Medicare Part D Spending by Drug

The Medicare Part D by Drug dataset presents information on spending for drugs prescribed to Medicare beneficiaries enrolled in Part D by physicians and other…

Part of the CMS Data Feeds Dataset › Medicare

Dataplex delivers this CMS feed as the analysis-ready table DWV.MEDICARE_PART_D_SPENDING_BY_DRUG on Snowflake and Databricks: four annual reporting periods (2021–2024) aligned to a single 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.MEDICARE_PART_D_SPENDING_BY_DRUG
Databricks	cms_dwv.medicare_part_d_spending_by_drug
Coverage	Jan 2021 – Dec 2024 (4 of 4 annual reporting periods)
Rows	56,485 (total across all reporting periods)
Cadence	Annual
Update pattern	Time-partitioned; each file adds one reporting year
CMS published	2026-06-25
Loaded	2026-06-25
Columns	76 data + 6 lineage
File versions	4
License	CMS public data (U.S. Government work)
Platforms	Snowflake Marketplace · Databricks Delta Sharing

Included in the CMS Data Feeds Dataset, start a free trial on Snowflake Marketplace.

Current: CMS last published this feed on 2026-06-25. Coverage is complete through the 2024 reporting year. Next CMS release expected ~Jun 2027.

Time-partitioned feed: each file version covers one reporting year, so history is additive. Query the full table for all years; filter on the reporting period columns for a single period. Do not filter to the latest file only (that would return just the 2024 reporting year).

Sample queries

Snowflake

-- Each file version covers one reporting period (2021, 2022, 2023, 2024); history is additive
SELECT *
FROM DWV.MEDICARE_PART_D_SPENDING_BY_DRUG
LIMIT 100;

Databricks

-- Each file version covers one reporting period (2021, 2022, 2023, 2024); history is additive
SELECT *
FROM cms_dwv.medicare_part_d_spending_by_drug
LIMIT 100;

About this feed

The Medicare Part D by Drug dataset presents information on spending for drugs prescribed to Medicare beneficiaries enrolled in Part D by physicians and other healthcare providers. Drugs prescribed in the Medicare Part D program are drugs patients generally administer themselves. The dataset focuses on average spending per dosage unit and change in average spending per dosage unit over time. It also includes spending information for manufacturer(s) of the drugs as well as consumer-friendly information of drug uses and clinical indications. Drug spending metrics for Part D drugs are based on the gross drug cost, which represents total spending for the prescription claim, including Medicare, plan, and beneficiary payments. The Part D spending metrics do not reflect any manufacturers’ rebates or other price concessions as CMS is prohibited from publicly disclosing such information.

Source: CMS feed metadata

Keywords: Medicare, Medicare Prescription Drug, Medical Suppliers & Equipment, Drugs Theme: Medicare

Coverage timeline

2021 🟩 · 2022 🟩 · 2023 🟩 · 2024 🟩

4 of 4 annual reporting periods present, no gaps.

Release history

Reporting period	CMS published	Loaded	Latest file
2024-01-01 – 2024-12-31	2026-06-25	2026-06-25	✓
2023-01-01 – 2023-12-31	2025-05-29	2025-05-29
2022-01-01 – 2022-12-31	2024-03-14	2024-03-14
2021-01-01 – 2021-12-31	2023-03-06	2023-08-29

Data dictionary

📋 76 data columns + 6 lineage columns

Column-level definitions are maintained by CMS in the official Medicare Part D Spending by Drug data dictionary.

Data columns

Column	Type
BRND_NAME	TEXT
GNRC_NAME	TEXT
TOT_MFTR	NUMBER
MFTR_NAME	TEXT
TOT_SPNDNG_2019	NUMBER
TOT_DSG_UNTS_2019	NUMBER
TOT_CLMS_2019	NUMBER
TOT_BENES_2019	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2019	NUMBER
AVG_SPND_PER_CLM_2019	NUMBER
AVG_SPND_PER_BENE_2019	NUMBER
OUTLIER_FLAG_2019	NUMBER
TOT_SPNDNG_2020	NUMBER
TOT_DSG_UNTS_2020	NUMBER
TOT_CLMS_2020	NUMBER
TOT_BENES_2020	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2020	NUMBER
AVG_SPND_PER_CLM_2020	NUMBER
AVG_SPND_PER_BENE_2020	NUMBER
OUTLIER_FLAG_2020	NUMBER
TOT_SPNDNG_2021	NUMBER
TOT_DSG_UNTS_2021	NUMBER
TOT_CLMS_2021	NUMBER
TOT_BENES_2021	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2021	NUMBER
AVG_SPND_PER_CLM_2021	NUMBER
AVG_SPND_PER_BENE_2021	NUMBER
OUTLIER_FLAG_2021	NUMBER
TOT_SPNDNG_2022	NUMBER
TOT_DSG_UNTS_2022	NUMBER
TOT_CLMS_2022	NUMBER
TOT_BENES_2022	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2022	NUMBER
AVG_SPND_PER_CLM_2022	NUMBER
AVG_SPND_PER_BENE_2022	NUMBER
OUTLIER_FLAG_2022	NUMBER
TOT_SPNDNG_2023	NUMBER
TOT_DSG_UNTS_2023	NUMBER
TOT_CLMS_2023	NUMBER
TOT_BENES_2023	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2023	NUMBER
AVG_SPND_PER_CLM_2023	NUMBER
AVG_SPND_PER_BENE_2023	NUMBER
OUTLIER_FLAG_2023	NUMBER
CHG_AVG_SPND_PER_DSG_UNT_22_23	NUMBER
CAGR_AVG_SPND_PER_DSG_UNT_19_23	NUMBER
TOT_SPNDNG_2018	NUMBER
TOT_SPNDNG_2017	NUMBER
TOT_DSG_UNTS_2018	NUMBER
TOT_DSG_UNTS_2017	NUMBER
TOT_CLMS_2018	NUMBER
TOT_CLMS_2017	NUMBER
TOT_BENES_2018	NUMBER
TOT_BENES_2017	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2018	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2017	NUMBER
AVG_SPND_PER_CLM_2018	NUMBER
AVG_SPND_PER_CLM_2017	NUMBER
AVG_SPND_PER_BENE_2018	NUMBER
AVG_SPND_PER_BENE_2017	NUMBER
OUTLIER_FLAG_2018	NUMBER
OUTLIER_FLAG_2017	NUMBER
CHG_AVG_SPND_PER_DSG_UNT_21_22	TEXT
CHG_AVG_SPND_PER_DSG_UNT_20_21	NUMBER
CAGR_AVG_SPND_PER_DSG_UNT_18_22	TEXT
CAGR_AVG_SPND_PER_DSG_UNT_17_21	TEXT
TOT_SPNDNG_2024	NUMBER
TOT_DSG_UNTS_2024	NUMBER
TOT_CLMS_2024	NUMBER
TOT_BENES_2024	NUMBER
AVG_SPND_PER_DSG_UNT_WGHTD_2024	NUMBER
AVG_SPND_PER_CLM_2024	NUMBER
AVG_SPND_PER_BENE_2024	NUMBER
OUTLIER_FLAG_2024	NUMBER
CHG_AVG_SPND_PER_DSG_UNT_23_24	NUMBER
CAGR_AVG_SPND_PER_DSG_UNT_20_24	NUMBER

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
CREATED_AT	TIMESTAMP_NTZ	Timestamp when the record was loaded

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:

Snowflake

SELECT d.BRND_NAME, d.GNRC_NAME, d.TOT_MFTR,
       ff.TEMPORAL_START, ff.TEMPORAL_END, ff.CMS_FEED_MODIFIED
FROM DWV.MEDICARE_PART_D_SPENDING_BY_DRUG d
JOIN DWV.FEEDS_FILES ff ON d.FILE_ID = ff.ID;

Databricks

SELECT d.brnd_name, d.gnrc_name, d.tot_mftr,
       ff.temporal_start, ff.temporal_end, ff.cms_feed_modified
FROM cms_dwv.medicare_part_d_spending_by_drug d
JOIN cms_dwv.feeds_files ff ON d.file_id = ff.id;

Source & provenance

Published by the Centers for Medicare & Medicaid Services (bureau 009:38).

• Official CMS data dictionary

• Medicare Part D Spending by Drug Methodology

Frequently asked questions

How often is Medicare Part D Spending by Drug updated?

Annually. CMS last published this feed on 2026-06-25, and Dataplex loaded it to the warehouse the same day. New releases are added automatically when CMS publishes them.

What years does Medicare Part D Spending by Drug cover?

2021 through 2024: four annual reporting periods with no gaps. Each reporting year arrives as its own file version, and all years remain queryable side by side.

How many records are in Medicare Part D Spending by Drug?

56,485 rows across all four reporting periods. Because this feed is time-partitioned, the full table total is the meaningful count; no deduplication needed.

How do I get Medicare Part D Spending by Drug data?

It's included in the CMS Data Feeds Dataset on the Snowflake Marketplace (free trial available) and via Databricks Delta Sharing. Once mounted, query DWV.MEDICARE_PART_D_SPENDING_BY_DRUG directly; no pipeline setup required.

Related feeds

Medicare Quarterly Part D Spending by DrugMedicare Part D Opioid Prescribing Rates - by GeographyMedicare Part D Prescribers - by Geography and DrugMedicare Part D Prescribers - by ProviderMedicare Part D Prescribers - by Provider and Drug

Get this feed

1. Start a free trial on Snowflake Marketplace or purchase via Databricks

2. Mount the share; the database and DWV schema appear in your account immediately

3. Run the sample query above; no ETL, no pipeline maintenance

Questions about this feed? Contact us at [e-mail].

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