Listing Courtesy of Re/Max Edge
$135,000
Staten Island, NY 10308
MLS# 1158841
Status: Closed
1 beds | 1 baths | 900 sqft
1 / 10
Property Description
Great kills area , large one bedroom lots of sun light open concept, large parking lot , laundry on premises and super on grounds . close to all transportation and stores. no board approval. CASH DEAL ONLY.
Details
Maps
Documents
AddressLegal
Street No.: 475-485
Street Name: Armstrong
Street Suffix: Avenue
County: Richmond
State: NY
Zip Code: 10308
Area Name: Great Kills
Parcel ID: 05229-0007
ContractLocation Information
Status: Closed
Listing Date: 2022-11-17
Sold Price: $135,000
Current Price: $135,000
Sub-Type: Apartment
Zoning: R 3-2
Block: 05229
Lot: 0007
General Property Info
Style: Other
Year Built: 1974
Year Built Description: Approx
Tax Abated: No
Lot Size SqFt: 900
Lot Dim: 15x60
Building SqFt: 900
Condition: Good
Total Rooms Main Unit: 3
Bedrooms: 1
Full Baths: 1
Total Baths: 1
Stories: 1
Garage Location: None
Basement Type: None
Waterview: No
No. of Heating Units: 1
Air Conditioner: Units
HOA Y/N: Yes
HOA Name: N/A
HOA Fee: 685
Fee Paid: Monthly
Public Remarks: Great kills area , large one bedroom lots of sun light open concept, large parking lot , laundry on premises and super on grounds . close to all transportation and stores. no board approval. CASH DEAL ONLY.
Status Change Info
Pending Date: 2023-09-28
Sold Date: 2023-12-13
Sold Price: $135,000
Projected Close Date: 2023-12-30
Property Features
Dining Room: Combination
HOA Fee Includes: Gas; Hot Water; Pool; Taxes; Tennis
Heat Source: Oil
Heat System: Other
Kitchen: Eat In
Living Room: Combination
Main Bath: Full Bath
Primary Bedroom: Suite
Parking: Off Street
Siding: Brick
Electric: 220
Room Information
| Room Name |
| Full Bathroom |
| Bedroom |
| Kitchen |
| Living Room |
Lead Based Paint Disclosure 
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.