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2776 Kenilworth Rd

Columbus, OH 43219

3 bd 1 ba 896 sqft Built 1963 Lot 6,000 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
2024 $41,825 $14,000 $55,825 $2,558
2023 $41,825 $14,000 $55,825 $2,526
2022 $15,015 $1,925 $16,940 $900
2021 $15,015 $1,925 $16,940 $902
2020 $15,015 $1,925 $16,940 $1,076
2019 $12,950 $1,750 $14,700 $1,064
2017 $12,950 $1,750 $14,700 $360
2016 $14,035 $3,675 $17,710 $594
2015 $14,035 $3,675 $17,710 $1,065
2014 $14,035 $3,675 $17,710 $540
2013 $16,520 $4,340 $20,860 $720
2012 $16,520 $4,340 $20,860 $719
2011 $16,520 $4,340 $20,860 $704

Property facts

Year built
1963
Property type
single_family
Stories
1
Beds
3
Baths
1
Living area
896 sqft
Lot size
6,000 sqft
ZIP code
43219
City
Columbus
Street
Kenilworth Rd
Coordinates
39.99274, -82.93112

Comparable properties nearby

Frequently asked questions

When did 2776 Kenilworth Rd last sell?
No public-record sale is on file for 2776 Kenilworth Rd.
What is the current tax assessment for 2776 Kenilworth Rd?
The most recent total assessment for 2776 Kenilworth Rd (year 2024) is $55,825 with $2,558 in property tax.
When was 2776 Kenilworth Rd built?
2776 Kenilworth Rd was built in 1963.
How does 2776 Kenilworth Rd compare to others on Kenilworth Rd?
We do not currently track other properties on Kenilworth Rd.
What are the property facts for 2776 Kenilworth Rd?
2776 Kenilworth Rd is a 3 bed, 1 bath, 896 sqft, 6,000 sqft lot single_family.
Is 2776 Kenilworth Rd a flip candidate?
No — 2776 Kenilworth Rd does not appear in our flips dataset.
Is 2776 Kenilworth Rd a tax-appeal candidate?
No — 2776 Kenilworth 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
-4.2%
Implied 1-yr
-16.7%
2026 Q3
$859.1K
2026 Q4
$809.9K
ZIP 43219 — Median Price History + Forecast

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