This data set is a list of the number and proportion of different types of restaurant in each electoral county in the United States. It also contains other socio-economic and public health data.

MealMe offers in-depth restaurant menu data, including prices, from the top 100,000 restaurants across the USA and Canada. Our proprietary technology collects accurate, real-time menu and pricing information, enabling businesses to make data-driven decisions in competitive intelligence, pricing optimization, and market research. With comprehensive coverage that spans major restaurant platforms and chains, MealMe ensures your business has access to the most reliable data to excel in a rapidly evolving industry.

Platforms and Restaurants Covered: MealMe's database includes data from leading restaurant platforms such as UberEats, Postmates, ToastTakeout, SkipTheDishes, Square, Appfront, Olo, TouchBistro, and Clover, as well as direct menu data from major restaurant chains including Raising Cane’s, Panda Express, Popeyes, Burger King, and Subway. This extensive coverage ensures a detailed view of the market, helping businesses monitor trends, pricing, and availability across a broad spectrum of restaurant types and sizes.

Key Features: Comprehensive Menu Data: Access detailed menu information, including item descriptions, categories, sizes, and customizations. Real-Time Pricing: Monitor up-to-date menu prices for accurate competitive analysis. Restaurant-Specific Insights: Analyze individual restaurant chains such as Raising Cane’s and Panda Express, or platforms like UberEats, for market trends and pricing strategies. Cross-Platform Analysis: Compare menu items and pricing across platforms like ToastTakeout, Olo, and SkipTheDishes for a holistic industry view. Regional Data: Understand geographic variations in menu offerings and pricing across the USA and Canada.

Use Cases: Competitive Intelligence: Track menu offerings, pricing strategies, and seasonal trends across platforms like UberEats and Postmates or chains like Popeyes and Subway. Market Research: Identify gaps in the market by analyzing menus and pricing from top restaurants. Pricing Optimization: Use real-time pricing data to inform dynamic pricing strategies and promotions. Trend Monitoring: Stay ahead by tracking popular menu items, regional preferences, and emerging food trends. Platform Analysis: Assess how restaurants perform across delivery platforms such as SkipTheDishes, Olo, and Square. Industries Benefiting from Our Data Restaurant Chains: Optimize menu offerings and pricing strategies with detailed competitor data. Food Delivery Platforms: Benchmark menu pricing and availability across competitive platforms. Market Research Firms: Conduct detailed analyses to identify opportunities and market trends. AI & Analytics Companies: Power recommendation engines and predictive models with robust menu data. Consumer Apps: Enhance app experiences with accurate menu and pricing data. Data Delivery and Integration

MealMe offers flexible integration options to ensure seamless access to our comprehensive menu data. Whether you need bulk exports for in-depth research or real-time updates via API, our solutions are designed to scale with your business needs.

Why Choose MealMe? Extensive Coverage: Menu data from 100,000+ restaurants, including major chains like Burger King and Raising Cane’s. Real-Time Accuracy: Up-to-date pricing and menu details for actionable insights. Customizable Solutions: Tailored datasets to meet your specific business objectives. Proven Expertise: Trusted by top companies for delivering reliable, actionable data. MealMe empowers businesses with the data needed to thrive in a competitive restaurant and food delivery market. For more information or to request a demo, contact us today!

This information is derived from inspections of restaurants and other food establishments in Chicago from January 1, 2010 to the present. Inspections are performed by staff from the Chicago Department of Public Health’s Food Protection Program using a standardized procedure. The results of the inspection are inputted into a database, then reviewed and approved by a State of Illinois Licensed Environmental Health Practitioner (LEHP). For descriptions of the data elements included in this set, go to http://bit.ly/tS9IE8
Disclaimer: Attempts have been made to minimize any and all duplicate inspection reports. However, the dataset may still contain such duplicates and the appropriate precautions should be exercised when viewing or analyzing these data. The result of the inspections (pass, pass with conditions or fail) as well as the violations noted are based on the findings identified and reported by the inspector at the time of the inspection, and may not reflect the findings noted at other times. For more information about Food Inspections, go to http://bit.ly/tD91Sb. Data Owner: Chicago Department of Public Health. Time Period: 2010 - Present. Frequency: Data is updated weekly.

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

Find restaurants and businesses supporting local producers, processors and makers by sourcing ingredients grown, made and crafted in Ontario.

This data is collected from participants of the Dine Ontario initiative.

Local county health departments inspect restaurants and other retail food service establishments to make sure that employees follow safe food handling practices and have adequate kitchen facilities. Keep in mind, inspection reports are snapshots of the food handling at the establishment at the time of inspection – conditions may be different when you visit.

Germany HRI: FB: Restaurants & Mobile Food Service data was reported at 97.800 2010=100 in Feb 2018. This records a decrease from the previous number of 100.600 2010=100 for Jan 2018. Germany HRI: FB: Restaurants & Mobile Food Service data is updated monthly, averaging 115.950 2010=100 from Jan 1994 (Median) to Feb 2018, with 290 observations. The data reached an all-time high of 153.400 2010=100 in Jul 1995 and a record low of 81.300 2010=100 in Feb 2010. Germany HRI: FB: Restaurants & Mobile Food Service data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.H019: Hotel and Restaurant Sales Index: 2010=100. Rebased from 2010=100 to 2015=100 Replacement series ID: 403747747

This dataset contains Wake County Restaurant information and location data pulled from Wake County's GIS REST endpoint. For more information see Wake County's webpage.This dataset is updated daily.

Business data includes trade names or business name, address, commercial products or services by the Colorado Department of State (CDOS).

The Restaurant Inspections dataset includes records for food safety inspections conducted by the Detroit Health Department between August 1, 2016 and approximately one month ago. Due to the the inspection process, records in this data set do not reflect inspections started within 30 days of the most recent data update.

Xtract.io's location data for Restaurant Brands International offers a global perspective on brands like Burger King, Tim Hortons, and Popeyes. International franchise developers, market researchers, and global investors can utilize this dataset to analyze cross-border restaurant distribution, identify market opportunities, and develop comprehensive understanding of these iconic brands' geographical strategies.

Point of Interest (POI) data, also known as places data, provides the exact location of buildings, stores, or specific places. It has become essential for businesses to make smarter, geography-driven decisions in today's competitive landscape.

LocationsXYZ, the POI data product from Xtract.io, offers a comprehensive database of 6 million locations across the US, UK, and Canada, spanning 11 diverse industries, including:

-Retail -Restaurants -Healthcare -Automotive -Public utilities (e.g., ATMs, park-and-ride locations) -Shopping malls, and more

Why Choose LocationsXYZ? At LocationsXYZ, we: -Deliver POI data with 95% accuracy -Refresh POIs every 30, 60, or 90 days to ensure the most recent information -Create on-demand POI datasets tailored to your specific needs -Handcraft boundaries (geofences) for locations to enhance accuracy -Provide POI and polygon data in multiple file formats

Unlock the Power of POI Data With our point-of-interest data, you can: -Perform thorough market analyses -Identify the best locations for new stores -Gain insights into consumer behavior -Achieve an edge with competitive intelligence

LocationsXYZ has empowered businesses with geospatial insights, helping them scale and make informed decisions. Join our growing list of satisfied customers and unlock your business's potential with our cutting-edge POI data.

Canada Food Services Sales: Receipts: Full-Service Restaurants data was reported at 3,780,496.000 CAD mn in Dec 2024. This records an increase from the previous number of 3,403,123.000 CAD mn for Nov 2024. Canada Food Services Sales: Receipts: Full-Service Restaurants data is updated monthly, averaging 1,843,438.500 CAD mn from Jan 1998 (Median) to Dec 2024, with 324 observations. The data reached an all-time high of 3,851,653.000 CAD mn in Aug 2024 and a record low of 664,031.000 CAD mn in Apr 2020. Canada Food Services Sales: Receipts: Full-Service Restaurants data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.H022: Food Services Sales. [COVID-19-IMPACT]

Explore the historical Whois records related to restaurant-database.co.uk (Domain). Get insights into ownership history and changes over time.

Dataset from Singapore Food Agency. For more information, visit https://data.gov.sg/datasets/d_1f0313499a17075d13aae6ed3e825bc6/view

Data collected as part of the City of Melbourne's Census of Land Use and Employment (CLUE). The data covers the period 2002-2023. It show business establishments with their trading name, business address, industry (ANZSIC4) classification, number of dining seats (classified by indoor/outdoor), location and CLUE block and small area designation.

For more information about CLUE see http://www.melbourne.vic.gov.au/clue

This set locates the establishments under the responsibility of the Food Inspection Division of the City of Montreal. It should be noted that the City is a mandatary of the Ministère de l'Agriculture, des Pêcheries et de l'Alimentation du Québec (MAPAQ) with respect to inspection on its territory.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The northern region of Idaho features a diverse geographical and cultural landscape with beautiful mountain ranges, pristine lakes, majestic river drainages, rolling hills and expansive prairies, and vibrant urban and rural communities. The flavor and generosity of our regional food system can be found in our small farms and ranches, at our farmers' markets, in our community gardens, farm-to-table restaurants and cafes, artisan beverage establishments, food banks, and other local food outlets. We invite you to take a virtual tour of north Idaho’s food system by clicking through the pages of our Taste of Home local food directory. This regional food system directory and map is a continuous work-in-progress! It was originally designed to showcase the robust local food and agriculture system in the Palouse-Clearwater region of north central Idaho and southeast Washington. We are in the process of expanding the directory and map to cover the ten northern counties of Idaho and select businesses in the adjacent counties of Washington State. Help us grow the map! Submit information about additional Inland Northwest producers, artisans, and local food outlets here. Updates to existing listings are also welcome and appreciated!

.RESTAURANT Whois Database, discover comprehensive ownership details, registration dates, and more for .RESTAURANT TLD with Whois Data Center.

216 Global import shipment records of Restaurants Kitchen with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The dataset, Survey-SR, provides the nutrient data for assessing dietary intakes from the national survey What We Eat In America, National Health and Nutrition Examination Survey (WWEIA, NHANES). Historically, USDA databases have been used for national nutrition monitoring (1). Currently, the Food and Nutrient Database for Dietary Studies (FNDDS) (2), is used by Food Surveys Research Group, ARS, to process dietary intake data from WWEIA, NHANES. Nutrient values for FNDDS are based on Survey-SR. Survey-SR was referred to as the "Primary Data Set" in older publications. Early versions of the dataset were composed mainly of commodity-type items such as wheat flour, sugar, milk, etc. However, with increased consumption of commercial processed and restaurant foods and changes in how national nutrition monitoring data are used (1), many commercial processed and restaurant items have been added to Survey-SR. The current version, Survey-SR 2013-2014, is mainly based on the USDA National Nutrient Database for Standard Reference (SR) 28 (2) and contains sixty-six nutrientseach for 3,404 foods. These nutrient data will be used for assessing intake data from WWEIA, NHANES 2013-2014. Nutrient profiles were added for 265 new foods and updated for about 500 foods from the version used for the previous survey (WWEIA, NHANES 2011-12). New foods added include mainly commercially processed foods such as several gluten-free products, milk substitutes, sauces and condiments such as sriracha, pesto and wasabi, Greek yogurt, breakfast cereals, low-sodium meat products, whole grain pastas and baked products, and several beverages including bottled tea and coffee, coconut water, malt beverages, hard cider, fruit-flavored drinks, fortified fruit juices and fruit and/or vegetable smoothies. Several school lunch pizzas and chicken products, fast-food sandwiches, and new beef cuts were also added, as they are now reported more frequently by survey respondents. Nutrient profiles were updated for several commonly consumed foods such as cheddar, mozzarella and American cheese, ground beef, butter, and catsup. The changes in nutrient values may be due to reformulations in products, changes in the market shares of brands, or more accurate data. Examples of more accurate data include analytical data, market share data, and data from a nationally representative sample. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES 2013-14 (Survey SR 2013-14). File Name: SurveySR_2013_14 (1).zipResource Description: Access database downloaded on November 16, 2017. US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR), October 2015. Resource Title: Data Dictionary. File Name: SurveySR_DD.pdf