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 1,321 to 1,380 of 2,829 addresses.
- 685 NE 180 St 9/10
- 698 NE 167 St 9/10
- 70 NE 152 St 9/10
- 700 NE 160 St 9/10
- 700 NE 162 St 9/10
- 701 NE 155 Ter 9/10
- 701 NE 160 Ter 9/10
- 701 NE 177 St 9/10
- 705 NE 178 St 9/10
- 710 NE 167 St 9/10
- 710 NE 178 Ter 9/10
- 715 NE 160 St 9/10
- 715 NE 178 Ter 9/10
- 720 NE 155 Ter 9/10
- 720 NE 181 St 9/10
- 721 NE 155 Ter 9/10
- 721 NE 161 St 9/10
- 721 NE 164 Ter 9/10
- 725 NE 166 St 9/10
- 725 NE 178 St 9/10
- 730 NE 152 St 9/10
- 730 NE 161 St 9/10
- 730 NE 179 Ter 9/10
- 735 NE 165 St 9/10
- 735 NE 166 St 9/10
- 735 NE 178 St 9/10
- 735 NE 178 Ter 9/10
- 736 NE 164 St 9/10
- 740 NE 155 Ter 9/10
- 740 NE 173 Ter 9/10
- 740 NE 179 Ter 9/10
- 745 NE 159 St 9/10
- 745 NE 166 St 9/10
- 745 NE 178 Ter 9/10
- 750 NE 160 St 9/10
- 751 NE 180 St 9/10
- 755 NE 160 St 9/10
- 755 NE 160 Ter 9/10
- 760 NE 160 St 9/10
- 760 NE 166 St 9/10
- 760 NE 174 St 9/10
- 761 NE 165 St 9/10
- 761 NE 177 St 9/10
- 765 NE 160 St 9/10
- 770 NE 152 St 9/10
- 770 NE 167 St 9/10
- 771 NE 161 St 9/10
- 771 NE 177 St 9/10
- 781 NE 162 St 9/10
- 795 NE 165 St 9/10
- 80 NE 162 St 9/10
- 800 NE 155 Ter 9/10
- 800 NE 179 Ter 9/10
- 800 NE 180 St 9/10
- 800 NE 181 St 9/10
- 801 NE 171 Ter 9/10
- 805 NE 153 Ter 9/10
- 805 NE 155 Ter 9/10
- 81 NE 161 St 9/10
- 810 NE 154 St 9/10
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.