Nurse staffing · CMS certification number 146049

IROQUOIS RESIDENT HOME, THE

Name: Nurse staffing by quarter — IROQUOIS RESIDENT HOME, THE (CCN 146049)
Creator: Velarion Records
License: https://www.cms.gov/about-cms/information-systems/privacy/privacy-policy

WATSEKA, Illinois

Hours reported to CMS’s Payroll-Based Journal, one row per quarter, oldest first. The facility’s full record →

Quarter by quarter

Quarter	Quarter ended	Days reported	Resident days	Registered nurse hours	Licensed practical nurse hours	Nurse aide hours	Total nurse hours	Registered nurse hours per resident day	Licensed practical nurse hours per resident day	Nurse aide hours per resident day	Total nurse hours per resident day	How it is derived, and the file
2017Q1	March 31, 2017	90	2,861	1,482.14	3,201.51	5,437.5	10,121.15	0.51805	1.119018	1.900559	3.537627	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2017-03-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. This file names the totals hrs_rn_donadmin, hrs_lpn_admin, hrs_na_trn; they are read as hrs_rndon, hrs_lpnadmin, hrs_natrn. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2017-03-31.csv`
2018Q1	March 31, 2018	90	3,009	2,176.25	1,953.25	6,695.98	10,825.48	0.723247	0.649136	2.225317	3.5977	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-03-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-03-31.csv`
2018Q2	June 30, 2018	91	2,749	2,835.22	1,739.75	7,284.25	11,859.22	1.031364	0.632866	2.649782	4.314012	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-06-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-06-30.csv`
2018Q3	September 30, 2018	92	2,411	2,390	2,202.5	6,426	11,018.5	0.99129	0.913521	2.665284	4.570095	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-09-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-09-30.csv`
2018Q4	December 31, 2018	92	2,666	1,754.25	2,757.75	6,783	11,295	0.658008	1.034415	2.544261	4.236684	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-12-13.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2018-12-13.csv`
2019Q1	March 31, 2019	90	2,898	1,793.25	2,533.75	7,569.32	11,896.32	0.618789	0.87431	2.611912	4.10501	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-03-13.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-03-13.csv`
2019Q2	June 30, 2019	91	2,412	2,385	1,855.25	7,384.5	11,624.75	0.988806	0.769175	3.061567	4.819548	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-06-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-06-30.csv`
2019Q3	September 30, 2019	92	2,746	1,970	2,272.25	6,966.75	11,209	0.717407	0.827476	2.537054	4.081937	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-09-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-09-30.csv`
2019Q4	December 31, 2019	92	2,623	1,976.75	2,405	6,096	10,477.75	0.753622	0.916889	2.324056	3.994567	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-12-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2019-12-31.csv`
2020Q1	March 31, 2020	91	2,960	2,146.75	1,920.25	6,197	10,264	0.725253	0.648733	2.093581	3.467568	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-03-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-03-31.csv`
2020Q2	June 30, 2020	91	2,885	1,881	2,267	6,047.5	10,195.5	0.651993	0.785789	2.096187	3.533969	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-06-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-06-30.csv`
2020Q3	September 30, 2020	92	2,565	2,047.25	2,140	6,579.25	10,766.5	0.798148	0.834308	2.56501	4.197466	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-09-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-09-30.csv`
2020Q4	December 31, 2020	92	2,537	2,142.5	1,803.25	7,192.75	11,138.5	0.844501	0.71078	2.83514	4.390422	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-12-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2020-12-31.csv`
2021Q1	March 31, 2021	90	2,577	2,121.75	1,866	6,276	10,263.75	0.823341	0.724098	2.43539	3.982829	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-03-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-03-31.csv`
2021Q2	June 30, 2021	91	2,782	2,222.25	1,923.5	6,295.75	10,441.5	0.798796	0.691409	2.26303	3.753235	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-06-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-06-30.csv`
2021Q3	September 30, 2021	92	2,765	2,493.5	1,775.75	5,948	10,217.25	0.901808	0.642224	2.151175	3.695208	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-09-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-09-30.csv`
2021Q4	December 31, 2021	92	2,833	1,873.75	2,081.25	5,840	9,795	0.661401	0.734645	2.061419	3.457466	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-12-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. The file's `incomplete` column flags 0 of this facility's days as 1; those days are included as filed. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2021-12-31.csv`
2022Q1	March 31, 2022	90	2,569	2,108.57	2,407.5	5,498.75	10,014.82	0.820775	0.937135	2.140424	3.898334	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-01-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-01-01.csv`
2022Q2	June 30, 2022	91	2,767	2,123.25	2,627	6,947.75	11,698	0.767347	0.949404	2.510932	4.227683	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-06-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-06-30.csv`
2022Q3	September 30, 2022	92	2,741	2,334.5	2,181.5	6,542	11,058	0.851696	0.795877	2.38672	4.034294	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-09-30.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-09-30.csv`
2022Q4	December 31, 2022	92	2,619	2,672	1,853	6,316.55	10,841.55	1.020237	0.707522	2.411817	4.139576	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-12-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2022-12-31.csv`
2023Q1	March 31, 2023	90	2,542	2,786.25	1,497	6,531.1	10,814.35	1.096086	0.588906	2.569276	4.254268	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-01-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-01-01.csv`
2023Q2	June 30, 2023	91	2,644	2,724.75	1,508.5	7,197.75	11,431	1.030541	0.570537	2.722296	4.323374	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-06-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-06-01.csv`
2023Q3	September 30, 2023	92	2,481	2,902.94	1,069.78	7,276	11,248.72	1.170069	0.431189	2.932688	4.533946	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-09-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-09-01.csv`
2023Q4	December 31, 2023	92	2,872	2,606.59	883.51	7,214.25	10,704.35	0.907587	0.307629	2.511925	3.727141	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-12-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2023-12-01.csv`
2024Q1	March 31, 2024	91	2,641	1,911.51	916.06	6,799	9,626.57	0.723783	0.346861	2.574404	3.645047	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-01-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-01-01.csv`
2024Q2	June 30, 2024	91	2,581	1,763.35	955.36	5,694.72	8,413.43	0.683204	0.370151	2.206401	3.259756	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-04-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-04-01.csv`
2024Q3	September 30, 2024	92	2,305	664.77	54.16	728.67	1,447.6	0.288403	0.023497	0.316126	0.628026	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-09-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-09-01.csv`
2024Q4	December 31, 2024	92	2,052	1,966.75	1,232.1	5,712.99	8,911.84	0.958455	0.600439	2.784108	4.343002	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-12-31.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2024-12-31.csv`
2025Q2	June 30, 2025	91	2,273	1,288.64	1,447.36	5,738.59	8,474.59	0.566934	0.636762	2.524677	3.728372	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2025-04-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2025-04-01.csv`
2025Q3	September 30, 2025	92	2,679	2,107.01	1,719.97	6,575.19	10,402.17	0.786491	0.642019	2.454345	3.882856	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2025-07-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2025-07-01.csv`
2025Q4	December 31, 2025	92	2,978	3,227.17	1,137.57	8,235.43	12,600.17	1.08367	0.381991	2.765423	4.231085	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2025-10-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2025-10-01.csv`
2026Q1	March 31, 2026	90	3,007	2,608.45	1,388.68	8,126.11	12,123.24	0.867459	0.461816	2.702398	4.031673	From CMS file Payroll_Based_Journal_Daily_Nurse_Staffing_:_2026-01-01.csv: days_reported = distinct WorkDate rows for this PROVNUM and CY_Qtr; resident_days = sum of MDScensus over those days; hours = each Hrs_* column summed over those days; rn_hours = Hrs_RNDON + Hrs_RNadmin + Hrs_RN; lpn_hours = Hrs_LPNadmin + Hrs_LPN; aide_hours = Hrs_CNA + Hrs_NAtrn + Hrs_MedAide; total_nurse_hours = rn_hours + lpn_hours + aide_hours; each *_hprd = its hours / resident_days, rounded to 6 decimal places, null when resident_days is 0. `Payroll_Based_Journal_Daily_Nurse_Staffing_:_2026-01-01.csv`

Every figure on this page is printed as it was banked from the Payroll-Based Journal file named on its row. A figure that does not match its file? Tell us on the corrections page, quoting certification number 146049 and the quarter.