$499,888
29 Eva Avenue
Staten Island, NY 10306
MLS# 1109943
3 beds  |  2 baths  |  2136 sqft


29 Eva Avenue, Staten Island, NY 10306
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29 Eva Avenue, Staten Island, NY 10306 29 Eva Avenue, Staten Island, NY 10306 29 Eva Avenue, Staten Island, NY 10306 29 Eva Avenue, Staten Island, NY 10306 29 Eva Avenue, Staten Island, NY 10306

Property Description
Large detached high ranch currently zoned as R-2 previously used as day care. Taxes reflect commercial use and can be easily converted back to residential property. Oversized home great for large family or to own and operate day care. Home is in good condition. Close to all shopping and transportation. Consult your architect for highest and best usage.

Details
Maps
Documents
Address/Legal
Street No.: 29
Street Name: Eva
Street Suffix: Avenue
County: Richmond
State: NY
Zip Code: 10306
Area Name: Oakwood
Parcel ID: 4058-326
Contract/Location Information
List Price: $499,888
Current Price: $499,888
List Price/SqFt: 234.03
Sub-Type: Single Family - Detached
Ownership Type: Fee Simple
Zoning: R32
Block: 4058
Lot: 326
CofO: Yes
REO: No
List Type: Exclusive Right to Sell
Owner Finance: No
General Property Info
Style: Hi Ranch
Year Built: 1965
Year Built Description: Approx
Taxes: 13475
Tax Abated: No
Lot Size SqFt: 4371
Lot Dim: 47 X93
Building SqFt: 2136
Condition: Good
Total Rooms Main Unit: 7
Bedrooms: 3
Full Baths: 2
Total Baths: 2
Stories: 2
Garage Location: None
Basement Type: None
Waterview: No
No. of Heating Units: 1
Air Conditioner: None
Status Change Info
Status: Active
Property Features
Dining Room: Separate
Heat Source: Gas
Heat System: Forced Air
Kitchen: Eat In
Living Room: Separate
Main Bath: Full Bath
Master Bedroom: Shared Bath
Parking: Off Street
Siding: Vinyl
Electric: 220

Listing Office: Staten Island Premiere Properties

Last Updated: February - 08 - 2018

Listing data provided courtesy of Staten Island Multiple Listing Service. The information being provided is for consumers personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing.

Thursday 22nd of February 2018 04:50 PM