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Census Block 014016-1-001 in Hillsborough County, Florida

Population475 (2010), see rank
House Units310, see rank
RaceWhites:96.2%, Hispanics:1.1%, Blacks:1.9%, Asians:1.3%, Others:0.6%
Total Area:1.75 sq mi
Water Area:0.01 sq mi (0.83%)
State:Florida
Area:Tampa-St. Petersburg-Clearwater, FL
County:Hillsborough County
City:Sun City Center
Census Tract:014016
Census Block Group:014016-1

Census Block 014016-1-001 Map, Border, and Nearby Locations

Population by Races

White:457 (96.21%, see rank)
Black:9 (1.89%, see rank)
Hispanic:5 (1.05%, see rank)
Asian:6 (1.26%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):1 (0.21%, see rank)
One Race, Other:2 (0.42%, see rank)
Two or More Races:0 (0.00%, see rank)

Population by Gender

Male: 225 (47.37%, see rank)
Females: 250 (52.63%, see rank)

Household and Family

 Census Block 014016-1-001%
Total Households263100%
Average Household Size1.81, see rank-
1 Person Households5621.29%, see rank
2 or More Person Households20778.71%, see rank
Family Households (Families)20076.05%, see rank
Average Family Size2.02, see rank-
Married-Couple Family19574.14%, see rank
Nonfamily Households6323.95%, see rank

Housing Occupancy

 Census Block 014016-1-001%
Total Housing Units310100%
Occupied Housing Units26384.84%, see rank
Owner Occupied25883.23%, see rank
Owner Occupied with Mortgage10032.26%
Owner Occupied without Mortgage15850.97%
Renter Occupied51.61%, see rank
Vacant Housing Units4715.16%, see rank
For Rent41.29%, see rank
For Sale Only92.90%, see rank
Rented or Sold, Not Occupied20.65%, see rank
For Seasonal, Recreational, or Occasional Use309.68%, see rank
For Migrant Workers00.00%, see rank
Other Vacant20.65%, 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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