For the complete documentation index, see llms.txt. This page is also available as Markdown.

Enrollment by Contract

Provides monthly enrollment for each contract.

Part of the CMS Data Research Dataset › Enrollment

Dataplex delivers this CMS research table as the analysis-ready table DWV.MONTHLY_ENROLLMENT_BY_CONTRACT on Snowflake — coverage from 2006 to 2026 in a single aligned schema, refreshed automatically whenever CMS publishes a new file. Every row carries lineage back to the exact CMS source file that produced it.

Key facts

Snowflake

DWV.MONTHLY_ENROLLMENT_BY_CONTRACT

Coverage

Aug 2006 – Jun 2026

Rows

201,015 (total across all reporting periods)

Cadence

Monthly

Update pattern

Time-partitioned — each file adds one reporting period

Latest report period

2026-06-01

Loaded

2026-06-14

Columns

16 data + 5 lineage

Identifiers

Contract ID (H-number)

File versions

239

License

CMS public data — U.S. Government work

Platforms

Snowflake Marketplace

Included in the CMS Data Research Dataset — start a free trial on Snowflake Marketplace.

Partitioned by report period — each file version covers one report period and history is additive. The sample query below returns the latest report period; drop the WHERE clause to query the full history.

Sample queries

About this feed

Provides monthly enrollment for each contract. This report contains all organization types.

Source: CMS feed metadata

Theme: Enrollment

Coverage timeline

2006–2026 🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩 (🟩 covered · ⬜ no data)

21 of 21 years covered — no gaps.

Release history

Report period
Files
Loaded
Latest
CMS source

2026-06-01

1

2026-06-14

2026-05-01

1

2026-05-20

2026-04-01

1

2026-04-17

2026-03-01

1

2026-03-16

2026-02-01

1

2026-02-15

2026-01-01

1

2026-02-19

2025-12-01

1

2026-01-28

2025-11-01

1

2026-01-28

2025-10-01

1

2025-11-19

2025-09-01

1

2025-09-19

Show 229 earlier report periods
Report period
Files
Loaded
Latest
CMS source

2025-08-01

1

2025-09-18

2025-07-01

1

2025-07-29

2025-06-01

1

2025-06-24

2025-05-01

1

2025-06-24

2025-04-01

1

2025-06-24

2025-03-01

1

2025-03-19

2025-02-01

1

2025-02-28

2025-01-01

1

2025-01-15

2024-12-01

1

2024-12-16

2024-11-01

1

2024-11-14

2024-10-01

1

2024-10-11

2024-09-01

1

2024-09-13

2024-08-01

1

2024-08-14

2024-07-01

1

2024-07-12

2024-06-01

1

2024-06-17

2024-05-01

1

2024-05-10

2024-04-01

1

2024-04-15

2024-03-01

1

2024-03-15

2024-02-01

1

2024-02-15

2024-01-01

1

2024-01-17

2023-12-01

1

2023-12-17

2023-11-01

1

2023-12-02

2023-10-01

1

2023-12-02

2023-09-01

1

2023-12-02

2023-08-01

1

2023-12-02

2023-07-01

1

2023-12-02

2023-06-01

1

2023-12-02

2023-05-01

1

2023-12-02

2023-04-01

1

2023-12-02

2023-03-01

1

2023-12-02

2023-02-01

1

2023-12-02

2023-01-01

1

2023-12-02

2022-12-01

1

2023-12-02

2022-11-01

1

2023-12-02

2022-10-01

1

2023-12-02

2022-09-01

1

2023-12-02

2022-08-01

1

2023-12-02

2022-07-01

1

2023-12-02

2022-06-01

1

2023-12-02

2022-05-01

1

2023-12-02

2022-04-01

1

2023-12-02

2022-03-01

1

2023-12-02

2022-02-01

1

2023-12-02

2022-01-01

1

2023-12-02

2021-12-01

1

2023-12-02

2021-11-01

1

2023-12-02

2021-10-01

1

2023-12-02

2021-09-01

1

2023-12-02

2021-08-01

1

2023-12-02

2021-07-01

1

2023-12-02

2021-06-01

1

2023-12-02

2021-05-01

1

2023-12-02

2021-04-01

1

2023-12-02

2021-03-01

1

2023-12-02

2021-02-01

1

2023-12-02

2021-01-01

1

2023-12-02

2020-12-01

1

2023-12-02

2020-11-01

1

2023-12-02

2020-10-01

1

2023-12-02

2020-09-01

1

2023-12-02

2020-08-01

1

2023-12-02

2020-07-01

1

2023-12-02

2020-06-01

1

2023-12-02

2020-05-01

1

2023-12-02

2020-04-01

1

2023-12-02

2020-03-01

1

2023-12-02

2020-02-01

1

2023-12-02

2020-01-01

1

2023-12-02

2019-12-01

1

2023-12-02

2019-11-01

1

2023-12-02

2019-10-01

1

2023-12-02

2019-09-01

1

2023-12-02

2019-08-01

1

2023-12-02

2019-07-01

1

2023-12-02

2019-06-01

1

2023-12-02

2019-05-01

1

2023-12-02

2019-04-01

1

2023-12-02

2019-03-01

1

2023-12-02

2019-02-01

1

2023-12-02

2019-01-01

1

2023-12-02

2018-12-01

1

2023-12-02

2018-11-01

1

2023-12-02

2018-10-01

1

2023-12-02

2018-09-01

1

2023-12-02

2018-08-01

1

2023-12-02

2018-07-01

1

2023-12-02

2018-06-01

1

2023-12-02

2018-05-01

1

2023-12-02

2018-04-01

1

2023-12-02

2018-03-01

1

2023-12-02

2018-02-01

1

2023-12-02

2018-01-01

1

2023-12-02

2017-12-01

1

2023-12-02

2017-11-01

1

2023-12-02

2017-10-01

1

2023-12-02

2017-09-01

1

2023-12-02

2017-08-01

1

2023-12-02

2017-07-01

1

2023-12-02

2017-06-01

1

2023-12-02

2017-05-01

1

2023-12-02

2017-04-01

1

2023-12-02

2017-03-01

1

2023-12-02

2017-02-01

1

2023-12-02

2017-01-01

1

2023-12-02

2016-12-01

1

2023-12-02

2016-11-01

1

2023-12-02

2016-10-01

1

2023-12-02

2016-09-01

1

2023-12-02

2016-08-01

1

2023-12-02

2016-07-01

1

2023-12-02

2016-06-01

1

2023-12-02

2016-05-01

1

2023-12-02

2016-04-01

1

2023-12-02

2016-03-01

1

2023-12-02

2016-02-01

1

2023-12-02

2016-01-01

1

2023-12-02

2015-12-01

1

2023-12-02

2015-11-01

1

2023-12-02

2015-10-01

1

2023-12-02

2015-09-01

1

2023-12-02

2015-08-01

1

2023-12-02

2015-07-01

1

2023-12-02

2015-06-01

1

2023-12-02

2015-05-01

1

2023-12-02

2015-04-01

1

2023-12-02

2015-03-01

1

2023-12-02

2015-02-01

1

2023-12-02

2015-01-01

1

2023-12-02

2014-12-01

1

2023-12-02

2014-11-01

1

2023-12-02

2014-10-01

1

2023-12-02

2014-09-01

1

2023-12-02

2014-08-01

1

2023-12-02

2014-07-01

1

2023-12-02

2014-06-01

1

2023-12-02

2014-05-01

1

2023-12-02

2014-04-01

1

2023-12-02

2014-03-01

1

2023-12-02

2014-02-01

1

2023-12-02

2014-01-01

1

2023-12-02

2013-12-01

1

2023-12-02

2013-11-01

1

2023-12-02

2013-10-01

1

2023-12-02

2013-09-01

1

2023-12-02

2013-08-01

1

2023-12-02

2013-07-01

1

2023-12-02

2013-06-01

1

2023-12-02

2013-05-01

1

2023-12-02

2013-04-01

1

2023-12-02

2013-03-01

1

2023-12-02

2013-02-01

1

2023-12-02

2013-01-01

1

2023-12-02

2012-12-01

1

2023-12-02

2012-11-01

1

2025-06-24

2012-10-01

1

2023-12-02

2012-09-01

1

2023-12-02

2012-08-01

1

2023-12-02

2012-07-01

1

2023-12-02

2012-06-01

1

2023-12-02

2012-05-01

1

2023-12-02

2012-04-01

1

2023-12-02

2012-03-01

1

2023-12-02

2012-02-01

1

2023-12-02

2012-01-01

1

2023-12-02

2011-12-01

1

2023-12-02

2011-11-01

1

2023-12-02

2011-10-01

1

2023-12-02

2011-09-01

1

2023-12-02

2011-08-01

1

2023-12-02

2011-07-01

1

2023-12-02

2011-06-01

1

2023-12-02

2011-05-01

1

2023-12-02

2011-04-01

1

2023-12-02

2011-03-01

1

2023-12-02

2011-02-01

1

2023-12-02

2011-01-01

1

2023-12-02

2010-12-01

1

2023-12-02

2010-11-01

1

2023-12-02

2010-10-01

1

2023-12-02

2010-09-01

1

2023-12-02

2010-08-01

1

2023-12-02

2010-07-01

1

2023-12-02

2010-06-01

1

2023-12-02

2010-05-01

1

2023-12-02

2010-04-01

1

2023-12-02

2010-03-01

1

2023-12-02

2010-02-01

1

2023-12-02

2010-01-01

1

2023-12-02

2009-12-01

1

2023-12-02

2009-11-01

1

2023-12-02

2009-10-01

1

2023-12-02

2009-09-01

1

2023-12-02

2009-08-01

1

2023-12-02

2009-07-01

1

2023-12-02

2009-06-01

1

2023-12-02

2009-05-01

1

2023-12-02

2009-04-01

1

2023-12-02

2009-03-01

1

2023-12-02

2009-02-01

1

2023-12-02

2009-01-01

1

2023-12-02

2008-12-01

1

2023-12-02

2008-11-01

1

2023-12-02

2008-10-01

1

2023-12-02

2008-09-01

1

2023-12-02

2008-08-01

1

2023-12-02

2008-07-01

1

2023-12-02

2008-06-01

1

2023-12-02

2008-05-01

1

2023-12-02

2008-04-01

1

2023-12-02

2008-03-01

1

2023-12-02

2008-02-01

1

2023-12-02

2008-01-01

1

2023-12-02

2007-12-01

1

2023-12-02

2007-11-01

1

2023-12-02

2007-10-01

1

2023-12-02

2007-09-01

1

2023-12-02

2007-08-01

1

2023-12-02

2007-07-01

1

2023-12-02

2007-06-01

1

2023-12-02

2007-05-01

1

2023-12-02

2007-04-01

1

2023-12-02

2007-03-01

1

2023-12-02

2007-02-01

1

2023-12-02

2007-01-01

1

2023-12-02

2006-12-01

1

2023-12-02

2006-11-01

1

2023-12-02

2006-10-01

1

2023-12-02

2006-09-01

1

2023-12-02

2006-08-01

1

2023-12-02

Data dictionary

📋 16 data columns + 5 lineage columns

Data columns

Column
Type

CONTRACT_NUMBER

TEXT

ORGANIZATION_TYPE

TEXT

PLAN_TYPE

TEXT

ORGANIZATION_NAME

TEXT

ORGANIZATION_MARKETING_NAME

TEXT

PARENT_ORGANIZATION

TEXT

CONTRACT_EFFECTIVE_DATE

TIMESTAMP_NTZ

OFFERS_PART_D

BOOLEAN

MAONLY

NUMBER

PARTD

NUMBER

ENROLLMENT

NUMBER

PARENT_ORGANIZATON

TEXT

CONTRACT_ENROLLMENT

TEXT

OFFERS_NPART_D

TEXT

MA_ONLY_ENROLLED

TEXT

PART_D_ENROLLED

TEXT

Lineage columns (present on every feed table)

Column
Type
Description

ROW_ID

TEXT

Unique row ID for this table (PK)

FILE_ID

TEXT

Source file — joins to FEEDS_FILES.ID (FK)

FILE_FEED_ID

TEXT

Parent feed — joins to FEEDS.ID (FK)

FILE_NAME

TEXT

Source file name as published by CMS

ROWNUM

NUMBER

Row number within the source file

Row-level lineage

Every row in this table traces to the exact CMS source file that produced it. The FILE_ID column joins to the FEEDS_FILES catalog table, and FILE_FEED_ID joins to the FEEDS master table:

Trace any row back to its source file and reporting period:

Source & provenance

Published by the Centers for Medicare & Medicaid Services.

Frequently asked questions

How often is Enrollment by Contract updated?

Monthly. CMS last published this feed on 2026-06-01, and Dataplex loaded it to the warehouse on 2026-06-14. New releases are added automatically when CMS publishes them.

What years does Enrollment by Contract cover?

2006 through 2026.

How many records are in Enrollment by Contract?

201,015 rows across all 239 report periods. Because this feed is partitioned by report period, the full table total is the meaningful count — no deduplication needed.

How do I get Enrollment by Contract data?

It's included in the CMS Data Research Dataset on the Snowflake Marketplace (free trial available). Once mounted, query DWV.MONTHLY_ENROLLMENT_BY_CONTRACT directly — no pipeline setup required.

Monthly Enrollment by PlanMonthly Enrollment by CPSC (contract)Monthly Enrollment by StateMonthly Enrollment by CPSC (enrollment)

Get this feed

  1. Mount the share — the database and DWV schema appear in your account immediately

  2. Run the sample query above — no ETL, no pipeline maintenance

Questions about this feed? Contact us at notifications@dataplex-consulting.com.


Part of the CMS Data Research Dataset — 22 research tables · 20 years of Medicare Advantage & Part D history · updated daily. Back to the full catalog →

Last updated