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42603 Lisburn Chase Ter

Chantilly, VA 20152

3 ba 1,668 sqft Built 2017 Lot 1,742 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
2021 $152,210 $16,910 $169,120 $1,657
2020 $150,490 $16,720 $167,210 $1,730
2019 $147,900 $16,430 $164,330 $1,717
2018 $144,450 $16,050 $160,500 $1,741
2017 $14,000 $14,000 $157
2016 $14,000 $14,000 $160

Property facts

Year built
2017
Property type
townhomes
Stories
3
Beds
Baths
3
Living area
1,668 sqft
Lot size
1,742 sqft
ZIP code
20152
City
Chantilly
Street
Lisburn Chase Ter
Coordinates
38.92618, -77.52933

Comparable properties nearby

Block-level micro-comps

Same street, ±3 house numbers, sold in the last 24 months

Frequently asked questions

When did 42603 Lisburn Chase Ter last sell?
No public-record sale is on file for 42603 Lisburn Chase Ter.
What is the current tax assessment for 42603 Lisburn Chase Ter?
The most recent total assessment for 42603 Lisburn Chase Ter (year 2021) is $169,120 with $1,657 in property tax.
When was 42603 Lisburn Chase Ter built?
42603 Lisburn Chase Ter was built in 2017.
How does 42603 Lisburn Chase Ter compare to others on Lisburn Chase Ter?
We track 8 other properties on Lisburn Chase Ter. Browse the list under "Other properties on Lisburn Chase Ter" to compare beds, baths, and sale history.
What are the property facts for 42603 Lisburn Chase Ter?
42603 Lisburn Chase Ter is a 3 bath, 1,668 sqft, 1,742 sqft lot townhomes.
Is 42603 Lisburn Chase Ter a flip candidate?
No — 42603 Lisburn Chase Ter does not appear in our flips dataset.
Is 42603 Lisburn Chase Ter a tax-appeal candidate?
No — 42603 Lisburn Chase Ter 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
-0.8%
Implied 1-yr
-3.2%
2026 Q3
$766.8K
2026 Q4
$760.3K
ZIP 20152 — Median Price History + Forecast

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