Nurse staffing · CMS certification number 056443
GEORGE L MEE MEMORIAL HOSPITAL D/P SNF
KING CITY, California
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018Q4 | 31 December 2018 | 92 | 1,263 | 1,026.58 | 3,136.52 | 6,512 | 10,675.1 | 0.812811 | 2.483389 | 5.155978 | 8.452177 | 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 |
| 2022Q3 | 30 September 2022 | 92 | 2,845 | 3,089.62 | 2,426.89 | 9,035.5 | 14,552.01 | 1.085982 | 0.853037 | 3.175923 | 5.114942 | 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 | 31 December 2022 | 92 | 2,782 | 3,524.64 | 2,389.89 | 8,723.35 | 14,637.88 | 1.266945 | 0.859055 | 3.13564 | 5.261639 | 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 | 31 March 2023 | 90 | 2,847 | 3,774.89 | 2,111.81 | 9,138.53 | 15,025.23 | 1.325919 | 0.741767 | 3.209881 | 5.277566 | 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 | 30 June 2023 | 91 | 3,082 | 4,045.78 | 1,895.97 | 9,556.36 | 15,498.11 | 1.312713 | 0.615175 | 3.100701 | 5.028589 | 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 | 30 September 2023 | 92 | 2,953 | 3,625.04 | 1,511.66 | 8,943.92 | 14,080.62 | 1.227579 | 0.511907 | 3.028757 | 4.768242 | 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 | 31 December 2023 | 92 | 2,768 | 3,785.34 | 1,957.57 | 9,306.74 | 15,049.65 | 1.367536 | 0.707215 | 3.362262 | 5.437012 | 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 | 31 March 2024 | 91 | 2,775 | 4,099 | 1,573.89 | 10,060.48 | 15,733.37 | 1.477117 | 0.567168 | 3.625398 | 5.669683 | 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 | 30 June 2024 | 91 | 2,964 | 4,282.23 | 1,289.26 | 9,691.07 | 15,262.56 | 1.444747 | 0.434973 | 3.269592 | 5.149312 | 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 | 30 September 2024 | 92 | 3,045 | 4,225.47 | 1,862.81 | 9,990.12 | 16,078.4 | 1.387675 | 0.61176 | 3.280828 | 5.280263 | 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 | 31 December 2024 | 92 | 3,099 | 4,312.41 | 1,512 | 10,208.76 | 16,033.17 | 1.391549 | 0.487899 | 3.294211 | 5.173659 | 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 | 30 June 2025 | 91 | 3,335 | 4,411.61 | 2,849.77 | 10,748.49 | 18,009.87 | 1.322822 | 0.854504 | 3.222936 | 5.400261 | 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 | 30 September 2025 | 92 | 3,780 | 4,349.9 | 2,714.77 | 11,112.28 | 18,176.95 | 1.150767 | 0.718193 | 2.939757 | 4.808717 | 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 | 31 December 2025 | 92 | 3,815 | 4,170.88 | 2,855.97 | 11,923.81 | 18,950.66 | 1.093284 | 0.748616 | 3.125507 | 4.967408 | 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 | 31 March 2026 | 90 | 3,578 | 4,142.84 | 2,631.9 | 12,456.41 | 19,231.15 | 1.157865 | 0.735579 | 3.481389 | 5.374832 | 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 056443 and the quarter.