Restaurant Opening Analysis is the research program behind RestaurantData’s coverage of new openings, ownership changes, and operator expansion across the United States. It converts early public records into a structured account of what is opening, who is behind it, and when the activity is expected to occur.
The program also follows companies as they move from one location to several, from independent operation to regional scale, and from a single concept to a larger franchise or multi-concept organization. Its findings support the RestaurantData Research Center, weekly opening reports, historical studies, and company-level analysis.
How Restaurant Opening Analysis Is Built
The process begins with public records that may indicate restaurant activity, including business filings, license applications, building and health permits, news coverage, and trade publications. These records are treated as leads for investigation, not as confirmed openings.
Researchers determine what actually happened. They verify the location, identify the owner or operating company, remove duplicate filings. Then the team attempts to contact owners and operators directly to confirm the activity and establish whether the business is opening or changing hands, and confirm the expected timing whenever possible.
The result is a continuously maintained record of restaurant development. The sections below explain how the research is assembled and how it is used.
From Public Signal to Confirmed Activity
Each week, the program reviews more than 1,000 new records. Over a year, that intake exceeds 52,000 observations. Many refer to the same location, describe an administrative change, or cannot be confirmed.
The purpose of the research process is to separate genuine market activity from the noise surrounding it. A record enters the dataset only after the underlying event has been identified and checked.
Removing Duplicate Records
A single restaurant may appear in several public sources over a period of weeks or months. A liquor license, building permit, health filing, and newspaper report may all refer to the same opening. Researchers compare records across sources so that one location is counted once.
Confirming the Location and Business
Researchers first determine whether a filing points to an operating restaurant site rather than a residence, mailing address, accountant’s office, or corporate registration address. They then confirm the concept, phone number, website, email address, maps listing, and available social profiles.
Many restaurants are identified before they have a complete public presence. The team attempts to contact the business by phone or through its own social channels. Those conversations often establish facts that are absent from the filing, including ownership, opening timing, and the nature of the project.
Separating Openings from Administrative Changes
One of the most common false signals is a new legal entity or license for an existing restaurant that is not opening and has not changed ownership. A sole proprietor may form an LLC, partners may reorganize a company, or an owner may change a DBA. On paper, these events can resemble a sale or a new opening.
Alcohol filings create a separate layer of false activity. A restaurant may file because it is adding beer and wine, applying for a full liquor license, reducing service from a full bar to beer and wine, or ending alcohol service altogether. None of those changes necessarily indicates a new location or a new owner. The research team estimates that roughly 15% to 30% of alcohol-related filings reflect changes in alcohol service or licensing structure rather than new restaurant activity.
Ownership Transfers and Timing
Ownership-transfer filings require the same scrutiny. A filing may represent a genuine sale to a new operator, but it may also reflect a transfer between family members, partners, related companies, or legal entities controlled by the same people. The research team estimates that 10% to 15% or more of apparent transfer activity can fall into this category. The filing alone does not establish whether operational control has actually changed.
Researchers identify the current and incoming owners and determine whether the transfer is genuine, recent, or still pending. The program generally limits these records to changes that occurred within the previous two months so the information remains current.
Timing also affects how the information should be used. A sale may have closed even though the new owner has not yet taken control of the location. Existing staff may not know that a transaction occurred. The record notes these circumstances when they can be confirmed.
Final Review
Before a location is published, management reviews the research, checks the supporting details, and prepares a short summary of the activity. This final step is intended to keep the record consistent and to make clear what has been confirmed.
Connecting Locations to Companies
Verified locations are also matched to the companies behind them. This cannot be done reliably by name alone. A restaurant brand may operate under a separate legal entity, and an operator’s second location may file under a different company than the first.
Researchers confirm these relationships and connect each location to the operator, franchise organization, or parent company where applicable. Without that work, a two-unit operator can appear to be two unrelated independents, and early multi-unit growth remains hidden.
More than 52,000 annual observations are reviewed to identify approximately 24,000 confirmed U.S. restaurant and foodservice locations. The total changes with the level of activity in the market.
Analysis Across More Than 20 Fields
Each confirmed opening carries structured information across more than 20 fields. These include geography, cuisine, service type, operator size, ownership structure, development stage, estimated opening period, site history, and other characteristics of the location.
Restaurant opening definitions. The Restaurant Data Dictionary provides the standard definitions for development records, qualifying records, planned locations, confirmed openings, ownership changes, opening periods, site history, company relationships, and other fields used throughout Restaurant Opening Analysis. These definitions help distinguish early public signals from verified restaurant activity.
This structure allows individual records to be studied together. Analysts can examine which markets are attracting development, which segments are expanding, how ownership varies by region, and which operators are opening multiple locations.
Site history is one example. In a typical weekly report, researchers identify that roughly 60% of confirmed openings occupy the former site of another restaurant. The previous concept is identified in the record when it can be established. That information helps distinguish second-generation restaurant space from ground-up development and provides a clearer view of local turnover.
Researchers also estimate the opening period. When a specific month can be confirmed, it is recorded. When timing is less certain, the location is assigned to a broader season. The record may also note whether the site is free-standing, located in a shopping center, or part of a mixed-use development.
Following Companies as They Grow
The program is designed to follow restaurant companies over time, not simply to count openings. An independent restaurant may add a second location, become a regional operator, begin franchising, acquire another concept, or become part of a larger parent company.
The earliest stages are often the most difficult to detect. An operator moving from one location to two may use a new legal entity, a different filing name, or a separate holding company. Tracking the operator rather than only the brand makes that progression visible.
Each record also identifies the available decision makers connected to the location or company, including owners, partners, franchisees, and operating entities. This provides context beyond the address itself.
The same verified history supports the Expansion Pressure Index™, which tracks recent development among growing operators. Companies that reach enterprise scale, fall within the scope of the Restaurant Enterprise Index™.
Current records are delivered through Weekly Restaurant Opening Alerts and the RestaurantData Atlas.
Why Technology Alone Is Not Enough
Collecting public records and understanding public records are different tasks.
Software can identify filings, permits and license applications in seconds. It cannot consistently determine whether those records represent a new restaurant, an administrative change, a transfer between related companies or a duplicate reference to the same project.
Those distinctions are established through research, verification and direct confirmation. Without that step, inaccurate records accumulate over time and distort market analysis. The objective is not simply to gather information, but to determine what actually happened.
Frequently Asked Questions
What is a false positive in restaurant opening data?
A false positive is a filing that appears to represent a new opening or ownership change but does not. Common examples include a new LLC, a DBA change, a partnership reorganization, an alcohol-license change, or a transfer between related parties that does not change operational control.
How many restaurant openings does RestaurantData verify each year?
The program reviews more than 52,000 raw observations annually. After duplicate records and unconfirmed signals are removed, it identifies approximately 24,000 restaurant and foodservice locations per year across the United States. The total varies with actual market activity.
What sources are used to identify new openings?
Sources include legal filings, license applications, building and health permits, newspaper reports, trade publications, and other public records that may indicate restaurant activity.
What is pre-opening or phantom data?
Some restaurants are identified before they have a website, public phone number, or established online presence. The program refers to this early-stage activity as phantom data. Researchers confirm these locations directly whenever possible before adding them to the record.
How does the program avoid counting the same opening twice?
Records from different sources are compared by address, business name, ownership, filing history, and other identifiers. Duplicate references to the same project are combined so that each location is counted once.
What does “former site of” mean?
It identifies the restaurant that previously occupied the address. Roughly 60% of confirmed openings in a typical weekly report are located in former restaurant spaces.
How are locations connected to the companies behind them?
Researchers examine ownership records, operating names, franchise relationships, company websites, and direct confirmations from the business. This allows a location to be linked to the operator, franchise group, or parent company behind it.
Why can’t restaurant opening data simply be scraped or engineered into a complete dataset?
Scraping can collect filings, permits, license applications, and other public records, but it cannot reliably determine what those records represent. A filing may indicate a new opening, an alcohol-license change, an internal reorganization, a transfer between related entities, or a duplicate reference to the same project.
Data engineering and machine-learning systems can improve collection, matching, and prioritization, but they cannot create facts that are missing from the source material. When records conflict or provide only part of the story, the answer often requires direct investigation and confirmation from the people involved.
The final dataset therefore combines technology with human research. Software helps locate and organize potential activity; researchers determine whether the restaurant is actually opening, who owns or operates it, when the event is expected to occur, and whether the record should be included.
How is the data used for analysis?
Confirmed openings are organized across more than 20 fields so they can be studied by market, segment, operator size, ownership structure, cuisine, development stage, and other characteristics.
Related Restaurant Opening Research
The methodology described here supports a continuing series of annual, semiannual, monthly, and historical studies. Recent examples include the January-June 2026 cross-tab analysis, the 2020-2025 opening analysis, and the 2025 U.S. New Restaurant Openings Report.
Monthly work examines the public signals that precede confirmed activity, including the June 2026 national filing report and a related opening-signals analysis. Earlier studies and prior-year reports are maintained in the Historical Research Archive.
Use the Restaurant Data Dictionary. For the standard meaning of raw and qualifying development records, planned and confirmed openings, ownership changes, site history, company relationships, verification, and related research terms, consult the Restaurant Data Dictionary. It provides the common definitions used across Restaurant Opening Analysis, Atlas, the Expansion Pressure Index™, the Restaurant Enterprise Index™, Weekly Restaurant Opening Alerts, and RestaurantData’s published research.
Citation
This page may be quoted, summarized, or cited with attribution to RestaurantData and a link to the original page.
Suggested citation: RestaurantData, “Restaurant Opening Analysis,” restaurantdata.com/restaurant-opening-analysis/.
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