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 1,801 to 1,860 of 2,829 addresses.
- 131 NE 160 St 4/10
- 1380 NE 171 St 4/10
- 140 NE 161 St 4/10
- 141 NE 174 St 4/10
- 15295 NE 9 Ave 4/10
- 155 NE 164 St 4/10
- 15800 NE 4 Ave 4/10
- 15950 NE 2 Ave 4/10
- 160 NE 165 St 4/10
- 16000 NE 6 Ave 4/10
- 16160 NE 7 Ave 4/10
- 16300 NE 6 Ave 4/10
- 16450 NE 7 Ave 4/10
- 170 NE 163 St 4/10
- 17020 NE 11 Ave 4/10
- 17320 NE 13 Ave 4/10
- 17341 NE 12 Ct 4/10
- 17415 NE 12 Ave 4/10
- 17600 NE 7 Ave 4/10
- 17600 NE 8 Ct 4/10
- 17830 NE 6 Ct 4/10
- 17850 NE 8 Ave 4/10
- 17905 NE 7 Ct 4/10
- 17910 NE 6 Ct 4/10
- 200 NE 154 St 4/10
- 232 NE 160 St 4/10
- 236 NE 160 Ter 4/10
- 239 NE 160 St 4/10
- 24 NE 151 St 4/10
- 245 NE 159 St 4/10
- 265 NE 165 St 4/10
- 290 NE 163 St 4/10
- 300 NE 159 St 4/10
- 32 NE 166 St 4/10
- 325 NE 160 Ter 4/10
- 345 NE 165 St 4/10
- 359 NE 156 St 4/10
- 360 NE 162 St 4/10
- 361 NE 162 St 4/10
- 374 NE 164 St 4/10
- 405 NE 159 St 4/10
- 410 NE 159 St 4/10
- 425 NE 162 St 4/10
- 431 NE 175 St 4/10
- 440 NE 176 St 4/10
- 445 NE 161 St 4/10
- 455 NE 164 St 4/10
- 460 NE 177 St 4/10
- 471 NE 175 St 4/10
- 472 NE 167 St 4/10
- 480 NE 159 St 4/10
- 481 NE 160 St 4/10
- 490 NE 159 St 4/10
- 505 NE 158 St 4/10
- 535 NE 158 St 4/10
- 545 NE 162 St 4/10
- 625 NE 164 St 4/10
- 630 NE 163 St 4/10
- 640 NE 181 St 4/10
- 641 NE 164 St 4/10
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.