Methodology
Transparency matters. Here's exactly how we calculate rideshare fare estimates, where our data comes from, and what our limitations are.
RideWise aggregates pricing information from multiple authoritative sources to ensure our estimates are as accurate as possible:
Uber Rate Cards
Published fare structures from Uber's official rider help pages, including base fares, per-mile rates, per-minute rates, booking fees, and minimum fares for each service tier.
Lyft Pricing Data
Published pricing information from Lyft's official site, covering Standard, XL, and Lux tiers with city-specific rate variations.
Taxi Regulatory Filings
Metered fare schedules filed with city and county transportation authorities. These are public records that set legal fare structures.
Airport Surcharge Schedules
Published pickup and drop-off surcharges from airport authorities across 47+ US airports.
We also reference Bureau of Labor Statistics transportation cost indices and AAA's annual driving cost studies for broader cost-of-travel context in our editorial content.
Our fare estimation model follows the same structure used by Uber and Lyft themselves:
Estimated Fare = Base Fare + (Per-Mile Rate × Distance) + (Per-Minute Rate × Time) + Booking Fee
Subject to minimum fare floors per service tier and market.
Additional factors applied where relevant:
We display estimates as a price range (typically ±10–15%) to account for real-world variability in traffic, demand fluctuations, and routing differences.
Rate Card Reviews
Reviewed and updated monthly against official Uber and Lyft published rate pages.
Blog Fact-Checking
Every article is fact-checked against current rates before publication and updated when pricing changes.
Coverage
300+ US cities with localized rate data and 47+ airports with surcharge schedules.
Last Comprehensive Audit
March 2026
We are transparent about what our estimates can and cannot do:
Important Limitations
Our estimates are typically within 10–15% of actual fares based on validation against observed trip costs. Accuracy is highest in major metro areas where we have the most granular rate data and historical demand patterns.
For the best results when comparing rideshare fares:
Every piece of content on RideWise is held to the following standards:
Questions about our data or methodology?