Retail Turnover Rate: Benchmarks and How to Cut Yours
The average retail turnover rate, why federal and industry numbers disagree, what each departure really costs, and what small retailers can change first.
If you have searched this before, you have probably hit the same wall: half the pages say retail turnover is around 60 percent, and the other half cite federal labor statistics showing a rate of about 4 percent. Neither explains the other, so you are left assuming somebody is wrong. Both are right, and this guide shows which number fits your store and what a small retailer can change first.
The two numbers quote the same departures against different windows, and few of the pages that publish them say so, which is why this topic is so confusing. A store losing one person a month out of twenty staff is running a 5 percent monthly rate and a 60 percent annual rate simultaneously. Once that clicks, every benchmark on the internet becomes usable instead of contradictory.
The 60 percent figure has a second problem: it is out of date. Retail separations have fallen every year since 2021. The current federal reading puts retail trade nearer 46 percent annualized, so a store comparing itself against the older number will conclude it is doing better than it is.
The third thing missing from most of this content is that it is written for chains with an HR department. A small boutique has a different problem, a different arithmetic, and a much shorter list of things worth doing. I build the onboarding plans, training modules, and employee records this runs on at FirstHR.
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What the Retail Turnover Rate Is
The retail turnover rate is the percentage of employees who leave a retail business over a given period, measured against the average number of employees during that period. It is used to benchmark a store or chain against the industry and to size the cost of replacing people.
Two terms get used interchangeably and are worth separating. Turnover counts everyone who left. Voluntary turnover counts only those who chose to leave.
In retail, the gap between those two figures is large, because seasonal endings and terminations make up a meaningful share of separations. A store that compares its total turnover with a published voluntary figure will conclude it has a crisis it does not have.
How to Calculate It
Divide departures by average headcount and multiply by 100. The formula is straightforward, and the decisions around it are where the value is.
| Decision | Option A | Option B | What we recommend |
|---|---|---|---|
| Seasonal hires | Include them | Exclude them | Calculate both, and act on the excluding version |
| Involuntary terminations | Include | Exclude | Include in total, track separately as its own number |
| Internal transfers between stores | Count as departures | Do not count | Do not count, they are still your employees |
| Average headcount method | Start plus end, divided by two | Average of 12 monthly headcounts | The monthly average, if your headcount swings seasonally |
| Part-time staff | Count as whole people | Convert to full-time equivalents | Whole people, since each departure costs a full hiring cycle |
| Rehires who left and returned | Count each departure | Net them out | Count each departure, then track rehire rate separately |
The seasonal decision is the one that changes the answer most. A retailer that triples headcount for a peak period and returns to normal afterward will show an enormous turnover rate that says nothing at all about whether it is a good place to work.
Why Published Numbers Disagree With Each Other
Published numbers disagree because they measure different things: some are monthly rates, some are annual rates, and some count only the people who chose to leave. Seen side by side, the three stop looking contradictory.
Rates from the Bureau of Labor Statistics Job Openings and Labor Turnover Survey, 2025 annual averages.
Start with the federal source. The Job Openings and Labor Turnover Survey publishes hires, quits, layoffs, and total separations by industry, and it reports rates as a percentage of employment for the month.
According to the Bureau of Labor Statistics annual estimates for 2025, released in March 2026, the all-industry annual average rates were 2.0 percent for quits, 1.1 percent for layoffs and discharges, and 0.2 percent for other separations, giving total separations of 3.3 percent. Those are monthly averages, not annual totals.
Here is the detail that settles the confusion. The same agency used to publish the summed version of exactly these numbers. Its annual release covering 2018 put the total separations rate at 44.3 percent and the hires rate at 46.3 percent, while its monthly tables for the same economy showed low single digits. Identical data, two presentations, and a factor of twelve between them.
The Bureau has since stopped publishing that summed version, which is a large part of why the two conventions now circulate unlabeled. For 2025 it reports levels instead: 63.0 million hires and 62.8 million total separations across the economy, alongside the 3.3 percent monthly average.
Compensation surveys report one more figure separately. Voluntary turnover excludes terminations and seasonal endings, so it is always lower. According to Bureau of Labor Statistics data, retail quits averaged 2.6 percent a month in 2025, about 31 percent annualized, against 2.0 percent a month across all industries. Comparing your total turnover against a published voluntary figure is another common way this goes wrong.
The Average Retail Turnover Rate
According to the Bureau of Labor Statistics, the average retail turnover rate in 2025 was 3.8 percent a month, about 46 percent annualized. Every figure below is a 2025 annual average from the same source.
| Measure | Retail trade | All industries | What it tells you |
|---|---|---|---|
| Monthly total separations | 3.8 percent | 3.3 percent | The federal presentation of the activity |
| Annualized total turnover | About 46 percent | About 40 percent | Retail runs about six points above the economy |
| Monthly quits rate | 2.6 percent | 2.0 percent | Retail churn is quit-driven, not layoff-driven |
| Monthly layoffs and discharges | 1.1 percent | 1.1 percent | Identical, so the gap is entirely voluntary |
| Annualized voluntary turnover | About 31 percent | About 24 percent | The metric compensation surveys report |
| Monthly hires rate | 3.7 percent | 3.3 percent | Retail replaces almost exactly what it loses |
The layoffs row is the one to sit with. Retail's layoff rate is identical to the all-industry rate while its quits rate is 30 percent higher, which means the whole of retail's excess turnover comes from people choosing to leave rather than from employers letting people go. That is genuinely good news, because it puts the cause inside your control.
The direction of travel also matters and most published pages have it wrong. According to the Bureau of Labor Statistics, retail trade separations ran at 5.4 percent a month in 2021 and have fallen every year since: 5.0 percent in 2022, 4.5 percent in 2023, 4.0 percent in 2024, and 3.8 percent in 2025.
Annualized, the fall runs from roughly 65 percent to roughly 46 percent, which is where the stubborn 60 percent benchmark came from. A page telling you retail turnover is climbing is therefore quoting a figure that stopped being true several years ago. The useful comparison is your own store against your own store a year earlier, with the federal number as a sanity check rather than a target.
Turnover by Subsector and Role
The headline number hides a wide spread. Where you sit inside retail changes the realistic benchmark substantially.
| Segment or role | Turnover relative to the 46 percent retail figure | Why |
|---|---|---|
| Part-time hourly in-store | Well above it | Variable hours, low switching cost, heavy seasonal mix |
| Full-time hourly in-store | Above it | More stable income, still schedule-driven |
| General merchandise and clothing | Above it | Large seasonal swings and high part-time share |
| Grocery and food retail | Near it | Steadier hours, more full-time roles |
| Specialty and boutique retail | Below it, if hours are stable | Small teams, direct owner contact, less seasonality |
| Store managers | Well below it | Salaried, predictable schedule, a visible career step |
| Corporate and support roles | Lowest, comparable to any office job | Not really a retail turnover problem at all |
The federal turnover survey does not split retail below the trade level, so treat those rows as direction rather than as published rates. What the published data does support is the tenure picture underneath them.
According to the Bureau of Labor Statistics employee tenure survey for January 2026, about 21 percent of all US wage and salary workers had a year or less with their current employer, and median tenure among workers aged 25 to 34 was 3.0 years against 9.6 years for those aged 55 to 64.
Retail employs a younger and more part-time workforce than most industries. According to Bureau of Labor Statistics household survey data for 2025, the median retail worker was 38.5 years old, against 42.1 for all employed people. That composition explains a meaningful share of retail's higher turnover before you attribute any of it to how the stores are run.
The pattern across the table's rows is one variable: schedule stability and hours predictability, not seniority or pay level. Store managers do not stay because they earn more, they stay because they know what next Tuesday looks like.
That scheduling lesson is the whole reduction strategy in one line, and it is why how you build the schedule matters more here than in almost any other industry.
Retail Compared With Other Industries
Retail trade ran 3.8 percent a month in 2025 against 3.3 percent for all industries, which puts it above the economy-wide rate but well below the highest-churn sectors.
A comparison is only useful when the definitions match, which is why most published cross-industry tables mislead. Every row below is the same measure from the Bureau of Labor Statistics turnover tables: the 2025 annual average monthly separations rate, with the annualized version beside it.
| Industry | Monthly separations, 2025 | Annualized | Main driver |
|---|---|---|---|
| Arts, entertainment, and recreation | 6.1 percent | About 73 percent | Heavily seasonal by nature |
| Leisure and hospitality | 5.6 percent | About 67 percent | Seasonal, part-time, and tipped work |
| Professional and business services | 4.6 percent | About 55 percent | Lifted by temporary help and staffing firms |
| Construction | 4.0 percent | About 48 percent | Project-based employment cycles |
| Retail trade | 3.8 percent | About 46 percent | Variable schedules and a large part-time base |
| All industries | 3.3 percent | About 40 percent | The benchmark everything else is read against |
| Manufacturing | 2.4 percent | About 29 percent | Full-time, fixed shifts, longer tenure |
| Finance and insurance | 2.1 percent | About 25 percent | Salaried, office-based, longer tenure |
| Government | 1.5 percent | About 18 percent | Stability and pension structures |
Two things follow. First, retail is not the outlier the coverage implies, since several sectors churn harder. Second, the sectors below the average share one feature, predictable full-time schedules, which points to where a retailer should spend effort. The manufacturing comparison is instructive precisely because the work is not obviously more pleasant, just more predictable.
Separating Seasonal Churn From a Real Problem
Split your departures into seasonal and permanent, because that split is the fastest way to find out whether you have a retention problem at all.
A large share of retail hiring is seasonal by design. People are hired for a peak period, employed for a matter of weeks, and depart when it ends. Every one of those departures lands in your turnover rate, and none of them tells you anything about whether your permanent staff want to stay.
| Departure type | Counts as turnover | Signals a problem | What to do with it |
|---|---|---|---|
| Seasonal end of assignment | Yes | No | Track separately, measure rehire rate instead |
| Seasonal hire quitting mid-season | Yes | Yes | This is an onboarding failure, treat it as one |
| Permanent voluntary resignation | Yes | Yes | The number that matters most |
| Involuntary termination | Yes | Sometimes | Frequently a hiring failure rather than a retention one |
| Departure within first 90 days | Yes | Strongly | The single most actionable category |
| Internal move to another location | No | No | Do not count it, they are still employed |
Why Retail Turnover Runs So High
Retail turnover runs high for six overlapping reasons, and they are not the ones most owners assume.
Pay is on that list, but it is only part of the picture, which surprises people. The Shift Project at the Harvard Kennedy School followed 1,827 hourly retail and food service workers and found that schedule instability is a strong and robust predictor of turnover for the roughly one third of the sample working unstable schedules, with just under half the effect running through job satisfaction.
That result is unusually favorable for a small retailer. The first cause on that list is free to address, and the second one is often about the number of hours rather than the rate attached to them.
Nick Anisimov, FirstHR founderIn parts of the country, advance-notice scheduling is not optional. Predictive scheduling rules require covered employers to publish schedules a set number of days ahead and to pay a premium for late changes, which turns a major driver of retail turnover into a compliance question as well as a retention one.
What Turnover Actually Costs a Retail Business
A small retailer should expect one departure to cost in the low thousands of dollars. The published replacement-cost benchmark runs far higher because it is a multiple of salary.
According to Gallup, replacing an employee costs one-half to two times that employee's annual salary, a range Gallup itself calls conservative. It is a general multiple across every kind of role rather than a retail figure, and it badly overstates the cost of replacing an hourly retail associate.
Using it makes the problem look so large that nobody believes the number, which is worse than having no number at all. The honest calculation is bottom-up, built from the costs a small store can actually estimate.
The recruiting side on its own points to the same order of magnitude. According to Society for Human Resource Management benchmarking (2025), the average cost per hire for nonexecutive roles was $5,475 in recruiting spend alone, before anything about the departure itself enters the arithmetic.
| A | B | C | D | E | F | G | H | I | J | K | L | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Period | Location | Headcount at start | Headcount at end | Average headcount | Departures total | Of which voluntary | Of which seasonal | Of which within 90 days | Turnover percent | Voluntary percent | Permanent-only percent |
| 2 | Example: January | Main Street | 20 | 20 | 20 | 1 | 1 | 0 | 0 | 5 | 5 | 5 |
| 3 | Example: February | Main Street | 20 | 19 | 19.5 | 2 | 1 | 0 | 1 | 10.3 | 5.1 | 10.3 |
| 4 | March | |||||||||||
| 5 | April | |||||||||||
| 6 | May | |||||||||||
| 7 | June | |||||||||||
| 8 | July | |||||||||||
| 9 | August | |||||||||||
| 10 | September | |||||||||||
| 11 | October | |||||||||||
| 12 | November | |||||||||||
| 13 | December |
The first sheet calculates your rate three ways at once, so that you get total, voluntary, and permanent-only figures from one set of inputs. The second is the cost-per-departure calculator, built bottom-up from items a small store can actually estimate. The third is the exit log, which is the sheet that eventually tells you which location, supervisor, or shift pattern is producing your departures.
The largest line in the cost sheet is the one nobody invoices for: reduced productivity while somebody learns the job. A new associate at half speed for four weeks costs you two weeks of wages in output you did not get, and that single item usually exceeds everything you spent on advertising and interviewing combined.
If You Run a Store With Under 50 People
A small store should track turnover through counts and conversations rather than percentages and surveys. Most of what is published on this topic is written for chains, and an independent retailer differs in a few specific ways, most of them in your favor.
| Factor | Large chain | Independent retailer | What it means for you |
|---|---|---|---|
| Statistical noise | Turnover rate is stable and meaningful | One departure moves the rate by 2 points or more (10 at a 10-person store) | Track counts and reasons, not just the percentage |
| Cost of one departure | Absorbed across hundreds of stores | A material share of your monthly margin | The arithmetic justifies action sooner than it does for a chain |
| Distance to the decision maker | Several layers | The owner is on the floor | You can fix a scheduling complaint the same week |
| Schedule flexibility | Constrained by systems and policy | You can change it tomorrow | A major driver of retail turnover is within your direct control |
| Career path to offer | Real but slow and distant | Limited but concrete and quick | Name a next step even if it is small, and mean it |
| Ability to know why people leave | Requires a survey program | You can simply ask | Do that instead of buying an engagement platform |
Small employers are the norm, not the exception. According to the US Census Bureau, 55.7 percent of all US employer establishments had fewer than five employees in 2022. The enterprise-framed advice that dominates this topic was written for a minority of employers.
The first row matters more than it looks. At eleven staff, one person leaving is a nine-point swing in your rate, and chasing a percentage at that scale produces noise rather than insight. Count departures, record why, and look for the pattern. Three departures in a year all from the same shift is a finding; a rate of 27 percent is not.
The advantage worth pressing is the last row. A chain runs engagement surveys because it cannot ask 40,000 people directly. You can ask, and the answer arrives immediately and unfiltered. A five-minute conversation at day 7 and day 30 with every new hire will tell you more about your retention problem than any published benchmark.
What Actually Reduces Retail Turnover
Eight changes reduce retail turnover for a small store, ordered by return per dollar rather than by how impressive they sound, and weighted toward what you can do without a budget.
The first six items cost next to nothing, and that is not a coincidence. According to the Work Institute 2025 Retention Report, built on 123,297 exit interviews from 2019 to 2024, preventable reasons accounted for 76.3 percent of 2024 exits. Pay and benefits drove only 8.2 percent of all exits, so most preventable departures turn on conditions rather than compensation.
Onboarding deserves special mention because it is where the arithmetic is especially favorable. A written onboarding checklist and a named trainer take an afternoon to set up and then run themselves, and they attack the single largest preventable category of retail departures.
Retailers with high seasonal volume get the onboarding benefit twice over, since preboarding a peak-season cohort before their first shift measurably reduces the no-shows and first-week walkouts that inflate the whole number.
What to Track
Six numbers, most of them reviewed monthly, are enough for any small retailer.
| Metric | How to calculate | What it tells you | Act when |
|---|---|---|---|
| Departure count by location and shift | Simple count from the exit log | Where the problem physically is | One location or shift produces most of them |
| First-90-day departure share | Departures inside 90 days ÷ all departures | Whether hiring and onboarding are working | Above roughly a quarter |
| Permanent voluntary turnover | Voluntary permanent departures ÷ average permanent headcount | Whether people are leaving you specifically | It rises two periods in a row |
| Seasonal rehire rate | Returning seasonal staff ÷ last season's seasonal staff | How much recruiting cost you avoid each peak | Below roughly a third |
| Cost per departure | From the calculator above, refreshed yearly | What a retained employee is worth | You are about to argue for a pay change |
| Average tenure at departure | Mean days employed for leavers | Whether you are losing new people or experienced ones | It falls below six months |
The second row is the one to start with if you only do one. First-90-day departures are the most preventable category of turnover, the cheapest to fix, and the clearest signal about whether the problem is in hiring or in the first month. Everything else can wait a quarter.
Where Retailers Get This Wrong
Eight mistakes show up again and again, in independents and chains alike.
Comparing an annual rate against a monthly benchmark is first, and it is entirely the fault of the published content. A store at 46 percent annually is sitting exactly on the industry average, not twelve times worse than a federal figure of 3.8 percent.
Counting seasonal departures in the number you act on is second. It inflates the headline, makes the trend unreadable, and hides whatever is happening to your permanent staff.
Treating the rate as the metric at small headcounts is third. At eleven people the percentage is noise. Counts, reasons, and patterns are signal.
Assuming it is pay is fourth. Check schedule predictability and hours stability first, because a raise spent before those are fixed can buy less retention per dollar than the free changes would.
Ignoring where departures cluster is fifth. Turnover is almost never evenly distributed, and the location, shift, or supervisor producing most of it is findable in a morning.
Skipping the first week is sixth, and it is the most expensive omission on the list given how cheap the fix is. According to Work Institute, more than a third of newly hired employees quit within their first year, and it names unclear job expectations and insufficient onboarding among the usual causes.
Not asking why people leave is seventh. A small retailer can simply have the conversation, and a light exit interview produces better data than any survey tool a chain would buy.
And treating high turnover as unavoidable is last. It is normal for retail, which is a statement about the industry rather than a verdict on your store. The stores with predictable schedules, guaranteed hours, and a real first week run materially below the benchmark on the same wages, and the arithmetic on getting there is usually favorable within a single year.
The tracking itself scales with the business. At larger headcounts the same job gets handed to retail workforce management software; below that, a spreadsheet and the discipline to fill it in weekly does the same work.
Frequently Asked Questions
What is the average turnover rate in retail?
Retail trade ran about 46 percent annualized in 2025, a little above the roughly 40 percent all-industry figure rather than the double that most articles claim. Federal labor turnover data expresses the same reality as a monthly rate, where retail separations averaged 3.8 percent against 3.3 percent for the economy as a whole. Both presentations are correct, and multiplying the monthly figure by twelve gets you roughly to the annual one. The 60 percent number still circulating describes retail as it was in 2021 and 2022, when the monthly rate ran at 5.4 and then 5.0 percent.
How do you calculate retail turnover rate?
Divide the number of employees who left during a period by the average number of employees during that period, then multiply by 100. Average headcount is usually the starting headcount plus the ending headcount divided by two. For an annual rate, run it over twelve months. For a monthly rate, run it over one month. The formula is simple; the decisions that matter are whether you count seasonal hires, whether you count involuntary terminations, and whether you count people who left within their first 90 days separately.
Why is turnover so high in retail?
Six causes compound. Schedules are often posted with little notice, which makes childcare, a second job, or study impossible to plan around, and Shift Project research at the Harvard Kennedy School found schedule instability to be a strong predictor of turnover among hourly retail and food service workers. Weekly hours swing, so income swings with them. Many roles offer no stated route to a next step. The direct supervisor controls shifts and holidays, so one poor supervisor drives a disproportionate number of departures. A thin first week sends new hires out the door early. And much of retail hiring is for a season and ends with it, which inflates the headline figure without pointing to any retention problem.
Is a 60 percent turnover rate bad for a retail store?
It sits above the current retail figure of about 46 percent, so it is worth a look rather than a shrug. The more useful question is what your number looks like once you separate seasonal departures, involuntary terminations, and people who left within their first 90 days. A store at 60 percent where most departures are end-of-season has a seasonal business, not a retention problem. A store at 60 percent where a third of departures happen in the first three months has an onboarding problem that is entirely fixable and is costing real money.
How much does retail turnover cost per employee?
Gallup puts replacement cost at one-half to two times annual salary, but that is a broad figure covering all types of jobs, not a retail benchmark, and it overstates the cost for most hourly retail positions. Society for Human Resource Management benchmarking from 2025 offers a narrower anchor: an average of $5,475 spent on recruiting for each nonexecutive hire. For a small store, a realistic all-in figure is usually in the low thousands of dollars per departure once you add interview and paperwork time, training hours, reduced productivity while the person learns, and overtime paid to cover the gap. The only number worth acting on is your own, calculated once from your actual costs and then reused.
What is a good turnover rate for retail?
There is no universal good number, because the honest target depends on your seasonal mix and your subsector. A practical approach is to measure three separate figures and set targets for each: total turnover, which tells you about workload; voluntary permanent turnover, which tells you whether people are leaving you specifically; and first-90-day turnover, which tells you whether hiring and onboarding are working. Improving the second and third is what changes the business. The first will move on its own when they do.
Does seasonal hiring count toward the turnover rate?
It does in most published figures, which is exactly why those figures are hard to act on. A retailer that hires temporary staff for a peak season and parts with them when it ends will show high turnover with no retention problem whatsoever. The fix is to track two numbers: total turnover including seasonal, which you need for workload and cost planning, and permanent-employee turnover excluding seasonal, which is the number that tells you whether anything is wrong. Most small retailers only ever calculate the first.
How can a small retailer reduce turnover without raising pay?
Three changes cost almost nothing and are worth making before any raise. First, post the schedule earlier and stop editing it, since instability is a documented predictor of turnover among hourly service-sector workers. Second, set a floor on weekly hours, because hours that swing from one week to the next leave people unable to plan their income. Third, give every new hire a structured first week: one person assigned to train them, a written checklist, and check-ins at day 7 and day 30. Work Institute reports that over a third of new hires are gone within twelve months and lists weak onboarding as a common cause.
What percentage of retail employees quit in their first year?
Work Institute reports that more than a third of new hires quit within their first year, though that is a figure for employers in general rather than retail alone. The reasons it lists include unclear job expectations, insufficient onboarding, weak support from leadership, and poor role fit. That is the most useful statistic on this page, because departures in the first months are the easiest kind of turnover to prevent and the cheapest to address. If you measure only one thing, measure what share of your departures occurred within 90 days of the start date. If it is above a quarter, the problem is in hiring or the first month, not in pay.
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