The directory · Florida
Miami 33137 roof & property reports.
2,205 assessed properties in Miami 33137: average roof age ~40 years, 58% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
2,205 Assessed properties
~40 yrs Avg roof age
58% Past 15-yr threshold
39% Permit-backed ages
18% Flood-zone exposure
Browse
Properties in Miami 33137.
Showing 1,081 to 1,140 of 2,200 addresses.
- 276 NE 60 St 7/10
- 3530 Biscayne Blvd 7/10
- 3535 NE 2 Ave 7/10
- 3595 Biscayne Blvd 7/10
- 36 NE 61 St 7/10
- 3630 NE 1 Ct 7/10
- 4100 NE 2 Ave 7/10
- 420 NE 55 St 7/10
- 421 NE 35 St 7/10
- 423 NE 23 St 7/10
- 425 NE 22 St 7/10
- 425 NE 30 St 7/10
- 4360 Sabal Palm Rd 7/10
- 4460 Sabal Palm Rd 7/10
- 4570 Sabal Palm Rd 7/10
- 4744 NE Miami Ct 7/10
- 5050 NE 5 Ave 7/10
- 525 Sabal Palm Rd 7/10
- 5313 NE 1 Ave 7/10
- 547 NE 57 St 7/10
- 55 NE 55 St 7/10
- 555 Gate Ln 7/10
- 5600 N Bayshore Dr 7/10
- 570 NE 57 St 7/10
- 5925 NE 6 Ct 7/10
- 5945 NE 5 Ave 7/10
- 5991 NE 6 Ct 7/10
- 610 Sabal Palm Rd 7/10
- 6151 Biscayne Blvd 7/10
- 620 NE 61 St 7/10
- 621 NE 51 St 7/10
- 640 NE 51 St 7/10
- 658 NE 58 St 7/10
- 659 NE 60 St 7/10
- 681 NE 57 St 7/10
- 699 NE 50 Ter 7/10
- 82 NE 60 St 7/10
- 10 NE 41 St 6/10
- 100 NE 46 St 6/10
- 136 NE 50 St 6/10
- 14 NE 60 St 6/10
- 144 NE 60 St 6/10
- 175 NE 45 St 6/10
- 176 NE 50 St 6/10
- 2000 NE 2 Ave 6/10
- 2001 NE 2 Ave 6/10
- 222 NE 25 St 6/10
- 234 NE 55 Ter 6/10
- 249 NE 57 St 6/10
- 250 NE 58 St 6/10
- 2898 Biscayne Blvd 6/10
- 291 NE 47 St 6/10
- 311 NE 28 St 6/10
- 321 NE 55 Ter 6/10
- 3800 NE Miami Ct 6/10
- 3900 NE 2 Ave 6/10
- 4160 Bay Point Rd 6/10
- 4215 Lake Rd 6/10
- 4235 Lake Rd 6/10
- 4255 Lake Rd 6/10
Your address
Look up a Miami 33137 property.
About Miami 33137 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.