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 77656.00 to 234421.00. Open the data table for exact values.
Interactive chart loading; the data table below is the accessible fallback.
| D4 | 234421 |
| D3 | 194265 |
| D2 | 183846 |
| D1 | 159582 |
| D5 | 133369 |
| D7 | 122591 |
| D6 | 77656 |
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 | 234421 | 243472 | 1.04 | 3452 |
| D3 | 194265 | 173994 | 0.90 | 6477 |
| D2 | 183846 | 215849 | 1.17 | 4239 |
| D1 | 159582 | 146335 | 0.92 | 2025 |
| D5 | 133369 | 166492 | 1.25 | 4121 |
| D7 | 122591 | 107447 | 0.88 | 1774 |
| D6 | 77656 | 43284 | 0.56 | 1548 |
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.