License records
Official records + calculations Counts and statistics derived from cited public records. Definitions →
Inspection activity, citation spikes, and potential coverage gaps by district.
Inspector-district activity separates restaurant risk from coverage intensity. IRL needs this credibility check: high citation counts can mean risky operators, stricter inspectors, heavier coverage, or all three.
Most-active districts. 7 plotted observations, ranging from 77382.00 to 232898.00. Open the data table for exact values.
Interactive chart loading; the data table below is the accessible fallback.
| D4 | 232898 |
| D3 | 193159 |
| D2 | 182799 |
| D1 | 158412 |
| D5 | 132561 |
| D7 | 121888 |
| D6 | 77382 |
Raw counts mislead -- Putnam County losing 4 places is different from Miami losing 4. Use the rate or per-capita column for defensible comparisons. Methodology details linked above.
| D4 | 232898 | 242047 | 1.04 | 3431 |
| D3 | 193159 | 173198 | 0.90 | 6437 |
| D2 | 182799 | 214422 | 1.17 | 4224 |
| D1 | 158412 | 144980 | 0.92 | 2005 |
| D5 | 132561 | 165577 | 1.25 | 4087 |
| D7 | 121888 | 106916 | 0.88 | 1759 |
| D6 | 77382 | 43146 | 0.56 | 1546 |
Raw counts mislead -- Putnam County losing 4 places is different from Miami losing 4. Use the rate or per-capita column for defensible comparisons. Methodology details linked above.
Data sources: License records. Built from DBPR public inspection records, Florida Sunbiz business filings, and Foursquare/OSS location data. All counts are derived from public records — no estimates or projections unless labeled as forecast.