Restaurant Opening Analysis is the research program at the center of everything RestaurantData publishes through the RestaurantData Research Center. It is the process by which raw, unverified signals of restaurant activity become a continuously verified record of who is opening, expanding, and building across the United States.
The program exists to answer a question most restaurant databases cannot: not simply where restaurants are today, but which companies are being born, and how they grow from a single location into multi-unit operators, franchise organizations, and multi-concept enterprises.
From Signal to Verified Record
Each week, RestaurantData ingests more than 1,000 new inputs: legal filings, license applications, building and health permits, newspaper articles, trade publications, and other publicly available signals of restaurant activity. Across a year, that raw intake exceeds 52,000 observations.
Raw volume is not data. Most of those 52,000 annual observations are duplicates, cross-filings of the same location under different filing types, or signals that cannot be verified. RestaurantData does not manufacture data, and does not leave anything out. Every observation is worked through the same process before it becomes part of the research record.
Deduplication
A single new restaurant frequently appears across multiple filing types over days, weeks, or months. A liquor license, a building permit, and a health department filing may all reference the same location. The research team checks each observation against the others to remove duplicates within a filing type and across filing types, so that one opening is counted once.
Verification
What remains is verified rather than assumed. Researchers look up the address, examine what previously occupied the site, and work to identify contact information for both the operator and the new location. Because much of this data is pre-opening, it is often what RestaurantData calls phantom activity: a location with no footprint yet, no website, sometimes no phone number and no email. Where a footprint exists, researchers confirm it. Where an independent operator appears to have no known affiliation, a researcher may reach out directly, by phone or through social channels, to confirm the filing is real and not bogus.
Organization
Verified openings are then organized so that patterns become visible. When a single brand name generates ensuing filings across multiple markets, or when a name connects back to an existing operator, staff investigate the relationship further. This is where individual openings resolve into companies, and where a location becomes attached to the operator, franchise organization, or parent company behind it.
After this process, the roughly 52,000 raw annual observations resolve to a net of approximately 24,000 verified US locations each year. The number varies year to year because the underlying activity varies. RestaurantData reports what the verified record shows, using the earliest legal means available to observe a restaurant as it comes into existence.
Analysis Across More Than Twenty Dimensions
Once verified and organized, each opening carries structured detail that lets analysts sort, filter, and study activity across more than twenty distinct fields. These include operator size, geography, cuisine, service segment, ownership structure, development stage, site history, and opening characteristics, among others.
This structure is what turns a stream of individual openings into analysis. It supports study of how development activity concentrates by market, which segments are expanding, how ownership structures differ across regions, and which operators are accelerating. Patterns that are impossible to see in any single filing become measurable across the verified record.
Following Companies Through Their Life Cycle
The purpose of the program is not to catalog openings in isolation. It is to find a restaurant company at the moment it is born, and to follow it through the benchmarks of its development.
An independent location becomes a two-unit operator. A two-unit operator grows into a regional chain. A regional chain becomes a franchise organization, acquires additional concepts, or is absorbed into a larger parent company. RestaurantData tracks that progression continuously, from a single unit upward through multi-unit and multi-concept scale.
That continuity is what feeds the rest of the Research Center. Verified expansion behavior observed through Restaurant Opening Analysis is what drives the Expansion Pressure Index™, which identifies operators demonstrating concentrated recent development. As companies scale, generally past 100 units, they enter the scope of the Restaurant Enterprise Index™. Both indexes rest on the same verified foundation built here.
The verified weekly output of this program is delivered to subscribers through Weekly Restaurant Opening Alerts and the Atlas research platform.
Frequently Asked Questions
How many restaurant openings does RestaurantData verify each year?
RestaurantData ingests more than 52,000 raw observations annually and, after deduplication and verification, resolves them to a net of approximately 24,000 verified restaurant and foodservice locations per year across the United States. The exact number varies year to year with actual market activity.
What sources does RestaurantData use to identify new openings?
Openings are identified from publicly available signals, including legal filings, license applications, building and health permits, newspaper articles, trade publications, and other original sources. RestaurantData works from the earliest legal means available to observe a restaurant as it comes into existence.
What is pre-opening or phantom data?
Much restaurant activity is observed before a location opens, when it has little or no public footprint: no website, and sometimes no phone number or email. RestaurantData calls this phantom activity. Where possible, researchers confirm these locations directly before they enter the verified record.
How does RestaurantData avoid counting the same opening twice?
A single new restaurant often appears across multiple filing types over time. Every observation is checked against others to remove duplicates within and across filing types, so each opening is counted once.
How is opening data used for analysis?
Each verified opening carries structured detail across more than twenty fields, including operator size, geography, cuisine, service segment, ownership structure, and development stage. Analysts use these fields to study development patterns by market, segment, and operator.
Questions regarding research methodology, coverage, or subscription access may be directed through the RestaurantData Contact page.