New Haven Vlg Real Estate - Find Your Perfect Home For Sale!

58742 Pembrooke Avenue

$226,990

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Most Expensive

58660 Victoria

$449,900

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Least Expensive

New Haven Vlg Listings Summary

New Haven Vlg - Town vs. County Stats

Avg Price in New Haven Vlg: $247,800 / County Avg $300,000

41%

Avg Taxes in New Haven Vlg: $500 / County Avg $4,100

Avg Sq. Ft. in New Haven Vlg: 2,136 / County Avg 1,926

55%

Avg Price per/ft² in New Haven Vlg: $116 / County Avg $156

74%

Avg Walkscore in New Haven Vlg: 25 / County Avg 34

37%

Avg Year Built in New Haven Vlg: 2002 / County Avg 1978

51%

Avg Days on Website in New Haven Vlg: 214 / County Avg 82

130%

New Haven Vlg Real Estate Market Health

New Listings

Reductions

Foreclosures

Short Sales

Areas in New Haven Vlg MI
New Haven Vlg

Neighborhoods in New Haven Vlg MI
DECORA PARK CONDO #813
PEMBROOKE CONDO #911

Brown Brothers Real Estate Group

442 S. Old Woodward
Birmingham, MI 48009
248-780-8137

Should you require assistance in navigating our website or searching for real estate, please contact our offices at 248-780-8137.

MLS® Disclaimer

IDX provided courtesy of Realcomp II Ltd., via Brown Brothers Real Estate Group and The Originating MLS(found above), © 2020 Realcomp II Ltd. Shareholders. 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.

Data is updated as of October 28, 2020 4:15 AM UTC Information deemed reliable but not guaranteed. The data relating to real estate on this web site comes in part from the Internet Data Exchange (IDX) Program of Realcomp Ltd. Real estate listings held by firms other than Brown Brothers Real Estate Group are marked with the Realcomp Internet Data Exchange logo or thumbnail logo and detailed information about them includes the Listing Broker's Firm Name. 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. Show More...