Our methodology

CostReno estimates are built from multiple data layers, not a single national average. Our primary sources include:

• Bureau of Labor Statistics (BLS) metro-level wage data for construction occupations, published periodically by the U.S. Department of Labor.
• Producer Price Index (PPI) material price trends for construction inputs such as lumber, roofing, concrete, and metals.
• Census Building Permits Survey residential permit activity that helps contextualize local construction demand.
• Industry cost databases from construction research organizations that track regional material and labor pricing.
• User-submitted contractor quotes that help us validate and refine pricing in specific markets.
• Permit fee schedules from local municipalities across the US.

Outbound links point to primary public sources. CostReno does not claim affiliation with BLS or the U.S. Census Bureau. Estimates remain ranges, not bids.

Every estimate is adjusted to your specific location using your ZIP code. We account for:

• Labor cost index based on local construction wages relative to the national median.
• Material availability and regional supplier pricing differences.
• Permit and code requirements that vary by state and municipality (e.g., hurricane codes in Florida, seismic in California).
• Seasonal demand patterns that affect contractor availability and pricing.
• Market competitiveness since areas with more contractors tend to have more competitive pricing.

Our AI engine combines all data sources to produce estimates and power the quote analyzer:

• Cost estimation uses weighted models that factor property size, material selections, project complexity, and regional pricing to output a low/mid/high range.
• Quote analysis reads contractor bids line-by-line, categorizes items, benchmarks each against market rates, and flags anomalies.
• Continuous learning from every quote uploaded. More data points mean tighter ranges and better anomaly detection.
• Confidence scoring communicates how reliable a given estimate is based on data density for that project type and location.

Transparency also means being clear about limitations:

• We do not fabricate pricing data or invent statistics.
• We do not guarantee any specific price. Estimates are ranges for planning purposes.
• We do not replace professional contractor quotes for actual purchasing decisions.
• We clearly label when data is limited for a specific project type or location.
• We never sell user data or share uploaded quotes with third parties.

We measure ourselves against real-world outcomes. Our goal is for the majority of actual project costs to fall within our estimated ranges when users provide accurate project details.

When costs fall outside our ranges, we analyze why and update our models. Every user-submitted quote makes the system smarter for the next homeowner.

If you believe an estimate was significantly off, we'd appreciate hearing about it. Your feedback directly improves accuracy for everyone.