> For the complete documentation index, see [llms.txt](https://docs.dataplex-consulting.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dataplex-consulting.com/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/cms-national-health-expenditure-accounts-national-by-type-of-service-source-of-funds.md). # CMS National Health Expenditure Accounts - National by Type of Service & Source of Funds Part of the [CMS Data Feeds Dataset](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog.md) › Health Dataplex delivers this CMS feed as the analysis-ready table `DWV.NHE_NATIONAL` on Snowflake and Databricks — three snapshot releases spanning 2025–2026, 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.NHE_NATIONAL` | | **Databricks** | `cms_dwv.nhe_national` | | **Cadence** | Annual | | **Update pattern** | Full-refresh — each file replaces the prior snapshot | | **CMS published** | 2026-12-01 | | **Loaded** | 2026-06-29 | | **Columns** | 7 data + 6 lineage | | **File versions** | 3 | | **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](https://app.snowflake.com/marketplace/listing/GZT1Z125KDH/dataplex-consulting-data-products-cms-data-feeds-dataset). {% hint style="success" %} **Current** — CMS last published this feed on 2026-12-01. Coverage runs through 2026-12-01. Next CMS release expected \~Dec 2027. {% endhint %} {% hint style="info" %} **Full-refresh feed** — each file version is a complete snapshot and newer files supersede older ones. Filter to the latest file (see the sample query) to avoid double-counting across versions. {% endhint %} ## Sample queries {% tabs %} {% tab title="Snowflake" %} ```sql -- Latest snapshot only (avoids double-counting across file versions) SELECT * FROM DWV.NHE_NATIONAL WHERE FILE_ID IN ( SELECT ID FROM DWV.FEEDS_FILES WHERE IS_LATEST = 1 ) LIMIT 100; ``` {% endtab %} {% tab title="Databricks" %} ```sql -- Latest snapshot only (avoids double-counting across file versions) SELECT * FROM cms_dwv.nhe_national WHERE file_id IN ( SELECT id FROM cms_dwv.feeds_files WHERE is_latest = 1 ) LIMIT 100; ``` {% endtab %} {% endtabs %} ## About this feed > Aggregate U.S. national health spending (millions of dollars) by type of service and source of funds, 1960-2033 — historical estimates plus CMS Office of the Actuary projections. One row per (type\_of\_service, source\_of\_funds, year) with a Historical/Projected marker. > > — *Source: CMS feed metadata* **Keywords:** national health expenditures, NHEA, health spending, type of service, source of funds, GDP, projections, actuary **Theme:** Health ## Coverage timeline 2025 🟩 · 2026 🟩 2 of 2 years with snapshot releases — no gaps. ## Release history | Reporting period | CMS published | Loaded | Latest file | | ------------------------- | ------------- | ---------- | ----------- | | Snapshot as of 2026-12-01 | 2026-12-01 | 2026-06-29 | ✓ | | Snapshot as of 2025-12-01 | 2025-12-01 | 2026-06-01 | | | Snapshot as of 2025-12-01 | 2025-12-01 | 2026-05-31 | | ## Data dictionary
📋 7 data columns + 6 lineage columns **Data columns** | Column | Type | Description | | ---------------------- | ------ | --------------------------------------------------------------------------------------------------------------------------------- | | `DATA_PERIOD` | TEXT | Release vintage (YYYY-12) — filter by this to select a specific annual release; the spending year is in the YEAR column. | | `TYPE_OF_SERVICE` | TEXT | Spending category (e.g. National Health Expenditures, Hospital Care, Physician and Clinical Services, Prescription Drugs). | | `SOURCE_OF_FUNDS` | TEXT | Funding source within the type of service (e.g. Total Expenditures, Out of pocket, Private Health Insurance, Medicare, Medicaid). | | `INDENT_LEVEL` | NUMBER | Leading-space indentation depth of source\_of\_funds in the source file — encodes the funding-source hierarchy (0 = top level). | | `YEAR` | NUMBER | Calendar year of the spending figure (1960-2033). | | `PROJECTION_TYPE` | TEXT | 'Historical' for estimated actuals, 'Projected' for CMS Office of the Actuary forecast years. | | `EXPENDITURE_MILLIONS` | NUMBER | Health expenditure amount in millions of U.S. dollars. | **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: ```mermaid erDiagram FEEDS ||--o{ FEEDS_FILES : "ID = FEED_ID" FEEDS ||--o{ NHE_NATIONAL : "ID = FILE_FEED_ID" FEEDS_FILES ||--o{ NHE_NATIONAL : "ID = FILE_ID" FEEDS { text ID PK text TITLE text VIEW_NAME text ACCURAL_PERIODICITY } FEEDS_FILES { text ID PK text FEED_ID FK date TEMPORAL_START date TEMPORAL_END date CMS_FEED_MODIFIED number IS_LATEST } NHE_NATIONAL { text ROW_ID PK text FILE_ID FK text FILE_FEED_ID FK text DATA_PERIOD text TYPE_OF_SERVICE text SOURCE_OF_FUNDS number INDENT_LEVEL number remaining_3_data_columns } ``` Trace any row back to its source file and reporting period: ```sql SELECT d.DATA_PERIOD, d.TYPE_OF_SERVICE, d.SOURCE_OF_FUNDS, ff.TEMPORAL_START, ff.TEMPORAL_END, ff.CMS_FEED_MODIFIED FROM DWV.NHE_NATIONAL d JOIN 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 documentation](https://www.cms.gov/data-research/statistics-trends-and-reports/national-health-expenditure-data) * [Historical](https://www.cms.gov/data-research/statistics-trends-and-reports/national-health-expenditure-data/historical) * [Projected](https://www.cms.gov/data-research/statistics-trends-and-reports/national-health-expenditure-data/projected) ## Frequently asked questions ### How often is CMS National Health Expenditure Accounts - National by Type of Service & Source of Funds updated? Annually. CMS last published this feed on 2026-12-01, and Dataplex loaded it to the warehouse on 2026-06-29. New releases are added automatically when CMS publishes them. ### What years does CMS National Health Expenditure Accounts - National by Type of Service & Source of Funds cover? 2025 through 2026. ### How many records are in CMS National Health Expenditure Accounts - National by Type of Service & Source of Funds? Count the current snapshot yourself once the share is mounted: ```sql SELECT COUNT(*) FROM DWV.NHE_NATIONAL d JOIN DWV.FEEDS_FILES ff ON d.FILE_ID = ff.ID WHERE ff.IS_LATEST = 1; ``` ### How do I get CMS National Health Expenditure Accounts - National by Type of Service & Source of Funds data? It's included in the CMS Data Feeds Dataset on the [Snowflake Marketplace](https://app.snowflake.com/marketplace/listing/GZT1Z125KDH/dataplex-consulting-data-products-cms-data-feeds-dataset) (free trial available) and via [Databricks Delta Sharing](https://checkout.dataplex-consulting.com/b/3cIdR2e1J59Sh2w7pWbQY00). Once mounted, query `DWV.NHE_NATIONAL` directly — no pipeline setup required. ## Related feeds {% content-ref url="/pages/Xi2aKDcCVwQXr5ug3ruz" %} [CMS National Health Expenditure Accounts - Health Spending by Age and Sex](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/cms-national-health-expenditure-accounts-health-spending-by-age-and-sex.md) {% endcontent-ref %} {% content-ref url="/pages/zyckf6MgxloW0pIeGoQe" %} [CMS National Health Expenditure Accounts - Health Spending by State of Residence](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/cms-national-health-expenditure-accounts-health-spending-by-state-of-residence.md) {% endcontent-ref %} {% content-ref url="/pages/Mh2nfmBSn5ZTNCnrajlP" %} [CMS National Health Expenditure Accounts - Health Spending by State of Provider](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/cms-national-health-expenditure-accounts-health-spending-by-state-of-provider.md) {% endcontent-ref %} {% content-ref url="/pages/vRQiv4QeaHCXVECuEOVg" %} [CMS Program Statistics - Medicare SNF Utilization by Covered Days of Care](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/cms-program-statistics-medicare-snf-utilization-by-covered-days-of-care.md) {% endcontent-ref %} {% content-ref url="/pages/WaGYCCDkOmkXl8j8ewvN" %} [Nursing Homes Including Rehab Services - Penalties](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/nursing-homes-including-rehab-services-penalties.md) {% endcontent-ref %} ## Get this feed 1. [Start a free trial on Snowflake Marketplace](https://app.snowflake.com/marketplace/listing/GZT1Z125KDH/dataplex-consulting-data-products-cms-data-feeds-dataset) or purchase via [Databricks](https://checkout.dataplex-consulting.com/b/3cIdR2e1J59Sh2w7pWbQY00) 2. Mount the share — the database and `DWV` schema appear in your account immediately 3. Run the [sample query](#sample-queries) above — no ETL, no pipeline maintenance Questions about this feed? Contact us at . *** Part of the [CMS Data Feeds Dataset](/data-catalog/cms-data-feeds-dataset.md) — 280+ feeds · 245B+ records · updated daily. [Back to the full catalog →](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog.md#cms-national-health-expenditure-accounts-national-by-type-of-service-source-of-funds) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. 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