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164 Swan St

Albany, NY 12202

2 bd 2 ba 1,190 sqft Built 1840 Lot 680 sqft townhomes
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 $197,600 $49,400 $247,000 $6,483
2024 $197,600 $49,400 $247,000 $6,019
2023 $107,200 $26,800 $134,000 $5,291
2022 $107,200 $26,800 $134,000 $5,254
2021 $107,200 $26,800 $134,000 $5,226
2020 $107,200 $26,800 $134,000 $5,158
2017 $107,200 $26,800 $134,000 $5,062
2016 $107,200 $26,800 $134,000 $4,942
2015 $107,200 $26,800 $134,000 $5,432
2014 $118,500 $29,600 $148,100 $5,485
2013 $118,500 $29,600 $148,100 $5,120
2012 $118,500 $29,600 $148,100 $5,012
2010 $118,500 $29,600 $148,100 $4,267

Property facts

Year built
1840
Property type
townhomes
Stories
2
Beds
2
Baths
2
Living area
1,190 sqft
Lot size
680 sqft
ZIP code
12202
City
Albany
Street
Swan St
Coordinates
42.64958, -73.76416

Comparable properties nearby

Frequently asked questions

When did 164 Swan St last sell?
No public-record sale is on file for 164 Swan St.
What is the current tax assessment for 164 Swan St?
The most recent total assessment for 164 Swan St (year 2025) is $247,000 with $6,483 in property tax.
When was 164 Swan St built?
164 Swan St was built in 1840.
How does 164 Swan St compare to others on Swan St?
We track 8 other properties on Swan St. Browse the list under "Other properties on Swan St" to compare beds, baths, and sale history.
What are the property facts for 164 Swan St?
164 Swan St is a 2 bed, 2 bath, 1,190 sqft, 680 sqft lot townhomes.
Is 164 Swan St a flip candidate?
No — 164 Swan St does not appear in our flips dataset.
Is 164 Swan St a tax-appeal candidate?
No — 164 Swan St 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
+0.7%
Implied 1-yr
+3.0%
2026 Q2
$213.2K
2026 Q3
$214.7K
ZIP 12202 — Median Price History + Forecast

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