Walk into almost any skilled nursing facility and ask which role has the most turnover, and the answer is never in question: it’s the CNAs. Administrators know it, directors of nursing know it, and the data confirms it year after year. The national workforce report published jointly by LeadingAge and AHCA/NCAL, drawing on payroll and HR data from hundreds of nursing homes nationally, has repeatedly found CNA turnover running meaningfully higher than every other staffing category in the building, including RNs, LPNs, dietary staff, and administrative support. Understanding why that gap exists, and what actually narrows it, matters more than reciting the statistic, because the reasons are fixable in ways that many facilities haven’t fully tried yet.
The Numbers Behind the Reputation
According to the most recent LeadingAge and AHCA/NCAL national nursing home salary and benefits report, based on data from close to a thousand facilities and well over a hundred thousand employees, the CNA turnover rate came in just above 42% in the most recent reporting period, actually a modest improvement from the previous year’s figure above 44%, but still dramatically higher than the turnover rates reported for registered nurses and licensed practical nurses in the same survey, both of which came in in the mid-30% range. Every other staffing category in the building, from dietary and environmental services to administrative support, also reported meaningfully lower turnover than CNAs. That gap has held up across multiple years of this same national survey, which tells you the CNA turnover problem isn’t a temporary blip tied to a single bad labor market year, it’s structural.
It’s worth being precise here rather than reaching for a bigger, scarier number: turnover figures like these vary by source, methodology, and year, and any specific number should be treated as a benchmark and a trend indicator rather than a universal constant that applies identically to every facility. What’s consistent across virtually every credible industry data source, though, is the relative pattern: CNAs turn over meaningfully faster than every other role category in a skilled nursing building, and that gap is wide enough to be a genuine structural feature of the industry rather than statistical noise.
Why Turnover Numbers Vary So Dramatically Depending on How You Count
It’s worth pausing on why different sources can report such different CNA turnover figures, because the discrepancy itself is instructive. The LeadingAge and AHCA/NCAL survey figure cited above comes from self-reported HR and payroll data, generally calculated as headcount turnover over a defined period. A separate and widely cited analysis published in Health Affairs took a different approach entirely, using the federal Payroll-Based Journal system, the same daily staffing data facilities are required to submit to CMS, to calculate turnover based on gaps in an individual worker’s daily reported hours. That methodology produced a dramatically higher figure: average annual CNA turnover above 129 percent, with registered nurse turnover measured even higher, well above 140 percent, using the same PBJ-based approach.
Neither number is wrong, they’re measuring related but distinct things. The PBJ-based method captures every gap in reported hours, including short-term absences, per-diem and part-time staff cycling in and out, and workers who leave one facility but stay in the broader long-term care workforce, which produces a much larger figure than a straightforward annual headcount calculation. The practical takeaway for a facility administrator isn’t to pick whichever number sounds better, it’s to understand that the true scale of CNA churn, however you slice it, is enormous compared to almost any other frontline hourly role, and that even the more conservative self-reported figures still put CNA turnover well above every other job category in the building.
The Wage Gap Behind the Turnover Gap
Compensation deserves a harder look than a general statement that CNA pay is “modest” relative to the job’s demands. Federal wage data from the Bureau of Labor Statistics puts the national median hourly wage for nursing assistants at $18.85, with an annual median of roughly $39,200, figures that sit closer to entry-level retail, warehouse, and food service pay than to the hands-on clinical responsibility, infection control training, and physical demands the CNA role actually requires. The bottom tenth of the wage distribution nationally sits under $14 an hour, disproportionately concentrated in lower-reimbursement rural markets, exactly the facilities that also tend to report some of the hardest time filling and keeping CNA positions.
That wage reality sets a hard ceiling on how much any single facility can differentiate itself on pay alone, particularly in states where Medicaid reimbursement rates constrain how much of a facility’s revenue can flow into direct care wages in the first place. It’s also why the interventions this piece emphasizes, hiring quality, expectation-setting, scheduling stability, and career growth visibility, matter so much: they’re the levers a facility actually controls day to day, in a labor market where the wage lever is often constrained by forces well outside any single administrator’s control.
Why CNAs Specifically Turn Over So Much Faster
A few factors compound to make the CNA role unusually turnover-prone compared to other positions in the same building. Compensation relative to the physical and emotional demands of the job is the most obvious: CNAs perform some of the most physically demanding work in the facility, repetitive lifting, transferring, and repositioning of residents, often at a pace and volume that takes a real physical toll over time, and national CNA hourly wages, while they’ve risen somewhat in recent years, still sit closer to entry-level retail and food service pay than the clinical responsibility of the role would suggest to an outside observer.
Scheduling instability compounds the compensation issue. CNAs are disproportionately exposed to mandatory overtime, last-minute schedule changes to cover a call-out, and rotating shift patterns that make it hard to build a stable personal life or hold a second job, which a meaningful share of CNAs need given the wage level. A role that’s simultaneously physically demanding, modestly compensated, and unpredictable in its schedule creates a combination that other roles in the building, RNs and LPNs included, typically don’t face to the same degree, since licensed nursing roles generally come with somewhat higher pay and, in many facilities, somewhat more schedule predictability.
The lack of a clear career ladder is a subtler but real factor. A CNA role can feel like a dead end if a facility doesn’t actively build and communicate pathways toward LPN or RN training, specialty certifications, or lead CNA and mentor positions that carry a bit more pay and responsibility. Without a visible next step, some capable CNAs conclude, reasonably, that leaving for a different employer or a different industry entirely is the only way to grow their income and responsibility over time. State-level and employer-level programs that build a real bridge from CNA to LPN, some covering tuition outright and others providing a living-cost stipend during training in exchange for a post-graduation employment commitment, exist precisely because this dead-end perception is one of the more solvable drivers of long-tenured CNAs eventually walking away, not for a competing CNA job, but out of the role entirely.
Turnover Concentrated by Shift and Tenure, Not Spread Evenly
A detail that gets lost when turnover is reported as a single annual percentage is that it’s rarely distributed evenly across a facility’s CNA workforce. Night shift and weekend coverage, the hardest slots to staff and often the ones with the thinnest supervisory support on hand, tend to show disproportionately higher attrition than well-supported day shifts on the same unit. New hires in their first ninety days, as this piece has already emphasized, account for a disproportionate share of total departures compared to CNAs with a year or more of tenure, whose turnover rate looks much closer to other staffing categories in the building once they’ve cleared that early window. Treating turnover as a single flat number obscures both of these patterns, and obscuring them makes it much harder to target an intervention where it will actually do the most good.
The Hiring Connection Most Facilities Underweight
Here’s the piece that often gets separated from the turnover conversation but shouldn’t be: a meaningful share of CNA turnover is actually a hiring quality problem wearing a retention costume. A candidate who was rushed through a thin, inconsistent screening process, hired primarily because a shift needed covering rather than because there was a genuine fit assessment, arrives already more likely to leave early, regardless of what the facility does with onboarding or culture afterward. Turnover data that only looks at overall CNA attrition without breaking out how much of it happens in the first thirty, sixty, or ninety days is missing the fact that a lot of “turnover” is really “hiring mismatch,” and those two problems call for different solutions.
Facilities that have dug into their own data on this point often find something uncomfortable: a disproportionate share of total CNA turnover is concentrated in employees who left within their first three months, which points squarely back at the hiring and onboarding process rather than at some intractable feature of long-term care work itself. That reframing matters because it means a meaningful chunk of the turnover problem is actually solvable through better recruiting practices, not just through pay raises or culture initiatives that take years to show results.
What Actually Moves the Needle
Given all of this, a handful of interventions consistently show up in facilities that have made real, sustained progress on CNA turnover, and they cluster around hiring quality, communication, and growth pathways rather than any single silver-bullet fix. Structured, consistent screening that sets realistic expectations about shift demands, pace, and unit acuity before an offer is extended reduces the volume of early mismatches that show up as first-quarter turnover. Screening that’s available in the languages your local CNA labor market actually speaks removes a communication barrier that otherwise disadvantages qualified candidates before they even get a fair evaluation; given how sizable the foreign-born share of the national CNA workforce has become according to research published in Health Affairs, this isn’t a marginal consideration for most facilities, it’s a mainstream one.
Consistent, low-friction communication throughout onboarding, confirming shift details, answering logistics questions, checking in after the first shift, closes the gap where a newly hired CNA quietly disengages simply because nobody followed up. Career pathway visibility, even something as simple as a clear, communicated track toward LPN tuition support or a lead CNA role after a defined tenure milestone, gives capable CNAs a reason to see the job as a starting point rather than a placeholder. And scheduling stability, protecting CNAs from constant last-minute schedule disruption wherever operationally possible, addresses one of the more concrete, controllable drivers of the burnout that eventually shows up as a resignation.
Where Technology Actually Fits Into the Retention Fight
None of the interventions above require exotic technology to execute, but a few of them become dramatically easier to sustain at scale with the right tools. Consistent, structured screening that includes multilingual capability and sets realistic expectations is hard to guarantee across every hiring manager and every shift if it depends entirely on individual interviewer discipline; it becomes far more reliable when the screening itself is standardized and automated. Every candidate getting the same structured interview, scored consistently against the same criteria regardless of which manager happens to be reviewing applications that week, is exactly the kind of consistency an AI Recruiter delivers, screening every applicant the moment they apply and handing hiring managers a scored summary rather than leaving screening quality to whoever happens to be free to take the call. Underneath, it’s one platform built from two AI products: the AI Recruiter that phone-screens applicants immediately after they apply, and the AI ATS that chats with candidates, books interviews through its own built-in scheduler, and captures candidate data automatically as they move through the pipeline. The same applies to onboarding communication: automated SMS check-ins confirming shift logistics and following up after a first shift don’t depend on a busy hiring manager remembering to send them manually, which is exactly the kind of consistency that’s hard to sustain through willpower alone across a busy, turnover-prone department.
One HappyFleet customer running a skilled nursing facility has said that shifting CNA screening to the AI Recruiter surfaced a pattern they hadn’t noticed before, candidates who asked detailed questions about shift pace and unit acuity during the automated screening turned out to be meaningfully more likely to still be on staff ninety days later, essentially validating that the expectation-setting conversation itself was doing real retention work, not just filling a scheduling requirement. That’s a useful illustration of how better hiring practices and better retention outcomes aren’t separate initiatives, they’re the same initiative viewed from two different points in the employee lifecycle.
Measuring Whether Your Interventions Are Actually Working
Facilities serious about narrowing their CNA turnover gap should track a few specific numbers over time rather than watching only the aggregate annual turnover figure. Turnover broken out by tenure cohort, first thirty days, first ninety days, first year, tells you where in the employee lifecycle your losses are concentrated and therefore which interventions deserve the most attention. Turnover by source of hire, comparing candidates who came through a rigorous structured screening process against those hired through a faster, less structured path, can validate whether your screening investment is actually paying off in retention terms. And turnover by shift and unit can reveal whether specific scheduling patterns or specific unit cultures are disproportionately driving attrition, pointing toward operational fixes that a purely hiring-focused strategy would miss.
The Bottom Line
CNA turnover sits at the top of the list in every skilled nursing facility for reasons that are structural, physical demands, modest pay, schedule unpredictability, and thin career pathways, but a meaningful portion of that turnover is also a fixable hiring quality problem hiding inside a bigger structural one. Facilities that treat hiring and retention as the same continuous effort, screening consistently, setting realistic expectations, communicating reliably through onboarding, and building visible growth pathways, consistently see their CNA turnover numbers move in the right direction, even before any of the harder structural issues around pay and staffing ratios get resolved. The CNA turnover rate isn’t destiny, it’s a reflection of process, and process is something every facility has the ability to change.
None of that means the structural pressures, wages that lag the physical demands of the job, thin state Medicaid reimbursement, a national shortage of working-age direct care workers, will disappear because a facility improved its screening process. What it means is that a facility stops spending its limited energy and budget fighting battles it can’t fully control while ignoring the ones it can. A facility that gets serious about hiring quality, expectation-setting, and career pathway visibility is, in effect, buying itself room to work on the harder structural problems from a more stable staffing base, rather than trying to fix everything at once while still losing four in ten CNAs a year to a process problem that was always within reach to fix.
Fix the Hiring Process, Fix a Chunk of Your Turnover Problem
Consistent, realistic screening from day one is one of the most overlooked levers for bringing your CNA turnover rate down. After the screen, the AI ATS keeps things moving on its own — chatting with candidates, scheduling interviews via the built-in scheduler, and capturing candidate data automatically — so the full pipeline runs hands-free, start to finish. Try it free for 7 days, no credit card required.
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