Location and Demographics

Locate Gananoque on Google Maps

Proximity to Markets

Gananoque to:

  • New York, New York 575 km, (375 mi)
  • Cleveland, Ohio 704 km, (437 mi)
  • Boston, Massachusetts 665 km, (413 mi)
  • Detroit, Michigan 654 km, (406 mi)
  • Quebec City, QC 509 km, (316 mi)
  • Toronto, ON 292km, (181 mi)
  • Ottawa, ON 165 km, (102 mi)

Border Crossing Detail

  • Interstate -81 is only 15 km (9 mi) from Gananoque
  • Direct Access to Major Cities in the Northeast Via Interstate 81 and Canada's 400 Series Highways
  • 24 Hour Continuous Service and Operation
  • U.S. and Canadian Customs Clearance 24 Hours Daily
  • Several Major Brokerage Firms Available
  • Ability to Handle Special and Oversize Loads (with moderate escort fees)
  • Thousand Island Bridge Authority

Demographics

Strategic / Development Advantage

  • Only 15 km (9 mi) to the U.S Interstate-81
  • Gananoque is located adjacent to Hwy 401 with two interchanges
  • Classified as a Rural Community, Businesses in Gananoque are Eligible for Federal funding that addresses Training, Marketing/Business Plans and Capital Loans through the Eastern Ontario Development Program (EODP)
  • 2018 Commercial Tax Rate (municipal and education) 0.0374

Population and Dwelling Counts

Gananoque

Population in 2016

5,383

Population percentage change, 2016 to 2021 4.3

Total private dwellings

2,767

Land area (square km)

7.01

Median age of the population

47.2

% of the population aged 15 and over 

 

91.4%

Statistics Canada, 2021 Census of Population.

Labour Force Data Locating Gananoque

  • Manufacturing industry makes up 20% of labour force
  • Retail (10%), construction (9%) and public administration (8%)
  • Gananoque's labour force is focused on manufacturing, but also has a strong service oriented economy.
  • The average employment income of the Town and Township of Leeds and the Thousand Islands is lower than the Ontario average of $33,649.00
  • The Town of Gananoque has an low unemployment rate of 8.4%

(Above Data Source: Manifold Data Mining 2016)