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    Michael Stavinoha, Houston, TX

    License ID: 0675302
    Keller Williams Realty
    Years of Experience
    7
    Association
    Houston Association Of Realtors Inc

    Contact details

    Phone:
    (979) 320-4303
    Office Address:
    1115 Peveto St Unit C, Houston, TX, 77019

    Performance

    Listings
    7
    Total transactions
    54
    Total transactions amount
    $22M
    Price range
    $271k - 611k
    Average price
    $407k

    Listings

    For Sale (4)

    View map
    • $1,560,000
      9,750 SF

      New Industrial Facility Near Highway

      Industrial facility with flexible space options near major transportation routes.
      708 Damascus Dr, Rosenberg, TX
      View Details
    • $2,200,000

      Raw Land in Developing Area

      Raw land in a developing area near schools and airports.
      1372 Queens St, Pasadena, TX
      View Details
    • $2,100,000

      Prime Lot in Houston Heights

      Land for redevelopment or owner use in Houston Heights.
      1211 Gibbs St, Houston, TX 77009
      View Details
    • $420,000

      New Construction Houston Duplex

      New construction duplex in Houston with modern design and open layouts.
      7989 Sunbury St, Houston, TX 77028
      View Details

    For Lease (3)

    View map
    • Contact for pricing
      19,075 SF

      New Construction Industrial Park Space

      New industrial park with flexible lease options available.
      7933 Ley Rd, Houston, TX 77028
      View Details
    • Contact for pricing
      13,000 SF

      Modern Retail Space in Katy

      New retail space with frontage on Interstate 10.
      28347 Katy Fwy, Katy, TX 77494
      View Details
    • $10 SF/Yr
      7,124 SF

      Retail Space in El Campo

      Second generation hair salon/spa with expandable space.
      101 E Monseratte St, El Campo, TX
      View Details

    Leases and Sales on Map

    • For Sale
    • For Lease

    Properties for sale

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    Michael Stavinoha, Houston, TX
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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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    Michael Stavinoha, Houston, TX
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