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1772 Old Gatesburg Rd

State College, PA 16803

3 bd 3 ba 1,935 sqft Built 2016 Lot 5,663 sqft single_family
No recorded sales

Location

Timeline: Sale, Listing & Tax History

Recorded events

No recorded events

No sale or listing events are on file for this property.

Tax assessment history

YearBuildingLandTotal assessedTax paid
2026 $71,350 $12,055 $83,405 $5,335
2024 $71,350 $12,055 $83,405 $4,993
2023 $71,350 $12,055 $83,405 $4,830
2022 $71,350 $12,055 $83,405 $4,699
2021 $71,350 $12,055 $83,405 $4,699
2020 $71,350 $12,055 $83,405 $4,699
2019 $71,350 $12,055 $83,405 $4,626
2018 $71,350 $12,055 $83,405 $4,537

Property facts

Year built
2016
Property type
single_family
Stories
2
Beds
3
Baths
3
Living area
1,935 sqft
Lot size
5,663 sqft
ZIP code
16803
City
State College
Street
Old Gatesburg Rd
Coordinates
40.78073, -77.88819

Comparable properties nearby

Frequently asked questions

When did 1772 Old Gatesburg Rd last sell?
No public-record sale is on file for 1772 Old Gatesburg Rd.
What is the current tax assessment for 1772 Old Gatesburg Rd?
The most recent total assessment for 1772 Old Gatesburg Rd (year 2026) is $83,405 with $5,335 in property tax.
When was 1772 Old Gatesburg Rd built?
1772 Old Gatesburg Rd was built in 2016.
How does 1772 Old Gatesburg Rd compare to others on Old Gatesburg Rd?
We track 8 other properties on Old Gatesburg Rd. Browse the list under "Other properties on Old Gatesburg Rd" to compare beds, baths, and sale history.
What are the property facts for 1772 Old Gatesburg Rd?
1772 Old Gatesburg Rd is a 3 bed, 3 bath, 1,935 sqft, 5,663 sqft lot single_family.
Is 1772 Old Gatesburg Rd a flip candidate?
No — 1772 Old Gatesburg Rd does not appear in our flips dataset.
Is 1772 Old Gatesburg Rd a tax-appeal candidate?
No — 1772 Old Gatesburg Rd is not currently flagged as a tax-appeal candidate.

Forecast for this area

ZIP-area linear projection — not a per-property automated valuation
Quarterly trend
-3.5%
Implied 1-yr
-13.8%
2026 Q3
$352K
2026 Q4
$336.3K
ZIP 16803 — Median Price History + Forecast

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