Mobile food cuisine breakdown
| Unclassified | 9233 | 100.0% |
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.
Active mobile food9,233
Mobile inspections0
Brick inspections78
Verified code distribution2010=49983, 2014=10857, 2013=1601
Charts
Per-county mobile food density
| Dade | 1705 | 6.31 |
| Hillsborough | 877 | 6.01 |
| Orange | 775 | 5.42 |
| Duval | 596 | 5.99 |
| Lee | 519 | 6.82 |
| Palm Beach | 443 | 2.97 |
| Broward | 442 | 2.27 |
| Polk | 391 | 5.39 |
| Pinellas | 318 | 3.32 |
| Marion | 274 | 7.29 |
| Manatee | 238 | 5.95 |
| Brevard | 203 | 3.35 |
| Osceola | 202 | 5.20 |
| Volusia | 202 | 3.65 |
| Lake | 201 | 5.23 |
| St. Lucie | 175 | 5.32 |
| Pasco | 171 | 3.04 |
| Monroe | 162 | 19.55 |
| Sarasota | 145 | 3.34 |
| Alachua | 113 | 4.06 |
| St. Johns | 97 | 3.55 |
| Collier | 95 | 2.53 |
| Hernando | 85 | 4.37 |
| Seminole | 80 | 1.70 |
| Charlotte | 76 | 4.07 |
| Martin | 64 | 4.04 |
| Citrus | 62 | 4.03 |
| Columbia | 50 | 7.17 |
| Highlands | 41 | 4.05 |
| Clay | 41 | 1.88 |
| Indian River | 39 | 2.44 |
| Putnam | 37 | 5.05 |
| Hendry | 35 | 8.83 |
| Flagler | 35 | 3.03 |
| Okeechobee | 33 | 8.32 |
| Levy | 30 | 6.99 |
| Sumter | 29 | 2.24 |
| Nassau | 27 | 2.99 |
| Desoto | 22 | 6.48 |
| Suwannee | 20 | 4.60 |
| Hardee | 16 | 6.32 |
| Bradford | 12 | 4.24 |
| Hamilton | 12 | 8.57 |
| Lafayette | 8 | 9.73 |
| Dixie | 8 | 4.77 |
| Baker | 7 | 2.48 |
| Union | 6 | 3.72 |
| Glades | 5 | 4.12 |
| Gilchrist | 5 | 2.80 |
| Jackson | 1 | 0.21 |
| Bay | 1 | 0.06 |
| Taylor | 1 | 0.46 |
| Leon | 1 | 0.03 |
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.
License type distribution
| 2010 | 49983 | 78.5% |
| 2014 | 10857 | 17.0% |
| 2013 | 1601 | 2.5% |
| 2015 | 645 | 1.0% |
| 2016 | 578 | 0.9% |
| 2012 | 23 | 0.0% |
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: Inspection data · Turnover trends · 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.