The directory · Florida
Miramar roof & property reports.
34,135 assessed properties in Miramar: average roof age ~18 years, 54% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
34,135 Assessed properties
~18 yrs Avg roof age
54% Past 15-yr threshold
61% Permit-backed ages
74% Flood-zone exposure
Browse
Properties in Miramar.
Showing 5,821 to 5,880 of 31,944 addresses.
- 12815 SW 54 St 10/10
- 12816 SW 31 St 10/10
- 12816 SW 52 St 10/10
- 12817 SW 26 St 10/10
- 12817 SW 54 Ct 10/10
- 12818 SW 26 St 10/10
- 12818 SW 47 St 10/10
- 12819 SW 51 St 10/10
- 12820 SW 28 Ct 10/10
- 12820 SW 50 Ct 10/10
- 12820 SW 53 St 10/10
- 12821 SW 17 Ct 10/10
- 12821 SW 29 St 10/10
- 12821 SW 32 St #136 10/10
- 12821 SW 45 Dr 10/10
- 12821 SW 50 Ct 10/10
- 12821 SW 52 St 10/10
- 12821 SW 53 St 10/10
- 12822 SW 45 Dr 10/10
- 12822 SW 52 St 10/10
- 12822 SW 53 Ct 10/10
- 12824 SW 28 St 10/10
- 12825 SW 28 Ct 10/10
- 12825 SW 30 St #107 10/10
- 12825 SW 47 St 10/10
- 12825 SW 51 St 10/10
- 12826 SW 24 St 10/10
- 12826 SW 28 Ct 10/10
- 12826 SW 50 Ct 10/10
- 12826 SW 54 Ct 10/10
- 12827 SW 50 Ct 10/10
- 12827 SW 52 St 10/10
- 12828 SW 21 St 10/10
- 12828 SW 44 St 10/10
- 12828 SW 47 St 10/10
- 12828 SW 52 St 10/10
- 12829 SW 21 St 10/10
- 12829 SW 31 Ct 10/10
- 12830 SW 18 St 10/10
- 12830 SW 20 St 10/10
- 12831 SW 17 Ct 10/10
- 12831 SW 20 St 10/10
- 12831 SW 30 St #106 10/10
- 12831 SW 45 Dr 10/10
- 12831 SW 51 St 10/10
- 12831 SW 53 St 10/10
- 12832 SW 45 Dr 10/10
- 12832 SW 50 Ct 10/10
- 12833 SW 31 Ct #158 10/10
- 12833 SW 31 Ct 10/10
- 12833 SW 50 Ct 10/10
- 12833 SW 52 St 10/10
- 12834 SW 31 St 10/10
- 12834 SW 52 St 10/10
- 12834 SW 54 St 10/10
- 12835 SW 30 St 10/10
- 12835 SW 47 St 10/10
- 12835 SW 54 St 10/10
- 12836 SW 51 St 10/10
- 12837 SW 26 St 10/10
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Look up a Miramar property.
About Miramar 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.