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Fort Lauderdale 33312 roof & property reports.
10,565 assessed properties in Fort Lauderdale 33312: average roof age ~23 years, 43% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
10,565 Assessed properties
~23 yrs Avg roof age
43% Past 15-yr threshold
71% Permit-backed ages
43% Flood-zone exposure
Browse
Properties in Fort Lauderdale 33312.
Showing 481 to 540 of 9,337 addresses.
- 1500 SW 13 Ct 10/10
- 1500 SW 20 Ave 10/10
- 1500 SW 5 Ct 10/10
- 1500 SW 5 St 10/10
- 1501 Herman St Apt 401 10/10
- 1501 Riverland Rd 10/10
- 1501 SW 18 Ave 10/10
- 1501 SW 18 Ter 10/10
- 1501 SW 28 Ave 10/10
- 1501 SW 5 St 10/10
- 1504 SW 5 Ct 10/10
- 1504 SW 5 St 10/10
- 1505 SW 12 Ct 10/10
- 1505 SW 13 St 10/10
- 1505 SW 20 Ave 10/10
- 1505 SW 5 St 10/10
- 1506 Davie Blvd 10/10
- 1506 SW 28 Ter 10/10
- 1507 SW 13 Ct 10/10
- 1508 Argyle Dr 10/10
- 1508 Riverland Rd 10/10
- 1509 SW 12 Ct 10/10
- 1510 SW 14 Ct 10/10
- 1510 SW 15 Ave 10/10
- 1510 SW 25 Ave 10/10
- 1510 SW 37 Ave 10/10
- 1511 SW 13 St 10/10
- 1512 SW 18 Ter 10/10
- 1513 SW 35 Ter 10/10
- 1513 SW 5 Pl 10/10
- 1513 SW 5 St 10/10
- 1514 Davie Blvd 10/10
- 1514 SW 13 St 10/10
- 1514 SW 21 Ter 10/10
- 1515 SW 20 Ave 10/10
- 1515 SW 21 Ter 10/10
- 1515 SW 34 Ave 10/10
- 1516 SE 11 St 10/10
- 1516 SW 14 Ct 10/10
- 1516 SW 22 Ave 10/10
- 1516 SW 28 Ave 10/10
- 1516 SW 28 Way 10/10
- 1516 SW 29 Ter 10/10
- 1516 SW 5 St 10/10
- 1517 SW 12 Ct 10/10
- 1517 SW 19 Ave 10/10
- 1517 SW 29 Ter 10/10
- 1517 SW 30 Ter 10/10
- 1517 SW 5 Ct 10/10
- 1518 SW 12 Ct 10/10
- 1520 SW 15 Ave 10/10
- 1520 SW 20 Ave 10/10
- 1520 SW 22 Ave 10/10
- 1520 SW 25 Ave 10/10
- 1520 SW 37 Ave 10/10
- 1521 Plum St 10/10
- 1521 SW 36 Way 10/10
- 1521 SW 5 Ct 10/10
- 1522 SW 13 Ct 10/10
- 1522 SW 30 Ave 10/10
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Look up a Fort Lauderdale 33312 property.
About Fort Lauderdale 33312 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.