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Census Block 008206-3-007 in Middlesex County, New Jersey

Population343 (2010), see rank
House Units285, see rank
RaceWhites:96.2%, Hispanics:0.9%, Blacks:0.9%, Asians:2.9%, 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:Middlesex County
City:Monroe Township
Census Tract:008206
Census Block Group:008206-3

Census Block 008206-3-007 Map, Border, and Nearby Locations

Population by Races

White:330 (96.21%, see rank)
Black:3 (0.87%, see rank)
Hispanic:3 (0.87%, see rank)
Asian:10 (2.92%, 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: 87 (25.36%, see rank)
Females: 256 (74.64%, see rank)

Household and Family

 Census Block 008206-3-007%
Total Households246100%
Average Household Size1.16, see rank-
1 Person Households20784.15%, see rank
2 or More Person Households3915.85%, see rank
Family Households (Families)3413.82%, see rank
Average Family Size2.00, see rank-
Married-Couple Family3112.60%, see rank
Nonfamily Households21286.18%, see rank

Housing Occupancy

 Census Block 008206-3-007%
Total Housing Units285100%
Occupied Housing Units24686.32%, see rank
Owner Occupied7827.37%, see rank
Owner Occupied with Mortgage134.56%
Owner Occupied without Mortgage6522.81%
Renter Occupied16858.95%, see rank
Vacant Housing Units3913.68%, see rank
For Rent3211.23%, see rank
For Sale Only00.00%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use10.35%, see rank
For Migrant Workers00.00%, see rank
Other Vacant62.11%, 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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