Graph and download economic data for Current Delivery Time; Percent Reporting Decreases for New York (DTCDSA156MSFRBNY) from Jul 2001 to Nov 2025 about deliveries, NY, percent, and manufacturing.

CONTEXT

The number of restaurants in New York is increasing day by day. Lots of students and busy professionals rely on those restaurants due to their hectic lifestyles. Online food delivery service is a great option for them. It provides them with good food from their favorite restaurants. A food aggregator company FoodHub offers access to multiple restaurants through a single smartphone app.

The app allows the restaurants to receive a direct online order from a customer. The app assigns a delivery person from the company to pick up the order after it is confirmed by the restaurant. The delivery person then uses the map to reach the restaurant and waits for the food package. Once the food package is handed over to the delivery person, he/she confirms the pick-up in the app and travels to the customer's location to deliver the food. The delivery person confirms the drop-off in the app after delivering the food package to the customer. The customer can rate the order in the app. The food aggregator earns money by collecting a fixed margin of the delivery order from the restaurants.

OBJECTIVE

The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to get a fair idea about the demand of different restaurants which will help them in enhancing their customer experience. Suppose you are hired as a Data Scientist in this company and the Data Science team has shared some of the key questions that need to be answered. Perform the data analysis to find answers to these questions that will help the company to improve the business.

This statistic shows the revenue of the industry “couriers and express delivery services“ in New York from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of couriers and express delivery services in New York will amount to approximately ******* million U.S. Dollars by 2024.

Comprehensive dataset containing 809 verified Pizza delivery businesses in New York, United States with complete contact information, ratings, reviews, and location data.

In 2023, there were ******* births in New York, of which a third were delivered by cesarean section. Furthermore, in this U.S. state, almost one out of ten babies were delivered preterm in 2023. This statistic shows the percentage of preterm birth and cesarean delivery in New York in 2023.

This dataset contains the number of New York State live births stratified by county of residence and method of delivery. The data presented here may not be the same as the Vital Statistics tables on the DOH public web due to data updates. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.

Capturing real-world data is critical to reducing the barriers to vehicle decarbonization and technology advancement for commercial vehicles. FleetREDI’s insights provide detailed duty cycle information and highlight unique aspects of the given dataset. Each insight delivers a quick look at the collected data by summarizing the operation and identifying key findings of the initial analysis. This FleetREDI insight explores beverage delivery tractors operating in New York City. Last-mile beverage delivery supports local bars and restaurants throughout Manhattan and the broader New York City area. Manhattan Beer Distributors is a beverage delivery company operating in Manhattan and the Bronx. Logging devices were installed in 17 vehicles, and operational data were collected between August and October 2022. Two types of vehicles were included in data collection: 7 tractors and 10 bay trucks. Using NREL’s FleetREDI data platform, this dataset provides a summary of daily operation to help understand duty cycle characteristics. This includes daily distance, fuel use, and estimated engine-produced energy consumption for 17 bay trucks and tractors that operated more than 7,500 miles in slow-speed urban operation.

Graph and download economic data for Future Delivery Time; Percent Expecting Decreases for New York (DTFDSA156MSFRBNY) from Jul 2001 to Nov 2025 about deliveries, NY, percent, and manufacturing.

The battle for supremacy between specialist food delivery services continued across the United States in 2018. With a market share of ** percent, Grubhub was ranked as the leading service, while competitors Uber Eats and DoorDash were ranked second and third, respectively.

Is technology transforming food delivery? In 2018, around ** percent of adults in the United States used online ordering to have their food delivered. The use of mobile delivery apps is growing, particularly among young adults, but the leading method of ordering food for delivery was via the restaurant’s own delivery service. The boom in food delivery has led to soaring revenues for some of the largest delivery companies: the worldwide revenue of Grubhub nearly doubled between 2017 and 2019.

Big spenders in the Big Apple In 2019, New Yorkers spent the most per capita on food delivery in the United States – consumers in the city spent around *** U.S. dollars per capita more than those in San Francisco. In 2017, Grubhub was the leading takeout food delivery service in New York, with an overwhelming market share. However, consumers in San Francisco favored another delivery service: Caviar. The company had a market share of **** percent in the Californian city, whereas its market share in New York was only *** percent.

This line chart compares the median cost vs. median charge for cesarean deliveries with a minor severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset..

Severe maternal morbidity (SMM) refers to life-threatening complications of labor and delivery that result in significant short- or long-term health consequences. SMM data are derived from linking NYC birth certificates for births occurring at NYC facilities with the mother's delivery hospitalization record from the New York Statewide Planning and Research Cooperative System. SMM is identified using an established algorithm developed by the Centers for Disease Control and Prevention that comprises 21 indicators that represent diagnoses of serious complications of pregnancy or delivery or procedures used to manage serious conditions. Each record represents the aggregated number and rate of SMM events in the population group specified for the year specified.

This dataset contains information on the names and locations of evidence-based self-management programs delivered by QTAC-NY partners, including street address, city, state, zip code, county, and Delivery System Reform Incentive Payment (DSRIP) Program region. It also contains information about the capacity of each implementation site to deliver specific self-management programs. The data will be updated on a yearly basis.

Content

NYC Health + Hospitals is the largest municipal health care system in the country serving more than one million New Yorkers every year. The City’s public health care delivery system provides trauma, emergency, medical, mental health and substance abuse services across the five boroughs. This is a list of the public hospitals, skilled nursing facilities, and some of the community-based health centers that are part of the NYC Health + Hospitals system as of 2011.

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated monthly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Comprehensive dataset containing 7 verified ReadyRefresh - Contactless Delivery Available! locations in New York, United States with complete contact information, ratings, reviews, and location data.

Current Delivery Time; Diffusion for New York was 0.00000 Index in April of 2025, according to the United States Federal Reserve. Historically, Current Delivery Time; Diffusion for New York reached a record high of 38.00000 in October of 2021 and a record low of -26.90000 in November of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Current Delivery Time; Diffusion for New York - last updated from the United States Federal Reserve on November of 2025.

United States Diffusion Index: sa: New York Fed: Future Delivery Time: Higher data was reported at 14.500 NA in Jul 2018. This records a decrease from the previous number of 17.800 NA for Jun 2018. United States Diffusion Index: sa: New York Fed: Future Delivery Time: Higher data is updated monthly, averaging 10.100 NA from Jul 2001 (Median) to Jul 2018, with 205 observations. The data reached an all-time high of 23.600 NA in Feb 2018 and a record low of 2.300 NA in Feb 2009. United States Diffusion Index: sa: New York Fed: Future Delivery Time: Higher data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s USA – Table US.S009: Empire State Manufacturing Survey.

Content

Summary of utility base rate changes since 1998 for major NYS utilities.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated annually.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by American Public Power Association on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Comprehensive dataset containing 2,337 verified Delivery Restaurant businesses in New York, United States with complete contact information, ratings, reviews, and location data.

Current Delivery Time; Percent Reporting Increases for New York was 16.30% in November of 2025, according to the United States Federal Reserve. Historically, Current Delivery Time; Percent Reporting Increases for New York reached a record high of 44.40 in October of 2021 and a record low of 2.20 in April of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for Current Delivery Time; Percent Reporting Increases for New York - last updated from the United States Federal Reserve on November of 2025.

This dataset contains information reported by hospitals required to be compliant with New York State’s Maternity Information Law. This information can help you to better understand what to expect, to learn more about your childbirth choices, and to plan for your baby’s birth.