Wolf Bay in King County WA


Wolf Bay - Physical Feature (Bay) in King County

Wolf Bay is a physical feature (bay) in King County. The primary coordinates for Wolf Bay places it within the WA 98105 ZIP Code delivery area.

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


Wolf Bay - Maps, Driving Directions & Local Area Information

Feature Name: Wolf Bay
Category: Washington physical, cultural and historic features
Feature Type: Physical
Class: Bay
County: King County
Latitude: 47.6642651
Longitude: -122.2662361
GNIS ID: 1509602
Camera Icon Photos of the local King 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.


Wolf Bay - Maps & Aerial Photos

Search the map for:
BIG Map | Driving Directions | Data Source - USGS GNIS ID: 1509602


Nearby Cities, Towns & CDPs

Hunts Point, WA (2.4 miles SE)
Yarrow Point, WA (2.7 miles ESE)
Clyde Hill, WA (3.1 miles SE)
Kirkland, WA (3.1 miles ENE)
Medina, WA (3.6 miles SSE)
Bellevue, WA (4.7 miles SE)
Seattle, WA (5.1 miles SW)
Beaux Arts Village, WA (6.3 miles SSE)
Lake Forest Park, WA (6.4 miles N)
Kenmore, WA (6.6 miles N)

Other Small Populated Places

Laurelhurst, WA (< 0.1 mile)
University Village, WA (< 0.1 mile)
Windermere, WA (< 0.1 mile)
Hawthorne Hills, WA (< 0.1 mile)
Sand Point, WA (1.4 miles NNE)
Bryant, WA (1.4 miles WNW)
Pontiac, WA (1.4 miles NNW)
View Ridge, WA (1.4 miles NNW)
Ravenna, WA (1.4 miles WNW)
Edgewater Park, WA (1.4 miles SSW)

Washington Research Tools

Washington Census Data Comparison Tool

Compare Washington Census Data
Highest or Lowest: