The directory · Florida
Tampa 33606 roof & property reports.
6,256 assessed properties in Tampa 33606: average roof age ~14 years, 39% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
6,256 Assessed properties
~14 yrs Avg roof age
39% Past 15-yr threshold
49% Permit-backed ages
40% Flood-zone exposure
Browse
Properties in Tampa 33606.
Showing 1,741 to 1,800 of 6,238 addresses.
- 632 Hudson Ave 10/10
- 633 Hudson Ave 10/10
- 633 Ontario Ave 10/10
- 634 Danube Ave 10/10
- 634 Riviera Dr 10/10
- 635 Hudson Ave 10/10
- 635 Marmora Ave 10/10
- 636 Geneva Pl 10/10
- 637 Hudson Ave 10/10
- 638 Geneva Pl 10/10
- 638 Hudson Ave 10/10
- 638 Riviera Dr 10/10
- 64 Bahama Cir 10/10
- 64 Martinique Ave 10/10
- 640 Geneva Pl 10/10
- 641 Geneva Pl 10/10
- 641 Hudson Ave 10/10
- 642 Geneva Pl 10/10
- 642 Riviera Dr 10/10
- 644 Geneva Pl 10/10
- 644 Hudson Ave 10/10
- 645 Geneva Pl 10/10
- 646 Riviera Dr 10/10
- 647 Geneva Pl 10/10
- 648 Geneva Pl 10/10
- 649 Geneva Pl 10/10
- 65 Martinique Ave 10/10
- 650 Geneva Pl 10/10
- 651 Riviera Dr 10/10
- 653 Geneva Pl 10/10
- 653 Riviera Dr 10/10
- 654 Geneva Pl 10/10
- 654 Riviera Dr 10/10
- 655 Riviera Dr 10/10
- 658 Geneva Pl 10/10
- 66 Columbia Dr 10/10
- 66 Martinique Ave 10/10
- 660 Geneva Pl 10/10
- 662 Riviera Dr 10/10
- 663 Riviera Dr 10/10
- 664 Geneva Pl 10/10
- 664 Riviera Dr 10/10
- 665 Riviera Dr 10/10
- 67 Ladoga Ave 10/10
- 67 Martinique Ave 10/10
- 670 Geneva Pl 10/10
- 672 Geneva Pl 10/10
- 675 Geneva Pl 10/10
- 676 Geneva Pl 10/10
- 678 Geneva Pl 10/10
- 68 Bahama Cir 10/10
- 68 Martinique Ave 10/10
- 682 Geneva Pl 10/10
- 686 Geneva Pl 10/10
- 69 Bahama Cir 10/10
- 69 Davis Blvd 10/10
- 69 Martinique Ave 10/10
- 690 Geneva Pl 10/10
- 693 Geneva Pl 10/10
- 694 Geneva Pl 10/10
Your address
Look up a Tampa 33606 property.
About Tampa 33606 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.