Restaurant Health Scores
Health department inspection scores for every restaurant in the country -- the data that Yelp displays and that AI models correlate with foodborne illness outbreaks.
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Find Me This Data →Overview
What Is Restaurant Health Scores?
Restaurant health scores are inspection ratings assigned by local health departments to food service establishments across the country. These standardized numerical scores reflect compliance with health and safety regulations, covering both critical risk factors—such as proper cooking temperatures and food handling—and good retail practices like building infrastructure and cleanliness. Health departments require these scores to be posted visibly inside or outside each restaurant, making them accessible to the public and enabling platforms like Yelp to display them prominently. The scores serve as a critical data source for public health tracking, consumer decision-making, and AI models analyzing patterns in foodborne illness outbreaks.
Market Data
21.5% CAGR (2025–2026)
AI Training Dataset Market Growth
Source: Research and Markets
~230 establishments scored 95+; 162 scored 90–94
Typical Score Distribution (Athens, GA)
Source: Clarke County Environmental Health
Below 70
Failing Score Threshold
Source: Georgia Department of Public Health
1.4% year-over-year
Restaurant Segment Growth (UK Market)
Source: NIQ Hospitality Health Check
Who Uses This Data
What AI models do with it.do with it.
AI/ML Model Training
Health inspection data trains AI systems to predict foodborne illness outbreaks and identify high-risk establishments, correlating violation patterns with public health outcomes.
Consumer Review Platforms
Yelp and similar platforms display health scores alongside user reviews, enabling consumers to factor official safety ratings into dining decisions.
Public Health Agencies
Local and state health departments use aggregated inspection data to monitor compliance trends, allocate inspection resources, and target enforcement efforts.
Restaurant Operators & Managers
Owners and managers use scores to identify operational vulnerabilities, track compliance progress, and understand the distinction between critical violations (foodborne illness risk) and non-critical infractions.
What Can You Earn?
What it's worth.worth.
Research Dataset License
€4,034 – $4,490 USD
AI training dataset pricing from Research and Markets; may vary by volume, scope (county/state/national), historical depth, and API access requirements.
What Buyers Expect
What makes it valuable.valuable.
Complete Inspection Data
All violations categorized by type (risk factor vs. good retail practice), scores, dates, and follow-up inspections required for establishments scoring below 70.
Geographic Coverage & Currency
Data should cover all licensed food service establishments within specified jurisdictions (county, state, or national) with regular updates as new inspections are completed.
Violation Categorization
Clear distinction between critical violations (direct foodborne illness risk like temperature control) and non-critical infractions (building infrastructure, signage) to enable accurate risk modeling.
Establishment Metadata
Restaurant names, addresses, cuisine types, and operating status to enable joining with consumer platforms and geospatial analysis.
Companies Active Here
Who's buying.buying.
Displays official health inspection scores prominently on restaurant listings to inform consumer choices and build trust.
Packages restaurant health data as part of AI training datasets for public health and outbreak prediction models.
Issue, track, and publish inspection scores; use aggregated data for compliance monitoring and resource allocation.
FAQ
Common questions.questions.
What is the difference between a 'risk factor violation' and a 'good retail practice violation'?
Risk factor violations are critical safety issues directly linked to foodborne illness, such as improper cooking temperatures or cross-contamination. Good retail practice violations are non-critical infractions like building infrastructure problems or signage issues. A restaurant with a lower overall score may have fewer foodborne illness risks than one with a higher score but critical violations.
Why do restaurants display health scores, and is it required?
Yes, by law, health department inspection scores must be posted visibly inside or outside each restaurant. These scores inform consumers about compliance with health regulations and enable public health agencies to track industry-wide safety patterns.
How can AI models use restaurant health inspection data?
AI and machine learning systems can analyze historical inspection scores, violation patterns, and types to predict which establishments are at higher risk of foodborne illness outbreaks, identify systemic compliance issues, and help public health agencies prioritize inspections.
What happens if a restaurant receives a failing score?
Any establishment scoring below 70 is considered failing and is required to undergo a follow-up inspection. Restaurant operators typically make corrections and re-inspection to improve their score, as low ratings negatively impact customer trust and business.
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