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Estimating & Bidding

Parametric Estimate

In Plain English

A cost estimate calculated using a cost-per-unit formula based on historical data, like dollars per square foot.

Definition

A parametric estimate uses statistical relationships between project parameters and historical cost data to produce cost projections, typically expressed as a cost per unit such as dollars per square foot or dollars per bed. It provides better accuracy than conceptual estimates but less than detailed quantity takeoffs. Parametric estimating is common in early project phases and for benchmarking.

Why It Matters in Bidding

Parametric estimates let owners and GCs set early budgets and test feasibility before drawings are complete enough for a detailed takeoff. For estimators, they are a fast benchmarking and sanity-check tool against the eventual line-item bid, but they carry real risk if the historical cost-per-unit data is stale or the new project's scope differs from the basis, so they should never substitute for a quantity takeoff at bid time.

Example

During schematic design, an estimator pegs a 120-bed assisted-living project at roughly $310 per square foot using cost-per-bed data from three similar recent jobs, giving the owner a budget order of magnitude months before construction documents exist.

Related Terms

Square Foot EstimateBudget EstimateConceptual EstimateEstimate

Frequently Asked Questions

Use it in early phases when drawings are too incomplete for quantity takeoff, such as feasibility, programming, or schematic design. It is also useful for benchmarking a detailed bid for reasonableness. Once construction documents exist, a detailed line-item takeoff should replace it for actual bidding and buyout.
It is more accurate than a rough conceptual estimate but less accurate than a detailed quantity takeoff, typically carrying a wider contingency range. Accuracy depends entirely on how well the historical cost basis matches the new project's location, scope, quality level, and market conditions, all of which require adjustment factors.
You need historical actual costs from comparable completed projects, normalized for size, location, time, and quality, along with the relevant unit parameter such as square feet, beds, or stalls. Without clean, escalated, and apples-to-apples cost history, the cost-per-unit factor produces a misleading number that can mislead the owner's budget.

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