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Census Block 054201-2-004 in Somerset County, New Jersey

Population333 (2010), see rank
House Units253, see rank
RaceWhites:98.2%, Hispanics:0.9%, Blacks:0.9%, Asians:0.3%, Others:0.6%
Total Area:0.03 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:Somerset County
City:Skillman
Census Tract:054201
Census Block Group:054201-2

Census Block 054201-2-004 Map, Border, and Nearby Locations

Population by Races

White:327 (98.20%, see rank)
Black:3 (0.90%, see rank)
Hispanic:3 (0.90%, see rank)
Asian:1 (0.30%, 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:2 (0.60%, see rank)

Population by Gender

Male: 91 (27.33%, see rank)
Females: 242 (72.67%, see rank)

Household and Family

 Census Block 054201-2-004%
Total Households242100%
Average Household Size1.17, see rank-
1 Person Households20283.47%, see rank
2 or More Person Households4016.53%, see rank
Family Households (Families)3815.70%, see rank
Average Family Size2.00, see rank-
Married-Couple Family3815.70%, see rank
Nonfamily Households20484.30%, see rank

Housing Occupancy

 Census Block 054201-2-004%
Total Housing Units253100%
Occupied Housing Units24295.65%, see rank
Owner Occupied4919.37%, see rank
Owner Occupied with Mortgage00.00%
Owner Occupied without Mortgage4919.37%
Renter Occupied19376.28%, see rank
Vacant Housing Units114.35%, see rank
For Rent93.56%, see rank
For Sale Only00.00%, see rank
Rented or Sold, Not Occupied20.79%, see rank
For Seasonal, Recreational, or Occasional Use00.00%, see rank
For Migrant Workers00.00%, see rank
Other Vacant00.00%, 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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