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 29,401 to 29,460 of 31,858 addresses.
- 3000 Sunshine Blvd 2/10
- 3000 SW 194 Ter 2/10
- 3000 SW 64 Ave 2/10
- 3001 Arcadia Dr 2/10
- 3001 W Hallandale Bch Blvd #300 2/10
- 3002 Falcon Ave 2/10
- 3002 SW 67 Ter 2/10
- 3006 Alcazar Dr 2/10
- 3007 SW 68 Ter 2/10
- 301 N 71 Ter 2/10
- 3010 Jasper Way 2/10
- 3010 SW 62 Ave 2/10
- 3014 SW 68 Ave 2/10
- 3025 Langs Bay 2/10
- 3028 Dolphin Dr 2/10
- 303 19 St Apt 5 2/10
- 3031 SW 68 Ave 2/10
- 3032 SW 50 St 2/10
- 304 Indian Trce #975 2/10
- 3060 SW 189 Ter 2/10
- 3061 SW 160 Ave Ste 100 2/10
- 3061 Windward Way 2/10
- 3071 Goldsboro Pl 2/10
- 3090 Windward Way 2/10
- 31 NW 170 St 2/10
- 3100 Alcazar Ct 2/10
- 3100 SW 64 Ave 2/10
- 3104 5th St SW 2/10
- 3105 Acapulco Ct 2/10
- 3106 SW 66 Ter 2/10
- 3108 Knolls Rd 2/10
- 3108 Sheridan Ln #190 2/10
- 3110 SW 64 Ave 2/10
- 312 English Lake Dr 2/10
- 312 Pierce Rd 2/10
- 3121 SW 64 Ave 2/10
- 3121 SW 64 Ter 2/10
- 3121 SW 65 Ave 2/10
- 3131 SW 64 Ter 2/10
- 3141 SW 65 Ave 2/10
- 3149 Battlement Cir 2/10
- 3151 W Hallandale Bch Blvd 2/10
- 3171 Punta Del Este Dr 2/10
- 3171 SW 135 Ave 2/10
- 318 Indian Trce #716 2/10
- 31925 Turkeyhill Dr 2/10
- 31929 Hall Dr 2/10
- 320 NE 79 St 2/10
- 321 SW 99 Ave 2/10
- 321 SW Buzby Ct 2/10
- 3220 SW 66 Ave 2/10
- 3220 SW 66 Ter 2/10
- 3225 Mcleod Dr Ste 777 2/10
- 324 E 53 St 2/10
- 3241 SW 44 St 2/10
- 325 Centre Ave 2/10
- 3250 NE 1 Ave #311 2/10
- 3250 SW 64 Ter 2/10
- 3250 SW 66 Ave 2/10
- 3251 SW 192 Ave 2/10
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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.