Saxony Boulevard, St Petersburg, FL 33716
Waste land, marsh or swamp property on a 49.8-acre lot in St Petersburg, Pinellas County. Facts below come from the county property appraiser's public record.
County just value (tax roll) — not a market value
$85
County assessed value (tax roll)
$85
Lot size
49.8 acres
Land use
Waste land, marsh or swamp
FEMA flood zone
Not on file yet
County
Pinellas County, FL
Parcel ID
fl-62-16 30 12 13463 003 0090
At a glance
- Who owns Saxony Blvd?
- Pinellas County property records list CARILLON COMMON LLC as the owner of record.
- What is the county just value of Saxony Blvd?
- $85 on the Pinellas County tax roll (as of January 1). Just value is the property appraiser's figure for property taxes — not a market value.
- What is the parcel ID?
- fl-62-16 30 12 13463 003 0090 (Pinellas County).
Current owner
- CARILLON COMMON LLC
Owner contact info
Phones, emails and mailing addresses from public Florida records are available to members.
See plansMore on Saxony Blvd
- 648 Saxony Blvd $573K · built 2005
- 649 Saxony Blvd $926K · built 2005
- 650 Saxony Blvd $590K · built 2005
- 651 Saxony Blvd $590K · built 2005
- 652 Saxony Blvd $590K · built 2005
- 656 Saxony Blvd $590K · built 2005
- 657 Saxony Blvd $936K · built 2005
- 658 Saxony Blvd $574K · built 2005
- 659 Saxony Blvd $873K · built 2005
- 660 Saxony Blvd $590K · built 2005
All 53 properties on Saxony Blvd · ZIP 33716 (St Petersburg). Values are county just values (tax roll), not market values.
Nearby properties
- 246 Valencia Cir, St Petersburg $477K · built 2007
- 248 Valencia Cir, St Petersburg $438K · built 2007
- 244 Valencia Cir, St Petersburg $467K · built 2006
- 250 Valencia Cir, St Petersburg $413K · built 2009
- 242 Valencia Cir, St Petersburg $476K · built 2006
- 252 Valencia Cir, St Petersburg $480K · built 2007
- 254 Valencia Cir, St Petersburg $436K · built 2005
- 236 Valencia Cir, St Petersburg $442K · built 2006
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Source: Florida Department of Revenue parcel roll; data refreshed Jun 30, 2026. Values are county tax-roll figures, not appraisals. How to read these values · Data sources