Scrape Number Of Jack In The Box Restaurants Data In USA for Market Analysis

Introduction

The United States quick-service restaurant market continues to evolve through geographic expansion, changing consumer preferences, competitive pricing, and increasingly data-driven location strategies. Jack in the Box remains an important participant in this market, with a substantial restaurant footprint concentrated across selected U.S. states and metropolitan areas. As of November 28, 2025, the dataset analyzed for this report records 2,108 Jack In The Box restaurants across the United States, covering hundreds of cities and thousands of individual location attributes.

Scrape Number Of Jack In The Box Restaurants Data In USA to provide businesses with structured information that can support market sizing, competitor benchmarking, territory analysis, franchise research, and location planning.

The geographic distribution of the chain is highly concentrated. California accounts for 924 restaurants, representing approximately 44% of the total U.S. footprint, while Texas contributes another 548 restaurants, or approximately 26%. Together, these two states account for roughly 70% of all recorded locations.

Jack In The Box Restaurant Data Scraping In USA can capture location-level attributes such as restaurant names, street addresses, cities, ZIP codes, phone numbers, geographic coordinates, operating hours, and update dates.

The concentration of restaurants also creates opportunities for businesses to examine market density at state, city, and neighborhood levels. Arizona, Washington, Nevada, Oregon, Idaho, Hawaii, Missouri, and Utah form additional markets within the reported footprint.

Jack In The Box Restaurant Location Data Extraction can transform individual restaurant listings into structured datasets suitable for geographic analysis, competitive research, visualization, and business intelligence applications.

This report examines the 2025 Jack in the Box restaurant footprint, identifies the largest state markets, analyzes leading cities, and highlights how structured restaurant location data can support commercial decision-making.

Jack In The Box Restaurant Footprint in the United States

The November 28, 2025 dataset identifies 2,108 Jack In The Box restaurant locations across the United States. These restaurants are distributed across hundreds of cities, but the network is not evenly spread across the country.

California is the dominant market, with 924 locations. Its restaurant count is more than 1.6 times the number recorded in Texas, the second-largest market with 548 restaurants. Arizona follows with 167 locations, while Washington has 130.

The distribution demonstrates the importance of regional concentration when evaluating the brand's U.S. footprint. Instead of maintaining an evenly distributed national presence, Jack in the Box has historically maintained stronger penetration in specific western and southwestern markets.

This makes Jack in the Box Restaurant Market Intelligence particularly valuable for companies assessing competitive intensity, franchise opportunities, foodservice demand, and geographic expansion.

State-Level Restaurant Distribution

The figures show how dramatically the Jack in the Box network varies by state. Nevada has 79 restaurants serving a population of approximately 3.08 million, producing one of the highest restaurant densities among the listed states.

California combines the largest absolute restaurant count with a relatively high location density. With 924 restaurants, it alone represents approximately 44% of the recorded national network.

Texas presents a different scale profile. Its 548 locations represent about 26% of the national footprint, while its larger population creates approximately one restaurant for every 52,912 residents.

The Jack in the Box Store Count Data therefore provides more than a simple location total. When restaurant counts are combined with population, geography, city coverage, and market characteristics, businesses can develop a clearer picture of regional restaurant penetration.

Geographic Concentration and Market Opportunities

The reported footprint extends across western, southwestern, southern, and selected central U.S. markets. However, numerous states and territories have no recorded Jack in the Box locations in the supplied dataset.

These include Michigan, Iowa, Mississippi, Florida, West Virginia, Maryland, Wyoming, New Jersey, Wisconsin, Kansas, Maine, Georgia, Rhode Island, Montana, Delaware, Pennsylvania, North Dakota, Connecticut, Minnesota, New Hampshire, Alaska, Massachusetts, Virginia, Arkansas, Vermont, Alabama, Nebraska, and several U.S. territories.

Such geographic gaps can be examined alongside population, competitive restaurant density, consumer demographics, transportation patterns, and local foodservice demand.

A location intelligence platform can further connect restaurant addresses to coordinates, ZIP codes, cities, states, and metropolitan areas. This makes it possible to identify clusters, measure proximity between restaurants, and analyze potential whitespace markets.

For organizations requiring continuously refreshed location information, a Jack In The Box Restaurant Location Data API can support automated delivery of structured restaurant records into internal dashboards, applications, mapping platforms, and analytical systems.

City-Level Jack In The Box Restaurant Concentration

State-level analysis provides a national perspective, but city-level data reveals where the restaurant network is most concentrated within individual markets.

Houston leads the supplied city ranking with 89 Jack in the Box locations. Phoenix follows with 45, while Las Vegas has 44. Los Angeles records 41 locations and Dallas has 39.

These city-level concentrations are important because restaurant competition often operates within metropolitan and neighborhood markets rather than across entire states.

Leading U.S. Cities by Jack In The Box Restaurant Count

Houston's 89 locations make it the largest city-level market in the supplied dataset. Phoenix and Las Vegas form another substantial southwestern concentration, while Dallas, San Antonio, and Fort Worth demonstrate the depth of the Texas network.

California's presence is particularly notable because its statewide footprint is distributed across many cities rather than being represented solely by Los Angeles. San Diego and Bakersfield also appear among the leading city markets.

City-level data enables businesses to move from broad national market sizing toward practical territory analysis. For example, analysts can compare restaurant counts between metropolitan areas, calculate locations per population, map competitive clusters, and identify underserved geographic zones.

What Location-Level Data Contains?

The underlying location dataset contains detailed fields that can be used for restaurant intelligence and geographic analysis. Typical records include restaurant name, street address, city, state, ZIP code, telephone number, latitude, longitude, full address, country, and last updated date.

For example, the supplied sample contains locations in Tolleson, San Francisco, Placentia, Riverside, Honolulu, Tomball, Houston, Dallas, and Chandler.

Coordinates add another analytical layer because they enable restaurants to be plotted on digital maps and grouped according to geographic proximity. Phone numbers can support directory building and business verification, while update dates help users track dataset freshness.

Combining these attributes creates a structured foundation for Food Data Scraping in the USA, allowing restaurant businesses, market researchers, technology providers, investors, and location analysts to work with standardized restaurant records.

Applications of Jack In The Box Restaurant Data

Jack in the Box location information can support several commercial applications.

Competitive Restaurant Benchmarking: Companies can compare Jack in the Box's location density with other quick-service restaurant brands across the same cities and states.

Franchise and Expansion Research: Restaurant groups can examine existing concentrations and geographic gaps before evaluating potential expansion territories.

Location Intelligence: Latitude, longitude, ZIP code, and city information can be integrated with demographic and commercial datasets to evaluate market characteristics.

Delivery and Service-Area Analysis: Restaurant locations can be combined with delivery zones and population data to understand potential service coverage.

Market Sizing: State and city restaurant counts provide a measurable foundation for estimating brand presence within specific geographic markets.

Restaurant Technology and Analytics: Structured location feeds can be incorporated into dashboards, mapping tools, business intelligence systems, and automated monitoring platforms.

In parallel, Restaurant Menu Data Scraping Services can complement location datasets by collecting menu items, prices, categories, nutritional information, and availability where relevant.

The combination of location and menu information can provide a more comprehensive view of restaurant operations, pricing, assortment, and geographic distribution.

Building AI-Powered Restaurant Intelligence

Restaurant datasets are increasingly being used as inputs for advanced analytics and automated decision systems. When location, menu, pricing, customer sentiment, operating hours, and geographic information are structured consistently, organizations can identify patterns that would be difficult to detect through manual research.

AI Restaurant Intelligence can help process large restaurant datasets, identify geographic clusters, monitor changes, classify restaurant attributes, and support automated competitive analysis.

For example, an organization could track changes in restaurant counts over time, detect newly added locations, identify removed locations, compare market penetration, and combine restaurant information with external demographic or economic indicators.

The November 2025 Jack in the Box dataset therefore represents more than a static list of addresses. It can serve as a foundation for longitudinal restaurant market analysis when regularly refreshed.

Conclusion

The November 28, 2025 snapshot records 2,108 Jack In The Box restaurants in the United States, demonstrating a substantial but geographically concentrated quick-service restaurant network. California leads with 924 locations, followed by Texas with 548 and Arizona with 167. These three markets together represent approximately 78% of the locations listed among the leading state markets.

At the city level, Houston leads with 89 restaurants, followed by Phoenix with 45, Las Vegas with 44, Los Angeles with 41, and Dallas with 39. Such concentration provides valuable insights into the geographic structure of the brand's U.S. presence.

Cuisine-wise Menu Data can be combined with location information to create richer restaurant intelligence covering geographic distribution, menu assortment, pricing, and consumer-facing offerings.

Organizations can further strengthen this analysis through Food Data Scraping Services, enabling continuous collection and normalization of restaurant, menu, pricing, location, and competitive data.

Finally, Scrape Restaurant API Data to help businesses integrate structured restaurant intelligence into their own applications, dashboards, analytical workflows, and market-monitoring systems.

Overall, the 2025 Jack in the Box restaurant footprint illustrates how structured restaurant location datasets can support market research, competitive intelligence, expansion analysis, geographic benchmarking, and data-driven foodservice strategy.

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