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Census Block 014011-1-020 in Hillsborough County, Florida

Population403 (2010), see rank
House Units304, see rank
RaceWhites:98.3%, Hispanics:2.2%, Blacks:1%, Asians:0.2%, Others:0.5%
Total Area:0.17 sq mi
Water Area:0.01 sq mi (5.33%)
State:Florida
Area:Tampa-St. Petersburg-Clearwater, FL
County:Hillsborough County
City:Sun City Center
Census Tract:014011
Census Block Group:014011-1

Census Block 014011-1-020 Map, Border, and Nearby Locations

Population by Races

White:396 (98.26%, see rank)
Black:4 (0.99%, see rank)
Hispanic:9 (2.23%, see rank)
Asian:1 (0.25%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):0 (0.00%, see rank)
One Race, Other:1 (0.25%, see rank)
Two or More Races:1 (0.25%, see rank)

Population by Gender

Male: 171 (42.43%, see rank)
Females: 232 (57.57%, see rank)

Household and Family

 Census Block 014011-1-020%
Total Households260100%
Average Household Size1.55, see rank-
1 Person Households12648.46%, see rank
2 or More Person Households13451.54%, see rank
Family Households (Families)12548.08%, see rank
Average Family Size2.06, see rank-
Married-Couple Family10741.15%, see rank
Nonfamily Households13551.92%, see rank

Housing Occupancy

 Census Block 014011-1-020%
Total Housing Units304100%
Occupied Housing Units26085.53%, see rank
Owner Occupied24781.25%, see rank
Owner Occupied with Mortgage8026.32%
Owner Occupied without Mortgage16754.93%
Renter Occupied134.28%, see rank
Vacant Housing Units4414.47%, see rank
For Rent20.66%, see rank
For Sale Only154.93%, see rank
Rented or Sold, Not Occupied10.33%, see rank
For Seasonal, Recreational, or Occasional Use227.24%, see rank
For Migrant Workers00.00%, see rank
Other Vacant41.32%, 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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