Indian Lake in Bradford County FL


Indian Lake, Bradford County, Florida

Indian Lake is a physical feature (lake) in Bradford County. The primary coordinates for Indian Lake places it within the FL 32631 ZIP Code delivery area.

Maps, Driving Directions & Local Area Information

Feature Name: Indian Lake
Category: Florida physical, cultural and historic features
Feature Type: Physical
Class: Lake
County: Bradford County
Latitude: 29.7793632
Longitude: -82.0630291

Indian Lake - Location Map

BIG Map | Driving Directions | Terrain Map | Satellite Map

Use HTL Address Research for a Florida 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, 2021, data includes home values, household income, percentage of homes owned, rented or vacant, etc.


Note that you do not have the right to enter private property without the owner's permission. You do have a right to access goverment property that is open to the general public. The GNIS Feature Detail Report for Indian Lake does not include property ownership information.

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 & CDPs

Keystone Heights, FL (1.9 miles ENE)
Waldo, FL (6.3 miles W)
Hampton, FL (7.1 miles NW)
Starke, FL (11.8 miles NNW)
Hawthorne, FL (13.1 miles S)
Interlachen, FL (14.9 miles SE)
Brooker, FL (17.8 miles WNW)
Gainesville, FL (18 miles WSW)
Lawtey, FL (18.3 miles N)

Other Small Populated Places

Park of the Palms, FL (1.9 miles ENE)
Santa Fe Beach, FL (2.7 miles SW)
Jim Rod Mobile Home Park, FL (2.7 miles E)
Lake Geneva Mobile Home Park, FL (3.1 miles E)
Earleton, FL (3.4 miles SW)
Lake Geneva, FL (3.4 miles E)
Loch Lommond, FL (3.4 miles ENE)
Theressa, FL (3.9 miles N)
Lake Alto Estates, FL (4.1 miles W)

Florida Census Data Comparison Tool

Compare Florida July 1, 2021 Data
Highest or Lowest: