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10 Water St

Danville, PA 17821

4 bd 2 ba 2,242 sqft Built 1880 Lot 10,803 sqft single_family
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
2021 $63,400 $30,000 $93,400 $1,716
2020 $63,400 $30,000 $93,400 $1,609
2019 $63,400 $30,000 $93,400 $1,530
2018 $63,400 $30,000 $93,400 $1,494
2017 $63,400 $30,000 $93,400 $1,496
2016 $63,400 $30,000 $93,400 $1,489
2015 $63,400 $30,000 $93,400 $1,481
2014 $63,400 $30,000 $93,400 $1,453
2013 $63,400 $30,000 $93,400 $1,414
2012 $63,400 $30,000 $93,400 $1,412
2010 $63,400 $30,000 $93,400 $1,338
2009 $63,400 $30,000 $93,400 $1,282
2007 $63,400 $30,000 $93,400 $280

Property facts

Year built
1880
Property type
single_family
Stories
2
Beds
4
Baths
2
Living area
2,242 sqft
Lot size
10,803 sqft
ZIP code
17821
City
Danville
Street
Water St
Coordinates
41.05135, -76.67540

Comparable properties nearby

Frequently asked questions

When did 10 Water St last sell?
No public-record sale is on file for 10 Water St.
What is the current tax assessment for 10 Water St?
The most recent total assessment for 10 Water St (year 2021) is $93,400 with $1,716 in property tax.
When was 10 Water St built?
10 Water St was built in 1880.
How does 10 Water St compare to others on Water St?
We track 8 other properties on Water St. Browse the list under "Other properties on Water St" to compare beds, baths, and sale history.
What are the property facts for 10 Water St?
10 Water St is a 4 bed, 2 bath, 2,242 sqft, 10,803 sqft lot single_family.
Is 10 Water St a flip candidate?
No — 10 Water St does not appear in our flips dataset.
Is 10 Water St a tax-appeal candidate?
No — 10 Water 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
+1.0%
Implied 1-yr
+3.8%
2026 Q3
$297.1K
2026 Q4
$299.7K
ZIP 17821 — Median Price History + Forecast

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