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Census Block 720102-4-016 in Ocean County, New Jersey

Population222 (2010), see rank
House Units188, see rank
RaceWhites:93.7%, Hispanics:2.7%, Blacks:2.3%, Asians:0.5%, Others:3.6%
Total Area:0.10 sq mi
Water Area:0.00 sq mi (0.57%)
State:New Jersey
Area:New York-Northern New Jersey-Long Island, NY-NJ-PA
County:Ocean County
City:Crestwood Village
Census Tract:720102
Census Block Group:720102-4

Census Block 720102-4-016 Map, Border, and Nearby Locations

Population by Races

White:208 (93.69%, see rank)
Black:5 (2.25%, see rank)
Hispanic:6 (2.70%, see rank)
Asian:1 (0.45%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):0 (0.00%, see rank)
One Race, Other:4 (1.80%, see rank)
Two or More Races:4 (1.80%, see rank)

Population by Gender

Male: 95 (42.79%, see rank)
Females: 127 (57.21%, see rank)

Household and Family

 Census Block 720102-4-016%
Total Households156100%
Average Household Size1.42, see rank-
1 Person Households9158.33%, see rank
2 or More Person Households6541.67%, see rank
Family Households (Families)5937.82%, see rank
Average Family Size2.02, see rank-
Married-Couple Family5032.05%, see rank
Nonfamily Households9762.18%, see rank

Housing Occupancy

 Census Block 720102-4-016%
Total Housing Units188100%
Occupied Housing Units15682.98%, see rank
Owner Occupied14878.72%, see rank
Owner Occupied with Mortgage63.19%
Owner Occupied without Mortgage14275.53%
Renter Occupied84.26%, see rank
Vacant Housing Units3217.02%, see rank
For Rent10.53%, see rank
For Sale Only31.60%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use147.45%, see rank
For Migrant Workers00.00%, see rank
Other Vacant147.45%, 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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