The directory · Florida
Miami Springs roof & property reports.
4,114 assessed properties in Miami Springs: average roof age ~14 years, 36% past the 15-year insurability threshold.
Area snapshot
The area at a glance.
4,114 Assessed properties
~14 yrs Avg roof age
36% Past 15-yr threshold
91% Permit-backed ages
49% Flood-zone exposure
Browse
Properties in Miami Springs.
Showing 2,341 to 2,400 of 4,112 addresses.
- 173 Navarre Dr 9/10
- 181 Hammond Dr 9/10
- 181 Truxton Dr 9/10
- 189 Truxton Dr 9/10
- 190 Curtiss Pkwy 9/10
- 191 Ludlam Dr 9/10
- 2 Carlisle Dr 9/10
- 200 S Melrose Dr 9/10
- 201 Whitethorn Dr 9/10
- 2070 Westward Dr 9/10
- 208 Apache St 9/10
- 210 Albatross St 9/10
- 210 Lawn Way 9/10
- 210 S Melrose Dr 9/10
- 211 Cross St 9/10
- 211 N Melrose Dr 9/10
- 214 Glendale Dr 9/10
- 217 Minola Dr 9/10
- 224 Lenape Dr 9/10
- 224 Payne Dr 9/10
- 228 Nahkoda Dr 9/10
- 228 Rosedale Dr 9/10
- 231 Hough Dr 9/10
- 231 Rosedale Dr 9/10
- 232 Carlisle Dr 9/10
- 233 Carlisle Dr 9/10
- 234 Flagler Dr 9/10
- 24 Euclid Dr 9/10
- 241 N Melrose Dr 9/10
- 241 Rosedale Dr 9/10
- 243 South Dr 9/10
- 248 Shadow Way 9/10
- 249 Carlisle Dr 9/10
- 251 Hough Dr 9/10
- 255 Springs Ave 9/10
- 256 Palmetto Dr 9/10
- 256 Rosedale Dr 9/10
- 259 Fern Way 9/10
- 261 Glendale Dr 9/10
- 264 Navajo St 9/10
- 265 Minola Dr 9/10
- 265 South Dr 9/10
- 268 Nahkoda Dr 9/10
- 270 Corydon Dr 9/10
- 270 Miami Springs Ave 9/10
- 271 Rosedale Dr 9/10
- 273 Corydon Dr 9/10
- 279 Corydon Dr 9/10
- 279 Pinecrest Dr 9/10
- 279 Shadow Way 9/10
- 281 Glendale Dr 9/10
- 281 N Melrose Dr 9/10
- 288 Iroquois St 9/10
- 288 La Villa Dr 9/10
- 29 Bentley Dr 9/10
- 297 Minola Dr 9/10
- 300 Miller Dr 9/10
- 300 S Melrose Dr 9/10
- 301 Plover Ave 9/10
- 311 Rosedale Dr 9/10
Your address
Look up a Miami Springs property.
About Miami Springs 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.