Hobart Park in Calumet County WI


Hobart Park - Cultural Feature (Park) in Calumet County

Hobart Park is a cultural feature (park) in Calumet County. The primary coordinates for Hobart Park places it within the WI 53014 ZIP Code delivery area.

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


Hobart Park - Maps, Driving Directions & Local Area Information

Feature Name: Hobart Park
Category: Wisconsin physical, cultural and historic features
Feature Type: Cultural
Class: Park
County: Calumet County
Latitude: 44.0233247
Longitude: -88.1689897
GNIS ID: 1566496
Camera Icon Photos of the local Calumet 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.


Hobart Park - Maps & Aerial Photos

Search the map for:
BIG Map | Driving Directions | Data Source - USGS GNIS ID: 1566496


Nearby Cities, Towns & CDPs

Chilton, WI (< 0.1 mile)
New Holstein, WI (6.6 miles SE)
Stockbridge, WI (7.2 miles WNW)
Potter, WI (7.6 miles NNE)
Hilbert, WI (8.1 miles N)
Kiel, WI (10.1 miles SE)
Kiel, WI (10.1 miles SE)
Collins, WI (10.2 miles ENE)
Sherwood, WI (11.4 miles NNW)
Brillion, WI (11.8 miles NNE)

Other Small Populated Places

Gravesville, WI (1.4 miles NE)
Hayton, WI (2.7 miles E)
Charlesburg, WI (3.6 miles S)
Brant, WI (3.9 miles NNW)
Kloten, WI (4.9 miles W)
Jericho, WI (6.1 miles SW)
Quinney, WI (6.8 miles W)
Meggers, WI (7.2 miles ESE)
Dorns Twilight Beach, WI (7.6 miles W)
Garnet, WI (7.6 miles SW)

Wisconsin Research Tools

Wisconsin Census Data Comparison Tool

Compare Wisconsin Census Data
Highest or Lowest: