The directory · Florida
Miami 33145 roof & property reports.
6,594 assessed properties in Miami 33145: average roof age ~45 years, 64% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
6,594 Assessed properties
~45 yrs Avg roof age
64% Past 15-yr threshold
35% Permit-backed ages
0% Flood-zone exposure
Browse
Properties in Miami 33145.
Showing 2,041 to 2,100 of 6,593 addresses.
- 3131 SW 16 Ter 9/10
- 3131 SW 21 Ter 9/10
- 3132 SW 21 Ter 9/10
- 3132 SW 23 Ter 9/10
- 3135 SW 14 St 9/10
- 3139 SW 17 St 9/10
- 3140 SW 23 St 9/10
- 3141 SW 16 Ter 9/10
- 3141 SW 24 Ter 9/10
- 3150 SW 15 St 9/10
- 3152 SW 21 St 9/10
- 3156 SW 16 Ter 9/10
- 3157 SW 17 St 9/10
- 3165 SW 24 St 9/10
- 3166 SW 22 Ter 9/10
- 3167 SW 23 St 9/10
- 3168 SW 24 Ter 9/10
- 3173 SW 23 Ter 9/10
- 3175 SW 17 St 9/10
- 3180 SW 17 St 9/10
- 3181 SW 18 St 9/10
- 3210 SW 19 Ter 9/10
- 3213 SW 24 St 9/10
- 3215 SW 24 Ter 9/10
- 3216 SW 23 Ter 9/10
- 3223 SW 24 Ter 9/10
- 3227 SW 24 St 9/10
- 3240 SW 20 St 9/10
- 3245 SW 24 Ter 9/10
- 3250 SW 21 St 9/10
- 3251 SW 23 Ter 9/10
- 3253 SW 23 St 9/10
- 3256 SW 24 Ter 9/10
- 3260 SW 18 Ter 9/10
- 3262 SW 24 Ter 9/10
- 3266 SW 22 Ter 9/10
- 3280 SW 16 Ln 9/10
- 3286 SW 24 St 9/10
- 3291 SW 16 Ln 9/10
- 3301 Coral Way 9/10
- 3301 SW 16 Ln 9/10
- 3303 SW 24 Ter 9/10
- 3306 SW 20 St 9/10
- 3320 SW 18 St 9/10
- 3320 SW 23 St 9/10
- 3321 SW 21 St 9/10
- 3321 SW 24 Ter 9/10
- 3327 SW 24 Ter 9/10
- 3330 SW 21 St 9/10
- 3331 SW 16 Ln 9/10
- 3334 SW 24 St 9/10
- 3335 SW 23 St 9/10
- 3335 SW 23 Ter 9/10
- 3338 SW 24 Ter 9/10
- 3342 SW 20 St 9/10
- 3344 SW 23 Ter 9/10
- 3350 SW 22 Ter 9/10
- 3350 SW 24 Ter 9/10
- 3351 SW 24 Ter 9/10
- 3360 SW 23 St 9/10
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Look up a Miami 33145 property.
About Miami 33145 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.