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2695 Mokelumne Rd

Arnold, CA 95223

ba Lot 28,314 sqft land
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 $27,060 $27,060 $393
2024 $27,060 $27,060 $388
2023 $26,010 $26,010 $380
2022 $25,500 $25,500 $372
2021 $12,128 $12,128 $217
2020 $12,004 $12,004 $213
2019 $11,769 $11,769 $209
2018 $11,539 $11,539 $126
2017 $11,313 $11,313 $123
2016 $11,092 $11,092 $122
2015 $10,926 $10,926 $120
2014 $10,712 $10,712 $117
2012 $10,455 $10,455 $114
2011 $35,000 $35,000 $381
2010 $50,000 $50,000 $543
2009 $60,000 $60,000 $644
2008 $101,959 $101,959 $1,074
2007 $99,960 $99,960 $1,034

Property facts

Year built
Property type
land
Stories
Beds
Baths
Living area
Lot size
28,314 sqft
ZIP code
95223
City
Arnold
Street
Mokelumne Rd
Coordinates
38.23201, -120.34385

Frequently asked questions

When did 2695 Mokelumne Rd last sell?
No public-record sale is on file for 2695 Mokelumne Rd.
What is the current tax assessment for 2695 Mokelumne Rd?
The most recent total assessment for 2695 Mokelumne Rd (year 2025) is $27,060 with $393 in property tax.
When was 2695 Mokelumne Rd built?
The year built for 2695 Mokelumne Rd is not in our records.
How does 2695 Mokelumne Rd compare to others on Mokelumne Rd?
We track 8 other properties on Mokelumne Rd. Browse the list under "Other properties on Mokelumne Rd" to compare beds, baths, and sale history.
What are the property facts for 2695 Mokelumne Rd?
2695 Mokelumne Rd is a — bath, 28,314 sqft lot land.
Is 2695 Mokelumne Rd a flip candidate?
No — 2695 Mokelumne Rd does not appear in our flips dataset.
Is 2695 Mokelumne Rd a tax-appeal candidate?
No — 2695 Mokelumne Rd 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
+2.6%
Implied 1-yr
+10.3%
2026 Q3
$484.4K
2026 Q4
$495.1K
ZIP 95223 — Median Price History + Forecast

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