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448 Newlove Rd

South Charleston, OH 45368

3 bd 2 ba 1,808 sqft Built 2009 Lot 65,340 sqft mobile
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 $45,780 $9,430 $55,210 $2,780
2020 $45,780 $9,430 $55,210 $2,783
2019 $45,780 $9,430 $55,210 $2,838
2018 $40,110 $2,610 $42,720 $2,271
2017 $40,110 $2,610 $42,720 $1,946
2016 $40,110 $2,610 $42,720 $1,933
2015 $34,890 $2,610 $37,500 $1,765
2014 $34,890 $2,610 $37,500 $1,764
2013 $34,890 $2,610 $37,500 $1,761
2012 $38,440 $6,960 $45,400 $2,193
2011 $1,360 $1,360 $66
2010 $1,360 $1,360 $62
2009 $1,460 $1,460 $119

Property facts

Year built
2009
Property type
mobile
Stories
1
Beds
3
Baths
2
Living area
1,808 sqft
Lot size
65,340 sqft
ZIP code
45368
City
South Charleston
Street
Newlove Rd
Coordinates
39.91788, -83.67193

Comparable properties nearby

Frequently asked questions

When did 448 Newlove Rd last sell?
No public-record sale is on file for 448 Newlove Rd.
What is the current tax assessment for 448 Newlove Rd?
The most recent total assessment for 448 Newlove Rd (year 2021) is $55,210 with $2,780 in property tax.
When was 448 Newlove Rd built?
448 Newlove Rd was built in 2009.
How does 448 Newlove Rd compare to others on Newlove Rd?
We track 8 other properties on Newlove Rd. Browse the list under "Other properties on Newlove Rd" to compare beds, baths, and sale history.
What are the property facts for 448 Newlove Rd?
448 Newlove Rd is a 3 bed, 2 bath, 1,808 sqft, 65,340 sqft lot mobile.
Is 448 Newlove Rd a flip candidate?
No — 448 Newlove Rd does not appear in our flips dataset.
Is 448 Newlove Rd a tax-appeal candidate?
No — 448 Newlove Rd 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
+2.8%
Implied 1-yr
+11.2%
2025 Q3
$269.9K
2025 Q4
$276.3K
ZIP 45368 — Median Price History + Forecast

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