The directory · Florida
Miami 33133 roof & property reports.
6,458 assessed properties in Miami 33133: average roof age ~36 years, 58% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
6,458 Assessed properties
~36 yrs Avg roof age
58% Past 15-yr threshold
39% Permit-backed ages
8% Flood-zone exposure
Browse
Properties in Miami 33133.
Showing 541 to 600 of 6,441 addresses.
- 2665 Inagua Ave 10/10
- 2670 SW 17 Ave 10/10
- 2680 Hilola St 10/10
- 2680 SW 29 Pl 10/10
- 2680 SW 34 Ave 10/10
- 2690 Hilola St 10/10
- 2695 SW 17 Ave 10/10
- 2700 SW 29 Ct 10/10
- 2700 SW 37 Ave 10/10
- 2701 SW 17 Ave 10/10
- 2701 SW 30 Ave 10/10
- 2705 Hilola St 10/10
- 271 E Shore Dr 10/10
- 2710 Hilola St 10/10
- 2711 SW 29 Ct 10/10
- 2712 Hilola St 10/10
- 2715 SW 32 Ave 10/10
- 2717 SW 31 Ave 10/10
- 2717 SW 31 Ct 10/10
- 2717 SW 32 Ave 10/10
- 272 E Shore Dr 10/10
- 2720 SW 29 Ave 10/10
- 2720 SW 37 Ave 10/10
- 2721 Natoma St 10/10
- 2723 SW 31 Pl 10/10
- 2724 SW 30 Ave 10/10
- 2724 SW 34 Ct 10/10
- 2725 SW 22 Ave 10/10
- 2727 Hilola St 10/10
- 2728 Kirk St 10/10
- 2728 SW 28 Ave 10/10
- 2730 SW 17 Ave 10/10
- 2730 SW 29 Ct 10/10
- 2731 SW 22 Ave E 10/10
- 2731 SW 28 Ct 10/10
- 2731 SW 30 Ave 10/10
- 2733 SW 22 Ave 10/10
- 2734 SW 36 Ave 10/10
- 2735 SW 36 Ave 10/10
- 2740 Kirk St 10/10
- 2740 SW 25 St 10/10
- 2740 SW 31 Ave 10/10
- 2741 SW 27 St 10/10
- 2741 SW 29 Ct 10/10
- 2742 Coacoochee St 10/10
- 2743 SW 32 Ave 10/10
- 2744 SW 34 Ave 10/10
- 2744 SW 36 Ave 10/10
- 2745 SW 32 Ct 10/10
- 275 E Shore Dr 10/10
- 2750 Mcfarlane Rd 10/10
- 2750 SW 27 Ter 10/10
- 2750 SW 28 Ct 10/10
- 2750 SW 30 Ave 10/10
- 2750 SW 34 Ave 10/10
- 2751 SW 22 Ave 10/10
- 2752 SW 25 Ter 10/10
- 2753 W Trade Ave 10/10
- 2755 SW 33 Ct 10/10
- 2755 SW 36 Ave 10/10
Your address
Look up a Miami 33133 property.
About Miami 33133 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.