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Fort Lauderdale 33311 roof & property reports.
11,114 assessed properties in Fort Lauderdale 33311: average roof age ~29 years, 56% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
11,114 Assessed properties
~29 yrs Avg roof age
56% Past 15-yr threshold
57% Permit-backed ages
40% Flood-zone exposure
Browse
Properties in Fort Lauderdale 33311.
Showing 3,961 to 4,020 of 8,388 addresses.
- 2800 NW 26 St 8/10
- 2801 NW 22 St 8/10
- 2801 NW 24 Ct 8/10
- 2801 NW 24 St 8/10
- 2809 NW 6 Ct 8/10
- 2810 NW 22 St 8/10
- 2816 NW 7 Ct 8/10
- 2817 NW 6 Ct 8/10
- 2818 NW 9 Ct 8/10
- 2820 NW 25 St 8/10
- 2821 NW 21 Ct 8/10
- 2824 NW 6 Ct 8/10
- 2824 NW 9 Pl 8/10
- 2825 NW 7 Ct 8/10
- 2827 NW 9 Pl 8/10
- 2830 NW 9 Ct 8/10
- 2831 NW 6 Ct 8/10
- 2836 NW 6 Ct 8/10
- 2837 NW 6 Ct 8/10
- 2839 NW 6 Ct 8/10
- 2840 NW 14 St 8/10
- 2840 NW 24 St 8/10
- 2841 NW 22 St 8/10
- 2841 NW 23 St 8/10
- 2849 NW 8 Ct 8/10
- 2850 NW 24 St 8/10
- 2851 NW 21 Ct 8/10
- 2855 NW 4 St 8/10
- 2858 N University Dr #201 8/10
- 2860 NW 26 St 8/10
- 2861 NW 24 St 8/10
- 2864 NW 8 Pl 8/10
- 2868 NW 6 Ct 8/10
- 2870 NW 25 St 8/10
- 2871 NW 21 Ct 8/10
- 2871 NW 24 Ct 8/10
- 2871 NW 24 St 8/10
- 2881 NW 15 St 8/10
- 290 NW 29 Ave 8/10
- 290 NW 29 Ter 8/10
- 2900 Glades Cir Ste 250 8/10
- 2900 NW 9 Pl 8/10
- 2904 NW 8 Ct 8/10
- 2911 NW 5 Ct 8/10
- 2920 NW 5 Ct 8/10
- 2921 NW 11 St 8/10
- 293 Hungry Harbor Rd 8/10
- 2931 NW 24 St 8/10
- 2932 NW 9 Ct 8/10
- 2936 NW 10 Ct 8/10
- 2945 NW 9 Ct 8/10
- 295 NW 29 Ave 8/10
- 2950 NW 21 Ct 8/10
- 2951 NW 9 Pl 8/10
- 2955 NW 2 St 8/10
- 2960 NW 21 Ct 8/10
- 2961 NW 21 St 8/10
- 2971 NW 5 Ct 8/10
- 2991 NW 8 Ct 8/10
- 2991 NW 8 St 8/10
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Look up a Fort Lauderdale 33311 property.
About Fort Lauderdale 33311 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.