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Census Block 720103-1-031 in Ocean County, New Jersey

Population109 (2010), see rank
House Units96, see rank
RaceWhites:95.4%, Hispanics:3.7%, Blacks:2.8%, Asians:1.8%, Others:0%
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:Pine Ridge At Crestwood
Census Tract:720103
Census Block Group:720103-1

Census Block 720103-1-031 Map, Border, and Nearby Locations

Population by Races

White:104 (95.41%, see rank)
Black:3 (2.75%, see rank)
Hispanic:4 (3.67%, see rank)
Asian:2 (1.83%, 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:0 (0.00%, see rank)

Population by Gender

Male: 48 (44.04%, see rank)
Females: 61 (55.96%, see rank)

Household and Family

 Census Block 720103-1-031%
Total Households78100%
Average Household Size1.40, see rank-
1 Person Households5165.38%, see rank
2 or More Person Households2734.62%, see rank
Family Households (Families)2430.77%, see rank
Average Family Size2.08, see rank-
Married-Couple Family1316.67%, see rank
Nonfamily Households5469.23%, see rank

Housing Occupancy

 Census Block 720103-1-031%
Total Housing Units96100%
Occupied Housing Units7881.25%, see rank
Owner Occupied6870.83%, see rank
Owner Occupied with Mortgage1111.46%
Owner Occupied without Mortgage5759.38%
Renter Occupied1010.42%, see rank
Vacant Housing Units1818.75%, see rank
For Rent00.00%, see rank
For Sale Only55.21%, see rank
Rented or Sold, Not Occupied22.08%, see rank
For Seasonal, Recreational, or Occasional Use33.13%, see rank
For Migrant Workers00.00%, see rank
Other Vacant88.33%, 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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