NOT LISTED FOR SALE

Estimated Value: $1,084,000 - $1,258,000

3 Beds
2 Baths
2,041 Sq Ft
$588/Sq Ft Est. Value

About This Home

This home is located at 31 Windsor Ln, Petaluma, CA 94952 and is currently estimated at $1,201,101, approximately $588 per square foot. 31 Windsor Ln is a home located in Sonoma County with nearby schools including McNear Elementary School, Petaluma Junior High School, and Petaluma High School.

Ownership History

Date Name Owned For Owner Type

Purchase Details

Closed on
Jul 24, 2012
Sold by
Arnold Wendy Lee and Gorman Wendy L
Bought by
Arnold Wendy Lee
Current Estimated Value
$1,201,101

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$399,000
Outstanding Balance
$274,771
Interest Rate
3.62%
Mortgage Type
New Conventional
Estimated Equity
$926,330

Purchase Details

Closed on
Sep 13, 2001
Sold by
Silverstein Jackie C and Violet L Silverstein Trust
Bought by
Gorman Wendy L

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$363,950
Interest Rate
7%

Purchase Details

Closed on
Apr 23, 1998
Sold by
Silverstein Violet L
Bought by
Silverstein Violet L

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$152,600
Interest Rate
7.15%

Purchase Details

Closed on
Oct 4, 1995
Sold by
Silverstein Violet L
Bought by
Silverstein Violet L
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
Arnold Wendy Lee -- Fidelity National Title Co
Arnold Wendy Lee -- Fidelity National Title Co
Gorman Wendy L $455,000 Old Republic Title Company
Silverstein Violet L -- First American Title
Silverstein Violet L -- --
Source: Public Records

Mortgage History

Date Status Borrower Loan Amount
Open Arnold Wendy Lee $399,000
Closed Arnold Wendy Lee $399,000
Closed Gorman Wendy L $363,950
Previous Owner Silverstein Violet L $152,600
Closed Gorman Wendy L $45,450
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 $7,294 $672,022 $369,325 $302,697
2024 $7,294 $658,846 $362,084 $296,762
2023 $7,294 $645,929 $354,985 $290,944
2022 $7,061 $633,265 $348,025 $285,240
2021 $6,929 $620,849 $341,201 $279,648
2020 $6,988 $614,484 $337,703 $276,781
2019 $6,902 $602,436 $331,082 $271,354
2018 $6,876 $590,625 $324,591 $266,034
2017 $6,733 $579,045 $318,227 $260,818
2016 $6,575 $567,692 $311,988 $255,704
2015 $6,484 $559,166 $307,302 $251,864
2014 $6,452 $548,214 $301,283 $246,931
Source: Public Records

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