1401 Elizabeth Drive Sw, Hartselle
+12568138421
Lamica Realty
Welcome to Ensa Econ, a hidden gem nestled in the heart of Hartselle, Alabama, within the picturesque Morgan County. This charming subdivision is the perfect blend of serene suburban living and modern conveniences, making it an ideal choice for families, young professionals, and retirees alike.
Ensa Econ is characterized by its beautifully designed homes, each exuding a unique charm that reflects the warm Southern hospitality of the area. The neighborhood boasts spacious lots, lush green spaces, and tree-lined streets that invite you to take leisurely strolls or enjoy outdoor activities with family and friends. With a strong sense of community, residents often gather for neighborhood events, fostering connections that make Ensa Econ feel like home.
One of the standout features of Ensa Econ is its prime location. Just a short drive away, you’ll find a variety of shopping, dining, and entertainment options in downtown Hartselle. The area is also conveniently located near major highways, providing easy access to nearby cities like Decatur and Huntsville for those who commute or seek a broader array of amenities.
Families will appreciate the highly-rated schools in the Hartselle City School District, known for its commitment to academic excellence and student development. Additionally, the surrounding natural beauty offers ample opportunities for outdoor enthusiasts, with parks, walking trails, and recreational facilities nearby.
Discover the charm and community spirit of Ensa Econ—a place where your dream home awaits and the possibilities for a fulfilling lifestyle are endless. Come explore this delightful neighborhood and see why so many have chosen to call Ensa Econ home!

Listing data is derived in whole or in part from NALMLS and is for consumers' personal, non-commercial use only. All data should be independently verified..
This information is provided exclusively 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 deemed reliable but not guaranteed.
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