New York City’s restaurant inspection system has a reputation for being harsh. It’s earned. But it’s also one of the most transparent and data-rich inspection systems in the country — once you get past the part where the scoring is upside down.
The Backwards Scale
In most cities, a restaurant starts at 100 and loses points for violations. Higher is better. Intuitive.
NYC does it the other way. You start at zero. Every violation adds penalty points. A score of 0–13 is an A — meaning the inspector found little to nothing. Fourteen or more triggers a re-inspection. Three inspections above 28 points and the city can close you down.
So in New York, a score of 8 is excellent. A score of 35 is a serious problem. If you’re used to reading restaurant scores the normal way, this will trip you up.
We normalize NYC’s data to our own 0–100 scale so that a high score always means a clean record, same as every other city on the site. But if you ever look at the raw city data, remember: in New York, low is good.
Pass With Conditions
NYC has a designation that most cities don’t: “pass with conditions.” It sits between a clean pass and a full failure. The inspector found enough to flag but not enough to fail. The restaurant gets a chance to correct the issues, usually with a follow-up visit.
We treat pass with conditions as a pass — because it is one. But we display it differently and factor the associated violations into the score. A restaurant with ten consecutive “pass with conditions” results looks very different from one with ten clean passes, even though both technically have a 100% pass rate.
This middle designation is one of the genuinely useful innovations in how cities report inspection outcomes. A binary pass/fail loses nuance. NYC’s three-tier result preserves it.
The Punitive Reputation
NYC inspects aggressively and documents thoroughly. The city’s open data portal publishes violation-level detail for every inspection — what was found, how it was categorized, how many penalty points it carried. The dataset is updated regularly and goes back years.
The result is that NYC restaurants tend to have denser, more detailed inspection histories than restaurants in most other cities. That density gives our scoring model more to work with, which generally means more accurate scores. But it also means that a restaurant in New York is more likely to have something in the record, simply because inspectors document at a finer grain.
NYC’s system has its critics — restaurant owners have argued that the scoring is punitive, that the re-inspection cycle is stressful, and that the letter-grade display puts too much emphasis on a single visit. But from a data perspective, it’s one of the best systems we work with. The information is detailed, consistent, and public.
Whether the system is too harsh is a policy question. Whether it produces useful data isn’t. It does.
Every score on Eat or Beat is computed from public health-department records. We don’t visit restaurants. We don’t accept payments from restaurants. We translate what’s already on file.