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31977 Dixon Mill Rd

Londonderry, OH 45647

ba Lot 27,878 sqft land
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 $480 $4,490 $4,970 $159
2023 $380 $3,230 $3,610 $132
2022 $380 $3,230 $3,610 $133
2021 $380 $3,230 $3,610 $132
2020 $410 $2,810 $3,220 $124
2019 $410 $2,810 $3,220 $124
2018 $410 $2,810 $3,220 $122
2017 $390 $2,560 $2,950 $115
2016 $390 $2,560 $2,950 $115
2015 $390 $2,560 $2,950 $107
2014 $810 $2,350 $3,160 $115
2013 $810 $2,350 $3,160 $115
2012 $810 $2,350 $3,160 $115
2011 $320 $320 $12
2009 $320 $320 $12
2008 $650 $650 $24

Property facts

Year built
Property type
land
Stories
Beds
Baths
Living area
Lot size
27,878 sqft
ZIP code
45647
City
Londonderry
Street
Dixon Mill Rd
Coordinates
39.28099, -82.75594

Frequently asked questions

When did 31977 Dixon Mill Rd last sell?
No public-record sale is on file for 31977 Dixon Mill Rd.
What is the current tax assessment for 31977 Dixon Mill Rd?
The most recent total assessment for 31977 Dixon Mill Rd (year 2025) is $4,970 with $159 in property tax.
When was 31977 Dixon Mill Rd built?
The year built for 31977 Dixon Mill Rd is not in our records.
How does 31977 Dixon Mill Rd compare to others on Dixon Mill Rd?
We track 3 other properties on Dixon Mill Rd. Browse the list under "Other properties on Dixon Mill Rd" to compare beds, baths, and sale history.
What are the property facts for 31977 Dixon Mill Rd?
31977 Dixon Mill Rd is a — bath, 27,878 sqft lot land.
Is 31977 Dixon Mill Rd a flip candidate?
No — 31977 Dixon Mill Rd does not appear in our flips dataset.
Is 31977 Dixon Mill Rd a tax-appeal candidate?
No — 31977 Dixon Mill 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
+7.7%
Implied 1-yr
+30.9%
2024 Q2
$182.7K
2024 Q3
$192.1K
ZIP 45647 — Median Price History + Forecast

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