Your AI Navigator in Commercial Real Estate
Sign Up Successful!
You now have access to more from Realmo!
    Brokers
    • For Sale
    • For Lease
    • Recently Sold
    • Property Lookup
    • Brokers

    Lynn Bulman, Elizabeth City, NC

    License ID: 201230
    Years of Experience
    21
    Association
    Albemarle Area Association Of Realtors

    Service Locations

    Contact details

    Phone:
    (252) 339-6517
    Office Address:
    529 S Hughes Blvd, Elizabeth City, NC, 27909-4528

    Property Types

    • Commercial Sale

    Performance

    Listings
    3
    Total transactions
    171
    Total transactions amount
    $48M
    Price range
    $19.5k - 1.4M
    Average price
    $281k

    Listings

    For Sale (3)

    View map
    • $95,000
      1.41 Acres

      Commercial Lot on US 17

      1.408 acre commercial lot with high visibility.
      Us Highway 17 S, Elizabeth City, NC 27909
      View Details
    • $230,000
      0.19 Acres

      Jarvisburg Waterfront Commercial Land

      Soundfront lot, two sheds, $230,000
      112 Caco St, Jarvisburg, NC 27947
      View Details
    • $68,000
      1.52 Acres

      Edenton Waterfront Commercial Land

      1.52 Acres, Gated Community, R15 Zoning
      133 Lake Wood Dr, Edenton, NC 27932
      View Details

    Leases and Sales on Map

    • For Sale

    Properties for sale

    Web Page
    View other agents
    in the same area
    Request Owner's contact information
    Lynn Bulman, Elizabeth City, NC
    Message sent successfully
    Error
    If you are the owner or broker of this property and would like to edit or remove this listing please send a message to web site administrator.
    Message sent successfully
    Error
    Email to Your Friends
    Link copied to clipboard
    Separate multiple addresses with a comma
    Message sent successfully
    Error

    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.

    Send Message to
    Lynn Bulman, Elizabeth City, NC
    Thanks! Your message was sent.
    Error! Your message wasn't sent.
    Please enter your name
    Please enter email
    Please enter the email in the correct format
    Please enter phone
    Please enter the number in the correct format
    Please enter message
    (252) 339-6517
    Google sign-in failed. Please try again or use another login method.
    Create New Password
    • At least 8 characters
    • Contains both letters and numbers
    • Contains uppercase and lowercase letters
    • At most 32 characters
    • Password required
    • Password reset link has expired. Please request a new one.