00 Dana Shores Dr, Honeoye, NY 14471

Listing office Keller Williams Realty Greater Rochester L***@strategicpartnersteam.com Show Phone

Listing date Nov 28, 2025

Source Elliman

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

All listing content including descriptions, pricing, images are the copyrighted material of Keller Williams Realty Greater Rochester

Report an issue

---

Overview

This land is available for sale in Richmond, NY. The list price is $60,000.

Suggested Use

Hotel & Motel Bed & Breakfast Gym & Fitness Center Travel Agency Real Estate Agency

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

Location Insight

• Map
• Local Demand

City

Honeoye

County

Ontario

State

New York

Longitude

-77.5058

Latitude

42.7273

Nearby Similar for Sale

• 

  $350,000

  496 SF

  Waterfront Land with Existing Cottage

  Two-lot waterfront offering with 100 feet of frontage on Honeoye Lake and an existing cottage while plans are made.

  6235 Southwest Shrs, Honeoye, NY 14471

  View Details
• 

  $52,500

  20,000 SF

  Wooded Land Near Honeoye Lake

  Nearly half-acre wooded parcel ideal for recreation or residential building.

  Dana Shores Drive, Honeoye, NY 14471

  View Details
• 

  $120,000

  1,200 SF

  Commercial Building Near Honeoye Lake

  1200 SF commercial building with newer roof and HVAC.

  8742 Main St, Richmond, NY 14471

  View Details
• 

  $249,900

  2,006 SF

  Honeoye Retail Units For Sale

  Four retail units plus a garage in downtown Honeoye.

  4810 Briarcliff Sq, Honeoye, NY

  View Details
• 

  $45,000

  LAND - Honeoye, NY

  Lake Road, Honeoye, NY 14471

  View Details

FAQs

What type of property is this?

Land - Land available for sale in Richmond, NY.

Where is this land located?

The property is located at 00 Dana Shores Dr Honeoye, NY.

What is the asking price?

The asking price for this property is $52,500.

What are key features of this property?

This property features: No selling points could be extracted from the provided property information.