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32 Heath Rd

Waverly, NY 14892

2 bd 3 ba 2,296 sqft Built 1934 Lot 45,738 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
2025 $100,650 $18,000 $118,650 $4,095
2024 $100,650 $18,000 $118,650 $4,035
2023 $100,650 $18,000 $118,650 $3,909
2022 $100,650 $18,000 $118,650 $3,860
2021 $100,650 $18,000 $118,650 $3,884
2020 $100,650 $18,000 $118,650 $3,424
2017 $100,650 $18,000 $118,650 $2,141
2016 $64,400 $18,000 $82,400 $2,076
2015 $64,400 $18,000 $82,400 $2,032
2014 $64,400 $18,000 $82,400 $1,923
2013 $64,400 $18,000 $82,400 $1,021
2012 $64,400 $18,000 $82,400 $976
2011 $61,200 $18,000 $79,200 $887
2010 $61,200 $18,000 $79,200 $872
2009 $61,200 $18,000 $79,200 $913

Property facts

Year built
1934
Property type
single_family
Stories
2
Beds
2
Baths
3
Living area
2,296 sqft
Lot size
45,738 sqft
ZIP code
14892
City
Waverly
Street
Heath Rd
Coordinates
42.00954, -76.48689

Comparable properties nearby

Frequently asked questions

When did 32 Heath Rd last sell?
No public-record sale is on file for 32 Heath Rd.
What is the current tax assessment for 32 Heath Rd?
The most recent total assessment for 32 Heath Rd (year 2025) is $118,650 with $4,095 in property tax.
When was 32 Heath Rd built?
32 Heath Rd was built in 1934.
How does 32 Heath Rd compare to others on Heath Rd?
We do not currently track other properties on Heath Rd.
What are the property facts for 32 Heath Rd?
32 Heath Rd is a 2 bed, 3 bath, 2,296 sqft, 45,738 sqft lot single_family.
Is 32 Heath Rd a flip candidate?
No — 32 Heath Rd does not appear in our flips dataset.
Is 32 Heath Rd a tax-appeal candidate?
No — 32 Heath 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
+4.8%
Implied 1-yr
+19.3%
2026 Q2
$236.5K
2026 Q3
$245.1K
ZIP 14892 — Median Price History + Forecast

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