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Discover insights into Starbucks store distribution data across the US. Analyze locations, market trends, and growth patterns to understand Starbucks' expansion strategy.
Coffee is deeply embedded in American culture, with Starbucks standing out as a leading figure in the coffee shop market.
This report examines Starbucks store distribution data across the United States, providing insights into the company's store location strategy, presence in key markets, and trends in urban retail expansion.
As of March 10, 2025, Starbucks operates 17,015 stores across the United States.
This extensive retail footprint mapping reflects the brand's strong market penetration and accessibility, catering to millions of coffee lovers daily.
| State | Number of Stores | % of Total Stores |
|---|---|---|
| California | 3,170 | 18.6% |
| Texas | 1,785 | 10.5% |
| Florida | 1,450 | 8.5% |
| New York | 1,320 | 7.8% |
| Illinois | 860 | 5.1% |
| Other States | 8,430 | 49.5% |
This Starbucks store distribution data highlights California as the leading market, with nearly one in five Starbucks locations situated in the state.
A key trend in coffee shop market analysis is the rise of drive-thru location insights, catering to convenience-driven customers.
In 2025, over 65% of Starbucks locations now include drive-thru services, particularly in suburban and high-traffic highway areas.
This shift reflects Starbucks’ focus on retail footprint mapping, ensuring accessibility for busy commuters and on-the-go consumers.
| Year | % of Starbucks Stores with Drive-Thru | Total Drive-Thru Locations |
|---|---|---|
| 2020 | 55% | 9,500 |
| 2023 | 60% | 10,800 |
| 2025 | 65% | 11,900 |
This increase in drive-thru locations aligns with Starbucks' store location strategy, adapting to consumer preferences for faster and more convenient service.
| Store Type | Average Daily Customers | Average Revenue Per Store |
|---|---|---|
| Drive-Thru | 800 | $7,200 |
| Non-Drive-Thru | 550 | $5,300 |
With drive-thru stores generating 35% more revenue, Starbucks is strategically expanding these locations in suburban areas, reflecting urban retail expansion trends.
By leveraging Starbucks store distribution data and Point-of-Interest (POI) data analytics, businesses can analyze market shifts, optimize their retail footprint mapping, and stay competitive in the evolving coffee industry.
An analysis of Starbucks store distribution data across various states reveals a strategic store location strategy tailored to population density, economic activity, and consumer demand.
| State | Number of Stores | % of Total Starbucks Locations | Population per Store |
|---|---|---|---|
| California | 3,170 | 18.6% | 12,500 |
| Texas | 1,785 | 10.5% | 16,200 |
| Florida | 1,450 | 8.5% | 15,000 |
| New York | 1,320 | 7.8% | 14,800 |
| Illinois | 860 | 5.1% | 18,400 |
| Washington | 810 | 4.7% | 10,200 |
| Pennsylvania | 780 | 4.6% | 17,100 |
| Ohio | 750 | 4.4% | 16,900 |
| Georgia | 725 | 4.3% | 15,800 |
| North Carolina | 700 | 4.1% | 17,500 |
Starbucks' urban retail expansion trends focus on growing markets with high foot traffic.
Leveraging retail data scraping services helps businesses track store location strategy, consumer preferences, and competitive positioning.
With Starbucks' continued investment in tech city retail presence, their retail footprint mapping remains a key factor in market leadership.
Examining Starbucks' retail location intelligence in major coffee-centric cities highlights its strategic positioning in urban hubs with high consumer demand.
| City | Number of Stores | Stores per 100,000 People | % with Drive-Thru |
|---|---|---|---|
| Seattle, WA | 90 | 11.5 | 40% |
| New York, NY | 240 | 2.8 | 15% |
| Los Angeles, CA | 185 | 4.5 | 35% |
| Chicago, IL | 150 | 5.6 | 38% |
| San Francisco, CA | 105 | 6.2 | 30% |
| Portland, OR | 72 | 8.9 | 50% |
| Miami, FL | 88 | 7.1 | 45% |
| Houston, TX | 125 | 5.2 | 55% |
| Boston, MA | 98 | 7.4 | 33% |
| Washington, D.C. | 85 | 8.0 | 28% |
This coffee shop market analysis highlights Starbucks' approach to balancing urban retail expansion trends with drive-thru location insights, ensuring optimal coverage in both high-density cities and suburban markets.
Starbucks has strategically expanded in technology-driven urban centers, where high-income professionals and fast-paced lifestyles fuel coffee demand.
By leveraging retail footprint mapping and Point-of-Interest (POI) data analytics, Starbucks optimizes its store location strategy in major tech hubs.
| City | Number of Stores | Tech Industry Workforce | % Change in Store Count (2023-2025) | % with Drive-Thru |
|---|---|---|---|---|
| San Francisco, CA | 110 | 430,000+ | +5% | 30% |
| San Jose, CA | 50 | 280,000+ | -10% | 40% |
| Seattle, WA | 90 | 350,000+ | +3% | 40% |
| Austin, TX | 75 | 200,000+ | +8% | 55% |
| Boston, MA | 98 | 180,000+ | +6% | 33% |
This focus on tech city retail presence demonstrates Starbucks' ability to track economic growth, adapt store strategies, and leverage retail data scraping services to refine its urban retail expansion trends for sustained market dominance.
Starbucks' expansive and strategically placed network of stores across the U.S. showcases its sophisticated approach to retail location intelligence.
By leveraging coffee shop market analysis and Starbucks store distribution data, the company continuously optimizes its locations to meet consumer demand and enhance accessibility.
One of the key factors driving Starbucks' retail footprint mapping is its reliance on Point-of-Interest (POI) data analytics.
By analyzing foot traffic, commuter patterns, and local demographics, Starbucks ensures store placement in high-traffic commercial areas, suburban hubs, and emerging urban markets.
Additionally, the rise of drive-thru location insights has influenced Starbucks’ expansion strategy.
As of 2025, 65% of Starbucks stores feature drive-thrus, particularly in suburban and highway locations, catering to on-the-go customers.
This shift reflects changing consumer behaviors, prioritizing convenience and speed.
By combining data-driven insights with flexible store placement strategies, Starbucks continues to dominate the U.S. coffee market.
The brand’s adaptive retail strategy enables it to thrive in both tech-centric cities and suburban growth areas, solidifying its presence as a leader in the coffee shop market analysis landscape.
Gaining insights from Starbucks store distribution data highlights the importance of urban retail expansion trends and strategic store location strategy.
Businesses looking to enhance their retail footprint mapping can leverage retail data scraping services to access real-time location intelligence and market trends.
By utilizing retail location intelligence and Point-of-Interest (POI) data analytics, companies can identify high-traffic areas, competitor positioning, and consumer behavior patterns.
This data-driven approach helps optimize site selection, improve market penetration, and enhance sales potential.
At Actowiz Solutions, we provide cutting-edge retail data scraping services to equip businesses with actionable insights.
Whether you’re tracking drive-thru location insights, studying coffee shop market analysis, or planning your next expansion, our solutions empower you with precise, up-to-date data.
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