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    315 W 33Rd St New York, NY 10001

    For Lease
    Contact for pricing

    32,700 SF retail space near major transportation hubs.

    Property size:
    32,700 SF
    Lot size:
    1.08 Acres

    Property Features for 315 W 33Rd St

    General Information

    Size
    32,700 SF
    Lot size
    1.08 Acres

    Source: Newmark - Corporate Agent Ariel Schuster

    Displayed information is deemed reliable but is not guaranteed and should be independently verified.

    Overview

    Prime Retail Space Near Penn

    This retail space, encompassing 32,700 square feet, is located within steps of Manhattan West, Moynihan Train Hall, Penn Station, and Madison Square Garden. Entrances to the second floor are available on both 33rd and 34th Streets. The space is ideal for entertainment, a big box retailer, or a grocer.
    Property Profile Insight Report Location Intelligence

    Current Use by Public Records

    Furnished Quarters Short Term Apartment Rental Agency Nursing Champ Nursing Agency Agaligo Clinic Medical Clinic The Arora Company Marketing Agency

    Suggested Use

    Restaurant Realty agency Hair Salon Spa & Massage Dental Office Nail Salon Food Market Law Firm Grocery Store Daycare Center

    Zoning and permitted uses should be independently verified with local authorities.

    Location Insight

    • Map
    • Local Demand
    City
    New York
    County
    New York
    State
    New York
    Longitude
    -73.9947251
    Latitude
    40.7519637

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    FAQs

    What type of property is this?
    Retail space - 32,700 SF retail space near major transportation hubs.
    Where is this retail space located?
    The property is located at 315 W 33Rd St New York, NY.
    What are key features of this property?
    This property features: - Entrances on both 33rd and 34th Streets; - Proximity to Manhattan West; - Close to Moynihan Train Hall
    (212) 372-2000
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    New York, NY 10001
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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
    315 W 33Rd St New York, NY 10001
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