Home / 2026 Bathroom Remodel Cost Index
Original modeled data · 20 major markets
2026 Bathroom Remodel Cost Index
The same standard full bathroom remodel models from $20,000–$30,000 in the lowest-cost covered market to $29,000–$44,000 in the highest. This index compares one defined project across 20 markets; it is a directional planning model, not a survey of contractor bids.
Key findings from the 2026 index
- The modeled full-remodel range spans from $20,000–$30,000 in Charlotte to $29,000–$44,000 in San Francisco.
- The highest covered market factor is 1.35× the national model; the lowest is 0.93×.
- Differences reflect the published editorial factors, not a measured wage index, home-value adjustment, or contractor-bid sample.
Download the complete indexCSV with market, factor, modeled range and official permit resource.
Download CSV ↓Bathroom remodel costs by major market
| Rank | Major market | Factor | Modeled full-remodel range | Local guide |
|---|---|---|---|---|
| 1 | San Francisco, CASan Francisco–Oakland–Berkeley | 1.35× | $29,000–$44,000 | Market details → |
| 2 | New York City, NYNew York–Newark–Jersey City | 1.29× | $27,500–$42,000 | Market details → |
| 3 | Los Angeles, CALos Angeles–Long Beach–Anaheim | 1.24× | $26,500–$40,500 | Market details → |
| 4 | Boston, MABoston–Cambridge–Newton | 1.24× | $26,500–$40,500 | Market details → |
| 5 | Washington, DCWashington–Arlington–Alexandria | 1.22× | $26,000–$39,500 | Market details → |
| 6 | Seattle, WASeattle–Tacoma–Bellevue | 1.21× | $26,000–$39,500 | Market details → |
| 7 | San Diego, CASan Diego–Chula Vista–Carlsbad | 1.18× | $25,500–$38,500 | Market details → |
| 8 | Portland, ORPortland–Vancouver–Hillsboro | 1.14× | $24,500–$37,000 | Market details → |
| 9 | Chicago, ILChicago–Naperville–Elgin | 1.12× | $24,000–$36,500 | Market details → |
| 10 | Miami, FLMiami–Fort Lauderdale–West Palm Beach | 1.08× | $23,000–$35,000 | Market details → |
| 11 | Denver, CODenver–Aurora–Centennial | 1.08× | $23,000–$35,000 | Market details → |
| 12 | Philadelphia, PAPhiladelphia–Camden–Wilmington | 1.08× | $23,000–$35,000 | Market details → |
| 13 | Minneapolis, MNMinneapolis–St. Paul–Bloomington | 1.06× | $23,000–$34,500 | Market details → |
| 14 | Austin, TXAustin–Round Rock–San Marcos | 1.02× | $22,000–$33,000 | Market details → |
| 15 | Orlando, FLOrlando–Kissimmee–Sanford | 0.97× | $21,000–$31,500 | Market details → |
| 16 | Dallas, TXDallas–Fort Worth–Arlington | 0.96× | $20,500–$31,000 | Market details → |
| 17 | Phoenix, AZPhoenix–Mesa–Chandler | 0.96× | $20,500–$31,000 | Market details → |
| 18 | Houston, TXHouston–Pasadena–The Woodlands | 0.95× | $20,500–$31,000 | Market details → |
| 19 | Atlanta, GAAtlanta–Sandy Springs–Roswell | 0.94× | $20,000–$30,500 | Market details → |
| 20 | Charlotte, NCCharlotte–Concord–Gastonia | 0.93× | $20,000–$30,000 | Market details → |
How the index is constructed
- Define one national projectA professionally installed full bathroom remodel with standard finishes and no major addition.
- Set the national rangeThe model references the 2025 Cost vs. Value midrange bath benchmark and expresses a practical low-to-high planning interval.
- Apply disclosed assumptionsEditorial market factors are stored directly. BLS wages and BEA price parities provide context, not a reproducible statistical derivation.
- Round for planningMarket outputs are rounded to $500 because project uncertainty does not support false precision.
Reproduce a row and test its sensitivity
For Los Angeles, $21,500 × 1.24 = $26,660 and $32,500 × 1.24 = $40,300. Nearest-$500 rounding produces $26,500–$40,500. For Seattle, the 1.21× assumption produces $26,000–$39,500. These results are arithmetic consequences of assumed factors, not independently collected local prices.
If the Los Angeles factor were 1.14 instead, the same interval would round to $24,500–$37,000. A 0.10 factor change moves the low endpoint by $2,000 and the high by $3,500 after rounding. That sensitivity is a reason to seek local bids, not a reason to treat a two-decimal factor as precise.
Useful comparisons and misleading comparisons
Use the index to hold scope constant while exploring a market assumption. Do not interpret a city ranking as a guarantee that every contractor in one market costs more than every contractor in another. The model does not measure within-city variation or error bounds. Downloaded figures should be described as modeled editorial estimates, with model version and access date.
What this dataset does not claim
The index is not a collection of actual contractor proposals, transaction prices or ZIP-code estimates. It does not model every municipality, building type or hidden condition. The factors should help set an initial allowance; written local proposals remain the decision document.