Estimate the number of Uber rides taken in New York City on a typical weekday.
Market-sizing questions test whether you can decompose a complex number into estimable sub-components, make explicit and reasonable assumptions, sanity-check against known benchmarks, and communicate uncertainty without losing structure. The answer itself matters less than the reasoning chain.
How to think about it
Framework: decompose → estimate each part → multiply → sanity-check
State your approach out loud before computing. Interviewers care about your decomposition, not your arithmetic.
Step 1 — Anchor population
NYC population: ~8.3 million residents. Roughly 20 % of trips are from visitors or commuters from outside; adjust total demand to ~10 million trip-generating people on a weekday.
Step 2 — Estimate daily trip demand
Not everyone uses Uber. NYC has extensive subway and bus infrastructure. Break the population into segments:
| Segment | Size | Uber trips/day |
|---|---|---|
| Regular Uber users (~15 % of population) | 1.5 M | 0.3 trips/day avg |
| Occasional users (~25 %) | 2.5 M | 0.05 trips/day avg |
| Non-users (~60 %) | 6 M | 0 |
Regular users: 1.5M x 0.3 = 450,000 trips. Occasional users: 2.5M x 0.05 = 125,000 trips. Rough total from residents: ~575,000 trips/day.
Add business / expense-account trips: Midtown Manhattan alone has ~400,000 office workers; assume 10 % take Uber to/from a meeting: 40,000 additional trips. Also add airport trips (JFK, LGA, EWR together ~300 Uber trips/hour for 18 active hours = ~5,400/day from NYC origin).
Rough total: ~620,000 Uber rides on a typical weekday.
Step 3 — Sanity-check
Reported figures suggest Uber completes roughly 600,000 – 700,000 trips/day in NYC, which aligns. The NYC Taxi and Limousine Commission data (which covers Uber) shows ~600K FHV trips on weekdays. Our estimate is in range.
Step 4 — State sensitivities
The biggest levers: (1) assumed Uber penetration rate among residents — changing 15 % to 20 % adds ~150K trips; (2) business-trip assumption; (3) weekday vs weekday variation by season.