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    • Brokers

    Christopher Lunn, Berlin, NH

    License ID: 59685
    Years of Experience
    16
    Languages
    English
    Association
    North Country Board Of Realtors

    Service Locations

    Contact details

    Phone:
    (603) 752-0003
    Office Address:
    232 Glen Ave, Berlin, NH 03570

    Property Types

    • Land
    • Residential Multi Family

    Performance

    Listings
    2
    Total transactions
    202
    Total transactions amount
    $29M
    Price range
    $96k - 216k
    Average price
    $144k

    Listings

    For Sale (2)

    View map
    • $279,000
      2,799 SF

      Lancaster Multi-Family with Garage

      Three-family building with garage and barn in Lancaster, NH.
      8 Williams St, Lancaster, NH 03584
      View Details
    • $499,000
      2.25 Acres

      Commercial Land on Route 16/302

      Commercial zoned land with high visibility and traffic count.
      135 And 302 Hwy, Bartlett, NH 03845
      View Details

    Leases and Sales on Map

    • For Sale

    Properties for sale

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    Christopher Lunn, Berlin, NH
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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.

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    Christopher Lunn, Berlin, NH
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