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Census Block 007747-2-003 in Palm Beach County, Florida

Population557 (2010), see rank
House Units588, see rank
RaceWhites:97.1%, Hispanics:2.2%, Blacks:1.1%, Asians:0.2%, Others:1.6%
Total Area:0.06 sq mi
Water Area:0.00 sq mi (0.00%)
State:Florida
Area:Miami-Fort Lauderdale-Pompano Beach, FL
County:Palm Beach County
City:Boca Raton
Census Tract:007747
Census Block Group:007747-2

Census Block 007747-2-003 Map, Border, and Nearby Locations

Population by Races

White:541 (97.13%, see rank)
Black:6 (1.08%, see rank)
Hispanic:12 (2.15%, see rank)
Asian:1 (0.18%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):1 (0.18%, see rank)
One Race, Other:0 (0.00%, see rank)
Two or More Races:8 (1.44%, see rank)

Population by Gender

Male: 197 (35.37%, see rank)
Females: 360 (64.63%, see rank)

Household and Family

 Census Block 007747-2-003%
Total Households386100%
Average Household Size1.44, see rank-
1 Person Households22257.51%, see rank
2 or More Person Households16442.49%, see rank
Family Households (Families)15239.38%, see rank
Average Family Size2.05, see rank-
Married-Couple Family13735.49%, see rank
Nonfamily Households23460.62%, see rank

Housing Occupancy

 Census Block 007747-2-003%
Total Housing Units588100%
Occupied Housing Units38665.65%, see rank
Owner Occupied32154.59%, see rank
Owner Occupied with Mortgage7612.93%
Owner Occupied without Mortgage24541.67%
Renter Occupied6511.05%, see rank
Vacant Housing Units20234.35%, see rank
For Rent203.40%, see rank
For Sale Only213.57%, see rank
Rented or Sold, Not Occupied30.51%, see rank
For Seasonal, Recreational, or Occasional Use12521.26%, see rank
For Migrant Workers00.00%, see rank
Other Vacant335.61%, 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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