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Quick Service Restaurant US Geo Data
Food & Beverage Consumption
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About
Detailed information pertaining to Dunkin' store locations across the United States. Variables include the physical location provided as both structured address fields and derived latitude/longitude coordinates, along with essential operational data. Key features captured include the store’s phone number, specific daily operating hours for Monday through Sunday, and availability of customer services such as drive-thru, mobile ordering, and curbside pickup options. The data also notes whether the location accepts the Dunkin' Card, uses K-Cup pods, or includes an attached Baskin Robbins facility.
Columns
The dataset contains 22 fields detailing store properties and locations:
- row_id: The unique numerical identifier for the record.
- address_line_1: The primary street address of the store.
- address_line_2: The secondary address line, such as a suite number or specific location type (e.g., 'In Walmart'), where applicable.
- city: The municipality where the store is situated. Examples include Chicago and New York.
- state: The postal code abbreviation for the store’s state. New York (NY) and Massachusetts (MA) are among the most frequently occurring.
- zip: The store's postal code.
- phone: The registered telephone number for the store.
- mon_hrs: The store’s operating hours for Monday.
- tue_hrs: The store’s operating hours for Tuesday.
- wed_hrs: The store’s operating hours for Wednesday.
- thu_hrs: The store’s operating hours for Thursday.
- fri_hrs: The store’s operating hours for Friday.
- sat_hrs: The store’s operating hours for Saturday.
- sun_hrs: The store’s operating hours for Sunday.
- drive-thru: Boolean indicator specifying if the store offers a drive-through facility (True for approximately 60% of locations).
- mobile-order: Boolean indicator specifying if the store supports mobile ordering (True for approximately 84% of locations).
- dunkin-card: Boolean indicator specifying if the store accepts the Dunkin' Card (True for approximately 94% of locations).
- kcup: Boolean indicator specifying if the store utilises K-Cup pods (True for approximately 91% of locations).
- curbside-pickup: Boolean indicator specifying if the store provides a curbside pickup service (True for approximately 17% of locations).
- has-baskin-robbins: Boolean indicator specifying if the location includes an attached Baskin Robbins facility (True for approximately 14% of locations).
- loc_lat: The geocoded latitude coordinate for the store location.
- loc_long: The geocoded longitude coordinate for the store location.
Distribution
The data is provided in a single CSV file, named
dunkin_stores.csv, with a total file size of 2.23 MB. It contains 22 variables across 9,248 distinct records, representing store locations. The geocoding process used to derive latitude and longitude was not successful for roughly 33% of the addresses, resulting in 'N/A' values for those coordinate fields.Usage
Ideal applications include spatial analysis to understand retail clustering and market saturation. It is valuable for location intelligence systems, optimizing delivery and logistics routes, and for market researchers studying the adoption rates of specific quick-service restaurant features (such as drive-thru versus mobile ordering) across different states. The data also supports competitor analysis within the food and beverage industry.
Coverage
The geographic scope includes store locations throughout the United States. The temporal coverage is specific to the period when the data was retrieved, with an expected update frequency of annually. The locations are specific to Dunkin' stores, and the data includes notes on availability for latitude/longitude coordinates, which are missing for a segment of the records.
License
CC0: Public Domain
Who Can Use It
- Data Scientists: For training geographical models or performing cluster analysis on retail points of interest.
- Business Strategists: To assess the company’s physical footprint and identify regions for potential expansion.
- Retail Analysts: For studying operational differences and feature availability (like mobile order support) influencing consumer behaviour.
- Students and Academics: For educational projects related to US consumer geography and retail distribution networks.
Dataset Name Suggestions
- Dunkin' US Store Locations
- Dunkin' Donuts Operating Features
- Quick Service Restaurant US Geo Data
- United States Dunkin' Footprint
Attributes
Original Data Source: Quick Service Restaurant US Geo Data
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