Workforce intelligence · Assisted living & care benchmarks
Assisted living & care workforce benchmarks operators are actually measured on
Most assisted living & care workforce reporting fails on definition, not on data. Two communities can report the same turnover rate and mean different things. This page fixes the definitions, sets the reporting cadence, and shows which benchmark each audience actually asks for.
Updated August 5, 2026 · Methodology
Direct answer
Assisted living & care operators should track annualized turnover by role, 90-day new-hire survival, agency hour share, overtime density, primary-caregiver continuity, and open-shift fill lead time. Each needs a written definition — numerator, denominator, and period — before it is comparable across communities, regions, or an owner's portfolio.
Benchmark definitions and who asks for them
| Benchmark | Definition to standardize on | Cadence | Primary audience |
|---|---|---|---|
| Annualized turnover by role | Separations in period divided by average headcount in period, annualized; voluntary and involuntary reported separately | Monthly | Operations leadership, owner |
| 90-day new-hire survival | Hires still active at day ninety divided by hires in the cohort | Monthly cohort | Executive director, talent |
| Agency hour share | Contract hours divided by total worked hours, by unit and shift | Per pay period | CFO, owner, lender |
| Overtime density | Overtime hours divided by total worked hours; premium pay reported alongside | Per pay period | CFO, scheduler |
| Primary-caregiver continuity | Share of resident care days delivered by the assigned primary caregiver | Monthly | Clinical leadership, families |
| Open-shift fill lead time | Median hours from shift posted to shift filled, by fill source | Rolling 30 days | Scheduler, operations |
| Labor cost per occupied unit | Total reconciled labor cost divided by occupied units | Monthly | CFO, owner, lender |
| Care minutes delivered vs. planned | Acuity-weighted care minutes delivered divided by planned minutes | Weekly | Clinical leadership, regulator-facing review |
Definitions are the deliverable. Publish the numerator, denominator, and period alongside every number, or cross-community comparison is not meaningful.
Implementation requirements
- A written metric dictionary
- One definition per benchmark, versioned, with the numerator, denominator, period, and inclusion rules for PRN, agency, and leave status.
- Consistent role taxonomy across communities
- Caregiver, med tech, CNA, LPN, RN, dietary, housekeeping, and management mapped identically in every community, including acquired ones.
- Reconciled scheduling and payroll feeds
- Worked hours reconciled to paid hours before any share metric is published, so agency share and overtime density are computed on the same denominator.
- Assignment data for continuity
- Resident-to-caregiver assignment history. Without it, primary-caregiver continuity cannot be computed and is often replaced by a proxy that flatters the number.
- Acuity or care-minute plan
- Planned acuity-weighted care minutes per resident so delivered-versus-planned is a real ratio rather than a staffing-ratio restatement.
- A single publishing owner
- One owner who publishes the benchmark pack on a fixed cadence. Multiple publishers produce multiple versions of the same metric, which is how board packs lose credibility.
Measurable outcomes
| Metric | How it is defined | Measurement window |
|---|---|---|
| Definition coverage | Share of published benchmarks with a versioned written definition attached. | Quarterly |
| Cross-community comparability | Share of communities reporting on the standardized role taxonomy and metric dictionary. | Quarterly |
| Reconciliation exceptions | Worked-to-paid hour mismatches outstanding at publish time. | Per pay period |
| Benchmark publish latency | Days from period close to publication of the benchmark pack. | Monthly |
| Continuity computed vs. proxied | Share of communities where primary-caregiver continuity is computed from assignment data rather than estimated. | Quarterly |
Capabilities described here are built on synthetic data and not running in operator production. They are not accompanied by published operator-production outcome data, and no payback period or savings figure is claimed. Cost ranges shown are published industry ranges used to size exposure and to model a case from your own history.
From benchmarks to action
A benchmark pack shows where the exposure sits. Route early-tenure attrition to turnover prediction, premium-hour hotspots to agency labor reduction, and forward cost exposure to payroll forecasting. The assisted living & care turnover deep dive covers the AL & care-specific intervention set.
The benchmark set, state by state
States ranked by the share of reporting providers below the 0.55 RN HPRD federal minimum — the hardest role to fill internally. Published values from the CMS Care Compare provider file (Jul 2026 refresh), which reports staffing hours derived from Payroll-Based Journal submissions. Not a SeniorCRE measurement and not a benchmark of our results. Open the source dataset.
| State | Providers below 0.55 RN HPRD | Median total / RN HPRD | Reported census | Modeled exposure / bed / yr |
|---|---|---|---|---|
| Louisiana | 96% | 3.62 / 0.25 | 74% | $601 – $1,502 |
| Oklahoma | 91% | 3.67 / 0.32 | 63% | $518 – $1,296 |
| Arkansas | 84% | 3.92 / 0.39 | 70% | $620 – $1,549 |
| Texas | 81% | 3.27 / 0.38 | 67% | $489 – $1,222 |
| Missouri | 76% | 3.36 / 0.39 | 71% | $536 – $1,339 |
| Georgia | 65% | 3.44 / 0.45 | 80% | $622 – $1,555 |
| California | 58% | 4.24 / 0.49 | 88% | $842 – $2,104 |
| North Carolina | 57% | 3.53 / 0.50 | 83% | $656 – $1,639 |
| South Carolina | 55% | 3.55 / 0.52 | 87% | $698 – $1,744 |
| Tennessee | 53% | 3.64 / 0.54 | 74% | $602 – $1,506 |
| Virginia | 52% | 3.45 / 0.54 | 88% | $682 – $1,705 |
| New Jersey | 50% | 3.60 / 0.55 | 83% | $675 – $1,688 |
| National | 45% | 3.68 / 0.58 | 80% | — |
Exposure figures are modeled, not measured: the published formula with each state’s own median total staffing hours and reported census substituted for the national assumption. They describe the size of contract-labor exposure a portfolio is carrying under public-source assumptions — not savings SeniorCRE has produced, promised, or verified. See the method, the inputs, and its limits.
Frequently asked questions
What is a good assisted living & care caregiver turnover rate?
Published industry turnover figures for assisted living & care caregivers vary widely because definitions vary, so a single target number is not useful on its own. The comparison that matters is your own trend against a frozen baseline on a fixed definition, segmented by role, shift, and tenure band.
Why does 90-day survival matter more than annual turnover?
Because most assisted living & care separations cluster early in tenure. Annual turnover reports the outcome long after the intervention window closed; the ninety-day cohort view shows onboarding, scheduling, and mentor-pairing effects while they are still actionable.
Does SeniorCRE publish benchmark values for these metrics?
SeniorCRE publishes definitions, cadence, and computation method. Where an industry range is cited, it is dated and sourced. Operator-production benchmark values from SeniorCRE deployments are not published, and no outcome figure is claimed.
How should acquired communities be folded into the benchmark pack?
Map the role taxonomy first, then reconcile worked-to-paid hours, then publish. Reporting an acquired community on its legacy taxonomy is the most common source of a portfolio benchmark that quietly stops meaning anything.
Do these benchmarks transfer to skilled nursing or home health?
Most do, with the demand signal swapped: patient days and reported hours in skilled nursing, scheduled visits and drive time in home health. Continuity and care-minute metrics need setting-specific definitions.
Continue across the workforce cluster
- Workforce analytics for senior housing & care — the pillar
- Turnover predictionFlight-risk scoring on a rolling 30/60/90-day horizon, with human-confirmed intervention playbooks and a versioned audit trail.
- Payroll forecastingA 13-week labor forecast by community, role, and shift — overtime density, PTO accrual, premium pay, and merit cycles modeled together.
- Agency labor reductionRoot-cause analytics on contract labor: which units, shifts, and vacancy patterns are generating premium hours, and which internal fills displace them.
- Retention ROI calculator and modelA defensible model for avoided turnover, avoided agency premium, and avoided overtime — built from your termination history, not a marketing benchmark.
- WRIE methodology — inputs, governance, and reviewer credentials
The owner’s language
What governed labor does to NOI, and to coverage, at one building
Labor is the largest controllable cost in the building, and it is the one an owner tests against a covenant they have already signed. So the workforce case has to land on the NOI line. Nothing below is a result we have measured — each amount is the operator’s own, taken from payroll, the schedule, agency invoices and separation history.
Line 01
Agency and premium hours above the governed plan
Ungoverned today: Scheduling, timekeeping and payroll are reconciled after the pay period, by hand, once the premium has already been spent.
Line 02
Care hours staffed against governed census
Ungoverned today: A signed deposit is counted as occupied, so hours are scheduled and paid against a bed nobody has moved into.
Line 03
Replacement cost of separations nobody saw coming
Ungoverned today: The exit signal sits in scheduling, payroll and credential data that no one reconciles into one record per employee, so the cost is recognized at the exit interview.
The three lines are the operator’s figures, not ours. What SeniorCRE supplies is the definition each line is measured on, which system holds authority for it, the reconciliation rule, and the lineage back to source — so the amount can be defended when it reaches the owner.
What that does to debt service coverage
Debt service coverage ratio = property NOI ÷ annual debt service.
Coverage is usually tested at the property, on trailing NOI, against a covenant the owner has already signed. That makes an NOI line item and a covenant test the same conversation — an amount that never reaches NOI never reaches coverage, and a definition nobody governs is where the amount goes missing.
Illustrative arithmetic on stated assumptions
One 100-unit assisted living community. Annual debt service of $1,200,000. Trailing NOI of $1,560,000, which tests at 1.30×.
If the owner’s own worksheet puts $120,000 of annual NOI on the lines above — care levels billed in period, hours staffed against governed census, occupancy read on one definition — NOI of $1,680,000 tests at 1.40×.
That is division, not evidence. The assumptions are stated so the owner can replace them; substitute the property’s own debt service and NOI and the arithmetic answers for that property instead of this one.
No email is required and nothing is gated. If the arithmetic does not clear the covenant on your own numbers, that is the answer, and we would rather you find it on your own sheet than in a briefing.
No operator runs SeniorCRE in operator production today, no third-party integration is live in operator production, and no operator outcome is claimed or independently validated. Figures above are arithmetic on the assumptions shown. Commercial terms are not published; they are provided under NDA in a written quote scoped to the portfolio.
Govern the truth before you automate the decision — and before you ask an owner to fund it.
Next: define these measures for your own portfolio
A benchmark is only comparable once both sides state the definition. Read how each measure is defined and who holds authority for it.
Authorship and independence
SeniorCRE, LLC — Written and published by SeniorCRE, LLC (clinical operations, workforce analytics, and data governance). SeniorCRE, LLC is a vendor in the category described; this page is not independently reviewed or certified by any third party or standards body.