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27 Walnut Ln

Carlisle, PA 17015

2 bd 1 ba 980 sqft Built 1988 mobile
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 $9,300 $9,300 $167
2024 $9,300 $9,300 $155
2023 $9,300 $9,300 $147
2022 $9,300 $9,300 $139
2021 $9,300 $9,300 $136
2020 $9,300 $9,300 $134
2019 $9,300 $9,300 $131
2018 $9,300 $9,300 $127
2017 $9,300 $9,300 $122
2016 $9,300 $9,300 $120
2015 $9,300 $9,300 $117
2014 $9,300 $9,300 $115
2013 $9,300 $9,300 $113
2012 $9,300 $9,300 $110
2011 $9,300 $9,300 $144
2010 $11,350 $11,350 $155
2009 $11,350 $11,350 $149
2008 $11,350 $11,350 $146

Property facts

Year built
1988
Property type
mobile
Stories
1
Beds
2
Baths
1
Living area
980 sqft
Lot size
ZIP code
17015
City
Carlisle
Street
Walnut Ln
Coordinates
40.25796, -77.10679

Comparable properties nearby

Block-level micro-comps

Same street, ±3 house numbers, sold in the last 24 months

Frequently asked questions

When did 27 Walnut Ln last sell?
No public-record sale is on file for 27 Walnut Ln.
What is the current tax assessment for 27 Walnut Ln?
The most recent total assessment for 27 Walnut Ln (year 2026) is $9,300 with $167 in property tax.
When was 27 Walnut Ln built?
27 Walnut Ln was built in 1988.
How does 27 Walnut Ln compare to others on Walnut Ln?
We track 7 other properties on Walnut Ln. Browse the list under "Other properties on Walnut Ln" to compare beds, baths, and sale history.
What are the property facts for 27 Walnut Ln?
27 Walnut Ln is a 2 bed, 1 bath, 980 sqft mobile.
Is 27 Walnut Ln a flip candidate?
No — 27 Walnut Ln does not appear in our flips dataset.
Is 27 Walnut Ln a tax-appeal candidate?
No — 27 Walnut Ln 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
+4.1%
Implied 1-yr
+16.5%
2026 Q3
$620.6K
2026 Q4
$620.6K
ZIP 17015 — Median Price History + Forecast

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