The directory · Florida
Miami 33133 roof & property reports.
6,546 assessed properties in Miami 33133: average roof age ~35 years, 57% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
6,546 Assessed properties
~35 yrs Avg roof age
57% Past 15-yr threshold
40% Permit-backed ages
8% Flood-zone exposure
Browse
Properties in Miami 33133.
Showing 4,921 to 4,980 of 6,522 addresses.
- 2631 SW 28 Ave 2/10
- 2631 SW 30 Ct 2/10
- 2631 SW 32 Ave 2/10
- 2632 SW 28 Ct 2/10
- 2633 SW 29 Ave 2/10
- 2634 SW 29 Ave 2/10
- 2635 SW 29 Ct 2/10
- 2635 SW 29 Pl 2/10
- 2636 SW 31 Pl 2/10
- 2637 SW 28 Ct 2/10
- 2638 SW 30 Ct 2/10
- 2639 SW 32 Ave 2/10
- 2639 SW 33 Ave 2/10
- 2640 SW 29 Ave 2/10
- 2640 SW 29 Pl 2/10
- 2640 SW 31 Ave 2/10
- 2640 SW 33 Ave 2/10
- 2641 SW 29 Ct 2/10
- 2643 SW 29 Ave 2/10
- 2644 SW 27 Ct 2/10
- 2644 SW 31 Pl 2/10
- 2644 SW 34 Ct 2/10
- 2645 SW 27 Ct 2/10
- 2645 SW 33 Ave 2/10
- 2647 SW 34 Ave 2/10
- 2651 SW 28 Ave 2/10
- 2651 SW 29 Ct 2/10
- 2651 SW 30 Ct 2/10
- 2651 SW 34 Ave 2/10
- 2652 SW 29 Ct 2/10
- 2653 SW 27 Ct 2/10
- 2653 SW 31 Pl 2/10
- 2653 SW 32 Ct 2/10
- 2654 SW 28 Ct 2/10
- 2655 SW 33 Ave 2/10
- 2655 SW 34 Ct 2/10
- 2655 SW 36 Ave 2/10
- 2656 SW 28 Ave 2/10
- 2660 SW 28 Ct 2/10
- 2660 SW 33 Ave 2/10
- 2660 SW 34 Ave 2/10
- 2661 SW 29 Pl 2/10
- 2661 SW 34 Ave 2/10
- 2663 SW 32 Ave 2/10
- 2670 SW 33 Ct 2/10
- 2675 SW 28 Ave 2/10
- 2680 SW 30 Ct 2/10
- 2691 SW 31 Pl 2/10
- 2695 SW 28 Ave 2/10
- 2700 SW 29 Ave 2/10
- 2700 SW 36 Ave 2/10
- 2701 SW 28 Ave 2/10
- 2701 SW 29 Ave 2/10
- 2701 SW 29 Ct 2/10
- 2701 SW 33 Ct 2/10
- 2701 SW 34 Ave 2/10
- 2701 SW 37 Ave 2/10
- 2709 SW 31 Pl 2/10
- 2710 SW 27 Ct 2/10
- 2710 SW 28 Ct 2/10
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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.