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 10,381 to 10,440 of 14,925 addresses.
- 712 Ravello Blvd 10/10
- 716 Ravello Blvd 10/10
- 719 Allora Ave 10/10
- 720 Ravello Blvd 10/10
- 723 Allora Ave 10/10
- 724 Ravello Blvd 10/10
- 728 Ravello Blvd 10/10
- 732 Ravello Blvd 10/10
- 736 Ravello Blvd 10/10
- 740 Ravello Blvd 10/10
- 744 Ravello Blvd 10/10
- 748 Ravello Blvd 10/10
- 7501 E Laurel Rd 10/10
- 50 Palm Dr 10/10
- 107 Sorrento Dr 9/10
- 213 Sorrento Dr 9/10
- 229 Sorrento Dr 9/10
- 321 Sorrento Dr 9/10
- 437 Sorrento Dr 9/10
- 10 Castle Dr 9/10
- 100 Jessica St 9/10
- 100 Kenwood Ave 9/10
- 100 Orange Grove Ave N 9/10
- 100 Sierra St N 9/10
- 1000 S Casey Key Rd 9/10
- 1002 Dona Way 9/10
- 101 Emerald Ave S 9/10
- 102 Bainbridge Dr 9/10
- 102 Portia St S 9/10
- 102 River Blvd N 9/10
- 103 Bainbridge Dr 9/10
- 103 Emerald Ave S 9/10
- 104 Pearl Ave S 9/10
- 104 Sunrise Dr 9/10
- 105 Bainbridge Dr 9/10
- 105 River Blvd N 9/10
- 106 Kenwood Ave 9/10
- 106 Verona St S 9/10
- 107 Aquila St N 9/10
- 107 Irene St S 9/10
- 107 Portia St N 9/10
- 107 River Blvd N 9/10
- 107 Verona St N 9/10
- 108 Colonia Ln 9/10
- 108 E Marland Ct 9/10
- 108 Orange Grove Ave N 9/10
- 108 Ravenna St N 9/10
- 1080 Hillcrest Dr 9/10
- 1085 Dona Way 9/10
- 109 Portia St N 9/10
- 110 Nippino Trl W 9/10
- 110 Orange Grove Ave N 9/10
- 110 Ravenna St N 9/10
- 110 Riverview Dr S 9/10
- 110 W Marland Ct 9/10
- 1104 Twin Laurel Blvd 9/10
- 1105 Hillcrest Dr 9/10
- 1107 Twin Laurel Blvd 9/10
- 1109 Dona Way 9/10
- 1109 Twin Laurel Blvd 9/10
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Look up a Nokomis property.
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.