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1733 Skillman Ln

Petaluma, CA 94952

5 bd 4 ba 5,180 sqft Built 2009 Lot 114,998 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 $1,606,344 $1,070,895 $2,677,239 $30,236
2024 $1,606,344 $1,070,895 $2,677,239 $28,880
2023 $1,543,969 $1,029,312 $2,573,281 $28,497
2022 $1,513,696 $1,009,130 $2,522,826 $28,087
2021 $1,484,016 $989,344 $2,473,360 $27,332
2020 $1,468,800 $979,200 $2,448,000 $27,537
2019 $1,440,000 $960,000 $2,400,000 $27,098
2018 $1,183,992 $319,049 $1,503,041 $17,120
2017 $1,160,777 $312,794 $1,473,571 $16,846

Property facts

Year built
2009
Property type
land
Stories
1
Beds
5
Baths
4
Living area
5,180 sqft
Lot size
114,998 sqft
ZIP code
94952
City
Petaluma
Street
Skillman Ln
Coordinates
38.25518, -122.67680

Comparable properties nearby

Frequently asked questions

When did 1733 Skillman Ln last sell?
No public-record sale is on file for 1733 Skillman Ln.
What is the current tax assessment for 1733 Skillman Ln?
The most recent total assessment for 1733 Skillman Ln (year 2025) is $2,677,239 with $30,236 in property tax.
When was 1733 Skillman Ln built?
1733 Skillman Ln was built in 2009.
How does 1733 Skillman Ln compare to others on Skillman Ln?
We track 8 other properties on Skillman Ln. Browse the list under "Other properties on Skillman Ln" to compare beds, baths, and sale history.
What are the property facts for 1733 Skillman Ln?
1733 Skillman Ln is a 5 bed, 4 bath, 5,180 sqft, 114,998 sqft lot land.
Is 1733 Skillman Ln a flip candidate?
No — 1733 Skillman Ln does not appear in our flips dataset.
Is 1733 Skillman Ln a tax-appeal candidate?
No — 1733 Skillman Ln 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
+4.7%
Implied 1-yr
+18.9%
2026 Q3
$1.78M
2026 Q4
$1.84M
ZIP 94952 — Median Price History + Forecast

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