The directory · Florida
Miramar roof & property reports.
34,049 assessed properties in Miramar: average roof age ~18 years, 54% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
34,049 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 16,021 to 16,080 of 31,858 addresses.
- 17651 SW 43 St 10/10
- 17652 SW 19 St 10/10
- 17653 SW 18 St 10/10
- 17653 SW 32 St 10/10
- 17653 SW 47 St 10/10
- 17656 SW 20 St 10/10
- 17656 SW 32 St 10/10
- 17657 SW 20 St 10/10
- 17657 SW 28 Ct 10/10
- 17657 SW 32 St 10/10
- 17658 SW 28 Ct 10/10
- 17659 SW 54 St 10/10
- 17660 SW 29 Ct 10/10
- 17660 SW 32 St 10/10
- 17660 SW 41 St 10/10
- 17661 SW 29 Ct 10/10
- 17661 SW 31 Ct 10/10
- 17662 SW 18 St 10/10
- 17663 SW 18 St 10/10
- 17663 SW 19 St 10/10
- 17663 SW 32 St 10/10
- 17664 SW 32 St 10/10
- 17665 SW 31 Ct 10/10
- 17665 SW 46 St 10/10
- 17666 SW 45 St 10/10
- 17667 SW 28 Ct 10/10
- 17667 SW 32 St 10/10
- 17668 SW 31 Ct 10/10
- 17670 SW 29 Ct 10/10
- 17670 SW 32 St 10/10
- 17671 SW 18 St 10/10
- 17671 SW 29 Ct 10/10
- 17671 SW 31 Ct 10/10
- 17671 SW 41 St 10/10
- 17672 SW 18 St 10/10
- 17672 SW 31 Ct 10/10
- 17672 SW 46 St 10/10
- 17673 SW 19 St 10/10
- 17673 SW 32 St 10/10
- 17673 SW 47 St 10/10
- 17674 SW 47 St 10/10
- 17675 SW 31 Ct 10/10
- 17676 SW 20 St 10/10
- 17676 SW 32 St 10/10
- 17677 SW 32 St 10/10
- 17678 SW 28 Ct 10/10
- 17679 SW 54 St 10/10
- 17680 SW 29 Ct 10/10
- 17680 SW 32 St 10/10
- 17682 SW 18 St 10/10
- 17682 SW 31 Ct 10/10
- 17683 SW 47 St 10/10
- 17686 SW 32 St 10/10
- 17687 SW 32 St 10/10
- 17689 SW 54 Street 10/10
- 17690 SW 29 Ct 10/10
- 17690 SW 32 St 10/10
- 17690 SW 41 St 10/10
- 17691 SW 31 Ct 10/10
- 17691 SW 41 St 10/10
Your address
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.