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127 Shady Ln

New Baltimore, NY 12124

ba 1,456 sqft Built 1994 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
2025 $62,500 $16,500 $79,000 $3,825
2024 $62,500 $16,500 $79,000 $3,849
2023 $62,500 $16,500 $79,000 $3,626
2022 $62,500 $16,500 $79,000 $3,562
2021 $62,500 $16,500 $79,000 $3,455
2020 $62,500 $16,500 $79,000 $544
2017 $62,500 $16,500 $79,000 $1,196
2016 $62,500 $16,500 $79,000 $825
2015 $62,500 $16,500 $79,000 $578
2014 $62,500 $16,500 $79,000 $822
2013 $62,500 $16,500 $79,000 $3,114
2012 $62,500 $16,500 $79,000 $1,440
2011 $62,500 $16,500 $79,000 $1,051
2010 $62,500 $16,500 $79,000 $1,263
2009 $62,500 $16,500 $79,000 $487

Property facts

Year built
1994
Property type
mobile
Stories
Beds
Baths
Living area
1,456 sqft
Lot size
ZIP code
12124
City
New Baltimore
Street
Shady Ln
Coordinates
42.43663, -73.89068

Comparable properties nearby

Frequently asked questions

When did 127 Shady Ln last sell?
No public-record sale is on file for 127 Shady Ln.
What is the current tax assessment for 127 Shady Ln?
The most recent total assessment for 127 Shady Ln (year 2025) is $79,000 with $3,825 in property tax.
When was 127 Shady Ln built?
127 Shady Ln was built in 1994.
How does 127 Shady Ln compare to others on Shady Ln?
We track 5 other properties on Shady Ln. Browse the list under "Other properties on Shady Ln" to compare beds, baths, and sale history.
What are the property facts for 127 Shady Ln?
127 Shady Ln is a — bath, 1,456 sqft mobile.
Is 127 Shady Ln a flip candidate?
No — 127 Shady Ln does not appear in our flips dataset.
Is 127 Shady Ln a tax-appeal candidate?
No — 127 Shady 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
-1.0%
Implied 1-yr
-3.9%
2025 Q4
$270K
2026 Q1
$267.2K
ZIP 12124 — Median Price History + Forecast

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