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13959 Tyrone Pike

Curwensville, PA 16833

ba Built 1958 Lot 348,480 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 $17,900 $4,100 $22,000 $1,471
2024 $8,950 $2,050 $11,000 $1,295
2023 $8,950 $2,050 $11,000 $1,295
2022 $8,950 $2,050 $11,000 $1,273
2021 $8,950 $2,050 $11,000 $1,273
2020 $8,950 $2,050 $11,000 $1,273
2019 $8,950 $2,050 $11,000 $1,273
2018 $8,950 $2,050 $11,000 $1,218
2017 $8,950 $2,050 $11,000 $1,218
2016 $8,950 $2,050 $11,000 $1,179
2015 $8,950 $2,050 $11,000 $1,142
2014 $8,950 $2,050 $11,000 $1,115
2013 $8,950 $2,050 $11,000 $1,093

Property facts

Year built
1958
Property type
single_family
Stories
Beds
Baths
Living area
Lot size
348,480 sqft
ZIP code
16833
City
Curwensville
Street
Tyrone Pike
Coordinates
40.87731, -78.58329

Frequently asked questions

When did 13959 Tyrone Pike last sell?
No public-record sale is on file for 13959 Tyrone Pike.
What is the current tax assessment for 13959 Tyrone Pike?
The most recent total assessment for 13959 Tyrone Pike (year 2026) is $22,000 with $1,471 in property tax.
When was 13959 Tyrone Pike built?
13959 Tyrone Pike was built in 1958.
How does 13959 Tyrone Pike compare to others on Tyrone Pike?
We track 2 other properties on Tyrone Pike. Browse the list under "Other properties on Tyrone Pike" to compare beds, baths, and sale history.
What are the property facts for 13959 Tyrone Pike?
13959 Tyrone Pike is a — bath, 348,480 sqft lot single_family.
Is 13959 Tyrone Pike a flip candidate?
No — 13959 Tyrone Pike does not appear in our flips dataset.
Is 13959 Tyrone Pike a tax-appeal candidate?
No — 13959 Tyrone Pike 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
+2.3%
Implied 1-yr
+9.1%
2026 Q3
$187.4K
2026 Q4
$187.4K
ZIP 16833 — Median Price History + Forecast

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