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Census Block 720202-3-015 in Ocean County, New Jersey

Population117 (2010), see rank
House Units102, see rank
RaceWhites:92.3%, Hispanics:2.6%, Blacks:3.4%, Asians:2.6%, Others:1.7%
Total Area:0.02 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 West
Census Tract:720202
Census Block Group:720202-3

Census Block 720202-3-015 Map, Border, and Nearby Locations

Population by Races

White:108 (92.31%, see rank)
Black:4 (3.42%, see rank)
Hispanic:3 (2.56%, see rank)
Asian:3 (2.56%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):0 (0.00%, see rank)
One Race, Other:2 (1.71%, see rank)
Two or More Races:0 (0.00%, see rank)

Population by Gender

Male: 37 (31.62%, see rank)
Females: 80 (68.38%, see rank)

Household and Family

 Census Block 720202-3-015%
Total Households90100%
Average Household Size1.30, see rank-
1 Person Households6572.22%, see rank
2 or More Person Households2527.78%, see rank
Family Households (Families)1921.11%, see rank
Average Family Size2.11, see rank-
Married-Couple Family1516.67%, see rank
Nonfamily Households7178.89%, see rank

Housing Occupancy

 Census Block 720202-3-015%
Total Housing Units102100%
Occupied Housing Units9088.24%, see rank
Owner Occupied5654.90%, see rank
Owner Occupied with Mortgage2625.49%
Owner Occupied without Mortgage3029.41%
Renter Occupied3433.33%, see rank
Vacant Housing Units1211.76%, see rank
For Rent10.98%, see rank
For Sale Only10.98%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use65.88%, see rank
For Migrant Workers00.00%, see rank
Other Vacant43.92%, 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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