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 9,841 to 9,900 of 31,858 addresses.
- 16779 SW 54 Ct 10/10
- 16781 SW 36 Ct 10/10
- 16781 SW 38 St 10/10
- 16783 SW 36 St 10/10
- 16786 SW 51 St 10/10
- 16789 SW 36 St 10/10
- 16791 SW 49 Ct 10/10
- 16795 SW 36 St 10/10
- 168 Maono Pl 10/10
- 16800 SW 36 Ct 10/10
- 16800 SW 38 St 10/10
- 16800 SW 49 Ct 10/10
- 16801 SW 36 Ct 10/10
- 16801 SW 38 St 10/10
- 16802 SW 39 St 10/10
- 16802 SW 50 St 10/10
- 16803 SW 36 St 10/10
- 16803 SW 50 St 10/10
- 16804 SW 49 Ct 10/10
- 16806 SW 51 St 10/10
- 16808 SW 36 St 10/10
- 16808 SW 39 St 10/10
- 16809 SW 36 St 10/10
- 16809 SW 54 Ct 10/10
- 16810 SW 36 Ct 10/10
- 16810 SW 49 Ct 10/10
- 16811 SW 36 Ct 10/10
- 16811 SW 49 Ct 10/10
- 16813 SW 50 St 10/10
- 16814 SW 36 St 10/10
- 16814 SW 39 St 10/10
- 16814 SW 49 Ct 10/10
- 16815 SW 39 St 10/10
- 16815 SW 49 Ct 10/10
- 16816 SW 51 St 10/10
- 16817 SW 51 St 10/10
- 16819 SW 49 Ct 10/10
- 16819 SW 54 Ct 10/10
- 16820 SW 36 Ct 10/10
- 16820 SW 39 St 10/10
- 16820 SW 49 Ct 10/10
- 16821 SW 36 St 10/10
- 16821 SW 38 St 10/10
- 16821 SW 39 St 10/10
- 16821 SW 49 Ct 10/10
- 16822 SW 50 St 10/10
- 16825 SW 49 Ct 10/10
- 16826 SW 39 St 10/10
- 16827 SW 36 St 10/10
- 16830 SW 36 Ct 10/10
- 16830 SW 49 Ct 10/10
- 16831 SW 49 Ct 10/10
- 16833 SW 50 St 10/10
- 16834 SW 39 St 10/10
- 16834 SW 49 Ct 10/10
- 16835 SW 49 Ct 10/10
- 16837 SW 51 St 10/10
- 16839 SW 49 Ct 10/10
- 16839 SW 54 Ct 10/10
- 16840 SW 36 Ct 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.