NOT LISTED FOR SALE

292 Nelson Ave Staten Island, NY 10308

Great Kills Neighborhood

Estimated Value: $863,707

-- Bed
-- Bath
1,080 Sq Ft
$800/Sq Ft Est. Value

About This Home

This home is located at 292 Nelson Ave, Staten Island, NY 10308 and is currently estimated at $863,707, approximately $799 per square foot. 292 Nelson Ave is a home located in Richmond County with nearby schools including P.S. 8 Shirlee Solomon, Myra S. Barnes Intermediate School 24, and New Dorp High School.

Ownership History

Date Name Owned For Owner Type

Purchase Details

Closed on
May 25, 2022
Sold by
None Of Our Husbands Business Llc
Bought by
Dalessio Test Prep & Tutoring Llc
Current Estimated Value
$863,707

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$455,000
Outstanding Balance
$434,267
Interest Rate
5.3%
Mortgage Type
New Conventional
Estimated Equity
$409,433

Purchase Details

Closed on
Jan 6, 2005
Sold by
Bisignano Turyan Galina Aileen and Bisignano Bosco
Bought by
None Of Our Husbands Business Llc
Source: Public Records

Range of Values:

Collateral Analytics

Collateral Analytics Collateral Analytics AVMs (Automated Valuation Model) employ a number of statistical approaches combined with neighborhood-specific comparable selection guarantees the most up-to-date and precise valuations.

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ICE

ICE Mortgage Technology ICE Mortgage Technology’s AVM (Automated Valuation Model) is a state-of-the-art online residential property valuation tool that provides a quick and accurate estimate of the value of almost any home in the U.S.

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First American

First American First American Data & Analytics’ next-generation AVM combines unrivaled data assets with a blended ensemble of valuation models to produce highly accurate, reliable valuations you can trust.

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Quantarium

Quantarium Quantarium’s valuation service, repeatedly proven the industry’s most accurate and comprehensive, is supercharged with a self-learning and auto-tuning AI engine that continually becomes smarter and more accurate as it processes daily inputs from the industry’s leading RE data lake.

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Average Value
Not Available
List Price
Sold Price
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Home Values in the Area

Source: Public Records

Average Home Value in this Area

Source: Public Records

Purchase History

Date Buyer Sale Price Title Company
Dalessio Test Prep & Tutoring Llc $800,000 None Listed On Document
None Of Our Husbands Business Llc $450,000 --
Source: Public Records

Mortgage History

Date Status Borrower Loan Amount
Open Dalessio Test Prep & Tutoring Llc $455,000
Previous Owner None Of Our Husbands Business Llc $318,750
Source: Public Records

Tax History Compared to Growth

Source: Public Records

Tax History

Year Tax Paid Tax Assessment Tax Assessment Total Assessment is a certain percentage of the fair market value that is determined by local assessors to be the total taxable value of land and additions on the property. Land Improvement
2025 $14,852 $152,550 $45,450 $107,100
2024 $14,852 $147,150 $45,450 $101,700
2023 $14,736 $138,420 $45,450 $92,970
2022 $14,674 $139,950 $45,450 $94,500
2021 $13,763 $128,700 $45,450 $83,250
2020 $13,741 $138,150 $45,450 $92,700
2019 $13,163 $138,150 $45,450 $92,700
2018 $12,387 $137,250 $45,450 $91,800
2017 $11,459 $136,350 $45,450 $90,900
2016 $10,525 $102,150 $45,450 $56,700
2015 $9,235 $112,050 $45,450 $66,600
2014 $9,235 $101,250 $45,450 $55,800
Source: Public Records

Map

New York Richmond County Staten Island 10308 Great Kills

292 Nelson Ave, Staten Island, NY

This home is located at 292 Nelson Ave, Staten Island, NY 10308 and is currently estimated at $863,707, approximately $799 per square foot. 292 Nelson Ave is a home located in Richmond County with nearby schools including P.S. 8 Shirlee Solomon, Myra S. Barnes Intermediate School 24, and New Dorp High School.

Disclaimer: Certain information contained herein is derived from information provided by parties other than Homes.com. All information provided is deemed reliable, but is not guaranteed to be accurate and should be independently verified.

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