Lake Brooklyn in Clay County FL


Lake Brooklyn - Physical Feature (Lake) in Clay County

Lake Brooklyn is a physical feature (lake) in Clay County. The primary coordinates for Lake Brooklyn places it within the FL 32656 ZIP Code delivery area.

In the Maps and Aerial Photos section below, you'll find links to: (1) Local area photos around Lake Brooklyn, (2) A listing of the nearest hotels to Lake Brooklyn and (3) Driving Directions to Lake Brooklyn from almost anywhere. The location of Lake Brooklyn is marked on an interactive map. The map can be searched by either business name or business category.


Lake Brooklyn - Maps, Driving Directions & Local Area Information

Feature Name: Lake Brooklyn
Category: Florida physical, cultural and historic features
Feature Type: Physical
Class: Lake
County: Clay County
Latitude: 29.7997391
Longitude: -82.028729
GNIS ID: 308442
Camera Icon Photos of the local Clay County area

Neighborhood Data

Address Based Hyperlocal Data Input an address and get data & demographics for the pertinent census block group (CBG), a searchable map and a customized directory. The CBG is the smallest geographical unit used by the Census Bureau for reporting certain data.


Lake Brooklyn - Maps & Aerial Photos

Search the map for:
BIG Map | Driving Directions | Data Source - USGS GNIS ID: 308442


Nearby Cities, Towns & CDPs

Keystone Heights, FL (< 0.1 mile)
Hampton, FL (7.6 miles NW)
Waldo, FL (8.3 miles W)
Starke, FL (11.1 miles NNW)
Interlachen, FL (14.7 miles SE)
Hawthorne, FL (14.8 miles SSW)
Lawtey, FL (17.1 miles N)
Penney Farms, FL (18 miles NE)
Brooker, FL (19.3 miles WNW)

Other Small Populated Places

Loch Lommond, FL (< 0.1 mile)
Park of the Palms, FL (< 0.1 mile)
Jim Rod Mobile Home Park, FL (1.9 miles SSE)
Lake Geneva Mobile Home Park, FL (1.9 miles SSE)
Lake Geneva, FL (2.4 miles SSE)
Theressa, FL (3.6 miles NW)
Santa Fe Beach, FL (5.3 miles SW)
Earleton, FL (6 miles SW)
Putnam Hall, FL (6 miles SE)

Florida Research Tools

Florida Census Data Comparison Tool

Compare Florida Census Data
Highest or Lowest: