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250 Gooseville Rd

New Oxford, PA 17350

ba Lot 1,802,077 sqft land
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 $291,000 $291,000 $5,580
2025 $291,000 $291,000 $5,441
2024 $291,000 $291,000 $5,103
2023 $291,600 $291,600 $5,004
2022 $291,600 $291,600 $5,004
2021 $291,600 $291,600 $4,931
2020 $291,600 $291,600 $4,805
2019 $291,600 $291,600 $4,700
2018 $291,600 $291,600 $4,591
2017 $20,500 $20,500 $309
2016 $20,500 $20,500 $302
2015 $18,700 $18,700 $270
2014 $17,400 $17,400 $248
2013 $16,000 $16,000 $215
2012 $15,200 $15,200 $60
2010 $17,300 $17,300 $354

Property facts

Year built
Property type
land
Stories
Beds
Baths
Living area
Lot size
1,802,077 sqft
ZIP code
17350
City
New Oxford
Street
Gooseville Rd
Coordinates
39.93032, -77.08253

Frequently asked questions

When did 250 Gooseville Rd last sell?
No public-record sale is on file for 250 Gooseville Rd.
What is the current tax assessment for 250 Gooseville Rd?
The most recent total assessment for 250 Gooseville Rd (year 2026) is $291,000 with $5,580 in property tax.
When was 250 Gooseville Rd built?
The year built for 250 Gooseville Rd is not in our records.
How does 250 Gooseville Rd compare to others on Gooseville Rd?
We track 2 other properties on Gooseville Rd. Browse the list under "Other properties on Gooseville Rd" to compare beds, baths, and sale history.
What are the property facts for 250 Gooseville Rd?
250 Gooseville Rd is a — bath, 1,802,077 sqft lot land.
Is 250 Gooseville Rd a flip candidate?
No — 250 Gooseville Rd does not appear in our flips dataset.
Is 250 Gooseville Rd a tax-appeal candidate?
No — 250 Gooseville 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
-2.8%
Implied 1-yr
-11.1%
2026 Q3
$292.3K
2026 Q4
$292.3K
ZIP 17350 — Median Price History + Forecast

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