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indicator

Occupancy Rate

Occupancy Rate

Description

Nursing Homes Are an Important Part of the Long-Term Care System, 2024 (Occupancy Rate)

Data Source

Nursing Homes Including Rehab Services (NHIRS)

Nursing Home Quality Ratings
Nursing Home Capacity
Staffing Levels And Turnover
Health And Fire Safety Inspections
Quality Measures (Mds And Claims-Based)
Ownership And Certification
Penalties And Enforcement
Snf Quality Reporting And Value-Based Purchasing
Urban/Rural Distribution

Calculation Methodology

  1. 1
    From the CMS Provider Information dataset, read monthly provider information files and extract the state column (State), the average residents column (Average Number of Residents per Day), and the certified beds column (Number of Certified Beds) for each facility record. Exclude records where state is AS, GU, MP, PR, or VI. Coerce capacity columns to numeric, treating non-parseable entries as missing.
  2. 2
    Sum total average residents per day and total certified beds by state for each month.
  3. 3
    Calculate the yearly mean of monthly totals per state to produce annualized sums.
  4. 4
    Compute the occupancy rate for each state by dividing the annualized average residents per day by the annualized certified beds.

Source Variables using this Indicator (3)

Visuals Using This Indicator (1)

Visual for Indicator Occupancy Rate for 2024

Nursing Homes Are an Important Part of the Long-Term Care System, 2024 (Occupancy Rate)

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Why This Matters

Transparent methodology ensures every insight can be traced, verified, and built upon.

Reproducible Research

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Accountability

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Continuous Improvement

Transparent documentation allows for peer review, feedback, and iterative improvements to our analytical approaches.