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    Happy Ave Swan Lake, NY 12720

    • Land
    • 19.20 lot acres
    OFF-MARKET
    Value Estimation
    Location Intelligence

    Current Use by Public Records

    • Land

    Property Details for 0 Happy Ave

    Lot size
    19.20 lot acres
    Property type
    Land

    Description

    This exceptional 19.2-acre commercial land parcel in Bethel, New York, presents a unique investment opportunity. Located on Happy Avenue, the property boasts approximately 600 feet of road frontage and extends approximately 1400 feet in depth (APN: 2000-026-0-0001-022-004). Currently zoned for single-family dwellings, the property offers potential for further development subject to planning board approval. The land is priced at $149,000, translating to $7,760.42 per acre. Its idyllic location provides easy access to a wealth of recreational activities and attractions. Enjoy the tranquility of Sullivan County, while being conveniently close to Bethel Woods Center for the Arts, local farmers' markets, the Delaware River, lakeside dining options, Resorts World Catskills Casino, and Kartrite Indoor Waterpark. The area is renowned for its vibrant arts scene, festivals, hiking trails, boating opportunities, and swimming areas. Embrace the natural beauty of the region, with opportunities for hunting, four-wheeling, and exploring the surrounding wilderness. This property offers a blend of recreational appeal and significant development potential, making it an attractive investment in a thriving upstate New York location. The zip code is 12720. The property is situated at latitude 41.684953 and longitude -74.861206.

    Value Estimation

    Powered by Realmo proprietary methodology Last update: July 3, 2025

    • CAP approach

    • Comparable approach

    • Alternative Use

    Location Insight

    • Map
    • Local Demand
    City
    Swan Lake
    County
    Sullivan
    State
    New York
    Longitude
    -74.8612
    Latitude
    41.685

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    Happy Ave
    Swan Lake, NY 12720
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    Realmo Value Estimation

    Realmo estimates a property’s market value using a proprietary methodology that incorporates public data and user-submitted information. This cumulative value is generated by integrating a variety of conventional and innovative methods. 

    Disclaimer

    These figures are not official appraisals and should not be used as a substitute for a valuation performed by a licensed appraiser.

    Actual market value may differ due to factors not captured in the data. Estimates are offered for informational purposes only, and users should conduct independent research before making financial or investment decisions.

    By using this feature, you acknowledge that Realmo is not responsible for actions taken based on these estimates.

    AI approach

    Realmo AI Method estimates property value using machine learning models trained on millions of comparable listings, transactions, and market signals. It analyzes property features, location intelligence data, and current market dynamics to predict the most probable market value in real time.

    Cap approach

    Capitalization Method calculates value based on estimated net operating income (NOI) and applying a market-based capitalization rate (cap rate), we estimate what a typical investor might be willing to pay for it.

    Comparable approach

    Comparable estimate is based on recent sales of similar nearby properties, adjusted for factors like size, condition, and location.

    Relative

    Relative property class coefficient uses factors that account for typical price differences between various asset types (e.g., retail vs. industrial) to provide a more accurate market-aligned estimate.

    Geo

    Comparable Sales Method, enhanced by Geo coefficients — location-based adjustment factors that reflect differences in price levels across neighborhoods, cities, or regions ensuring a more accurate, market-sensitive valuation.

    Alternative use

    Estimate considers the property’s potential value if used for a different purpose-based on zoning, demand, and market feasibility.

    More about this property
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