What is covers per hour? Definition for restaurants
The number of guests served per hour, measuring a restaurant's service throughput and capacity utilization.
Covers per hour measures how many guests a restaurant serves during each hour of operation. For restaurants, this throughput metric reveals service capacity utilization and helps optimize staffing, kitchen prep, and reservation pacing. A restaurant serving 25 covers per hour during dinner knows exactly what staff levels and prep volumes that demand requires.
Key facts
- Definition: Total guests served divided by hours of operation
- Formula: Covers per Hour = Total Covers / Hours Open
- Good benchmark: Fine dining 5-10, casual dining 15-30, fast casual 40-80
- Why it matters: Drives staffing decisions, kitchen prep, and capacity planning
The quick definition
Covers per hour measures your restaurant’s service throughput by dividing total guests served by the hours you operated. This metric helps you understand how efficiently your restaurant processes guest volume during different times.
Covers per Hour = Total Covers / Hours Open
Example: A restaurant serves 150 covers during a 5-hour dinner service. Covers per Hour = 150 / 5 = 30 covers per hour
Why covers per hour matters
Staffing decisions
Covers per hour directly determines labor needs:
| Covers per Hour | Typical Staffing |
|---|---|
| 10-15 | Light staffing, 1 server per 6-8 tables |
| 20-30 | Standard staffing, 1 server per 4-5 tables |
| 35-50 | Full staffing, 1 server per 3-4 tables |
| 50+ | Maximum staffing, support positions added |
Knowing your hourly patterns prevents overstaffing slow periods and understaffing peaks.
Kitchen throughput
Covers per hour tells the kitchen what to expect:
| Kitchen Planning | Covers per Hour Impact |
|---|---|
| Prep volume | Higher covers need more mise en place |
| Line staffing | Peaks require full line coverage |
| Cook times | High volume may need faster dishes |
| Plating stations | More covers need more hands |
Revenue forecasting
Combine covers per hour with average check for hourly revenue projections:
Hourly Revenue = Covers per Hour x Average Check
Example: 30 covers per hour x $45 average check = $1,350 hourly revenue
How to calculate covers per hour
Basic calculation
Covers per Hour = Total Covers / Hours Open
Example calculation:
- Lunch service: 11am-2pm (3 hours)
- Total lunch covers: 75
- Covers per hour: 75 / 3 = 25
Hourly breakdown
For more useful data, track each hour separately:
| Hour | Covers | Notes |
|---|---|---|
| 6:00pm | 15 | Early diners |
| 7:00pm | 45 | Peak hour |
| 8:00pm | 42 | Strong demand |
| 9:00pm | 28 | Winding down |
| 10:00pm | 10 | Late stragglers |
This reveals your actual demand curve.
By service period
Calculate separately for lunch and dinner:
| Service | Hours | Total Covers | Covers per Hour |
|---|---|---|---|
| Lunch | 3 | 60 | 20 |
| Dinner | 5 | 175 | 35 |
Different periods have different patterns and staffing needs.
What is a good covers per hour rate?
Benchmarks by restaurant type
| Restaurant Type | Typical Covers/Hour | Peak Hour Range |
|---|---|---|
| Fine dining | 5-10 | 8-15 |
| Upscale casual | 12-20 | 18-30 |
| Casual dining | 15-30 | 25-45 |
| Fast casual | 40-80 | 60-120 |
| Quick service | 80-200+ | 100-300+ |
Factors affecting your target
| Factor | Impact on Covers per Hour |
|---|---|
| Seating capacity | More seats = more potential covers |
| Table turnover | Faster turns = more covers |
| Service style | Full service slower than counter |
| Menu complexity | Complex menus slow throughput |
| Kitchen capacity | Limits how fast you can serve |
Calculating your maximum
Maximum Covers per Hour = Seats x (60 / Average Dining Time)
Example:
- 50 seats
- 60-minute average dining time
- Maximum: 50 x (60/60) = 50 covers per hour
In practice, you will rarely hit theoretical maximum due to table gaps, party size mismatches, and service flow.
How to improve your covers per hour
1. Reduce time between seatings
Dead time between guests is lost capacity:
| Improvement | Time Saved |
|---|---|
| Pre-bus during dessert | 3-5 minutes |
| Faster table resets | 2-3 minutes |
| Real-time table status | 2-5 minutes |
| Staggered reservations | Smooths flow |
2. Speed up payment processing
Payment is often the biggest bottleneck:
| Payment Method | Typical Time |
|---|---|
| Traditional (check to card) | 8-12 minutes |
| Proactive check drop | 5-8 minutes |
| Tableside terminals | 2-4 minutes |
| QR code pay | 1-3 minutes |
Cutting 5 minutes from payment across 30 tables saves 150 minutes of table time nightly.
3. Optimize table assignments
Match parties to tables efficiently:
- Track party size distribution
- Configure seating to match demand
- Avoid seating 2 guests at 4-tops during peak
- Use bar seating for small parties
4. Improve kitchen throughput
Kitchen speed affects how fast you can turn tables:
| Kitchen Improvement | Impact |
|---|---|
| Better mise en place | Faster ticket times |
| Streamlined menu | Fewer bottlenecks |
| Proper station setup | Smoother flow |
| Expo communication | Faster plating |
5. Manage reservation pacing
Smooth arrival patterns improve throughput:
| Poor Pacing | Better Pacing |
|---|---|
| All 7:00pm arrivals | 6:45, 7:00, 7:15, 7:30 |
| Kitchen overwhelmed | Steady ticket flow |
| Long waits for food | Consistent service |
| Staff stressed | Manageable workload |
Covers per hour versus other metrics
Compared to table turnover
| Metric | What It Measures | Best For |
|---|---|---|
| Covers per hour | Guest throughput | Staffing, prep |
| Table turnover | Table utilization | Capacity planning |
A large-table restaurant might have high covers per hour but low turnover.
Compared to RevPASH
| Metric | What It Captures |
|---|---|
| Covers per hour | Volume only |
| RevPASH | Revenue per seat per hour |
RevPASH adds check average to the equation, giving a fuller picture.
Using them together
| Scenario | Covers/Hour | RevPASH | Insight |
|---|---|---|---|
| High volume, low check | High | Low | Upselling opportunity |
| Low volume, high check | Low | Moderate | Fill more seats |
| High volume, high check | High | High | Optimal performance |
Tracking covers per hour
Daily tracking template
| Hour | Covers | Revenue | Staff On |
|---|---|---|---|
| 5pm | |||
| 6pm | |||
| 7pm | |||
| 8pm | |||
| 9pm |
Weekly analysis
Compare same hours across days:
| Day | 7pm Covers | Staff | Notes |
|---|---|---|---|
| Mon | 22 | 3 servers | Typical |
| Tue | 25 | 3 servers | Slightly busy |
| Wed | 28 | 4 servers | Good coverage |
| Thu | 35 | 4 servers | Understaffed |
| Fri | 48 | 5 servers | Peak night |
| Sat | 52 | 6 servers | Maximum |
| Sun | 30 | 4 servers | Brunch crowd |
Related terms
- Cover - The individual guest unit that covers per hour counts
- RevPASH - Revenue per available seat hour, adds financial dimension
- Table turnover rate - How often tables are reused, a related efficiency metric
Frequently Asked Questions
What is a good covers per hour rate?
How do you calculate covers per hour?
How does covers per hour differ from table turnover rate?
Should I track covers per hour or per service period?
How can I increase covers per hour?
Related: Capacity planning | How to optimize staffing
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