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Census Block 716000-3-000 in Ocean County, New Jersey

Population231 (2010), see rank
House Units223, see rank
RaceWhites:96.5%, Hispanics:2.2%, Blacks:3%, Asians:0%, Others:0.4%
Total Area:0.05 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 716000-3-000 Map, Border, and Nearby Locations

Population by Races

White:223 (96.54%, see rank)
Black:7 (3.03%, see rank)
Hispanic:5 (2.16%, see rank)
Asian:0 (0.00%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):0 (0.00%, see rank)
One Race, Other:0 (0.00%, see rank)
Two or More Races:1 (0.43%, see rank)

Population by Gender

Male: 78 (33.77%, see rank)
Females: 153 (66.23%, see rank)

Household and Family

 Census Block 716000-3-000%
Total Households185100%
Average Household Size1.25, see rank-
1 Person Households14075.68%, see rank
2 or More Person Households4524.32%, see rank
Family Households (Families)4021.62%, see rank
Average Family Size2.03, see rank-
Married-Couple Family2412.97%, see rank
Nonfamily Households14578.38%, see rank

Housing Occupancy

 Census Block 716000-3-000%
Total Housing Units223100%
Occupied Housing Units18582.96%, see rank
Owner Occupied13861.88%, see rank
Owner Occupied with Mortgage6930.94%
Owner Occupied without Mortgage6930.94%
Renter Occupied4721.08%, see rank
Vacant Housing Units3817.04%, see rank
For Rent20.90%, see rank
For Sale Only83.59%, see rank
Rented or Sold, Not Occupied20.90%, see rank
For Seasonal, Recreational, or Occasional Use20.90%, see rank
For Migrant Workers00.00%, see rank
Other Vacant2410.76%, 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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