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Census Block 807003-3-014 in Monmouth County, New Jersey

Population235 (2010), see rank
House Units221, see rank
RaceWhites:54.9%, Hispanics:7.2%, Blacks:41.3%, Asians:0.4%, Others:3.4%
Total Area:0.01 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:Monmouth County
City:Asbury Park
Census Tract:807003
Census Block Group:807003-3

Census Block 807003-3-014 Map, Border, and Nearby Locations

Population by Races

White:129 (54.89%, see rank)
Black:97 (41.28%, see rank)
Hispanic:17 (7.23%, see rank)
Asian:1 (0.43%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):1 (0.43%, see rank)
One Race, Other:3 (1.28%, see rank)
Two or More Races:4 (1.70%, see rank)

Population by Gender

Male: 107 (45.53%, see rank)
Females: 128 (54.47%, see rank)

Household and Family

 Census Block 807003-3-014%
Total Households212100%
Average Household Size1.11, see rank-
1 Person Households19290.57%, see rank
2 or More Person Households209.43%, see rank
Family Households (Families)188.49%, see rank
Average Family Size2.17, see rank-
Married-Couple Family104.72%, see rank
Nonfamily Households19491.51%, see rank

Housing Occupancy

 Census Block 807003-3-014%
Total Housing Units221100%
Occupied Housing Units21295.93%, see rank
Owner Occupied20.90%, see rank
Owner Occupied with Mortgage00.00%
Owner Occupied without Mortgage20.90%
Renter Occupied21095.02%, see rank
Vacant Housing Units94.07%, see rank
For Rent62.71%, see rank
For Sale Only00.00%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use00.00%, see rank
For Migrant Workers00.00%, see rank
Other Vacant31.36%, 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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