
Open data
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Deployed on AWS
Data of trips taken by taxis and for-hire vehicles in New York City. Note: access to this dataset is free, however direct S3 access does require an AWS account. Anonymous downloads are accessible from the dataset's documentation webpage listed below.
Overview
Data of trips taken by taxis and for-hire vehicles in New York City. Note: access to this dataset is free, however direct S3 access does require an AWS account. Anonymous downloads are accessible from the dataset's documentation webpage listed below.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
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Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- PARQUET files containing NYC TLC trip data.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::nyc-tlc
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://nyc-tlc/
Resources
Vendor resources
Support
Contact
Managed By
City of New York Taxi and Limousine Commission
How to cite
New York City Taxi and Limousine Commission (TLC) Trip Record Data was accessed on DATE from https://registry.opendata.aws/nyc-tlc-trip-records-pds .
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WE ARE NO LONGER UPDATING THIS PRODUCT !!!
As of March 2021, all sources except NYT have stopped updating the datasource.