Each city below links to its hub showing every indexed service for that metro. State groupings are alphabetical; cities within a state are sorted by service coverage. The right-side column shows the city-level median hourly rate — a single signal of where the metro sits relative to the national median of $63/hr.
Coverage is densest across California, Texas, and Florida — together accounting for the bulk of the price-guide corpus. Rates shown are consumer-facing, not raw wages: industry-standard 1.5–2.5× multipliers convert BLS hourly figures into prices that account for overhead, insurance, and operating costs. The full calculation is documented in the methodology. For the same corpus organised by service type instead of location, see browse by service.
Source: BLS OEWS May 2024 release. Site last refreshed January 2026.
35 cities 22 states 296 price guides range $23–$1000/hr
San Jose, CA sits at the top of the index with a median consumer rate of $99/hr across 13 indexed services. High-cost coastal metros (San Francisco, San Jose, Boston, New York) consistently command the highest rates.
Cleveland, OH has the lowest median rate at $41/hr across 12 indexed services. Lower wage levels and cost of living in inland Sun Belt and Midwest metros drive most of the savings.
Service rates can vary 2–3× between high-cost coastal metros and lower-cost inland cities. Urban density doesn't always mean higher rates — mid-sized cities in low-cost-of-living states often have lower rates than smaller cities in expensive states.
California has the broadest coverage with 5 cities indexed and 47 price guides total. Coverage breadth tracks BLS OEWS data availability and metro population density.
San Francisco, CA has the widest internal spread at $49–$1000/hr across services. Wide spreads typically reflect markets where premium professional services pull the high end up while routine services anchor the low end.
City-specific. Each rate is derived from BLS OEWS metropolitan-area wage data for that specific city, then adjusted using industry-standard 1.5–2.5× multipliers to convert worker wages into consumer rates — the full methodology details every step.
For each city we compute the median across all indexed services. Half of the city's services sit above this number; half below. We use median rather than mean because it’s less skewed by extreme outliers, particularly in cities where one or two premium services pull the average upward.
Pricing reflects the BLS OEWS May 2024 release, published April 2025. The next refresh lands when May 2025 data is published in April 2026. Cadence is documented in the update schedule.
Data: BLS OEWS May 2024 · Methodology · Last refreshed January 2026