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Census Block 021504-1-011 in Seminole County, Florida

Population389 (2010), see rank
House Units257, see rank
RaceWhites:96.7%, Hispanics:3.6%, Blacks:2.8%, Asians:0.5%, Others:0%
Total Area:0.05 sq mi
Water Area:0.00 sq mi (0.00%)
State:Florida
Area:Orlando-Kissimmee-Sanford, FL
County:Seminole County
City:Longwood
Census Tract:021504
Census Block Group:021504-1

Census Block 021504-1-011 Map, Border, and Nearby Locations

Population by Races

White:376 (96.66%, see rank)
Black:11 (2.83%, see rank)
Hispanic:14 (3.60%, see rank)
Asian:2 (0.51%, 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:0 (0.00%, see rank)

Population by Gender

Male: 80 (20.57%, see rank)
Females: 309 (79.43%, see rank)

Household and Family

 Census Block 021504-1-011%
Total Households218100%
Average Household Size1.08, see rank-
1 Person Households20192.20%, see rank
2 or More Person Households177.80%, see rank
Family Households (Families)156.88%, see rank
Average Family Size2.00, see rank-
Married-Couple Family156.88%, see rank
Nonfamily Households20393.12%, see rank

Housing Occupancy

 Census Block 021504-1-011%
Total Housing Units257100%
Occupied Housing Units21884.82%, see rank
Owner Occupied20.78%, see rank
Owner Occupied with Mortgage10.39%
Owner Occupied without Mortgage10.39%
Renter Occupied21684.05%, see rank
Vacant Housing Units3915.18%, see rank
For Rent3814.79%, see rank
For Sale Only00.00%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use00.00%, see rank
For Migrant Workers00.00%, see rank
Other Vacant10.39%, 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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