What’s a Normal RBT Turnover Rate (and How to Beat It)

Ask ten ABA clinic owners what their RBT turnover rate is, and most will guess. Guessing is not a strategy. If you want to fix a problem, you need the real number first.

How to calculate your RBT turnover rate

The formula is simple. Take the number of RBTs who left in the past 12 months. Divide it by your average number of RBT positions over that same period. Multiply by 100.

If you had 20 RBT positions on average and 6 people left over the year, your turnover rate is 30 percent. Run this calculation every quarter, not just once a year, so you catch a bad trend before it becomes a full year of damage.

Decide upfront whether you are counting voluntary departures only or every departure, including terminations. Most benchmarks you will find online refer to voluntary turnover. Mixing the two into one number makes it harder to compare your clinic honestly against the industry figures you are reading.

Keep the calculation itself simple and repeatable. Store it in the same spreadsheet every quarter, with the same formula, so you are never re-deriving the method from scratch or second-guessing whether last quarter’s number was calculated the same way.

What counts as normal in ABA

ABA has one of the higher turnover rates in healthcare. Industry estimates commonly put annual RBT turnover somewhere between 25 and 50 percent, depending on the source and the region.

That range is wide because ABA clinics vary enormously in how they manage pay, workload, and support. A clinic sitting at 25 percent is doing meaningfully better than one at 50 percent, even though both technically fall inside the range people quote.

Do not treat the high end of that range as acceptable just because it is common. Common and healthy are not the same thing.

Regional labor markets shift these numbers too. A clinic in a market with three competing ABA providers within a five mile radius will likely run higher turnover than a clinic in a market with little competition for RBT talent, regardless of how well either one treats its staff. Compare yourself to a local benchmark when you can find one, not just a national average.

If you cannot find a solid local benchmark, ask around. Owners in non-competing markets, through a state ABA association or an online owner group, will often share their real numbers if you share yours first. That kind of informal exchange is often more useful than a national survey with a small sample size.

Even a rough local comparison beats guessing blind. Two or three data points from clinics similar to yours in size and setting give you a far more useful reference than a single national range pulled from a report that may not reflect ABA specifically.

Why the industry average is misleading

A single overall number can hide what is actually going wrong. Two clinics can both report 35 percent turnover and have completely different problems.

One clinic might be losing new hires in their first 90 days, a sign of a broken onboarding process. Another might be losing three-year veterans to burnout, a sign of a deeper culture problem. The overall percentage looks identical. The fix is not.

A third clinic might show the same 35 percent while losing mostly part-time staff who were always going to move on after a semester or two. That kind of turnover is far less costly than losing trained, full-time RBTs, even though it counts the same in the raw calculation.

Tracking turnover by tenure, not just overall

Break your turnover number down by how long the RBT had been with you. Under 90 days. Three months to one year. Over one year.

This breakdown tells you where to focus. High early turnover points to onboarding and initial support. High turnover among your one-plus-year staff points to pay, growth opportunity, or workload problems among people who already know the job well.

Most clinics only track the single overall number. The breakdown is where the useful information actually lives.

Keep the breakdown simple enough that you will actually update it. A basic spreadsheet with a row per departure, tagged by tenure bucket and a short reason, takes less than five minutes to update each time someone leaves. That small habit, kept up for a year, gives you a real picture instead of a guess.

What to do with the number once you have it

A turnover number by itself does not fix anything. Use it to set a real target and track progress against it, then pair it with real retention strategies so the number actually moves. The RBT Retention Playbook turns these benchmarks into a scorecard you can track every quarter.

If you are at 40 percent, do not aim to hit 15 percent in one quarter. Aim for a realistic drop, maybe to 32 percent over two quarters, then keep pushing from there. Recalculate every quarter and put the number somewhere your leadership team actually looks at, not buried in a spreadsheet nobody opens.

Clinics that track this number consistently make better staffing decisions than clinics that only think about turnover after losing someone they really did not want to lose. Once you know your real number, you can also project it forward. A 30 percent turnover rate on a 20-person RBT team means planning for roughly 6 replacement hires a year, whether or not any single departure feels like a surprise when it happens.

Frequently asked questions

What is a normal RBT turnover rate?

Industry estimates put annual RBT turnover between 25 and 50 percent. A clinic at 25 percent is doing meaningfully better than one at 50. Do not treat the high end as acceptable just because it is common.

How do I calculate RBT turnover rate?

Divide the number of RBTs who left in the past 12 months by your average number of RBT positions over that period, then multiply by 100. Run it every quarter, not once a year.

Should I count terminations in turnover?

Decide upfront and stay consistent. Most published benchmarks measure voluntary turnover only. Mixing voluntary and involuntary departures makes it harder to compare your clinic honestly.

Why track turnover by tenure?

An overall number hides the real problem. Losing new hires under 90 days points to onboarding. Losing one-year veterans points to pay, growth, or workload. The fix depends on which.