1420 Colmar Avenue, Sebring, FL 33870
Vacant residential property on a 0.16-acre lot in Sebring, Highlands County. Facts below come from the county property appraiser's public record.
County just value (tax roll) — not a market value
$3,675
County assessed value (tax roll)
$3,675
Lot size
0.16 acres (7,102 sq ft)
Land use
Vacant residential
FEMA flood zone
Not on file yet
County
Highlands County, FL
Parcel ID
fl-38-S33342901000A00050
At a glance
- Who owns 1420 Colmar Ave?
- Highlands County property records list LATCH KAREN LAIRSEY + as the owner of record.
- What is the county just value of 1420 Colmar Ave?
- $3,675 on the Highlands 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-38-S33342901000A00050 (Highlands County).
Current owner
- LATCH KAREN LAIRSEY +
Owner contact info
Phones, emails and mailing addresses from public Florida records are available to members.
See plansMore on Colmar Ave
- 1400 Colmar Ave $264K · built 1977
- 1424 Colmar Ave $55K · built 1970
- 1438 Colmar Ave $187K · built 1968
- 1439 Colmar Ave $122K · built 1960
- 1500 Colmar Ave $77K · built 1925
- 1506 Colmar Ave $156K · built 1980
- 1507 Colmar Ave $133K · built 1988
- 1510 Colmar Ave $158K · built 1980
- 1511 Colmar Ave $75K · built 1972
- 1514 Colmar Ave $148K · built 1981
- 1515 Colmar Ave $4K
All 52 properties on Colmar Ave · ZIP 33870 (Sebring). Values are county just values (tax roll), not market values.
Nearby properties
- 1424 Colmar Ave, Sebring $55K · built 1970
- 500 Zervas Ct, Sebring $159K · built 2008
- 1400 Colmar Ave, Sebring $264K · built 1977
- 502 Zervas Ct, Sebring $159K · built 2008
- 601 Zara Goza Ct, Sebring $160K · built 2008
- 1438 Colmar Ave, Sebring $187K · built 1968
- 504 Zervas Ct, Sebring $162K · built 2009
- 603 Zara Goza Ct, Sebring $159K · built 2008
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Source: Florida Department of Revenue parcel roll; data refreshed Jun 25, 2026. Values are county tax-roll figures, not appraisals. How to read these values · Data sources