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Technical Details

Dataset Description
This dataset includes total enrollment in separate CHIP (S-CHIP) programs by month and state from April 2023 forward. 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. Methods: Enrollment includes individuals enrolled in S-CHIP at any point during the coverage month, excluding those enrolled in dental-only coverage. The S-CHIP enrollment in this report also excludes enrollees covered by Medicaid expansion CHIP, a program in which a state receives federal funding to expand Medicaid eligibility to optional targeted low-income children that meets the requirements of section 2103 of the Social Security Act. If an individual is enrolled in both Medicaid or Medicaid-expansion CHIP and S-CHIP in a given month, TAF picks the program in which they were last enrolled. Unless S-CHIP enrollment counts are replaced with a state-submitted value, each state's monthly S-CHIP enrollment is equal to the number of unique people in TAF with a CHIP_CODE = 3 (S-CHIP) and ELGBLTY_GRP_CD not equal to ‘66’ (Children Eligible for Dental Only Supplemental Coverage). More information about TAF is available at https://www.medicaid.gov/medicaid/data-systems/macbis/medicaid-chip-research-files/transformed-medicaid-statistical-information-system-t-msis-analytic-files-taf/index.html. Note: A historic dataset with S-CHIP enrollment by month and state from April 2023 to June 2024 is also available at: https://data.medicaid.gov/dataset/d30cfc7c-4b32-4df1-b2bf-e0a850befd77. This historic dataset 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). Please note that the methods used to count S-CHIP enrollees differ slightly between the two datasets; as a result, data users should exercise caution if comparing S-CHIP enrollment across the two datasets. State notes: Alaska, District of Columbia, Hawaii, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, South Carolina, Vermont, and Wyoming do not have S-CHIP programs. Maryland has an S-CHIP program for the from conception to end of pregnancy group that began in July 2023; April 2023 - June 2023 data for Maryland represents retroactive coverage. Oregon moved all its S-CHIP enrollees, other than those in the from conception to the end of pregnancy group, to a Medicaid-expansion CHIP program effective January 1, 2024. CHIP: Children's Health Insurance Program
MetaData
Landing Page

https://data.medicaid.gov/dataset/4723da0d-4d04-46ce-8163-e4b58c8fe728#overview

Keywords

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

Publisher

data.medicaid.gov

Program Code

09:00

Bureau Code

09:00

Separate CHIP Enrollment by Month and State

Download Separate CHIP Enrollment by Month and State 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.

Our Expertise With Health Care Data Integration

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.

Foundational

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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Evolution

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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Growth

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.

Expert Guidance

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.

Continuous Support

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. 

Innovative Approach

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.

 

We’ve built a system that turns a messy public dataset into a plug-and-play source of truth, so your team can skip straight to insights.

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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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