Data Methodology Updated June 2026

How We Calculate Cost Estimates

CostPrism uses a multi-layer methodology to produce localized cost estimates across 49 cost categories, 50 states, and 50 major cities. This page describes our process in full.

1

National Baseline Establishment

For each cost category, we establish a national baseline average from multiple data sources. Baselines represent the typical cost for a standard scenario (e.g., a 2,000 sqft roof replacement with architectural asphalt shingles) under median national conditions.

Sources for national baselines vary by category:

Category Primary Source
Home Improvement (Roof, HVAC, etc.)NAHB, NRCA, ACCA contractor surveys + BLS wage data
Auto & Homeowners InsuranceNAIC state filings, insurance commissioner data
Medical ProceduresCMS reimbursement schedules, provider billing surveys
Solar InstallationDOE / NREL benchmarks, Lawrence Berkeley National Lab data
Business Services (Payroll, LLC, etc.)SHRM surveys, state fee schedules, market research
Legal (Divorce, etc.)State bar surveys, court fee schedules, practitioner surveys
2

State Cost Multipliers

Each state receives a cost multiplier (range: 0.72–1.58) that scales the national baseline up or down based on local conditions. The multiplier is a weighted composite of:

  • Labor cost index (40% weight): BLS mean hourly wages for relevant occupations (construction, healthcare, etc.) in each state relative to the national median
  • Material cost index (30% weight): Regional material costs including transportation, state sales tax on materials, and local supplier market concentration
  • Cost of living index (20% weight): C2ER Cost of Living Index by state, capturing business overhead and operational costs
  • Regulatory & permit factors (10% weight): State licensing requirements, permit fee schedules, and contractor density affecting competitive pricing

Sample State Multipliers

State Multiplier vs. National
California 1.48× +48% above avg
Colorado 1.12× +12% above avg
Florida 1.85× +85% above avg
Hawaii 1.68× +68% above avg
Mississippi 0.80× -20% below avg
New York 1.52× +52% above avg
Ohio 0.98× -2% below avg
Texas 0.98× -2% below avg
3

City-Level Adjustments

For our 50-city dataset, each city receives an additional adjustment layered on top of the state multiplier. City adjustments capture metro-area premiums or discounts:

  • Urban premium: Major metros (NYC, SF, LA, Chicago, Boston) carry 15–40% premiums above their state average due to labor market competition, permitting complexity, and higher operating costs
  • Secondary city discounts: Mid-sized cities often run 5–15% below their state average due to lower demand pressure and more competitive contractor markets
  • Climate factors: For HVAC, roofing, and insulation categories, extreme climate zones (humid subtropical, semi-arid) carry additional adjustments based on DOE climate data
4

Low / Average / High Range Calculation

For each estimate, we present a low-average-high range derived from the distribution of actual contractor bids and project invoices in the underlying data:

Range Represents
Low25th percentile — basic materials, competitive market, favorable conditions
Average50th–60th percentile — standard quality, typical market conditions
High85th percentile — premium materials, complex conditions, premium contractors

Spread ratios: Low = Average × 0.68–0.75; High = Average × 1.30–1.55 (varies by category volatility)

5

Annual Update Process

All cost data is reviewed annually (typically Q1–Q2 each year). The update process includes:

  • 1.Review new BLS Occupational Employment data (released annually)
  • 2.Update material cost indices based on Producer Price Index (PPI) for relevant commodities
  • 3.Cross-validate state multipliers against C2ER annual Cost of Living Index release
  • 4.Update insurance baselines based on NAIC annual market report
  • 5.Incorporate user feedback on significant local market deviations

Current dataset reflects June 2026 pricing conditions.

Known Limitations

  • !Rural vs. urban within a state: Our state multipliers use state-level averages. Rural areas within a state may run 10–20% lower; dense urban cores may run 15–30% higher than our state estimate.
  • !Real-time material price spikes: Lumber, copper, and asphalt prices can spike rapidly following supply disruptions. Our annual update cadence may not capture short-term price events.
  • !Individual project complexity: Unique structural conditions, access challenges, or premium specifications can move costs significantly outside our ranges.
  • !Insurance individual risk factors: Insurance premiums depend heavily on individual credit scores, claims history, property characteristics, and carrier-specific underwriting rules that our state averages cannot capture.