NOT LISTED FOR SALE

Estimated Value: $71,522 - $133,000

3 Beds
2 Baths
1,592 Sq Ft
$62/Sq Ft Est. Value

About This Home

This home is located at 22 N Dunlap Ave, Youngstown, OH 44509 and is currently estimated at $98,881, approximately $62 per square foot. 22 N Dunlap Ave is a home located in Mahoning County with nearby schools including Volney Rogers Elementary School, Chaney High School, and Summit Academy - Youngstown.

Ownership History

Date Name Owned For Owner Type

Purchase Details

Closed on
Jan 4, 2019
Sold by
Colla Nicholas P and Colla Lora G
Bought by
Wells Michelle and The Mac Trust
Current Estimated Value
$98,881

Purchase Details

Closed on
Jul 31, 2014
Sold by
Genova Erin and Genova Lynn
Bought by
Colla Nicholas P and Colla Lora G

Purchase Details

Closed on
Dec 4, 2012
Sold by
Genova Eric J and Genova Lynn A
Bought by
Lucero David and Grow Robin

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$54,000
Interest Rate
8%
Mortgage Type
Seller Take Back

Purchase Details

Closed on
Feb 19, 2009
Sold by
Genova Eric J and Genova Lynn A
Bought by
Sopkovich Margaret

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$52,000
Interest Rate
8%
Mortgage Type
Seller Take Back

Purchase Details

Closed on
Jun 3, 1994
Sold by
Yavorsky Grace M
Bought by
Genova Eric J

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$38,475
Interest Rate
8.48%
Mortgage Type
New Conventional

Purchase Details

Closed on
Jul 31, 1985
Bought by
Yavorsky Grace
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
Wells Michelle $13,600 None Available
Colla Nicholas P -- None Available
Lucero David $54,000 None Available
Sopkovich Margaret $55,000 None Available
Genova Eric J $40,500 --
Yavorsky Grace -- --
Source: Public Records

Mortgage History

Date Status Borrower Loan Amount
Previous Owner Lucero David $54,000
Previous Owner Sopkovich Margaret $52,000
Previous Owner Genova Eric J $38,475
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
2024 $412 $8,380 $1,180 $7,200
2023 $409 $8,380 $1,180 $7,200
2022 $212 $3,320 $820 $2,500
2021 $212 $3,320 $820 $2,500
2020 $213 $3,320 $820 $2,500
2019 $210 $2,900 $710 $2,190
2018 $245 $2,900 $710 $2,190
2017 $209 $2,900 $710 $2,190
2016 $51 $720 $320 $400
2015 $52 $720 $320 $400
2014 $855 $13,630 $1,570 $12,060
2013 $843 $13,630 $1,570 $12,060
Source: Public Records

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