The 2025 WorldatWork Salary Budget Survey puts the median planned merit increase at 3.7% of base payroll. That number matters, but it also obscures more than it reveals.
A 3.7% budget does not mean every employee gets 3.7%. In a well-run merit program, a high performer sitting below their salary range midpoint might receive 7% while a solid but unremarkable performer already above midpoint gets 1.5%. The median is the pool, not the individual outcome. Understanding the difference is what separates organizations that use merit data effectively from those that watch their best people leave wondering why.
The merit matrix is where most organizations make their mistakes, and that is where this article spends most of its time.
Key Takeaways
- The median merit increase budget for 2025 is approximately 3.7% of base payroll, with most organizations planning between 3.0% and 5.0%.
- Individual increases vary from 0% to 8% or more depending on performance rating, compa-ratio, and salary range position.
- A merit matrix translates those inputs into specific percentages. Building one calibrated to your workforce distribution matters more than copying an industry average.
- The total budget percentage and the average individual increase are almost never the same number, because dollar weight varies by salary level.
- Merit increases are designed for rewarding performance within an established pay range. They cannot fix outdated salary structures or wage compression.
What the Benchmarks Show (and What They Hide)
Four major compensation surveys from 2025 cluster closely on planned merit budgets:
| Source | 2025 Projected Median |
|---|---|
| WorldatWork | 3.7% |
| Willis Towers Watson | 3.8% |
| Mercer | 3.9% |
| Payscale | 4.0% |
These are percentages of total base payroll, not per-employee targets. They represent what organizations plan to set aside before a single performance review has been completed.
What the numbers hide is industry variation. Based on WorldatWork and Mercer industry breakdowns, technology companies typically budget 4.0% to 5.0% due to competitive talent markets. Healthcare sits in the 3.5% to 4.5% range depending on role and geography. Manufacturing and government tend to stay closer to 3.0% to 3.5%, and financial services falls around 3.5% to 4.0%.
The other hidden variable is definition. Some organizations count only merit increases in these figures. Others bundle promotion adjustments, compression fixes, and market corrections under the same line item. When a peer company cites a 4.5% merit budget, that number may not be a direct comparison without knowing exactly what it includes. The WorldatWork survey explicitly flags this definitional inconsistency year over year, and it matters more than most benchmarking conversations acknowledge.
For a grounding in how merit increases differ from bonuses and cost-of-living adjustments, this overview of merit increases covers the mechanics.
The Four Variables That Determine an Individual’s Increase
The variable that surprises most managers is not performance rating. It is compa-ratio.
A 3-rated employee sitting at 74% of their salary range midpoint will frequently receive a larger percentage increase than a 4-rated employee at 112% of midpoint. That inversion feels wrong until you understand what the matrix is doing: not just rewarding past performance, but simultaneously correcting the gap between current pay and market position. Managers who haven’t internalized this push back on the matrix every cycle, insisting their strongest performers deserve the biggest checks. Those are often different people from those with the lowest compa-ratios. The matrix isn’t ignoring performance. It is running two problems through one formula.
Here is how each variable actually operates.
Performance rating determines which row an employee lands in. Strong performers get more; below-expectations performers get nothing. Organizations that give identical increases regardless of rating are running a cost-of-living adjustment in disguise, and no matrix design can fix that.
Compa-ratio determines which column. An employee at 0.85 (85% of range midpoint) has room to grow toward market and carries lower compression risk than someone at 1.15, who is already above the competitive benchmark for their role. The matrix concentrates dollars toward the lower end of the range intentionally.
Budget ceiling constrains the whole table. Even when the matrix suggests 7%, a department that has consumed most of its allocation has to adjust. Individual recommendations aggregate into a pool with a hard limit set by finance.
Market adjustments for competitive roles get pulled from the same budget in many organizations, which reduces what is available for performance-based distribution. Ring-fence them as a separate line item if you can. If you cannot, the merit program quietly absorbs them and the performance differentiation shrinks.
How a Merit Matrix Works
A merit matrix is a two-dimensional table that maps performance ratings against compa-ratio bands and assigns a specific increase percentage to each combination. It is the most common tool for translating compensation policy into individual decisions.
Here is an example calibrated to approximately a 4.0% overall budget:
| Rating | Below 80% CR | 80-90% CR | 90-100% CR | 100-110% CR | Above 110% CR |
|---|---|---|---|---|---|
| 5 (Outstanding) | 8.0% | 7.0% | 6.0% | 4.5% | 3.0% |
| 4 (Exceeds) | 6.0% | 5.0% | 4.0% | 3.0% | 2.0% |
| 3 (Meets) | 5.0% | 4.0% | 3.0% | 2.0% | 1.0% |
| 2 (Developing) | 2.5% | 2.0% | 1.0% | 0.0% | 0.0% |
| 1 (Below Expectations) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
The diagonal pattern rewards strong performers who are underpaid relative to their range. Employees above 110% of midpoint receive smaller increases even with top ratings, because further movement at that salary level creates compression risk for peers earning less.
The zero-percent rows are intentional. A merit program that gives increases to below-expectations employees becomes a more expensive cost-of-living adjustment.
Here is the step most organizations skip: validate the weighted average of your matrix against your actual workforce distribution before the cycle opens. If 60% of your employees are rated “Meets” and most of them sit in the 90-100% compa-ratio band, a matrix like the one above will project closer to 2.8% than 4.0%. One healthcare company ran this exercise after rather than before opening the cycle. First-pass manager recommendations came in at 2.9% of payroll against a 3.7% approved budget. Not a disaster technically, but the CFO had already communicated 3.7% to the board and spent an uncomfortable hour walking it back. The numbers in each matrix cell are planning assumptions until you run them against real headcount data.
A look at how the merit cycle fits into the broader planning calendar is useful context before finalizing the matrix.
From Budget Pool to Individual Paycheck: The Allocation Math
A 3.7% merit budget on a $50 million payroll gives you $1.85 million to allocate. How that translates to individual increases involves more than dividing by headcount.
Dollar weight changes everything. A $120,000 director receiving a 2% increase consumes $2,400 from the budget. An analyst earning $55,000 receiving 6% consumes $3,300. The analyst gets the larger percentage, but the director gets more dollars. When high earners cluster in certain rating categories, the aggregate math shifts, and the average percentage across the organization can diverge from the planned budget percentage by one or two full points in either direction.
The practical implication: run the merit model in dollars before the cycle opens, not percentages. Multiply each employee by their matrix-assigned percentage, sum the projected allocations, and compare to the approved pool. If the numbers align within 5%, the matrix is reasonably calibrated. If not, adjust cell values and rerun before managers see a single number.
Reserve a buffer of 5% to 8% of the total pool for rounding differences, mid-cycle headcount changes, and approvals that land after the main cycle closes.
Manager behavior shapes outcomes more than most comp teams account for. Without visibility into how their individual recommendations aggregate against a budget, managers cluster in the middle of the matrix. They avoid high cells because those require justification in a calibration meeting. They avoid zero increases because that conversation is uncomfortable. The result looks like a merit program but functions like a flat adjustment with cosmetic variation.
Reworld, a waste management company, broke this pattern after adopting a compensation planning platform that gave managers real-time visibility into their allocation as they entered recommendations. They compressed their planning cycle from 12 days to 3 and reached 90% manager participation. The change was not procedural. It was informational: managers who can see their total as they work correct their own distribution before it becomes someone else’s problem.
For the salary planning infrastructure that shapes how merit budgets get established in the first place, this guide on salary planning covers the upstream decisions.
When Merit Increases Are Not the Right Tool
Merit increases solve one specific problem: rewarding past performance within an established pay range. They do not solve the following.
Outdated salary ranges. If ranges have not been updated in three years and the market has moved, merit increases cannot close that gap. An employee who should be earning $90,000 but is currently at $72,000 needs a market adjustment with its own funding source, not a 4% merit increase that still leaves them $13,000 short. Running a merit cycle on an incorrect range compounds the problem.
Wage compression. When a new hire starts at $76,000 and a five-year employee earns $79,000, a standard 3% merit increase does not resolve the imbalance. It may worsen it: the employee sees a $2,370 raise while a newer peer earns $3,000 more in starting salary. The nominal gap grows. Wage compression requires targeted range adjustments, not another merit cycle.
Fast-moving talent markets. For roles where compensation needs to respond quickly, an annual cycle is too slow. Senior engineers, specialized technical positions, and high-demand sales roles often require off-cycle adjustments, equity components, or real-time recognition to remain competitive between reviews.
None of this means merit programs are broken. It means they are a precision instrument with a defined operating range, and using them to solve problems they were not designed for produces results that satisfy no one.
Running Your Own Numbers
This framework assumes at least 200 employees, an HRIS from which you can pull clean base pay data, and a comp function that can segment the workforce by rating and range position. Smaller teams without that infrastructure can apply the same logic but will need to build the distribution estimate manually before step 3 is possible.
- Pull total base payroll from your HRIS. This is your denominator.
- Multiply by the approved budget percentage to get the total dollar pool.
- Segment your workforce by performance rating and compa-ratio band. If you have last year’s rating distribution, use it as a starting point and adjust for any known drift (a new calibration process, a manager who changed rating behavior). If this is your first structured cycle, budget extra time here: inaccurate distribution estimates produce inaccurate projections, and you will not find out until the cycle is nearly closed.
- Apply the matrix to each segment and sum projected allocations in dollars.
- Compare projected dollars to the approved pool. If within 5%, the matrix is calibrated for your workforce. If not, adjust cell values, particularly in the high-population cells (usually Meets at 90-100% compa-ratio), and rerun.
- Set aside a 5% to 8% buffer before opening the cycle to managers.
CompLogix’s budget modeling module runs this simulation against live HRIS data, so when you adjust a matrix cell, the projected utilization updates across the entire workforce immediately rather than requiring a manual rebuild. That is useful every cycle but matters especially when leadership asks for three budget scenarios in the same afternoon.
The downloadable Merit Increase Calculator below runs this analysis in Excel: editable matrix, automatic compa-ratio calculations, individual projections for up to 50 employees, and a summary showing total allocation against your planned budget.
Frequently Asked Questions
What is a typical merit increase percentage? The median merit budget for 2025 is approximately 3.7% of base payroll, according to WorldatWork. Most organizations fall between 3.0% and 5.0%, with tech and professional services at the higher end. Individual increases range from 0% to 8% or more depending on performance rating and position within the salary range. Outstanding performers below 80% of their range midpoint often receive 2 to 3 times the percentage of an average performer already above midpoint.
How much is a 3% merit increase in dollars? It scales directly with base salary. A 3% increase on a $70,000 salary adds $2,100 per year. On a $120,000 salary, it adds $3,600. This dollar difference is why higher earners consume a disproportionate share of the merit budget even when their percentage increases are smaller.
Should every employee get a merit increase? No. In a genuine merit program, employees rated below expectations should not receive an increase. Giving increases across the board regardless of performance converts the merit cycle into a cost-of-living adjustment and eliminates the differentiation the program is designed to create. The harder truth is that managers often avoid zero increases because the conversation is difficult, which is exactly what calibration sessions exist to address.
Does compa-ratio affect how much you receive? Yes, and more than most employees realize. An employee above 110% of their salary range midpoint may receive a small increase or none at all even with a strong performance rating, because their pay already exceeds the market benchmark for their role. Additional increases at that level create compression risk for colleagues earning less. It is not a punishment for success. It is a signal that their pay is already where it belongs.
What is the difference between a merit increase and a raise? A merit increase is a performance-based salary adjustment that occurs during an annual compensation cycle. A raise is any permanent salary increase from any source, including promotions, market adjustments, and compression corrections. Every merit increase is a raise, but not every raise comes from merit.
The Bottom Line
The honest thing to say about merit programs: the percentage is rarely what drives turnover. Organizations that lose strong performers to competitors almost never trace it back to running 3.7% instead of 4.2%. They trace it back to a manager who rated nine of twelve reports “exceeds expectations” with no calibration, to a process where the merit increase felt arbitrary because no one explained the matrix, or to a high performer above midpoint who received 1.5% and concluded the organization did not value them.
The math in this article is the foundation. The harder work is the consistency that makes the math mean something. A well-calibrated matrix with inconsistently applied ratings is still just a cost-of-living adjustment in better packaging.
CompLogix’s compensation management platform connects merit matrix logic with live workforce data, routes recommendations through approval workflows, and shows budget utilization in real time so problems surface before they cascade. If the next merit cycle is approaching, it is worth seeing what that looks like for your team.