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Census Block 044501-3-012 in Morris County, New Jersey

Population609 (2010), see rank
House Units463, see rank
RaceWhites:97.5%, Hispanics:0.8%, Blacks:0.2%, Asians:1.8%, Others:0.5%
Total Area:0.14 sq mi
Water Area:0.01 sq mi (4.02%)
State:New Jersey
Area:New York-Northern New Jersey-Long Island, NY-NJ-PA
County:Morris County
City:Rockaway
Census Tract:044501
Census Block Group:044501-3

Census Block 044501-3-012 Map, Border, and Nearby Locations

Population by Races

White:594 (97.54%, see rank)
Black:1 (0.16%, see rank)
Hispanic:5 (0.82%, see rank)
Asian:11 (1.81%, 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:3 (0.49%, see rank)

Population by Gender

Male: 215 (35.30%, see rank)
Females: 394 (64.70%, see rank)

Household and Family

 Census Block 044501-3-012%
Total Households423100%
Average Household Size1.44, see rank-
1 Person Households24156.97%, see rank
2 or More Person Households18243.03%, see rank
Family Households (Families)16939.95%, see rank
Average Family Size2.02, see rank-
Married-Couple Family15135.70%, see rank
Nonfamily Households25460.05%, see rank

Housing Occupancy

 Census Block 044501-3-012%
Total Housing Units463100%
Occupied Housing Units42391.36%, see rank
Owner Occupied38783.59%, see rank
Owner Occupied with Mortgage10222.03%
Owner Occupied without Mortgage28561.56%
Renter Occupied367.78%, see rank
Vacant Housing Units408.64%, see rank
For Rent20.43%, see rank
For Sale Only194.10%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use102.16%, see rank
For Migrant Workers00.00%, see rank
Other Vacant91.94%, 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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