> 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/medicare-geographic-variation-by-national-state-county.md). # Medicare Geographic Variation - by National, State & County Part of the [CMS Data Feeds Dataset](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog.md) › Medicare Dataplex delivers this CMS feed as the analysis-ready table `DWV.MEDICARE_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY` 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_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY` | | **Databricks** | `cms_dwv.medicare_geographic_variation__by_national_state__county` | | **Coverage** | Jan 2021 – Dec 2024 (4 of 4 annual reporting periods) | | **Rows** | 151,256 (total across all reporting periods) | | **Cadence** | Annual | | **Update pattern** | Time-partitioned — each file adds one reporting year | | **CMS published** | 2026-05-15 | | **Loaded** | 2026-05-15 | | **Columns** | 267 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](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 2026-05-15. Coverage is complete through the 2024 reporting year. Next CMS release expected \~May 2027. {% endhint %} {% hint style="info" %} **Time-partitioned feed** — each file version covers one reporting year, so history is additive. Query the full table for all years; filter on `YEAR` for a single period. Do **not** filter to the latest file only — that would return just the 2024 reporting year. {% endhint %} ## Sample queries {% tabs %} {% tab title="Snowflake" %} ```sql -- Each file version covers one reporting period (2021, 2022, 2023, 2024) — history is additive SELECT * FROM DWV.MEDICARE_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY LIMIT 100; ``` {% endtab %} {% tab title="Databricks" %} ```sql -- Each file version covers one reporting period (2021, 2022, 2023, 2024) — history is additive SELECT * FROM cms_dwv.medicare_geographic_variation__by_national_state__county LIMIT 100; ``` {% endtab %} {% endtabs %} ## About this feed > The Medicare Geographic Variation by National, State & County dataset provides information on the geographic differences in the use and quality of health care services for the Original Medicare population. This dataset contains demographic, spending, use, and quality indicators at the state level (including the District of Columbia, Puerto Rico, and the Virgin Islands) and the county level. > > Spending is standardized to remove geographic differences in payment rates for individual services as a source of variation. In general, total standardized per capita costs are less than actual per capita costs because the extra payments Medicare made to hospitals were removed, such as payments for medical education (both direct and indirect) and payments to hospitals that serve a disproportionate share of low-income patients. Standardization does not adjust for differences in beneficiaries’ health status. > > — *Source: CMS feed metadata* **Keywords:** National, States & Territories, Counties, Medicare, Original Medicare, Health Care Use & Payments, Health Equity **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 | 2026-05-15 | 2026-05-15 | ✓ | | 2023-01-01 – 2023-12-31 | 2025-04-24 | 2025-04-24 | | | 2022-01-01 – 2022-12-31 | 2024-05-16 | 2024-05-16 | | | 2021-01-01 – 2021-12-31 | 2023-03-06 | 2023-08-29 | | ## Data dictionary
📋 267 data columns + 6 lineage columns Column-level definitions are maintained by CMS in the official [Medicare Geographic Variation - by National, State & County data dictionary](https://data.cms.gov/sites/default/files/2026-05/267755af-8e26-4bcd-a3ea-fef41c96b7fc/2014-2024%20Original%20Medicare%20Geographic%20Variation%20Data%20Dictionary.pdf). **Data columns** | Column | Type | | ---------------------------------- | ------ | | `YEAR` | NUMBER | | `BENE_GEO_LVL` | TEXT | | `BENE_GEO_DESC` | TEXT | | `BENE_GEO_CD` | NUMBER | | `BENE_AGE_LVL` | TEXT | | `BENES_TOTAL_CNT` | NUMBER | | `BENES_WTH_PTAPTB_CNT` | NUMBER | | `BENES_FFS_CNT` | NUMBER | | `BENES_MA_CNT` | NUMBER | | `MA_PRTCPTN_RATE` | NUMBER | | `BENE_AVG_AGE` | NUMBER | | `BENE_FEML_PCT` | NUMBER | | `BENE_MALE_PCT` | NUMBER | | `BENE_RACE_WHT_PCT` | NUMBER | | `BENE_RACE_BLACK_PCT` | NUMBER | | `BENE_RACE_HSPNC_PCT` | NUMBER | | `BENE_RACE_OTHR_PCT` | NUMBER | | `BENE_DUAL_PCT` | NUMBER | | `BENE_AVG_RISK_SCRE` | NUMBER | | `TOT_MDCR_PYMT_AMT` | NUMBER | | `TOT_MDCR_STDZD_PYMT_AMT` | NUMBER | | `TOT_MDCR_PYMT_PC` | NUMBER | | `TOT_MDCR_STDZD_PYMT_PC` | NUMBER | | `IP_MDCR_PYMT_AMT` | NUMBER | | `IP_MDCR_PYMT_PCT` | NUMBER | | `IP_MDCR_PYMT_PC` | NUMBER | | `IP_MDCR_PYMT_PER_USER` | NUMBER | | `IP_MDCR_STDZD_PYMT_AMT` | NUMBER | | `IP_MDCR_STDZD_PYMT_PCT` | NUMBER | | `IP_MDCR_STDZD_PYMT_PC` | NUMBER | | `IP_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_IP_CVRD_STAY_CNT` | NUMBER | | `BENES_IP_PCT` | NUMBER | | `IP_CVRD_STAYS_PER_1000_BENES` | NUMBER | | `IP_CVRD_DAYS_PER_1000_BENES` | NUMBER | | `ACUTE_HOSP_READMSN_CNT` | NUMBER | | `ACUTE_HOSP_READMSN_PCT` | NUMBER | | `BENES_ER_VISITS_CNT` | NUMBER | | `ER_VISITS_PER_1000_BENES` | NUMBER | | `BENES_ER_VISITS_PCT` | NUMBER | | `OP_MDCR_PYMT_AMT` | NUMBER | | `OP_MDCR_PYMT_PCT` | NUMBER | | `OP_MDCR_PYMT_PC` | NUMBER | | `OP_MDCR_PYMT_PER_USER` | NUMBER | | `OP_MDCR_STDZD_PYMT_AMT` | NUMBER | | `OP_MDCR_STDZD_PYMT_PCT` | NUMBER | | `OP_MDCR_STDZD_PYMT_PC` | NUMBER | | `OP_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_OP_CNT` | NUMBER | | `BENES_OP_PCT` | NUMBER | | `OP_VISITS_PER_1000_BENES` | NUMBER | | `ASC_MDCR_PYMT_AMT` | NUMBER | | `ASC_MDCR_PYMT_PCT` | NUMBER | | `ASC_MDCR_PYMT_PC` | NUMBER | | `ASC_MDCR_PYMT_PER_USER` | NUMBER | | `ASC_MDCR_STDZD_PYMT_AMT` | NUMBER | | `ASC_MDCR_STDZD_PYMT_PCT` | NUMBER | | `ASC_MDCR_STDZD_PYMT_PC` | NUMBER | | `ASC_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_ASC_CNT` | NUMBER | | `BENES_ASC_PCT` | NUMBER | | `ASC_EVNTS_PER_1000_BENES` | NUMBER | | `SNF_MDCR_PYMT_AMT` | NUMBER | | `SNF_MDCR_PYMT_PCT` | NUMBER | | `SNF_MDCR_PYMT_PC` | NUMBER | | `SNF_MDCR_PYMT_PER_USER` | NUMBER | | `SNF_MDCR_STDZD_PYMT_AMT` | NUMBER | | `SNF_MDCR_STDZD_PYMT_PCT` | NUMBER | | `SNF_MDCR_STDZD_PYMT_PC` | NUMBER | | `SNF_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_SNF_CNT` | NUMBER | | `BENES_SNF_PCT` | NUMBER | | `SNF_CVRD_STAYS_PER_1000_BENES` | NUMBER | | `SNF_CVRD_DAYS_PER_1000_BENES` | NUMBER | | `IRF_MDCR_PYMT_AMT` | NUMBER | | `IRF_MDCR_PYMT_PCT` | NUMBER | | `IRF_MDCR_PYMT_PC` | NUMBER | | `IRF_MDCR_PYMT_PER_USER` | NUMBER | | `IRF_MDCR_STDZD_PYMT_AMT` | NUMBER | | `IRF_MDCR_STDZD_PYMT_PCT` | NUMBER | | `IRF_MDCR_STDZD_PYMT_PC` | NUMBER | | `IRF_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_IRF_CNT` | NUMBER | | `BENES_IRF_PCT` | NUMBER | | `IRF_CVRD_STAYS_PER_1000_BENES` | NUMBER | | `IRF_CVRD_DAYS_PER_1000_BENES` | NUMBER | | `LTCH_MDCR_PYMT_AMT` | NUMBER | | `LTCH_MDCR_PYMT_PCT` | NUMBER | | `LTCH_MDCR_PYMT_PC` | NUMBER | | `LTCH_MDCR_PYMT_PER_USER` | NUMBER | | `LTCH_MDCR_STDZD_PYMT_AMT` | NUMBER | | `LTCH_MDCR_STDZD_PYMT_PCT` | NUMBER | | `LTCH_MDCR_STDZD_PYMT_PC` | NUMBER | | `LTCH_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_LTCH_CNT` | NUMBER | | `BENES_LTCH_PCT` | NUMBER | | `LTCH_CVRD_STAYS_PER_1000_BENES` | NUMBER | | `LTCH_CVRD_DAYS_PER_1000_BENES` | NUMBER | | `HH_MDCR_PYMT_AMT` | NUMBER | | `HH_MDCR_PYMT_PCT` | NUMBER | | `HH_MDCR_PYMT_PC` | NUMBER | | `HH_MDCR_PYMT_PER_USER` | NUMBER | | `HH_MDCR_STDZD_PYMT_AMT` | NUMBER | | `HH_MDCR_STDZD_PYMT_PCT` | NUMBER | | `HH_MDCR_STDZD_PYMT_PC` | NUMBER | | `HH_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_HH_CNT` | NUMBER | | `BENES_HH_PCT` | NUMBER | | `HH_EPISODES_PER_1000_BENES` | NUMBER | | `HH_VISITS_PER_1000_BENES` | NUMBER | | `HOSPC_MDCR_PYMT_AMT` | NUMBER | | `HOSPC_MDCR_PYMT_PCT` | NUMBER | | `HOSPC_MDCR_PYMT_PC` | NUMBER | | `HOSPC_MDCR_PYMT_PER_USER` | NUMBER | | `HOSPC_MDCR_STDZD_PYMT_AMT` | NUMBER | | `HOSPC_MDCR_STDZD_PYMT_PCT` | NUMBER | | `HOSPC_MDCR_STDZD_PYMT_PC` | NUMBER | | `HOSPC_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_HOSPC_CNT` | NUMBER | | `BENES_HOSPC_PCT` | NUMBER | | `HOSPC_CVRD_STAYS_PER_1000_BENES` | NUMBER | | `HOSPC_CVRD_DAYS_PER_1000_BENES` | NUMBER | | `EM_MDCR_PYMT_AMT` | NUMBER | | `EM_MDCR_PYMT_PCT` | NUMBER | | `EM_MDCR_PYMT_PC` | NUMBER | | `EM_MDCR_PYMT_PER_USER` | NUMBER | | `EM_MDCR_STDZD_PYMT_AMT` | NUMBER | | `EM_MDCR_STDZD_PYMT_PCT` | NUMBER | | `EM_MDCR_STDZD_PYMT_PC` | NUMBER | | `EM_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_EM_CNT` | NUMBER | | `BENES_EM_PCT` | NUMBER | | `EM_EVNTS_PER_1000_BENES` | NUMBER | | `PRCDRS_MDCR_PYMT_AMT` | NUMBER | | `PRCDRS_MDCR_PYMT_PCT` | NUMBER | | `PRCDRS_MDCR_PYMT_PC` | NUMBER | | `PRCDRS_MDCR_PYMT_PER_USER` | NUMBER | | `PRCDRS_MDCR_STDZD_PYMT_AMT` | NUMBER | | `PRCDRS_MDCR_STDZD_PYMT_PCT` | NUMBER | | `PRCDRS_MDCR_STDZD_PYMT_PC` | NUMBER | | `PRCDRS_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_PRCDRS_CNT` | NUMBER | | `BENES_PRCDRS_PCT` | NUMBER | | `PRCDR_EVNTS_PER_1000_BENES` | NUMBER | | `TESTS_MDCR_PYMT_AMT` | NUMBER | | `TESTS_MDCR_PYMT_PCT` | NUMBER | | `TESTS_MDCR_PYMT_PC` | NUMBER | | `TESTS_MDCR_PYMT_PER_USER` | NUMBER | | `TESTS_MDCR_STDZD_PYMT_AMT` | NUMBER | | `TESTS_MDCR_STDZD_PYMT_PCT` | NUMBER | | `TESTS_MDCR_STDZD_PYMT_PC` | NUMBER | | `TESTS_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_TESTS_CNT` | NUMBER | | `BENES_TESTS_PCT` | NUMBER | | `TESTS_EVNTS_PER_1000_BENES` | NUMBER | | `IMGNG_MDCR_PYMT_AMT` | NUMBER | | `IMGNG_MDCR_PYMT_PCT` | NUMBER | | `IMGNG_MDCR_PYMT_PC` | NUMBER | | `IMGNG_MDCR_PYMT_PER_USER` | NUMBER | | `IMGNG_MDCR_STDZD_PYMT_AMT` | NUMBER | | `IMGNG_MDCR_STDZD_PYMT_PCT` | NUMBER | | `IMGNG_MDCR_STDZD_PYMT_PC` | NUMBER | | `IMGNG_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_IMGNG_CNT` | NUMBER | | `BENES_IMGNG_PCT` | NUMBER | | `IMGNG_EVNTS_PER_1000_BENES` | NUMBER | | `DME_MDCR_PYMT_AMT` | NUMBER | | `DME_MDCR_PYMT_PCT` | NUMBER | | `DME_MDCR_PYMT_PC` | NUMBER | | `DME_MDCR_PYMT_PER_USER` | NUMBER | | `DME_MDCR_STDZD_PYMT_AMT` | NUMBER | | `DME_MDCR_STDZD_PYMT_PCT` | NUMBER | | `DME_MDCR_STDZD_PYMT_PC` | NUMBER | | `DME_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_DME_CNT` | NUMBER | | `BENES_DME_PCT` | NUMBER | | `DME_EVNTS_PER_1000_BENES` | NUMBER | | `OP_DLYS_MDCR_PYMT_AMT` | NUMBER | | `OP_DLYS_MDCR_PYMT_PCT` | NUMBER | | `OP_DLYS_MDCR_PYMT_PC` | NUMBER | | `OP_DLYS_MDCR_PYMT_PER_USER` | NUMBER | | `OP_DLYS_MDCR_STDZD_PYMT_AMT` | NUMBER | | `OP_DLYS_MDCR_STDZD_PYMT_PCT` | NUMBER | | `OP_DLYS_MDCR_STDZD_PYMT_PC` | NUMBER | | `OP_DLYS_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_OP_DLYS_CNT` | NUMBER | | `BENES_OP_DLYS_PCT` | NUMBER | | `OP_DLYS_VISITS_PER_1000_BENES` | NUMBER | | `FQHC_RHC_MDCR_PYMT_AMT` | NUMBER | | `FQHC_RHC_MDCR_PYMT_PCT` | NUMBER | | `FQHC_RHC_MDCR_PYMT_PC` | NUMBER | | `FQHC_RHC_MDCR_PYMT_PER_USER` | NUMBER | | `FQHC_RHC_MDCR_STDZD_PYMT_AMT` | NUMBER | | `FQHC_RHC_MDCR_STDZD_PYMT_PCT` | NUMBER | | `FQHC_RHC_MDCR_STDZD_PYMT_PC` | NUMBER | | `FQHC_RHC_MDCR_STDZD_PYMT_PU` | NUMBER | | `BENES_FQHC_RHC_CNT` | NUMBER | | `BENES_FQHC_RHC_PCT` | NUMBER | | `FQHC_RHC_VISITS_PER_1000_BENES` | NUMBER | | `AMBLNC_MDCR_PYMT_AMT` | NUMBER | | `AMBLNC_MDCR_PYMT_PCT` | NUMBER | | `AMBLNC_MDCR_PYMT_PC` | NUMBER | | `AMBLNC_MDCR_PYMT_PER_USER` | NUMBER | | `AMBLNC_MDCR_STDZD_PYMT_AMT` | NUMBER | | `AMBLNC_MDCR_STDZD_PYMT_PCT` | NUMBER | | `AMBLNC_MDCR_STDZD_PYMT_PC` | NUMBER | | `AMBLNC_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_AMBLNC_CNT` | NUMBER | | `BENES_AMBLNC_PCT` | NUMBER | | `AMBLNC_EVNTS_PER_1000_BENES` | NUMBER | | `TRTMNTS_MDCR_PYMT_AMT` | NUMBER | | `TRTMNTS_MDCR_PYMT_PCT` | NUMBER | | `TRTMNTS_MDCR_PYMT_PC` | NUMBER | | `TRTMNTS_MDCR_PYMT_PER_USER` | NUMBER | | `TRTMNTS_MDCR_STDZD_PYMT_AMT` | NUMBER | | `TRTMNTS_MDCR_STDZD_PYMT_PCT` | NUMBER | | `TRTMNTS_MDCR_STDZD_PYMT_PC` | NUMBER | | `TRTMNTS_MDCR_STDZD_PYMT_PER_USER` | NUMBER | | `BENES_TRTMNTS_CNT` | NUMBER | | `BENES_TRTMNTS_PCT` | NUMBER | | `TRTMNTS_EVNTS_PER_1000_BENES` | NUMBER | | `PTB_OTHR_SRVCS_MDCR_PYMT_AMT` | NUMBER | | `PTB_OTHR_SRVCS_MDCR_STDZD_PYMT` | NUMBER | | `TOT_PBPMT_RDCTN_AMT` | TEXT | | `TOT_PBPMT_RDCTN_PCC` | TEXT | | `PQI03_DBTS_AGE_LT_65` | TEXT | | `PQI03_DBTS_AGE_65_74` | TEXT | | `PQI03_DBTS_AGE_GE_75` | TEXT | | `PQI05_COPD_ASTHMA_AGE_40_64` | TEXT | | `PQI05_COPD_ASTHMA_AGE_65_74` | TEXT | | `PQI05_COPD_ASTHMA_AGE_GE_75` | TEXT | | `PQI07_HYPRTNSN_AGE_LT_65` | TEXT | | `PQI07_HYPRTNSN_AGE_65_74` | TEXT | | `PQI07_HYPRTNSN_AGE_GE_75` | TEXT | | `PQI08_CHF_AGE_LT_65` | TEXT | | `PQI08_CHF_AGE_65_74` | TEXT | | `PQI08_CHF_AGE_GE_75` | TEXT | | `PQI11_BCTRL_PNA_AGE_LT_65` | TEXT | | `PQI11_BCTRL_PNA_AGE_65_74` | TEXT | | `PQI11_BCTRL_PNA_AGE_GE_75` | TEXT | | `PQI12_UTI_AGE_LT_65` | TEXT | | `PQI12_UTI_AGE_65_74` | TEXT | | `PQI12_UTI_AGE_GE_75` | TEXT | | `PQI15_ASTHMA_AGE_LT_40` | TEXT | | `PQI16_LWRXTRMTY_AMPUTN_AGE_LT_65` | TEXT | | `PQI16_LWRXTRMTY_AMPUTN_AGE_65_74` | TEXT | | `PQI16_LWRXTRMTY_AMPUTN_AGE_GE_75` | TEXT | | `BENES_EVER_MA_CNT` | NUMBER | | `EVER_MA_PRTCPTN_RATE` | NUMBER | | `TOT_MDCR_STDZD_RA_PYMT_AMT` | NUMBER | | `TOT_MDCR_STDZD_RA_PYMT_PC` | NUMBER | | `ASC_EVENTS_PER_1000_BENES` | NUMBER | | `HH_CVRD_STAYS_PER_1000_BENES` | NUMBER | | `PTB_DRUGS_MDCR_PYMT_AMT` | NUMBER | | `PTB_DRUGS_MDCR_PYMT_PCT` | NUMBER | | `PTB_DRUGS_MDCR_PYMT_PC` | NUMBER | | `PTB_DRUGS_MDCR_PYMT_PU` | NUMBER | | `PTB_DRUGS_MDCR_STDZD_PYMT_AMT` | NUMBER | | `PTB_DRUGS_MDCR_STDZD_PYMT_PCT` | NUMBER | | `PTB_DRUGS_MDCR_STDZD_PYMT_PC` | NUMBER | | `PTB_DRUGS_MDCR_STDZD_PYMT_PU` | NUMBER | | `BENES_PTB_DRUGS_CNT` | NUMBER | | `BENES_PTB_DRUGS_PCT` | NUMBER | | `PQI10_DHYDRTN_AGE_LT_65` | TEXT | | `PQI10_DHYDRTN_AGE_65_74` | TEXT | | `PQI10_DHYDRTN_AGE_GE_75` | TEXT | | `BENES_OM_CNT` | 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: ```mermaid erDiagram FEEDS ||--o{ FEEDS_FILES : "ID = FEED_ID" FEEDS ||--o{ MEDICARE_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY : "ID = FILE_FEED_ID" FEEDS_FILES ||--o{ MEDICARE_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY : "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 } MEDICARE_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY { text ROW_ID PK text FILE_ID FK text FILE_FEED_ID FK number YEAR text BENE_GEO_LVL text BENE_GEO_DESC number BENE_GEO_CD number remaining_263_data_columns } ``` Trace any row back to its source file and reporting period: ```sql SELECT d.YEAR, d.BENE_GEO_LVL, d.BENE_GEO_DESC, ff.TEMPORAL_START, ff.TEMPORAL_END, ff.CMS_FEED_MODIFIED FROM DWV.MEDICARE_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY 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://data.cms.gov/sites/default/files/2026-05/267755af-8e26-4bcd-a3ea-fef41c96b7fc/2014-2024%20Original%20Medicare%20Geographic%20Variation%20Data%20Dictionary.pdf) * [Original%20medicare%20geographic%20variation%20public%20use%20file%20methods%20paper](https://data.cms.gov/sites/default/files/2026-05/Original%20Medicare%20Geographic%20Variation%20Public%20Use%20File%20Methods%20Paper.pdf) ## Frequently asked questions ### How often is Medicare Geographic Variation - by National, State & County updated? Annually. CMS last published this feed on 2026-05-15, and Dataplex loaded it to the warehouse the same day. New releases are added automatically when CMS publishes them. ### What years does Medicare Geographic Variation - by National, State & County 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 Geographic Variation - by National, State & County? 151,256 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 Geographic Variation - by National, State & County 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.MEDICARE_GEOGRAPHIC_VARIATION__BY_NATIONAL_STATE__COUNTY` directly — no pipeline setup required. ## Related feeds {% content-ref url="/pages/Uyp5dZjGoIrc5ypyJYQ9" %} [Multiple Chronic Conditions](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/multiple-chronic-conditions.md) {% endcontent-ref %} {% content-ref url="/pages/ObHxy8Bkd9I5jjhCGzwg" %} [Specific Chronic Conditions](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/specific-chronic-conditions.md) {% endcontent-ref %} {% content-ref url="/pages/T4w8Iold4mu27PCDN72G" %} [Medicare Inpatient Hospitals - by Geography and Service](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/medicare-inpatient-hospitals-by-geography-and-service.md) {% endcontent-ref %} {% content-ref url="/pages/mLAzRSEXMTntOoMnqquk" %} [Medicare Durable Medical Equipment, Devices & Supplies - by Geography and Service](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/medicare-durable-medical-equipment-devices-supplies-by-geography-and-service.md) {% endcontent-ref %} {% content-ref url="/pages/rbWJsiOOm1fFT4s84H9g" %} [Medicare Physician & Other Practitioners - by Geography and Service](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/medicare-physician-other-practitioners-by-geography-and-service.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#medicare-geographic-variation-by-national-state-county) --- # 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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