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Census Block 005926-2-002 in Palm Beach County, Florida

Population781 (2010), see rank
House Units560, see rank
RaceWhites:99.5%, Hispanics:1.2%, Blacks:0%, Asians:0.3%, Others:0.3%
Total Area:0.46 sq mi
Water Area:0.00 sq mi (0.00%)
State:Florida
Area:Miami-Fort Lauderdale-Pompano Beach, FL
County:Palm Beach County
City:Boynton Beach
Census Tract:005926
Census Block Group:005926-2

Census Block 005926-2-002 Map, Border, and Nearby Locations

Population by Races

White:777 (99.49%, see rank)
Black:0 (0.00%, see rank)
Hispanic:9 (1.15%, see rank)
Asian:2 (0.26%, 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 (0.26%, see rank)

Population by Gender

Male: 336 (43.02%, see rank)
Females: 445 (56.98%, see rank)

Household and Family

 Census Block 005926-2-002%
Total Households473100%
Average Household Size1.65, see rank-
1 Person Households17737.42%, see rank
2 or More Person Households29662.58%, see rank
Family Households (Families)27057.08%, see rank
Average Family Size2.04, see rank-
Married-Couple Family26255.39%, see rank
Nonfamily Households20342.92%, see rank

Housing Occupancy

 Census Block 005926-2-002%
Total Housing Units560100%
Occupied Housing Units47384.46%, see rank
Owner Occupied45881.79%, see rank
Owner Occupied with Mortgage17431.07%
Owner Occupied without Mortgage28450.71%
Renter Occupied152.68%, see rank
Vacant Housing Units8715.54%, see rank
For Rent20.36%, see rank
For Sale Only81.43%, see rank
Rented or Sold, Not Occupied30.54%, see rank
For Seasonal, Recreational, or Occasional Use6411.43%, see rank
For Migrant Workers00.00%, see rank
Other Vacant101.79%, 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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