NYC Congestion Traffic
NYC Congestion Pricing Traffic Data
New York City's bridges, tunnels and congestion zone form the circulatory system of the largest US metropolitan economy. Daily vehicle volumes through these chokepoints reveal commuter behavior, commercial delivery patterns, tourism flows and the real-time impact of pricing policy. FinzData's Global Macro Pulse road module provides daily traffic counts for every MTA bridge and tunnel, the Manhattan congestion zone entry points, and key PANYNJ crossings. Traders use these series to model toll-revenue bonds, commercial real estate foot traffic, retail sales and congestion-sensitive logistics costs; economists study demand elasticity and mode shift; data scientists build high-frequency nowcasts for NYC economic activity.
Why NYC traffic data matters to markets
The New York metropolitan area is one of the largest regional economies in the world. Vehicle flows across the Hudson and East River crossings, and into the Manhattan central business district, are a high-frequency proxy for white-collar office attendance, tourism spending, last-mile delivery intensity and construction activity. The introduction of congestion pricing adds a policy lever: volume responses reveal price elasticity of demand for auto travel, displacement to outer boroughs, and substitution to transit. Bond investors track toll-revenue trajectories for MTA and PANYNJ debt; REIT analysts correlate entry-zone volumes with office occupancy and retail footfall; logistics firms optimize delivery windows using real-time congestion patterns.
- Daily volumes for all MTA bridges and tunnels
- Manhattan congestion zone entry-point counts
- PANYNJ Hudson River crossings (George Washington Bridge, Lincoln Tunnel, Holland Tunnel)
- Point-in-time vintages for policy-impact backtests
What the data shows
The NYC road dataset covers daily vehicle counts by crossing, direction, vehicle class (passenger, commercial, motorcycle) and payment type (E-ZPass, Tolls by Mail, congestion pricing). Fields include timestamped hourly aggregates, peak/off-peak splits, and zone-entry detection for the congestion pricing zone. The series are delivered with point-in-time semantics: each daily snapshot preserves the information set available on that date, so you can backtest policy-impact models without look-ahead bias. You can measure the immediate volume drop on pricing launch day, the gradual adaptation over weeks, and the differential impact by vehicle class and time of day.
- Hourly and daily aggregates by crossing, direction and vehicle class
- Payment-type breakdown (E-ZPass, Tolls by Mail, congestion fee)
- Congestion zone entry-point detection
- Vintage-preserving schema for rigorous backtesting
How to use it
Access the data through your FinzData API key with the MCP tool get_global_pulse or call GET https://api.finzdata.com/v1/pulse/road?match=NAME. Filter by crossing name, date range, vehicle class, or payment type. Join with the 16,000+ US equity universe, 5,100+ ETFs, 139 futures markets and 18,000+ macro series on the same key to build cross-asset signals — for example, long MTA revenue bonds when commercial vehicle volumes exceed seasonal norms, or short Manhattan retail REITs when zone-entry volumes diverge from subway ridership. The point-in-time structure lets you simulate exactly what a strategy would have seen in real time.
- Filter by crossing, vehicle class, payment type, date
- Join with equities, ETFs, futures and macro on one key
- Point-in-time rows eliminate look-ahead bias
Ask your AI
Use the FinzData connector in Claude, ChatGPT or Grok to ask questions in natural language. Example prompts:
- Using FinzData, show me daily Manhattan congestion zone entry volumes since launch and compare to pre-launch baseline.
- Using FinzData, compute the elasticity of GWB commercial traffic to the congestion fee using the first 90 days of data.
- Using FinzData, correlate Lincoln Tunnel off-peak volumes with NYC hotel occupancy and restaurant reservation indices.
Get the data
NYC congestion pricing traffic is part of FinzData Global Macro Pulse. Buy the full suite — every dataset and full history — for a one-time $195 at Get Global Macro Pulse, $195. Prefer just the Road & toll traffic theme? Subscribe for $29. Add Pulse for $145 alongside any other data purchase. Every API key gets the last 30 days free.
Frequently asked questions
Which crossings are covered?
All MTA bridges and tunnels, Manhattan congestion zone entry points, and PANYNJ Hudson River crossings (George Washington Bridge, Lincoln Tunnel, Holland Tunnel).
Is vehicle class breakdown available?
Yes. Counts are separated by passenger, commercial and motorcycle classes.
Does the data include payment type?
Yes. E-ZPass, Tolls by Mail and congestion pricing fee payments are distinguished.
Is the data point-in-time?
Every row preserves the information set known on that date, enabling look-ahead-free backtests.