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16 Shay Dr

Kings Park, NY 11754

3 bd 1 ba 1,197 sqft Built 1955 Lot 7,841 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 $4,643 $190 $4,833 $10,858
2024 $4,643 $190 $4,833 $10,541
2023 $4,643 $190 $4,833 $10,194
2022 $4,643 $190 $4,833 $10,006
2021 $4,643 $190 $4,833 $9,814
2020 $4,643 $190 $4,833 $9,674
2018 $4,235 $190 $4,425 $8,303
2017 $4,235 $190 $4,425 $8,103
2016 $4,235 $190 $4,425 $7,985
2015 $3,870 $190 $4,060 $7,645
2014 $3,870 $190 $4,060 $7,482
2013 $3,870 $190 $4,060 $7,258
2012 $3,870 $190 $4,060 $7,024
2011 $4,225 $190 $4,415 $7,560
2010 $4,225 $190 $4,415 $7,362
2008 $4,225 $190 $4,415 $7,012
2007 $4,225 $190 $4,415 $6,678
2006 $4,225 $190 $4,415 $6,263

Property facts

Year built
1955
Property type
single_family
Stories
1
Beds
3
Baths
1
Living area
1,197 sqft
Lot size
7,841 sqft
ZIP code
11754
City
Kings Park
Street
Shay Dr
Coordinates
40.88096, -73.25191

Comparable properties nearby

Frequently asked questions

When did 16 Shay Dr last sell?
No public-record sale is on file for 16 Shay Dr.
What is the current tax assessment for 16 Shay Dr?
The most recent total assessment for 16 Shay Dr (year 2025) is $4,833 with $10,858 in property tax.
When was 16 Shay Dr built?
16 Shay Dr was built in 1955.
How does 16 Shay Dr compare to others on Shay Dr?
We do not currently track other properties on Shay Dr.
What are the property facts for 16 Shay Dr?
16 Shay Dr is a 3 bed, 1 bath, 1,197 sqft, 7,841 sqft lot single_family.
Is 16 Shay Dr a flip candidate?
No — 16 Shay Dr does not appear in our flips dataset.
Is 16 Shay Dr a tax-appeal candidate?
No — 16 Shay Dr 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
+2.2%
Implied 1-yr
+8.9%
2026 Q2
$779.4K
2026 Q3
$794.6K
ZIP 11754 — Median Price History + Forecast

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