The directory · Florida
Nokomis roof & property reports.
14,936 assessed properties in Nokomis: average roof age ~16 years, 38% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
14,936 Assessed properties
~16 yrs Avg roof age
38% Past 15-yr threshold
52% Permit-backed ages
25% Flood-zone exposure
Browse
Properties in Nokomis.
Showing 9,661 to 9,720 of 14,925 addresses.
- 360 Casalino Dr 10/10
- 360 Daylily Blvd 10/10
- 360 Maraviya Blvd 10/10
- 360 Padova Way 10/10
- 360 Palmaria Ct 10/10
- 360 Toscavilla Blvd 10/10
- 3600 Laurel Rd E 10/10
- 361 Ariano Ave 10/10
- 361 Bocelli Dr 10/10
- 361 Daylily Blvd 10/10
- 361 Palmaria Ct 10/10
- 363 Casalino Dr 10/10
- 363 Padova Way 10/10
- 363 Toscavilla Blvd 10/10
- 364 Acerno Dr 10/10
- 364 Ariano Ave 10/10
- 364 Casalino Dr 10/10
- 364 Daylily Blvd 10/10
- 364 Maraviya Blvd 10/10
- 364 Palmaria Ct 10/10
- 364 Toscavilla Blvd 10/10
- 365 Ariano Ave 10/10
- 365 Bocelli Dr 10/10
- 365 Daylily Blvd 10/10
- 365 Palmaria Ct 10/10
- 366 Padova Way 10/10
- 367 Casalino Dr 10/10
- 367 Padova Way 10/10
- 367 Toscavilla Blvd 10/10
- 368 Acerno Dr 10/10
- 368 Ariano Ave 10/10
- 368 Casalino Dr 10/10
- 368 Daylily Blvd 10/10
- 368 Maraviya Blvd 10/10
- 368 Palmaria Ct 10/10
- 368 Toscavilla Blvd 10/10
- 369 Ariano Ave 10/10
- 369 Bocelli Dr 10/10
- 369 Daylily Blvd 10/10
- 369 Palmaria Ct 10/10
- 371 Casalino Dr 10/10
- 371 Padova Way 10/10
- 372 Ariano Ave 10/10
- 372 Casalino Dr 10/10
- 372 Daylily Blvd 10/10
- 372 Maraviya Blvd 10/10
- 372 Padova Way 10/10
- 372 Palmaria Ct 10/10
- 372 Toscavilla Blvd 10/10
- 373 Ariano Ave 10/10
- 373 Bocelli Dr 10/10
- 373 Daylily Blvd 10/10
- 373 Palmaria Ct 10/10
- 375 Casalino Dr 10/10
- 375 Padova Way 10/10
- 376 Ariano Ave 10/10
- 376 Casalino Dr 10/10
- 376 Daylily Blvd 10/10
- 376 Maraviya Blvd 10/10
- 376 Palmaria Ct 10/10
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About Nokomis reports.
Each address page shows a computed roof score, permit-backed roof age where available, material, FEMA flood zone, wind zone, and a qualitative insurance profile, all from public records.
Coverage rolls out metro by metro, prioritizing addresses with complete county records. Missing addresses join as their county data is ingested.