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Census Block 716000-3-013 in Ocean County, New Jersey

Population329 (2010), see rank
House Units294, see rank
RaceWhites:94.8%, Hispanics:4%, Blacks:1.5%, Asians:0.9%, Others:2.7%
Total Area:0.08 sq mi
Water Area:0.00 sq mi (0.00%)
State:New Jersey
Area:New York-Northern New Jersey-Long Island, NY-NJ-PA
County:Ocean County
City:Leisure Village East
Census Tract:716000
Census Block Group:716000-3

Census Block 716000-3-013 Map, Border, and Nearby Locations

Population by Races

White:312 (94.83%, see rank)
Black:5 (1.52%, see rank)
Hispanic:13 (3.95%, see rank)
Asian:3 (0.91%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):0 (0.00%, see rank)
One Race, Other:4 (1.22%, see rank)
Two or More Races:5 (1.52%, see rank)

Population by Gender

Male: 108 (32.83%, see rank)
Females: 221 (67.17%, see rank)

Household and Family

 Census Block 716000-3-013%
Total Households253100%
Average Household Size1.30, see rank-
1 Person Households18673.52%, see rank
2 or More Person Households6726.48%, see rank
Family Households (Families)5822.92%, see rank
Average Family Size2.16, see rank-
Married-Couple Family4718.58%, see rank
Nonfamily Households19577.08%, see rank

Housing Occupancy

 Census Block 716000-3-013%
Total Housing Units294100%
Occupied Housing Units25386.05%, see rank
Owner Occupied20670.07%, see rank
Owner Occupied with Mortgage8328.23%
Owner Occupied without Mortgage12341.84%
Renter Occupied4715.99%, see rank
Vacant Housing Units4113.95%, see rank
For Rent20.68%, see rank
For Sale Only124.08%, see rank
Rented or Sold, Not Occupied20.68%, see rank
For Seasonal, Recreational, or Occasional Use175.78%, see rank
For Migrant Workers00.00%, see rank
Other Vacant82.72%, 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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