Sign Up Successful!
You now have access to more from Realmo!
    For Sale
    • For Sale
    • For Lease
    • Recently Sold
    • Property Lookup
    • Brokers
    AI Search
    Back to Search
    The Largest CRE Database in the US with Over 1 Million Listings

    2939 N Us 33 Hwy Kimmell, IN 46760

    Sponsored
    Picture of Mixed-use properties at N Us 33 Hwy 2939, Kimmell, IN
    For Sale
    Pending
    $325,000

    Mixed Use, Storage Unit/Facility,Other - Kimmell, IN

    Type:Mixed Use
    Lot size:
    2.77 Acres
    Days on Market:
    9
    Last Refresh:
    Feb 6 at 8:06 am

    Property Features for 2939 N Us 33 Hwy

    General Information

    Property type
    Commercial Sale
    Property subtype
    Mixed Use
    Standard status
    Pending
    Rooms
    Bathroom 1, Bathroom 2, Bathroom 3, Bathroom 4
    Bathrooms
    4
    APN
    57-16-24-400-033.000-015
    Parking features
    Off Street
    Interior features
    Drywall, Metal, Wood, Single Phase
    Exterior features
    Fence, Single Phase, Fenced
    Fencing
    Fenced
    Lot size
    2.77 Acres

    Utilities

    Heating system
    Propane (Heating), Wall Furnace

    Building Details

    Year built
    1968
    Floors in Building
    1
    Flooring type
    Carpet, Vinyl
    Roof type
    Asphalt, Metal
    Architectural style
    Other

    We can help!

    Listing Contact
    Josh Rosenogle

    Orizon Real Estate Inc (260) 248-8961

    Listing agent Josh Rosenogle (260) 248-8961 License #RB14042680

    Listing date Jan 29, 2026

    MLS# 202602953 Listing URL

    Copyright © 2026 Upstate Alliance of REALTORS® Multiple Listing Service, Inc. All rights reserved. All information provided by the listing agent/broker is deemed reliable but is not guaranteed and should be independently verified.

    Learn more

    Property Insight Report

    Overview

    Storage Facility and Apartments

    This mixed-use property in Kimmell, Indiana, features a storage facility and apartments. The property is situated on 2.767 acres in Noble County. This listing is for comparative purposes only.
    Property Profile Insight Report Location Intelligence

    Current Use by Public Records

    Self storage facilities

    Map

    City
    Kimmell
    County
    Noble
    State
    Indiana
    Longitude
    -85.552055
    Latitude
    41.394609

    FAQs

    What type of property is this?
    Mixed-use property - Mixed-use property with storage units and apartments in Kimmell.
    Where is this mixed-use property located?
    The property is located at 2939 N Us 33 Hwy Kimmell, IN.
    What is the asking price?
    The asking price for this property is $325,000.
    What are key features of this property?
    This property features: - Multiple Bathrooms: Benefit from the convenience of four bathrooms (Bathroom 1, Bathroom 2, Bathroom 3, Bathroom 4).; - Enjoy the ease of off street parking.; - Fenced property providing security and privacy.
    (260) 385-0013
    Request Owner's contact information
    2939 N Us 33 Hwy Kimmell, IN 46760
    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.
    2939 N Us 33 Hwy
    Kimmell, IN 46760
    Message sent successfully
    Error
    Email to Your Friends
    Link copied to clipboard
    Separate multiple addresses with a comma
    Message sent successfully
    Error

    Realmo Value Estimations

    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.

    Realmo CapRate Calculation

    Realmo calculates the Capitalization Rate (Cap Rate) to help estimate a property's potential return on investment. The Cap Rate is a fundamental metric in commercial real estate that measures the relationship between a property's net operating income and its market value.

    How We Calculate Cap Rate

    Cap Rate Formula:
    Cap Rate (%) = (Net Operating Income / Property Value) × 100

    Net Operating Income (NOI) Formula:
    NOI = Area × Lease Rate × (1 - Vacancy Rate) × (1 - Operating Expense Ratio)

    Components

    Net Operating Income (NOI) represents the annual income a property generates after operating expenses:

    • Area: Building square footage from property records
    • Lease Rate: Annual $/sqft based on market data for the property type and geographic location
    • Vacancy Rate: Percentage of unoccupied space based on market data for the property type and location
    • Operating Expense Ratio: Operating costs as a percentage of income, varies by property type

    Property Value is derived from:

    • Recent sale price (if available)
    • Statistical models using comparable sales
    • AI-powered valuation estimates

    Example Calculation

    For a 100,000 sqft Office Building:

    • Lease Rate: $25.00/sqft/year (market data for Office in this area)
    • Vacancy Rate: 8% (market data for Office in this area)
    • Operating Expense Ratio: 35% (typical for Office properties)
    • Property Value: $15,000,000

    Step 1: Calculate NOI

    NOI = 100,000 × $25.00 × (1 - 0.08) × (1 - 0.35)
    NOI = 100,000 × $25.00 × 0.92 × 0.65
    NOI = $1,495,000/year

    Step 2: Calculate Cap Rate

    Cap Rate = ($1,495,000 / $15,000,000) × 100
    Cap Rate = 9.97%

    Property Type Considerations

    Net Operating Income calculations vary by property type due to different operating expense ratios:

    • Office: Higher expenses (30-40%) for HVAC, utilities, maintenance
    • Retail: Moderate expenses (25-35%) for common area maintenance
    • Industrial/Warehouse: Lower expenses (15-25%) for minimal tenant services
    • Multifamily: Moderate expenses (35-45%) including property management
    • Self-Storage: Lower expenses (25-35%) due to minimal maintenance

    Market lease rates and vacancy rates are specific to each property type and geographic location, reflecting local market conditions.

    Disclaimer

    These calculations are estimates for informational purposes only and should not be used as a substitute for professional financial analysis or appraisal.

    • Cap Rate calculations depend on market data that may change over time
    • Actual operating expenses, lease rates, and vacancy rates may differ from market averages
    • Individual property conditions, lease terms, and tenant quality significantly impact actual NOI
    • Property value estimates are approximations and not official appraisals
    • Cap rates vary widely by market, property condition, and investment risk profile

    Professional Guidance Recommended: Before making any investment or financial decisions, consult with licensed appraisers, commercial real estate brokers, and financial advisors who can evaluate your specific property and circumstances.
    By using this feature, you acknowledge that Realmo is not responsible for investment decisions or actions taken based on these estimates.

    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.

    Stat Estimate

    This method estimates value based on actual market adjusted recent (~5 years) sales of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all similar sales ($/sqft) are above this value
    • Range-to: 75% of all similar sales ($/sqft) are below this value
    AI Estimate

    This method estimates value based on AI market estimation of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all estimations ($/sqft) are above this value
    • Range-to: 75% of all estimations ($/sqft) are below this value
    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
    2939 N Us 33 Hwy Kimmell, IN 46760
    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
    Thank You

    You are Unsubscribed From Notifications

    We can help!
    Listing Contact
    Josh Rosenogle
    Real Estate License ID: RB14042680
    (260) 385-0013
    Learn more
    Google sign-in failed. Please try again or use another login method.