> 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/payroll-based-journal-daily-non-nurse-staffing.md). # Payroll Based Journal Daily Non-Nurse Staffing 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.PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING` on Snowflake and Databricks — coverage from 2017 to 2025 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.PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING` | | **Databricks** | `cms_dwv.payroll_based_journal_daily_nonnurse_staffing` | | **Coverage** | Jan 2017 – Dec 2025 | | **Rows** | 49,021,230 (total across all reporting periods) | | **Cadence** | Quarterly | | **Update pattern** | Time-partitioned — each file adds one reporting period | | **CMS published** | 2026-04-29 | | **Loaded** | 2026-04-29 | | **Columns** | 83 data + 6 lineage | | **Identifiers** | FIPS codes | | **File versions** | 37 | | **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 2026-04-29. Coverage runs through 2025-12-31. Next CMS release expected \~Jul 2026. {% endhint %} {% hint style="info" %} **Time-partitioned feed** — each file version covers one reporting period, so history is additive. Query the full table for all periods; filter on the reporting period columns for a single period. Do **not** filter to the latest file only — that would return just the 2025 reporting period. {% endhint %} ## Sample queries {% tabs %} {% tab title="Snowflake" %} ```sql -- Each file version covers one reporting period — history is additive SELECT * FROM DWV.PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING LIMIT 100; ``` {% endtab %} {% tab title="Databricks" %} ```sql -- Each file version covers one reporting period — history is additive SELECT * FROM cms_dwv.payroll_based_journal_daily_nonnurse_staffing LIMIT 100; ``` {% endtab %} {% endtabs %} ## About this feed > The Payroll Based Journal (PBJ) Nurse Staffing and Non-Nurse Staffing datasets provide information submitted by nursing homes including rehabilitation services on a quarterly basis. The data include the hours staff are paid to work each day, for each facility. Examples of reporting categories include Director of Nursing, Administrative Registered Nurses, Registered Nursing, Administrative Licensed Practice Nurses, Licensed Practice Nurses, Certified Nurse Aides, Certified Medication Aides, and Nurse Aides in Training. There are also other non-nurse staff categories provided in the data such as Respiratory Therapist, Occupational Therapist, and Social Worker. The datasets also include a facility’s daily census calculated using the Minimum Data Set (MDS) submission. > > — *Source: CMS feed metadata* **Keywords:** Medicare, Original Medicare, Hospitals & Facilities, Skilled Nursing, Health Care Use & Payments **Theme:** Medicare ## Coverage timeline 2017–2025 🟩🟩🟩🟩🟩🟩🟩🟩🟩 (🟩 covered · ⬜ no data) 9 of 9 years covered — no gaps. ## Release history | Reporting period | CMS published | Loaded | Latest file | | ----------------------- | ------------- | ---------- | ----------- | | 2025-10-01 – 2025-12-31 | 2026-04-29 | 2026-04-29 | ✓ | | 2025-07-01 – 2025-09-30 | 2026-02-05 | 2026-02-06 | | | 2025-04-01 – 2025-06-30 | 2025-11-20 | 2025-11-20 | | | 2025-01-01 – 2025-03-31 | 2025-09-11 | 2025-10-18 | | | 2025-01-01 – 2025-03-31 | 2025-07-15 | 2025-07-15 | | | 2024-10-01 – 2024-12-31 | 2025-04-30 | 2025-04-30 | | | 2024-07-01 – 2024-09-30 | 2025-04-02 | 2025-04-02 | | | 2024-04-01 – 2024-06-30 | 2024-10-31 | 2024-10-31 | | | 2024-01-01 – 2024-03-31 | 2024-07-31 | 2024-07-31 | | | 2023-10-01 – 2023-12-31 | 2024-04-24 | 2024-04-24 | |
Show 27 earlier file versions | Reporting period | CMS published | Loaded | Latest file | | ----------------------- | ------------- | ---------- | ----------- | | 2023-07-01 – 2023-09-30 | 2024-01-31 | 2024-01-31 | | | 2023-04-01 – 2023-06-30 | 2023-10-25 | 2023-10-25 | | | 2023-01-01 – 2023-03-31 | 2023-07-26 | 2023-08-29 | | | 2022-10-01 – 2022-12-31 | 2023-04-26 | 2023-08-29 | | | 2022-07-01 – 2022-09-30 | 2023-03-06 | 2023-08-29 | | | 2022-04-01 – 2022-06-30 | 2022-10-26 | 2023-08-29 | | | 2022-01-01 – 2022-03-31 | 2022-07-27 | 2023-08-29 | | | 2021-10-01 – 2021-12-31 | 2022-04-27 | 2023-08-29 | | | 2021-07-01 – 2021-09-30 | 2022-01-26 | 2023-08-29 | | | 2021-04-01 – 2021-06-30 | 2021-10-14 | 2023-08-29 | | | 2021-01-01 – 2021-03-31 | 2021-07-14 | 2023-08-29 | | | 2020-10-01 – 2020-12-31 | 2021-07-09 | 2023-08-29 | | | 2020-07-01 – 2020-09-30 | 2021-07-08 | 2023-08-29 | | | 2020-04-01 – 2020-06-30 | 2021-07-08 | 2023-08-29 | | | 2020-01-01 – 2020-03-31 | 2021-10-06 | 2023-08-29 | | | 2019-10-01 – 2019-12-31 | 2021-07-08 | 2023-08-29 | | | 2019-07-01 – 2019-09-30 | 2021-07-08 | 2023-08-29 | | | 2019-04-01 – 2019-06-30 | 2021-07-08 | 2023-08-29 | | | 2019-01-01 – 2019-03-31 | 2021-07-08 | 2023-08-29 | | | 2018-10-01 – 2018-12-31 | 2021-07-08 | 2023-08-29 | | | 2018-07-01 – 2018-09-30 | 2022-04-06 | 2023-08-29 | | | 2018-04-01 – 2018-06-30 | 2022-04-06 | 2023-08-29 | | | 2018-01-01 – 2018-03-31 | 2022-04-06 | 2023-08-29 | | | 2017-10-01 – 2017-12-31 | 2022-04-06 | 2023-08-29 | | | 2017-07-01 – 2017-09-30 | 2022-04-06 | 2023-08-29 | | | 2017-04-01 – 2017-06-30 | 2022-04-06 | 2023-08-29 | | | 2017-01-01 – 2017-03-31 | 2022-04-06 | 2023-08-29 | |
## Data dictionary
📋 83 data columns + 6 lineage columns Column-level definitions are maintained by CMS in the official [Payroll Based Journal Daily Non-Nurse Staffing data dictionary](https://data.cms.gov/resources/payroll-based-journal-daily-non-nurse-staffing-data-dictionary). **Data columns** | Column | Type | | ---------------------- | ------ | | `PROVNUM` | TEXT | | `PROVNAME` | TEXT | | `CITY` | TEXT | | `STATE` | TEXT | | `COUNTY_NAME` | TEXT | | `COUNTY_FIPS` | NUMBER | | `CY_QTR` | TEXT | | `WORKDATE` | NUMBER | | `MDSCENSUS` | NUMBER | | `HRS_ADMIN` | NUMBER | | `HRS_ADMIN_EMP` | NUMBER | | `HRS_ADMIN_CTR` | NUMBER | | `HRS_ADMIN_FN` | TEXT | | `HRS_MEDDIR` | NUMBER | | `HRS_MEDDIR_EMP` | NUMBER | | `HRS_MEDDIR_CTR` | NUMBER | | `HRS_OTHMD` | NUMBER | | `HRS_OTHMD_EMP` | NUMBER | | `HRS_OTHMD_CTR` | NUMBER | | `HRS_PA` | NUMBER | | `HRS_PA_EMP` | NUMBER | | `HRS_PA_CTR` | NUMBER | | `HRS_NP` | NUMBER | | `HRS_NP_EMP` | NUMBER | | `HRS_NP_CTR` | NUMBER | | `HRS_CLINNRSSPEC` | NUMBER | | `HRS_CLINNRSSPEC_EMP` | NUMBER | | `HRS_CLINNRSSPEC_CTR` | NUMBER | | `HRS_PHARMACIST` | NUMBER | | `HRS_PHARMACIST_EMP` | NUMBER | | `HRS_PHARMACIST_CTR` | NUMBER | | `HRS_DIETICIAN` | NUMBER | | `HRS_DIETICIAN_EMP` | NUMBER | | `HRS_DIETICIAN_CTR` | NUMBER | | `HRS_FEEDASST` | NUMBER | | `HRS_FEEDASST_EMP` | NUMBER | | `HRS_FEEDASST_CTR` | NUMBER | | `HRS_OT` | NUMBER | | `HRS_OT_EMP` | NUMBER | | `HRS_OT_CTR` | NUMBER | | `HRS_OTASST` | NUMBER | | `HRS_OTASST_EMP` | NUMBER | | `HRS_OTASST_CTR` | NUMBER | | `HRS_OTAIDE` | NUMBER | | `HRS_OTAIDE_EMP` | NUMBER | | `HRS_OTAIDE_CTR` | NUMBER | | `HRS_PT` | NUMBER | | `HRS_PT_EMP` | NUMBER | | `HRS_PT_CTR` | NUMBER | | `HRS_PTASST` | NUMBER | | `HRS_PTASST_EMP` | NUMBER | | `HRS_PTASST_CTR` | NUMBER | | `HRS_PTAIDE` | NUMBER | | `HRS_PTAIDE_EMP` | NUMBER | | `HRS_PTAIDE_CTR` | NUMBER | | `HRS_RESPTHER` | NUMBER | | `HRS_RESPTHER_EMP` | NUMBER | | `HRS_RESPTHER_CTR` | NUMBER | | `HRS_RESPTECH` | NUMBER | | `HRS_RESPTECH_EMP` | NUMBER | | `HRS_RESPTECH_CTR` | NUMBER | | `HRS_SPCLANGPATH` | NUMBER | | `HRS_SPCLANGPATH_EMP` | NUMBER | | `HRS_SPCLANGPATH_CTR` | NUMBER | | `HRS_THERRECSPEC` | NUMBER | | `HRS_THERRECSPEC_EMP` | NUMBER | | `HRS_THERRECSPEC_CTR` | NUMBER | | `HRS_QUALACTVPROF` | NUMBER | | `HRS_QUALACTVPROF_EMP` | NUMBER | | `HRS_QUALACTVPROF_CTR` | NUMBER | | `HRS_OTHACTV` | NUMBER | | `HRS_OTHACTV_EMP` | NUMBER | | `HRS_OTHACTV_CTR` | NUMBER | | `HRS_QUALSOCWRK` | NUMBER | | `HRS_QUALSOCWRK_EMP` | NUMBER | | `HRS_QUALSOCWRK_CTR` | NUMBER | | `HRS_OTHSOCWRK` | NUMBER | | `HRS_OTHSOCWRK_EMP` | NUMBER | | `HRS_OTHSOCWRK_CTR` | NUMBER | | `HRS_MHSVC` | NUMBER | | `HRS_MHSVC_EMP` | NUMBER | | `HRS_MHSVC_CTR` | NUMBER | | `INCOMPLETE` | 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{ PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING : "ID = FILE_FEED_ID" FEEDS_FILES ||--o{ PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING : "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 } PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING { text ROW_ID PK text FILE_ID FK text FILE_FEED_ID FK text PROVNUM text PROVNAME text CITY text STATE number remaining_79_data_columns } ``` Trace any row back to its source file and reporting period: ```sql SELECT d.PROVNUM, d.PROVNAME, d.CITY, ff.TEMPORAL_START, ff.TEMPORAL_END, ff.CMS_FEED_MODIFIED FROM DWV.PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING 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 data dictionary](https://data.cms.gov/resources/payroll-based-journal-daily-non-nurse-staffing-data-dictionary) * [Payroll Based Journal Methodology 0](https://data.cms.gov/resources/payroll-based-journal-methodology-0) ## Frequently asked questions ### How often is Payroll Based Journal Daily Non-Nurse Staffing updated? Quarterly. CMS last published this feed on 2026-04-29, and Dataplex loaded it to the warehouse the same day. New releases are added automatically when CMS publishes them. ### What years does Payroll Based Journal Daily Non-Nurse Staffing cover? 2017 through 2025. ### How many records are in Payroll Based Journal Daily Non-Nurse Staffing? 49,021,230 rows across all 37 reporting periods. Because this feed is time-partitioned, the full table total is the meaningful count — no deduplication needed. ### How do I get Payroll Based Journal Daily Non-Nurse Staffing 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.PAYROLL_BASED_JOURNAL_DAILY_NONNURSE_STAFFING` directly — no pipeline setup required. ## Related feeds {% content-ref url="/pages/OQhADkpAWBxrWV3pBK1x" %} [Payroll Based Journal Employee Detail Nursing Home Staffing](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/payroll-based-journal-employee-detail-nursing-home-staffing.md) {% endcontent-ref %} {% content-ref url="/pages/KhY9ywEKkMe8aup1oyDx" %} [Medicare Post-Acute Care Utilization - Skilled Nursing Facility by Geography/Provider and Case-Mix Grouping](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/medicare-post-acute-care-utilization-skilled-nursing-facility-by-geographyprovider-and-case-mix-grou.md) {% endcontent-ref %} {% content-ref url="/pages/w9EmSkF4fT7S7SRm8U4Q" %} [Payroll Based Journal Daily Nurse Staffing](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/payroll-based-journal-daily-nurse-staffing.md) {% endcontent-ref %} {% content-ref url="/pages/KLVUvs9gEuf0xaeN85um" %} [Medicare Post-Acute Care Utilization - Skilled Nursing Facility by Geography, Provider and Service](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/medicare-post-acute-care-utilization-skilled-nursing-facility-by-geography-provider-and-service.md) {% endcontent-ref %} {% content-ref url="/pages/0JExrAkXSJtHUfvuwdBJ" %} [Medicare Post-Acute Care Utilization - Skilled Nursing Facility by Geography and Provider](/data-catalog/cms-data-feeds-dataset/cms-data-feeds-catalog/medicare-post-acute-care-utilization-skilled-nursing-facility-by-geography-and-provider.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#payroll-based-journal-daily-non-nurse-staffing) --- # 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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