Eateries in in New York City Department of Parks & Recreation properties including snack bars, food carts, mobile food trucks, and restaurants.

Graph and download economic data for All Employees: Full-Service Restaurants in New York (SMU36000007072251101A) from 1990 to 2024 about restaurant, NY, services, employment, and USA.

This dataset provides restaurant inspections, violations, grades and adjudication information

The dataset contains every sustained or not yet adjudicated violation citation from every full or special program inspection conducted up to three years prior to the most recent inspection for restaurants and college cafeterias in an active status on the RECORD DATE (date of the data pull). When an inspection results in more than one violation, values for associated fields are repeated for each additional violation record. Establishments are uniquely identified by their CAMIS (record ID) number. Keep in mind that thousands of restaurants start business and go out of business every year; only restaurants in an active status are included in the dataset. Records are also included for each restaurant that has applied for a permit but has not yet been inspected and for inspections resulting in no violations. Establishments with inspection date of 1/1/1900 are new establishments that have not yet received an inspection. Restaurants that received no violations are represented by a single row and coded as having no violations using the ACTION field. Because this dataset is compiled from several large administrative data systems, it contains some illogical values that could be a result of data entry or transfer errors. Data may also be missing. This dataset and the information on the Health Department’s Restaurant Grading website come from the same data source. The Health Department’s Restaurant Grading website is here: http://www1.nyc.gov/site/doh/services/restaurant-grades.page See the data dictionary file in the Attachments section of the OpenData website for a summary of data fields and allowable values.

Graph and download economic data for All Employees: Leisure and Hospitality: Full-Service Restaurants in New York City, NY (SMU36935617072251101SA) from Jan 1990 to Aug 2025 about restaurant, New York, NY, services, employment, and USA.

This statistic shows the revenue of the industry “restaurants and other eating places“ in New York by segment from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of restaurants and other eating places in New York will amount to approximately **** billion U.S. Dollars by 2024.

The Temporary Program, is no longer accepting applications. *Visit Permanent Dining Out website for information: https://www.diningoutnyc.info/ The New York City Open Restaurant is an effort to implement a citywide multi-phase program to expand outdoor seating options for food establishments to promote open space, enhance social distancing, and help them rebound in these difficult economic times. For real time updates on restaurants registered in the program, please visit NYC Open Restaurants dashboard: https://bit.ly/2Z00kn8 ** Please note this Open Restaurant Applications dataset may contain multiple entries (e.g. restaurants submitting 2 or more applications). The Open Restaurants dashboard website containing real time update, noted above, will have fewer total records due to the removal of multiple applications and only list the newest entry.

Montevideo was the city with the highest restaurant prices in Latin America and the Caribbean as of mid-2025. The capital of Uruguay scored **** in the restaurant price index ranking that year.According to the calculation system used for the ranking, this means that people living in this city paid in restaurants around 50 percent less than the inhabitants of New York City, the city used as the base for the index.

Context:

Restaurant inspections for permitted food establishments in NYC. Restaurants are graded on A-F scale with regular visits by city health department.

Content:

Dataset includes address, cuisine description, inspection date, type, action, violation code and description(s). Data covers all of NYC and starts Jan 1, 2010-Aug 29, 2017.

Acknowledgements:

Data was collected by the NYC Department of Health and is available here.

Inspiration:

• Can you predict restaurant closings?
• Are certain violations more prominent in certain neighborhoods? By cuisine?
• Who gets worse grades--chain restaurants or independent establishments?

The Fast Food Restaurants industry in New York is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

The Single Location Full-Service Restaurants industry in New York is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

This statistic shows the revenue of the industry “food and beverage stores“ in New York from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of food and beverage stores in New York will amount to approximately **** billion U.S. Dollars by 2024.

Graph and download economic data for All Employees: Leisure and Hospitality: Food Services and Drinking Places in New York City, NY (SMU36935617072200001SA) from Jan 1990 to Aug 2025 about beverages, New York, NY, food, services, employment, and USA.

Context

Dataset includes check-in, tip and tag data of restaurant venues in NYC collected from Foursquare from 24 October 2011 to 20 February 2012. It contains 3,112 users, 3,298 venues with 27,149 check-ins and 10,377 tips.

Content

1. NY_Restauraunts_checkins.csv {Originally dataset_ubicomp2013_checkins.txt} has two columns. Each line represents a check-in event. The first column is user ID, while the second column is venue ID.

2. NY_Restauraunts_tips.csv {Originally dataset_ubicomp2013_tips.txt} has three columns. Each line represents a tip/comment a user left on a venue. The first and second columns are user ID and venue ID, repsectively. The third column is tip text.

3. NY_Restauraunts_tags.csv {Originally dataset_ubicomp2013_tags.txt} has two columns. Each line represents the tags users added to a venue. The first column is venue ID while the second column is tag set of the corresponding venues. Empty tag sets may exist for a venue if no user has ever added a tag to it.

Acknowledgements

Columns headers, details and file formats added manually.

Source: Scraped from Foursquare and downloaded from: https://sites.google.com/site/yangdingqi/home/foursquare-dataset

• Dingqi Yang, Daqing Zhang, Zhiyong Yu and Zhiwen Yu, Fine-Grained Preference-Aware Location Search Leveraging Crowdsourced Digital Footprints from LBSNs. In Proceeding of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), September 8-12, 2013, in Zurich, Switzerland.
• Dingqi Yang, Daqing Zhang, Zhiyong Yu and Zhu Wang, A Sentiment-enhanced Personalized Location Recommendation System. In Proceeding of the 24th ACM Conference on Hypertext and Social Media (HT 2013), 1-3 May, 2013, Paris, France. Dingqi Yang, Daqing Zhang, Zhiyong Yu, Zhiwen Yu, Djamal Zeghlache.
• SESAME: Mining User Digital Footprints for Fine-Grained Preference-Aware Social Media Search. ACM Trans. on Internet Technology, (TOIT), 14(4), 28, 2014.

Original README included (note that columns were added).

Inspiration

Interesting questions:

• Linkage to additional data.
• Sentiment analysis.
• Recommender systems, prediction of checkins to related venues or tags.
• Use for augmenting other datasets with geospatial or geotemporal data (for that period).

We analyzed 100 New York restaurants on Google Maps to show how reviews affect revenue and ratings, with data-backed steps for quick wins so busy teams act fast.

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

The Chain Restaurants industry in New York is expected to grow an annualized x.x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to x,xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

Comprehensive dataset containing 221 verified Middle Eastern restaurant businesses in New York, United States with complete contact information, ratings, reviews, and location data.

We compared Google Maps and TripAdvisor data for 100 New York restaurants to decide where your review time drives more revenue and split 90 day plans.

The Open Restaurants Inspections dataset contains records of site setup inspections performed throughout the five boroughs of New York City.