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2014 Chantilly Ln

Salisbury, NC 28146

ba Built 2015 Lot 9,148 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
2025 $231,133 $42,500 $273,633 $3,406
2023 $231,133 $42,500 $273,633 $3,272
2022 $134,944 $31,500 $166,444 $2,292
2020 $134,944 $31,500 $166,444 $2,292
2019 $134,944 $31,500 $166,444 $2,292
2018 $118,839 $31,500 $150,339 $2,042
2017 $118,839 $31,500 $150,339 $2,031
2016 $26,775 $26,775 $1,976
2015 $26,775 $26,775 $348
2014 $26,775 $26,775 $344
2013 $26,775 $26,775 $332
2012 $26,775 $26,775 $332
2011 $26,775 $26,775 $325
2010 $26,775 $26,775 $312

Property facts

Year built
2015
Property type
single_family
Stories
Beds
Baths
Living area
Lot size
9,148 sqft
ZIP code
28146
City
Salisbury
Street
Chantilly Ln
Coordinates
35.63778, -80.46803

Frequently asked questions

When did 2014 Chantilly Ln last sell?
No public-record sale is on file for 2014 Chantilly Ln.
What is the current tax assessment for 2014 Chantilly Ln?
The most recent total assessment for 2014 Chantilly Ln (year 2025) is $273,633 with $3,406 in property tax.
When was 2014 Chantilly Ln built?
2014 Chantilly Ln was built in 2015.
How does 2014 Chantilly Ln compare to others on Chantilly Ln?
We track 8 other properties on Chantilly Ln. Browse the list under "Other properties on Chantilly Ln" to compare beds, baths, and sale history.
What are the property facts for 2014 Chantilly Ln?
2014 Chantilly Ln is a — bath, 9,148 sqft lot single_family.
Is 2014 Chantilly Ln a flip candidate?
No — 2014 Chantilly Ln does not appear in our flips dataset.
Is 2014 Chantilly Ln a tax-appeal candidate?
No — 2014 Chantilly 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
+1.6%
Implied 1-yr
+6.2%
2026 Q3
$366.9K
2026 Q4
$372.1K
ZIP 28146 — Median Price History + Forecast

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