Productivity Rate Calculator
Calculate units-per-labor-hour from your past jobs. Build your own production rates database.
Total crew hours, not days. Example: 2 workers × 20 hours = 40 labor hours.
Used to project units per crew-day at 8 hrs/day × crew size.
Productivity Rate
50.00 SF/labor hr
0.020 labor hrs per SF
| Units completed | 2,000 SF |
| Labor hours | 40.0 |
| Units per labor hour | 50.00 |
| Labor hours per unit | 0.020 |
| Units per crew-day (8 hrs × 2) | 800.0 |
Track your own rates over time. Your crew's productivity on your kind of work is better data than any industry average. After 5–10 entries for the same activity, you have a real baseline you can bid against.
My Saved Rates
No saved rates yet. Calculate above and click "Save to My Rates Database".
Estimates only. Productivity, crew size, and schedule depend on real-world conditions; verify with your project's competent supervision.
Methodology: units per labor hour = units completed ÷ total man-hours. Units per crew-day = (units / labor hours) × 8 × crew size. Saved entries live in your browser only — nothing is sent to any server.
Frequently Asked Questions
What factors affect productivity?
Crew experience, material handling distance, ceiling height, repetitiveness of the work, weather (for outdoor trades), site congestion, sequencing with other trades, supervision quality, overtime fatigue, and tooling. Two identical takeoffs on two different sites can produce very different per-hour rates. That is why your own historical data beats any generic reference.
How many data points before I can trust a rate?
5–10 entries for the same activity under similar conditions gives you a reasonable working average. Below that, treat any single number as a data point, not a benchmark. The running average in the table above is a hours-weighted average, so a 200-hour job counts ten times as much as a 20-hour job.
What is the difference between actual and budgeted productivity?
Budgeted productivity is the rate you assumed when you priced the job — it goes into the bid. Actual productivity is what the crew produced on site. The variance between the two is the single most important number in construction estimating. If your actuals consistently fall short of budget, you are either bidding too aggressively or losing field hours to causes (rework, mobilization, sequencing) that you haven't priced.
RS Means vs. your own data — which should I use?
Published references like RS Means, NCCS, or trade-association rate books are useful for activities you have never done, for sanity-checking a bid, or for adjusting to a region you don't normally work in. For anything you do regularly, your own production rates from completed jobs are the better number — they reflect your crew, your tools, your supervision, and your typical site conditions. The point of this tool is to build that personal database over time.