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2777 Gosling Way

Columbus, OH 43207

ba 5,610 sqft Built 1993 Lot 85,465 sqft other
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
2024 $229,215 $48,055 $277,270 $16,169
2023 $229,215 $48,055 $277,270 $16,073
2022 $175,595 $41,195 $216,790 $14,326
2021 $175,595 $41,195 $216,790 $14,520
2020 $210,700 $49,455 $260,155 $17,343
2019 $175,595 $41,195 $216,790 $15,530
2017 $175,595 $41,195 $216,790 $15,583
2016 $163,555 $41,195 $204,750 $15,224
2015 $163,555 $41,195 $204,750 $15,440
2014 $163,555 $41,195 $204,750 $15,777
2013 $163,555 $41,195 $204,750 $13,621
2012 $163,555 $41,195 $204,750 $13,595
2011 $163,555 $41,195 $204,750 $13,367

Property facts

Year built
1993
Property type
other
Stories
Beds
Baths
Living area
5,610 sqft
Lot size
85,465 sqft
ZIP code
43207
City
Columbus
Street
Gosling Way
Coordinates
39.90129, -82.92475

Comparable properties nearby

Frequently asked questions

When did 2777 Gosling Way last sell?
No public-record sale is on file for 2777 Gosling Way.
What is the current tax assessment for 2777 Gosling Way?
The most recent total assessment for 2777 Gosling Way (year 2024) is $277,270 with $16,169 in property tax.
When was 2777 Gosling Way built?
2777 Gosling Way was built in 1993.
How does 2777 Gosling Way compare to others on Gosling Way?
We do not currently track other properties on Gosling Way.
What are the property facts for 2777 Gosling Way?
2777 Gosling Way is a — bath, 5,610 sqft, 85,465 sqft lot other.
Is 2777 Gosling Way a flip candidate?
No — 2777 Gosling Way does not appear in our flips dataset.
Is 2777 Gosling Way a tax-appeal candidate?
No — 2777 Gosling Way 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
-15.1%
Implied 1-yr
-60.5%
2026 Q3
$136.4K
2026 Q4
$136.4K
ZIP 43207 — Median Price History + Forecast

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