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Technical Details

Dataset Description
This historic dataset with total enrollment in separate CHIP programs by month and state was created to fulfill reporting requirements under section 1902(tt)(1) of the Social Security Act, which was added by section 5131(b) of subtitle D of title V of division FF of the Consolidated Appropriations Act, 2023 (P.L. 117-328) (CAA, 2023). For each month from April 1, 2023, through June 30, 2024, states were required to submit to CMS (on a timely basis), and CMS was required to make public, certain monthly data, including the total number of beneficiaries who were enrolled in a separate CHIP program. Accordingly, this historic dataset contains separate CHIP enrollment by month and state between April 2023 and June 2024. CMS will continue to publicly report separate CHIP enrollment by month and state (beyond the historic CAA/Unwinding period) in a new dataset, which is available at [link]. Please note that the methods used to count separate CHIP enrollees differ slightly between the two datasets; as a result, data users should exercise caution if comparing separate CHIP enrollment across the two datasets. Sources: T-MSIS Analytic Files (TAF) and state-submitted enrollment totals. The data notes indicate when a state’s monthly total was a state-submitted value, rather than from T-MSIS.TAF data were pulled as follows:April 2023 enrollment - TAF as of August 2023May 2023 enrollment - TAF as of August 2023June 2023 enrollment - TAF as of September 2023July 2023 enrollment - TAF as of October 2023August 2023 enrollment - TAF as of November 2023September 2023 enrollment - TAF as of December 2023October 2023 enrollment - TAF as of January 2024November 2023 enrollment - TAF as of February 2024December 2023 enrollment - TAF as of March 2024January 2024 enrollment - TAF as of April 2024February 2024 enrollment - TAF as of May 2024March 2024 enrollment - TAF as of June 2024April 2024 enrollment – TAF as of July 2024May 2024 enrollment – TAF as of August 2024June 2024 enrollment – TAF as of September 2024 TAF are produced one month after the T-MSIS submission month. For example, TAF as of August 2023 is based on July T-MSIS submissions. Notes: The separate CHIP enrollment in this report is not inclusive of enrollees covered by Medicaid expansion CHIP. Enrollment includes individuals enrolled in separate CHIP at any point during the month but excludes those enrolled in both Medicaid and separate CHIP during the month. See the Data Sources and Metrics Definitions Overview document for a full description of the data sources, metric definitions, and general data limitations.Alaska, District of Columbia, Hawaii, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, South Carolina, Vermont, and Wyoming do not have separate CHIP Programs. Maryland has a separate CHIP program that began in July 2023; April 2023 - June 2023 data for Maryland represents retroactive coverage. This document includes separate CHIP data submitted to CMS by states via T-MSIS or a separate collection form. These data include reporting metrics consistent with section 1902(tt)(1) of the Social Security Act.CHIP: Children's Health Insurance Program Data notes: (a) State-submitted value; data not from T-MSIS(b1) May 2023 enrollment pulled from TAF as of September 2023(b2) Data was restated using TAF as of October 2023(b3) Data was restated using TAF as of April 2024(b4) Data was restated using TAF as of July 2024(b5) Data was restated using TAF as of August 2024(c) Enrollment counts include postpartum women with coverage funded via a Health Services Initiative
MetaData
Landing Page

https://data.medicaid.gov/dataset/d30cfc7c-4b32-4df1-b2bf-e0a850befd77#overview

Keywords

program enrollment, child enrollment, eligibility determinations, applications, chip, enrollment, medicaid

Publisher

data.medicaid.gov

Program Code

09:00

Bureau Code

09:00

Separate CHIP Enrollment by Month and State – Historic CAA/Unwinding Period

Download Separate CHIP Enrollment by Month and State – Historic CAA/Unwinding Period In Real Time

Getting CMS data into your dashboards shouldn’t require a team of engineers. We automate the end-to-end process, from pulling fresh datasets from data.cms.gov, to cleaning, structuring, and feeding them into your BI environment.

 

Whether you’re using Power BI, Tableau, Metabase, or need help picking the right tool, we make sure your data is accurate, up-to-date, and always ready for analysis.

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Anyone can wire up a CMS API. Red Corner has done far more than we’ve led data platform projects in providers, payers, and analytics firms, where CMS data wasn’t optional; it was mission-critical. We understand the downstream pressure: reports must run, queries must work, and decision-makers need answers quickly.

 

That’s why we build systems that aren’t just technically correct; they’re reliable under pressure, scalable, and deeply aligned with your business goals.

The Red Corner Approach

Most teams stop at pulling CMS data. We don’t. Red Corner understand that raw CMS datasets are messy, often duplicated, inconsistently structured, and a pain to work with.

 

That’s why we build more than just pipelines. We design and maintain robust processing systems that normalize, clean, and reshape CMS data into models that analysts and BI tools can work with immediately.

 

We don’t just deliver data; we deliver clarity, speed, and answers.

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We’ve already done the heavy lifting. Red Corner builds and manages robust systems that extract, clean, and structure CMS data reliably, so you don’t have to sink hundreds of thousands of dollars into solving the same problems.

 

From day one, your team gets access to a dependable, production-grade pipeline that’s been hardened across multiple clients and use cases. It’s plug-in ready, maintainable, and built for scale.

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Once your CMS data is flowing and structured, we don’t stop. Red Corner ensures historical consistency by storing and managing all past data in the same unified structure. That means the reports you build today won’t break tomorrow, even as CMS releases new versions or modifies schemas.

 

We will also guide you through understanding where this stability delivers cost savings, analytics acceleration, and long-term ROI across teams.

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With a reliable CMS data pipeline in place, your organization can stop relying on analysts for every insight.

 

Red Corner structures your data to work natively with modern BI tools, enabling business leaders to explore trends, spot risks, and make informed decisions without bottlenecks.

 

We will help extend that reach across teams, empowering everyone to move faster with data they can trust.

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We have worked deep in the healthcare trenches, where CMS data is not just a compliance tool but a driver of strategic decisions. We’ve seen the pitfalls: broken queries, outdated datasets, overworked analysts, and built systems that avoid them.

 

With Red Corner, you’re not just getting someone to wire up a feed. You’re getting a seasoned partner who knows how CMS data powers quality improvement, benchmarking, and real-world business outcomes.

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The moment you sign up with us, your CMS data stays fresh. Red Corner ensures automated, ongoing updates from data.cms.gov starting on day zero. No stale reports, no surprise schema changes.

 

We monitor, manage, and maintain the entire flow so your teams always have access to the latest available data, ready for analysis when you need it.

Tailored Solutions

Whether you need your CMS data in your existing Power BI, Tableau, or Metabase setup or you’re starting from scratch, we’ve got you covered.

 

Red Corner offers a ready-to-use, self-service BI interface that lets your team chat with the data directly, no SQL or tech support required. Prefer your own environment? We’ll integrate clean, query-ready data right into your existing tools. 

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Innovation, for us, means cutting through the usual complexity. With Red Corner, your CMS data arrives report-ready from day one, clean, structured, and instantly usable in any BI tool. No manual wrangling, no delayed timelines, no guesswork.

 

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FAQ

  1. What CMS datasets can you integrate?

    We support a wide range of datasets published on data.cms.gov, including Medicare Provider Utilization, Hospital Quality, Medicare Advantage plan ratings, and more. If it’s available from CMS, we can pull it, process it, and deliver it into your analytics workflow fully structured and analysis-ready.
     

  2. How often is the data updated?

    We update CMS data weekly, as new files are published. Our system automatically detects updates, processes the latest versions, and syncs them to your destination, whether that’s a BI tool, a data warehouse, or our self-service interface. You don’t have to lift a finger.
     

  3. Do you clean and structure the CMS data?

    Yes. CMS datasets are often unstructured, inconsistent, and full of duplicate entries. We clean every record, normalize date formats, and ensure column consistency so that your analysts spend time analyzing, not fixing broken rows and cells.
     

  4. Can you integrate with our existing BI tools?

    Absolutely. Whether you use Power BI, Tableau, Metabase, Looker, or another tool, we adapt to your environment. If you don’t yet have a BI tool, we’ll provide a powerful self-service interface where your team can explore and visualize the data from day one.
     

  5. How do you handle schema changes from CMS?

    CMS can change field names, column formats, or file layouts without notice. Our pipelines track version changes, test against historical schemas, and preserve your existing data model. That means your reports don’t break, even when CMS makes changes upstream.
     

  6. Is this secure and compliant with healthcare standards?

    Yes. However, due to the public nature of the data, HIPAA does not apply.
     

  7. Do I need a technical team to manage this?

    No. Red Corner manages the full stack from ingestion to transformation to delivery. Your team gets clean, up-to-date data in the tools they already use, without needing internal engineers to maintain scripts or fix broken pipelines.
     

  8. What if I need historical data?

    We don’t just keep current data; we preserve all historical files in the same structured schema. This makes it easy to build reports over time, compare year-over-year trends, and answer complex analytical questions without having to jump through hoops.
     

  9. Can you help with analytics and reporting?

    Yes. We provide not only the data but also expert analysts who understand the healthcare context behind it. Whether you need ad hoc reports, dashboard design, or help interpreting trends, we’re here to support your goals, not just deliver files.
     

  10. What’s the onboarding time?

    In most cases, we can have your CMS data live and integrated in under a few weeks. Our systems are built and battle-tested, which means we don’t start from scratch; we start with what works and tailor it to your needs.

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