Why DOH inspectors come in waves: the data behind the pattern

The headline number

93.4% of NYC DOH inspections in the 90-day window had at least one other inspection in the same neighborhood within a 7-day window. Only 6.6% were 'true loners.' Said differently: if a restaurant on your block gets inspected today, there's a 93% chance another inspection lands in your neighborhood within a week. That's not a faint pattern — it's the dominant pattern. Inspector batching by geographic zone is structural, not accidental.

The lead-time question

For each inspection, we measured the gap to the next same-neighborhood inspection. 47.6% of follow-ups landed the same day. 11.6% landed the next day. 14.8% landed 2-3 days later. 15.4% landed 4-7 days later. Only 10.6% took more than a week. Cumulatively: 74% of next-inspection events happen within 3 days; 89% happen within 7. That's enough lead time to walk the line, brief staff, fix any obvious issues, and verify documentation — but it's not enough lead time if you're learning about it from the news after the fact.

Why this happens (educated guess)

NYC has roughly 150 DOH inspectors covering 25,000+ restaurants annually. Each inspector is assigned a geographic territory. Travel time between inspections is real overhead. If an inspector is already in a neighborhood, batching 3-6 establishments before moving on is the obvious efficient pattern. The data is consistent with that operational reality. We can't see inspector schedules directly — we just see the public inspection result feed. The clustering pattern in the timestamps is the visible shadow of the routing.

Get pushed when it happens near you

Real-time food safety alerts from 25+ government sources. AI-scored by urgency. Less than one bad meal a month — $4.99/mo.