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3873 South Ln

Greenville, OH 45331

1 bd 1 ba 646 sqft Built 1942 Lot 8,551 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 $18,100 $2,930 $21,030 $874
2023 $15,790 $2,490 $18,280 $859
2022 $12,360 $2,490 $14,850 $859
2021 $12,360 $2,490 $14,850 $290
2020 $12,360 $2,490 $14,850 $291
2019 $11,040 $2,490 $13,530 $231
2018 $11,040 $2,490 $13,530 $237
2017 $11,040 $2,490 $13,530 $268
2016 $9,280 $4,980 $14,260 $268
2015 $9,280 $4,980 $14,260 $268
2014 $9,280 $4,980 $14,260 $268
2013 $10,300 $4,980 $15,280 $323
2012 $10,300 $4,980 $15,280 $277
2011 $10,300 $4,980 $15,280 $277
2010 $10,960 $4,690 $15,650 $287
2009 $10,960 $4,690 $15,650 $285

Property facts

Year built
1942
Property type
single_family
Stories
1
Beds
1
Baths
1
Living area
646 sqft
Lot size
8,551 sqft
ZIP code
45331
City
Greenville
Street
South Ln
Coordinates
40.01274, -84.66464

Comparable properties nearby

Frequently asked questions

When did 3873 South Ln last sell?
No public-record sale is on file for 3873 South Ln.
What is the current tax assessment for 3873 South Ln?
The most recent total assessment for 3873 South Ln (year 2025) is $21,030 with $874 in property tax.
When was 3873 South Ln built?
3873 South Ln was built in 1942.
How does 3873 South Ln compare to others on South Ln?
We do not currently track other properties on South Ln.
What are the property facts for 3873 South Ln?
3873 South Ln is a 1 bed, 1 bath, 646 sqft, 8,551 sqft lot single_family.
Is 3873 South Ln a flip candidate?
No — 3873 South Ln does not appear in our flips dataset.
Is 3873 South Ln a tax-appeal candidate?
No — 3873 South 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
-2.0%
Implied 1-yr
-7.8%
2026 Q3
$203.3K
2026 Q4
$198.7K
ZIP 45331 — Median Price History + Forecast

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