The directory · Florida
Miami 33162 roof & property reports.
2,829 assessed properties in Miami 33162: average roof age ~30 years, 58% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
2,829 Assessed properties
~30 yrs Avg roof age
58% Past 15-yr threshold
60% Permit-backed ages
0% Flood-zone exposure
Browse
Properties in Miami 33162.
Showing 1,921 to 1,980 of 2,829 addresses.
- 1334 NE 151 St 3/10
- 15108 NE 9 Ave 3/10
- 15207 NE 8 Ave 3/10
- 15235 NE 2 Ave 3/10
- 15560 NE 4 Ave 3/10
- 15601 NE 5 Ave 3/10
- 16001 NE 7 Ave 3/10
- 16050 NE 6 Ave 3/10
- 16130 NE 8 Ave 3/10
- 16316 NE 4 Ave 3/10
- 165 NE 165 St 3/10
- 17420 NE 13 Ave 3/10
- 17911 NE 6 Ave 3/10
- 180 NE 161 St 3/10
- 210 NE 164 Ter 3/10
- 215 NE 160 St 3/10
- 220 NE 166 St 3/10
- 230 NE 164 Ter 3/10
- 232 NE 160 Ter 3/10
- 260 NE 166 St 3/10
- 275 NE 152 St 3/10
- 320 NE 162 St 3/10
- 321 NE 161 St 3/10
- 354 NE 156 St 3/10
- 360 NE 159 St 3/10
- 365 NE 162 St 3/10
- 380 NE 166 St 3/10
- 389 NE 163 St 3/10
- 390 NE 166 St 3/10
- 391 NE 156 St 3/10
- 397 NE 152 St 3/10
- 411 NE 152 St 3/10
- 420 NE 164 Ter 3/10
- 420 NE 165 St 3/10
- 440 NE 160 Ter 3/10
- 440 NE 165 St 3/10
- 45 NE 152 St 3/10
- 450 NE 164 St 3/10
- 456 NE 167 St 3/10
- 461 NE 162 St 3/10
- 465 NE 164 Ter 3/10
- 470 NE 164 Ter 3/10
- 470 NE 167 St 3/10
- 49 NE 165 St 3/10
- 514 NE 163 St 3/10
- 515 NE 161 St 3/10
- 549 NE 165 St 3/10
- 555 NE 157 Ter 3/10
- 565 NE 157 St 3/10
- 590 NE 167 St 3/10
- 660 NE 180 St 3/10
- 675 NE 175 St 3/10
- 685 NE 162 St 3/10
- 701 NE 180 St 3/10
- 72 NE 166 St 3/10
- 720 NE 152 St 3/10
- 725 NE 155 St 3/10
- 725 NE 164 St 3/10
- 74 NE 154 St 3/10
- 760 NE 181 St 3/10
Your address
Look up a Miami 33162 property.
About Miami 33162 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.