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Census Block 020107-2-007 in Pinellas County, Florida

Population495 (2010), see rank
House Units514, see rank
RaceWhites:92.1%, Hispanics:0.4%, Blacks:1.2%, Asians:5.3%, Others:1.4%
Total Area:0.03 sq mi
Water Area:0.00 sq mi (0.00%)
State:Florida
Area:Tampa-St. Petersburg-Clearwater, FL
County:Pinellas County
City:Saint Petersburg
Census Tract:020107
Census Block Group:020107-2

Census Block 020107-2-007 Map, Border, and Nearby Locations

Population by Races

White:456 (92.12%, see rank)
Black:6 (1.21%, see rank)
Hispanic:2 (0.40%, see rank)
Asian:26 (5.25%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):0 (0.00%, see rank)
One Race, Other:3 (0.61%, see rank)
Two or More Races:4 (0.81%, see rank)

Population by Gender

Male: 205 (41.41%, see rank)
Females: 290 (58.59%, see rank)

Household and Family

 Census Block 020107-2-007%
Total Households329100%
Average Household Size1.50, see rank-
1 Person Households16951.37%, see rank
2 or More Person Households16048.63%, see rank
Family Households (Families)15246.20%, see rank
Average Family Size2.04, see rank-
Married-Couple Family14343.47%, see rank
Nonfamily Households17753.80%, see rank

Housing Occupancy

 Census Block 020107-2-007%
Total Housing Units514100%
Occupied Housing Units32964.01%, see rank
Owner Occupied30158.56%, see rank
Owner Occupied with Mortgage8616.73%
Owner Occupied without Mortgage21541.83%
Renter Occupied285.45%, see rank
Vacant Housing Units18535.99%, see rank
For Rent40.78%, see rank
For Sale Only203.89%, see rank
Rented or Sold, Not Occupied20.39%, see rank
For Seasonal, Recreational, or Occasional Use14428.02%, see rank
For Migrant Workers00.00%, see rank
Other Vacant152.92%, 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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