The directory · Florida
Lutz roof & property reports.
1,494 assessed properties in Lutz: average roof age ~2 years.
Area snapshot
The area at a glance.
1,494 Assessed properties
~2 yrs Avg roof age
0% Past 15-yr threshold
100% Permit-backed ages
12% Flood-zone exposure
Browse
Properties in Lutz.
Showing 421 to 480 of 1,426 addresses.
- 1751 Nature View 10/10
- 17510 Wellfield 10/10
- 17511 Eagle 10/10
- 17511 Gunlock 10/10
- 17514 Cedarwood 10/10
- 17534 Wellfield 10/10
- 17541 Cedarwood 10/10
- 17561 Cedarwood 10/10
- 17604 Hickory Tree 10/10
- 17621 Driftwood 10/10
- 1764 Oak Hammock 10/10
- 17641 Dogwood 10/10
- 17644 Dogwood 10/10
- 17701 Dogwood 10/10
- 1771 Mary 10/10
- 17720 Eagle 10/10
- 1775 Moorhen 10/10
- 17817 Deerfield 10/10
- 17818 Deerfield 10/10
- 17834 Deerfield 10/10
- 1784 Nature View 10/10
- 17900 Dogwood 10/10
- 1792 Nature View 10/10
- 17932 Eagle 10/10
- 17933 Eagle 10/10
- 1796 Oak Hammock 10/10
- 1799 Moorhen 10/10
- 18002 Dogwood 10/10
- 18018 Driftwood 10/10
- 18019 Eagle 10/10
- 18046 Eagle 10/10
- 1806 Nature View 10/10
- 1807 Oak Hammock 10/10
- 1821 Cherry Walk 10/10
- 1826 Fox Grape 10/10
- 1830 Nature View 10/10
- 1831 Alto 10/10
- 1835 Alto 10/10
- 1835 Oak Hammock 10/10
- 1842 Nature View 10/10
- 1844 Fox Grape 10/10
- 1845 Moorhen 10/10
- 1846 Moorhen 10/10
- 18528 Roseate 10/10
- 1854 Nature View 10/10
- 1857 Moorhen 10/10
- 1866 Nature View 10/10
- 1869 Moorhen 10/10
- 1872 Fox Grape 10/10
- 18727 Deer Tracks 10/10
- 18745 Deer Tracks 10/10
- 18753 Deer Tracks 10/10
- 18770 Deer Tracks 10/10
- 18773 Deer Tracks 10/10
- 18779 Deer Tracks 10/10
- 1878 Nature View 10/10
- 1881 Moorhen 10/10
- 18819 Deer Tracks 10/10
- 18837 Deer Tracks 10/10
- 18843 Deer Tracks 10/10
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FAQ
About Lutz 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.