The directory · Florida
Miami 33133 roof & property reports.
6,546 assessed properties in Miami 33133: average roof age ~35 years, 57% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
6,546 Assessed properties
~35 yrs Avg roof age
57% Past 15-yr threshold
40% Permit-backed ages
8% Flood-zone exposure
Browse
Properties in Miami 33133.
Showing 4,081 to 4,140 of 6,522 addresses.
- 3543 Loquat Ave 5/10
- 3571 Royal Palm Ave 5/10
- 3613 Royal Palm Ave 5/10
- 3660 Poinciana Ave 5/10
- 3731 Battersea Rd 5/10
- 3770 Kent Ct 5/10
- 3800 Battersea Rd 5/10
- 3800 Coco Grove Ave 5/10
- 3908 Main Hwy 5/10
- 3940 Braganza Ave 5/10
- 3950 Hardie Ave 5/10
- 4001 Hardie Ave 5/10
- 4005 Kumquat Ave 5/10
- 4065 Hardie Ave 5/10
- 4111 Raynolds Ave 5/10
- 4171 Malaga Ave 5/10
- 4180 Ventura Ave 5/10
- 4181 Park Ave 5/10
- 4190 Battersea Rd 5/10
- 4255 Braganza Ave 5/10
- 4277 Ingraham Hwy 5/10
- 4300 Lennox Dr 5/10
- 4350 Douglas Rd 5/10
- 6700 Brighton Pl 5/10
- 3303 Franklin Ave 5/10
- 3401 Oak Ave 5/10
- 3430 Percival Ave 5/10
- 3530 SW 37 Ave 5/10
- 3544 William Ave 5/10
- 3564 William Ave 5/10
- 3658 Frow Ave 5/10
- 3850 Washington Ave 5/10
- 1 E Shore Dr 4/10
- 11 E Shore Dr 4/10
- 110 W Shore Dr 4/10
- 19 Samana Dr 4/10
- 235 E Shore Dr 4/10
- 236 E Shore Dr 4/10
- 267 E Shore Dr 4/10
- 280 E Shore Dr 4/10
- 29 Bay Heights Dr 4/10
- 31 Samana Dr 4/10
- 33 Samana Dr 4/10
- 55 Pinta Rd 4/10
- 6 Samana Dr 4/10
- 61 Samana Dr 4/10
- 74 Bay Heights Dr 4/10
- 91 Bay Heights Dr 4/10
- 2859 W Trade Ave 4/10
- 3061 Lime Ct 4/10
- 3155 Virginia St 4/10
- 3211 Grand Ave 4/10
- 3220 Frow Ave 4/10
- 3301 Frow Ave 4/10
- 3125 Mundy St 4/10
- 3161 Ohio St 4/10
- 3700 S Dixie Hwy 4/10
- 2613 SW 32 Ave 4/10
- 2626 SW 28 Ct 4/10
- 2637 SW 31 Ave 4/10
Your address
Look up a Miami 33133 property.
About Miami 33133 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.