Keasbey (in Middlesex County, NJ) Populated Place Profile


Keasbey: Basic Facts & Information

Keasbey (GNIS FID: 877527) is a populated place located within the Township of Woodbridge, a minor civil division (MCD) of Middlesex County.

The elevation of Keasbey is 39 feet. Keasbey appears on the Perth Amboy U.S. Geological Survey Map. Middlesex County is in the Eastern Time Zone (UTC -5 hours).

Middlesex County: Subdivisions (MCDs) | Cities & Towns | ZIP Codes | Features (airports, churches, hospitals, etc.)

Nearby Hotels | Driving Directions

Use HTL Address Research for a New Jersey Address and get...

Boundary Maps, Demographic Data, School Zones Review maps and data for the neighborhood, city, county, ZIP Code, and school zone. July 1, 2020, data includes home values, household income, percentage of homes owned, rented or vacant, etc.


Mapped Location of Keasbey

BIG Map | Driving Directions | Terrain Map | Satellite Map | Data Source - USGS GNIS FID: 877527

BOUNDARY MAPS: Township of Woodbridge | Middlesex County

Quick & Easy Ways to...

  1. Get Current Demographic Data for Cities, Towns, and ZIP Codes
  2. View Boundary Maps, for Cities, Towns, and ZIP Codes
  3. Locate Physical, Cultural, and Historical Features

Nearby Cities, Towns & Census Designated Places

Fords, NJ (1.4 miles NNW)
Perth Amboy, NJ (2.4 miles ESE)
South Amboy, NJ (2.7 miles SSE)
Woodbridge, NJ (3.1 miles NNE)
Sewaren, NJ (3.4 miles NE)
Metuchen, NJ (3.6 miles WNW)
Colonia, NJ (4.1 miles N)
Iselin, NJ (4.1 miles NNW)
Port Reading, NJ (4.1 miles NE)
Avenel, NJ (4.5 miles NNE)

Nearby Neighborhoods, Subdivisions & Other Small Populated Places

Sand Hills, NJ (< 0.1 mile)
Hopelawn, NJ (< 0.1 mile)
Valentine, NJ (1.4 miles NW)
John J Delaney Homes, NJ (1.9 miles NE)
William Dunlap Homes, NJ (1.9 miles ENE)
Raritan Manor, NJ (1.9 miles NW)
Phoenix, NJ (1.9 miles WNW)
Mechanicsville, NJ (1.9 miles SSE)
Melrose, NJ (1.9 miles SSE)
Harbor Terrace, NJ (2.4 miles ESE)

New Jersey Census Data Comparison Tool

Compare New Jersey July 1, 2020 Data
Highest or Lowest: