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Census Block 351103-1-000 in Contra Costa County, California

Population401 (2010), see rank
House Units303, see rank
RaceWhites:92.3%, Hispanics:0.7%, Blacks:0.2%, Asians:6.7%, Others:0.7%
Total Area:0.43 sq mi
Water Area:0.00 sq mi (0.00%)
State:California
Area:San Francisco-Oakland-Fremont, CA
County:Contra Costa County
City:Walnut Creek
Census Tract:351103
Census Block Group:351103-1

Census Block 351103-1-000 Map, Border, and Nearby Locations

Population by Races

White:370 (92.27%, see rank)
Black:1 (0.25%, see rank)
Hispanic:3 (0.75%, see rank)
Asian:27 (6.73%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):2 (0.50%, see rank)
One Race, Other:0 (0.00%, see rank)
Two or More Races:1 (0.25%, see rank)

Population by Gender

Male: 144 (35.91%, see rank)
Females: 257 (64.09%, see rank)

Household and Family

 Census Block 351103-1-000%
Total Households278100%
Average Household Size1.42, see rank-
1 Person Households16157.91%, see rank
2 or More Person Households11742.09%, see rank
Family Households (Families)10136.33%, see rank
Average Family Size2.00, see rank-
Married-Couple Family8932.01%, see rank
Nonfamily Households17763.67%, see rank

Housing Occupancy

 Census Block 351103-1-000%
Total Housing Units303100%
Occupied Housing Units27891.75%, see rank
Owner Occupied27390.10%, see rank
Owner Occupied with Mortgage9330.69%
Owner Occupied without Mortgage18059.41%
Renter Occupied51.65%, see rank
Vacant Housing Units258.25%, see rank
For Rent10.33%, see rank
For Sale Only82.64%, see rank
Rented or Sold, Not Occupied30.99%, see rank
For Seasonal, Recreational, or Occasional Use72.31%, see rank
For Migrant Workers00.00%, see rank
Other Vacant61.98%, see rank

*Based on 2010 data.


*A census block is the smallest geographic area defined by the United States Census Bureau to take census. In total, there are more than 10 million census blocks in the United Status with an average of around 30 residents in each. A census block normally only covers a street block or a small community. It is ideal for studying data relating to the smallest geographic area.


 
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