare Part D and Medicare Advantage plan formulary and pharmacy network data specific to insulin beneficiary costs. It includes details such as copay amounts for preferred and non-preferred insulin medications, tier levels, and days supply, which are crucial for analyzing patient out-of-pocket expenses and plan offerings.

How you can use it:

  • Analyze the variation in copay costs for insulin across different Medicare plans.

  • Identify trends in insulin pricing and availability in the pharmacy network over time.

  • Evaluate the impact of different tiers on patient costs for insulin medications.

Example Queries:

This query shows the distribution of insulin medications across different tiers in the formulary.

This query shows the total number of plans offering insulin along with their corresponding copay amounts.

📋 View the complete CMS Data Feeds Catalog

Support and Contact

For questions or assistance with the CMS Data Feeds Dataset, please contact:

Email: [email protected]envelope

The Dataplex Consulting & Data Products team monitors ingestion and ETL jobs daily to ensure quality and timely delivery.

About Dataplex

Dataplex Consulting & Data Products offers top-notch, turnkey data products, making data easily accessible for businesses of all sizes. With over 20 years of experience serving small businesses and Fortune 500 companies, our team has gained extensive practical expertise in enhancing data management, boosting revenue, and helping companies become more data-driven.

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