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 76660.00 to 229985.00. Open the data table for exact values.
Interactive chart loading; the data table below is the accessible fallback.
| D4 | 229985 |
| D3 | 190879 |
| D2 | 180827 |
| D1 | 156179 |
| D5 | 130984 |
| D7 | 120372 |
| D6 | 76660 |
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 | 229985 | 239378 | 1.04 | 3370 |
| D3 | 190879 | 171539 | 0.90 | 6366 |
| D2 | 180827 | 211603 | 1.17 | 4170 |
| D1 | 156179 | 142853 | 0.91 | 1978 |
| D5 | 130984 | 163540 | 1.25 | 4003 |
| D7 | 120372 | 105676 | 0.88 | 1746 |
| D6 | 76660 | 42825 | 0.56 | 1532 |
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.