The directory · Florida
Oakland Park 33334 roof & property reports.
7,241 assessed properties in Oakland Park 33334: average roof age ~31 years, 61% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
7,241 Assessed properties
~31 yrs Avg roof age
61% Past 15-yr threshold
49% Permit-backed ages
72% Flood-zone exposure
Browse
Properties in Oakland Park 33334.
Showing 541 to 600 of 6,298 addresses.
- 260 NE 60 St 10/10
- 2609 NW 6 Ave 10/10
- 261 NE 35 St 10/10
- 261 NE 40 St 10/10
- 261 NE 41 St 10/10
- 261 NE 43 Ct 10/10
- 261 NE 49 St 10/10
- 261a NE 57 Ct 10/10
- 2625 NE 14 Ave #403 10/10
- 270 NE 42 Ct 10/10
- 270 NE 42 St 10/10
- 270 NE 43 Ct 10/10
- 270 NE 43 St 10/10
- 270 NE 45 St 10/10
- 270 NE 48 Ct 10/10
- 270 NE 49 St 10/10
- 270 NE 56 St 10/10
- 270 NE 57 St 10/10
- 270 NE 60 St 10/10
- 271 E Commercial Blvd 10/10
- 271 NE 34 Ct 10/10
- 271 NE 34 St 10/10
- 271 NE 42 Ct 10/10
- 271 NE 42 St 10/10
- 271 NE 43 St 10/10
- 271 NE 48 Ct 10/10
- 271 NE 49 St 10/10
- 271 NE 57 St 10/10
- 280 NE 34 St 10/10
- 280 NE 35 St 10/10
- 280 NE 41 St 10/10
- 2805 E Oakland Park Blvd #356 10/10
- 281 E Commercial Blvd 10/10
- 281 NE 42 Ct 10/10
- 281 NE 43 Ct 10/10
- 281 NE 43 St 10/10
- 281 NE 48 Ct 10/10
- 281 NE 49 St 10/10
- 2833 NE 24 Ct 10/10
- 2840 S Oakland Forest Dr #2404 10/10
- 285 NE 35 St 10/10
- 2850 Oak Tree Ct 10/10
- 2864 NE 26 St 10/10
- 2899 NE 26 Ct 10/10
- 290 NE 35 St 10/10
- 2900 NE 15 Ter 10/10
- 291 NE 35 Ct 10/10
- 291 NE 51 St 10/10
- 2910 NE 15 Ter 10/10
- 2925 NE 15 Ter 10/10
- 2970 NE 15 Ter 10/10
- 2971 NE 15 Ter 10/10
- 2995 NE 15 Ter 10/10
- 2995 NE 16 Ave 10/10
- 2996 NE 15 Ter 10/10
- 30 NE 45 Ct 10/10
- 30 NE 46 Ct 10/10
- 30 NE 47 Ct 10/10
- 30 NE 48 Ct 10/10
- 30 NE 49 St 10/10
Your address
Look up a Oakland Park 33334 property.
About Oakland Park 33334 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.