Payroll Based Journal Daily Nurse Staffing

The Payroll Based Journal (PBJ) Nurse Staffing and Non-Nurse Staffing datasets provide information submitted by nursing homes including rehabilitation…

Part of the CMS Data Feeds Dataset › Medicare

Dataplex delivers this CMS feed as the analysis-ready table DWV.PAYROLL_BASED_JOURNAL_DAILY_NURSE_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_NURSE_STAFFING
Databricks	cms_dwv.payroll_based_journal_daily_nurse_staffing
Coverage	Jan 2017 – Dec 2025
Rows	49,021,227 (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	37 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.

Current — CMS last published this feed on 2026-04-29. Coverage runs through 2025-12-31. Next CMS release expected ~Jul 2026.

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.

Sample queries

Snowflake

-- Each file version covers one reporting period — history is additive
SELECT *
FROM DWV.PAYROLL_BASED_JOURNAL_DAILY_NURSE_STAFFING
LIMIT 100;

Databricks

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 View Data link above includes the hours staff are paid to work each day, for each facility, aggregated by staff reporting category. 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	2022-05-23	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	2022-02-28	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	2021-10-05	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	2021-07-08	2023-08-29
2017-07-01 – 2017-09-30	2021-07-08	2023-08-29
2017-04-01 – 2017-06-30	2021-07-08	2023-08-29
2017-01-01 – 2017-03-31	2021-07-08	2023-08-29

Data dictionary

📋 37 data columns + 6 lineage columns

Column-level definitions are maintained by CMS in the official Payroll Based Journal Daily 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_RNDON	NUMBER
HRS_RNDON_EMP	NUMBER
HRS_RNDON_CTR	NUMBER
HRS_RNADMIN	NUMBER
HRS_RNADMIN_EMP	NUMBER
HRS_RNADMIN_CTR	NUMBER
HRS_RN	NUMBER
HRS_RN_EMP	NUMBER
HRS_RN_CTR	NUMBER
HRS_LPNADMIN	NUMBER
HRS_LPNADMIN_EMP	NUMBER
HRS_LPNADMIN_CTR	NUMBER
HRS_LPN	NUMBER
HRS_LPN_EMP	NUMBER
HRS_LPN_CTR	NUMBER
HRS_CNA	NUMBER
HRS_CNA_EMP	NUMBER
HRS_CNA_CTR	NUMBER
HRS_NATRN	NUMBER
HRS_NATRN_EMP	NUMBER
HRS_NATRN_CTR	NUMBER
HRS_MEDAIDE	NUMBER
HRS_MEDAIDE_EMP	NUMBER
HRS_MEDAIDE_CTR	NUMBER
HRS_RN_DONADMIN	NUMBER
HRS_LPN_ADMIN	NUMBER
HRS_NA_TRN	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:

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

SELECT d.PROVNUM, d.PROVNAME, d.CITY,
       ff.TEMPORAL_START, ff.TEMPORAL_END, ff.CMS_FEED_MODIFIED
FROM DWV.PAYROLL_BASED_JOURNAL_DAILY_NURSE_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

• Payroll Based Journal Methodology 0

Frequently asked questions

How often is Payroll Based Journal Daily 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 Nurse Staffing cover?

2017 through 2025.

How many records are in Payroll Based Journal Daily Nurse Staffing?

49,021,227 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 Nurse Staffing 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.PAYROLL_BASED_JOURNAL_DAILY_NURSE_STAFFING directly — no pipeline setup required.

Related feeds

Medicare Post-Acute Care Utilization - Skilled Nursing FacilitySkilled Nursing Facility Cost ReportMedicare Post-Acute Care Utilization - Skilled Nursing Facility by Geography/Provider and Case-Mix GroupingPayroll Based Journal Employee Detail Nursing Home StaffingMedicare Post-Acute Care Utilization - Skilled Nursing Facility by Geography, Provider and Service

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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