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    Property profile & analytics

    99 Laura St New Haven, CT 06512-1607

    • Industrial properties
    • 10,324 SF
    • 0.25 lot acres
    OFF-MARKET
    Value Estimation
    $390,000
    Last Sale
    Sep 13, 2024
    $400,000
    Location Intelligence
    Property ID
    US15-0345043
    The Realmo ID is a unique identifier assigned to every property, incorporating country codes and precise geo-coordinates for 300x300-foot land blocks. It enables standardized data collection and seamless integration of disparate sources such as ownership, tax, title data and physical specifications. By aggregating current and historical records, the Realmo ID powers advanced analytics and delivers deep, verifiable insights for real estate professionals.

    Current Use by Public Records

    • Cedro Wholesale Banana District / Produce Market

    Property Details for 99 Laura St

    Year built
    1962
    Construction
    MASONRY/CONCRETE MASONRY UNITS (CMUS)
    Lot size
    0.25 lot acres
    Property size
    10,324 SF
    Zone code
    IH
    Property type
    Industrial properties
    APN
    NHVN M:077 B:0976 L:00100
    APU
    NHVNM077B0976L00100

    Value Estimation

    by Realmo proprietary methodology Last update: July 3, 2025

    • AI approach

      CAP return
      Estimation
      Estimation
      $400,000

    • CAP approach

      CAP return
      Estimation
      6%
      $350,000
      6.5%
      $360,000
      7%
      $365,000

    • Comparable approach

      Method
      Estimation
      Relative Method
      $370,000
      Geo Method
      $320,000

    • Alternative Use

      Use
      Estimation
      Distribution
      $420,000
      Retail
      $335,000
      Mixed-Use
      $360,000
      Hospitality
      $365,000
      Educational
      $350,000
      Residential Income
      $380,000
      Energy
      $355,000
      Income-Based Land
      $425,000
      Food Service
      $320,000

    Location Insight

    • Map
    • Local Demand
    City
    New Haven
    County
    New Haven
    State
    Connecticut
    Longitude
    -72.8962
    Latitude
    41.2961
    CBSA code
    35300
    CBSA name
    NEW HAVEN-MILFORD, CT METROPOLITAN STATISTICAL AREA

    Property Tax & Assessments

    Tax date
    Tax Amount
    Assessed Land Value
    Assessed Improvement Value
    Total Assessed Value
    Applied Tax Rate
    Land Market Value
    Improvement Market Value
    Total Market Value
    2024
    $11,726
    $72,660
    $231,910
    $304,570
    -
    $0.00
    $0.00
    $0.00

    Comparable in this City

    • Value Estimation by Request
      11.10 Acres

      1 Waterfront St

      INDUSTRIAL (GENERAL) • 11.10 Acres
      1 Waterfront St, New Haven, CT 06512-1714
      View Details
    • Value Estimation by Request
      5,596 SF

      481 Shr Pkwy

      INDUSTRIAL (GENERAL) • 5,596 SF
      481 Shr Pkwy, New Haven, CT 06512-1813
      View Details
    • Value Estimation by Request
      2.18 Acres

      135 Fulton Ter

      Land • 2.18 Acres
      135 Fulton Ter, New Haven, CT 06512
      View Details
    • Value Estimation by Request

      105 Ter St

      INDUSTRIAL (GENERAL)
      105 Ter St, New Haven, CT 06512-2623
      View Details
    • Value Estimation
      $660,000
      3,492 SF

      110 Kendall St

      INDUSTRIAL (GENERAL) • 3,492 SF
      110 Kendall St, New Haven, CT 06512-1823
      View Details
    • Value Estimation by Request
      676 SF

      15 Baer Cire1

      CONDOMINIUMS (INDUSTRIAL) • 676 SF
      15 Baer Cire1, East Haven, CT 06512-4100
      View Details

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    Similar Nearby for Lease

    • $12,000 /Mo
      435,600 SF

      Prime Industrial Land for Lease

      Large Outdoor Storage, Excellent Access
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      View Details
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    • $1,000 /Mo

      Land for Truck/Trailer Storage

      Raw land available for outside storage, easy highway access.
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    • $3,200 /Mo
      1,897 SF

      High Visibility Medical/Commercial Office

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    99 Laura St
    New Haven, CT 06512-1607
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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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