NOT LISTED FOR SALE

217 Daylily Ln Patterson, CA 95363

Estimated Value: $602,776 - $669,000

5 Beds
3 Baths
3,835 Sq Ft
$165/Sq Ft Est. Value

About This Home

This home is located at 217 Daylily Ln, Patterson, CA 95363 and is currently estimated at $633,444, approximately $165 per square foot. 217 Daylily Ln is a home located in Stanislaus County with nearby schools including Apricot Valley Elementary School, Creekside Middle School, and Patterson High School.

Ownership History

Date Name Owned For Owner Type

Purchase Details

Closed on
Jun 26, 2020
Sold by
Marr Julius R and Marr Maria Ofelia
Bought by
Marr Julius R and Marr Maria Ofelia
Current Estimated Value
$633,444

Purchase Details

Closed on
Mar 3, 2011
Sold by
Hsbc Bank Usa National Association
Bought by
Marr Julius R and Marr Maria Ofelia S

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$214,423
Interest Rate
4.75%
Mortgage Type
FHA

Purchase Details

Closed on
Dec 13, 2010
Sold by
Woods Theodore L and Smith Jeannie
Bought by
Hsbc Bank Usa National Association

Purchase Details

Closed on
Apr 20, 2006
Sold by
Shea Homes Lp
Bought by
Woods Theodore L and Smith Jeannie

Home Financials for this Owner

Home Financials are based on the most recent Mortgage that was taken out on this home.
Original Mortgage
$469,050
Interest Rate
6.37%
Mortgage Type
Purchase Money Mortgage
Source: Public Records

Range of Values:

--
Value Increase
--
Percent Increase
--
Adjusted for Inflation
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
Marr Julius R -- None Available
Marr Julius R $220,000 First American Title Company
Hsbc Bank Usa National Association $219,000 Accommodation
Woods Theodore L $586,363 Chicago Title
Source: Public Records

Mortgage History

Date Status Borrower Loan Amount
Previous Owner Marr Julius R $214,423
Previous Owner Woods Theodore L $469,050
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 $7,072 $285,674 $51,240 $234,434
2024 $6,956 $280,074 $50,236 $229,838
2023 $6,958 $274,583 $49,251 $225,332
2022 $6,639 $269,200 $48,286 $220,914
2021 $6,504 $263,923 $47,340 $216,583
2020 $6,453 $261,218 $46,855 $214,363
2019 $6,294 $252,666 $45,937 $206,729
2018 $6,126 $247,713 $45,037 $202,676
2017 $6,176 $242,856 $44,154 $198,702
2016 $6,134 $238,095 $43,289 $194,806
2015 $6,048 $234,519 $42,639 $191,880
2014 $5,960 $229,926 $41,804 $188,122
Source: Public Records

Map

California Stanislaus County Patterson 95363

217 Daylily Ln, Patterson, CA

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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