33182 (Miami, FL) Roof & Property Reports
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Miami 33182 roof & property reports.

3,502 assessed properties in Miami 33182: average roof age ~20 years, 63% past the 15-year insurability threshold.

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(01) Area snapshot

The area at a glance.

Assessed properties 3,502 3,501 address reports
Avg roof age ~20 yrs Area average
Past 15-yr threshold 63% Insurability risk
68%Permit-backed ages0%Flood-zone exposure
(02) Roof help

Roof help in Miami 33182.

(03) Browse

Properties in Miami 33182.

Showing 3,481 to 3,501 of 3,501 addresses.

  1. 3481 650 NW 128 Ct Miami 33182 ~32 yrs est -/10
  2. 3482 13442 NW 8 St Miami 33182 ~30 yrs est -/10
  3. 3483 13278 NW 11 Ter Miami 33182 ~30 yrs est -/10
  4. 3484 13285 NW 11 St Miami 33182 ~30 yrs est -/10
  5. 3485 13299 NW 11 St Miami 33182 ~31 yrs est -/10
  6. 3486 1062 NW 133 Ave Miami 33182 ~30 yrs est -/10
  7. 3487 1021 NW 132 Ct Miami 33182 ~31 yrs est -/10
  8. 3488 957 NW 132 Ave Miami 33182 ~31 yrs est -/10
  9. 3489 877 NW 132 Ave W Miami 33182 ~28 yrs permit -/10
  10. 3490 851 NW 132 Ct Miami 33182 ~31 yrs est -/10
  11. 3491 1053 NW 135 Ct Miami 33182 ~27 yrs permit -/10
  12. 3492 370 NW 124 Ave Miami 33182 ~27 yrs est -/10
  13. 3493 351 NW 125 Ave Miami 33182 ~18 yrs permit -/10
  14. 3494 10 NW 125 Ave Miami 33182 ~21 yrs permit -/10
  15. 3495 20 NW 124 Ave Miami 33182 ~24 yrs permit -/10
  16. 3496 240 NW 119 Ave Miami 33182 ~26 yrs permit -/10
  17. 3497 530 NW 136 Ave Miami 33182 ~21 yrs permit -/10
  18. 3498 13302 NW 1 Ter Miami 33182 ~20 yrs permit -/10
  19. 3499 13233 NW 1 Ln Miami 33182 ~20 yrs permit -/10
  20. 3500 13311 NW 1 Ln Miami 33182 ~23 yrs permit -/10
  21. 3501 362 NW 134 Ct Miami 33182 ~18 yrs permit -/10
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(05) Questions

About Miami 33182 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.