Sold
Listing Courtesy of: GARDEN STATE MLS - IDX / Listed By: The Real Estate Company - Contact: 908-686-7800
242 Midland Ave Kearny Town, NJ 07032
Sold on 05/26/2026
$655,000 (USD)
Sold Date:
05/26/2026
05/26/2026
Lot Size
44.49 acres
44.49 acres
Type
Single-Family Home
Single-Family Home
Year Built
1890
1890
County
Hudson County
Hudson County
Listed By
Hernan Castro, The Real Estate Company, Contact: 908-686-7800
Bought with
Mickael Pereira, Exit Golden Realty Group LLC
Mickael Pereira, Exit Golden Realty Group LLC
Source
GARDEN STATE MLS - IDX
Last checked Jul 22 2026 at 8:11 AM GMT+0500
GARDEN STATE MLS - IDX
Last checked Jul 22 2026 at 8:11 AM GMT+0500
Bathroom Details
- Full Bathrooms: 3
Listing Price History
Date
Event
Price
% Change
$ (+/-)
Additional Information: The Real Estate Company | 908-686-7800
Disclaimer: The data displayed relating to real estate for sale comes in part from the IDX Program of the Garden State Multiple Listing Service, L.L.C. Real Estate listings held by other brokerage firms are marked as IDX Listing.Information deemed reliable but not guaranteed. Listing Data Copyright 2026 Garden State Mulitple Listing Service, L.L.C. All rights reserved
Notice: The dissemination of listings displayed herein does not constitute the consent required by N.J.A.C. 11:5.6.1(n) for the advertisement of listings exclusively for sale by another broker. Any such consent must be obtained inwriting from the listing broker.
This information is being provided for Consumers’ personal, non-commercial use and may not be used for anypurpose other than to identify prospective properties Consumers may be interested in purchasing.
Notice: The dissemination of listings displayed herein does not constitute the consent required by N.J.A.C. 11:5.6.1(n) for the advertisement of listings exclusively for sale by another broker. Any such consent must be obtained inwriting from the listing broker.
This information is being provided for Consumers’ personal, non-commercial use and may not be used for anypurpose other than to identify prospective properties Consumers may be interested in purchasing.
