The directory · Florida
Dover roof & property reports.
4,654 assessed properties in Dover: average roof age ~16 years, 39% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
4,654 Assessed properties
~16 yrs Avg roof age
39% Past 15-yr threshold
53% Permit-backed ages
9% Flood-zone exposure
Browse
Properties in Dover.
Showing 4,501 to 4,560 of 4,649 addresses.
- 2229 Dover Rd 2/10
- 229 Marge Owens Rd 2/10
- 2305 N Dover Rd 2/10
- 2310 Wooten Rd 2/10
- 2311 Wooten Rd 2/10
- 2315 N Wooten Rd 2/10
- 2316 N Dover Rd 2/10
- 2328 N Dover Rd 2/10
- 2411 Mcintosh Rd 2/10
- 2531 Fritzke Rd 2/10
- 2535 Fritzke Rd 2/10
- 2610 Dad Weldon Rd 2/10
- 2617 Fritzke Rd 2/10
- 2630 Kirkland Rd 2/10
- 2636 Kirkland Dr 2/10
- 2640 Dad Weldon Rd 2/10
- 2641 Dad Weldon St 2/10
- 2644 Kirkland Rd 2/10
- 2703 N Dover Rd 2/10
- 2722 Lewis Rd 2/10
- 2808 Lewis Rd 2/10
- 2809 Ranch Rd 2/10
- 2811 Lewis Rd 2/10
- 2813 S Jerry Smith Rd 2/10
- 2960 Shady Acres Rd 2/10
- 2968 Shady Acres Rd 2/10
- 3002 Lewis Rd 2/10
- 3050 Blount Rd 2/10
- 3102 Blount Rd 2/10
- 3108 Brady Ave 2/10
- 3109 Dixon Ave 2/10
- 3109 Drexel Ave 2/10
- 3109 Mason Ave 2/10
- 3110 Dixon Ave 2/10
- 3114 Brady Ave 2/10
- 3121 Knox Ave 2/10
- 3124 Rex Ave 2/10
- 3127 Mott Rd 2/10
- 3132 Nelson Ave 2/10
- 3140 Nelson Ave 2/10
- 3141 Nelson Ave 2/10
- 3142 Sydney Dover Rd 2/10
- 3150 Munson Ave 2/10
- 3159 Fritzke Rd 2/10
- 3202 Sydney Dover Rd 2/10
- 3202 Wheeler Ct 2/10
- 3203 Sabus Rd 2/10
- 3206 Nelson Ave 2/10
- 3207 Sydney Dover Rd 2/10
- 3207 Wheeler St 2/10
- 3210 Mott Rd 2/10
- 3214 Moores Lake Rd 2/10
- 3216 Mott Rd 2/10
- 3217 Blount Rd 2/10
- 3219 Mason Ave 2/10
- 3219 Moores Lake Rd 2/10
- 3219 Wheeler St 2/10
- 3220 Wheeler Ct 2/10
- 3229 Moores Lake Rd 2/10
- 3241 S Forbes Rd 2/10
Your address
Look up a Dover property.
About Dover 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.