Starbucks Location Data: Complete Store List for Download (2026)
Last updated: March 2026 · 33,414 verified locations · 80 countries
Looking for Starbucks location data? We maintain the most complete dataset available — 33,414 stores across 80 countries. GPS coordinates, operating hours, drive-through status, and more. Starting at $9 per country.
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What's in the dataset?
Each location record contains 20 verified data fields:
- Store identification: Store ID, store number, name
- Full address: Street, city, state/province, ZIP, country
- GPS coordinates: Latitude and longitude (6 decimal precision)
- Contact: Phone number (~91% coverage for US stores)
- Operations: Ownership type (company-operated vs. licensed), open/closed status, average daily hours, days open per week
- Service features: Drive-through availability, in-store service, mobile order & pay
- Spatial analysis: Distance to nearest Starbucks (miles)
Coverage
33,414 Starbucks locations across 80 countries. The largest markets:
| Country | Stores | Price |
|---|
| United States | 14,902 | $49 |
| China | 5,011 | $49 |
| Japan | 1,686 | $49 |
| Canada | 1,323 | $49 |
| United Kingdom | 1,315 | $49 |
| South Korea | 1,310 | $49 |
| + 74 more countries from $9 each |
Why this dataset?
- Most complete: 33,414 locations — 2x more than other providers who cover US only (16,500-16,800 stores)
- Global: 80 countries, not just the US
- Fresh: Updated March 2026 (competitors' free datasets are from 2021-2023)
- Affordable: From $9 per country vs $90-$625 for US-only from competitors
- Ready to use: Clean CSV + Excel, no data cleaning needed
- API available: REST API for programmatic access starting at $29/month
Common use cases
- Site selection: Starbucks presence validates high-traffic retail corridors. Use the data to find your next store location.
- Competitive analysis: Map Starbucks density to find underserved markets or avoid oversaturated areas.
- Real estate: Properties near Starbucks appreciate faster. Use GPS data for proximity analysis.
- Delivery optimization: Plan delivery routes and coverage zones using operating hours and drive-through data.
- Academic research: Geospatial analysis, urban planning, food access studies.
Free vs. paid alternatives
Free Starbucks location datasets exist on GitHub and Kaggle, but they are outdated (most recent: 2022-2023) and lack key fields like operating hours, drive-through status, and nearest-store distance. Our dataset is verified as of March 2026 with 20 enriched fields.