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Census Block 002003-1-012 in Charleston County, South Carolina

Population326 (2010), see rank
House Units257, see rank
RaceWhites:98.5%, Hispanics:0%, Blacks:1.5%, Asians:0%, Others:0%
Total Area:0.03 sq mi
Water Area:0.00 sq mi (0.00%)
State:South Carolina
Area:Charleston-North Charleston, SC
County:Charleston County
City:Charleston
Census Tract:002003
Census Block Group:002003-1

Census Block 002003-1-012 Map, Border, and Nearby Locations

Population by Races

White:321 (98.47%, see rank)
Black:5 (1.53%, see rank)
Hispanic:0 (0.00%, see rank)
Asian:0 (0.00%, 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: 98 (30.06%, see rank)
Females: 228 (69.94%, see rank)

Household and Family

 Census Block 002003-1-012%
Total Households237100%
Average Household Size1.20, see rank-
1 Person Households19080.17%, see rank
2 or More Person Households4719.83%, see rank
Family Households (Families)4719.83%, see rank
Average Family Size2.00, see rank-
Married-Couple Family4518.99%, see rank
Nonfamily Households19080.17%, see rank

Housing Occupancy

 Census Block 002003-1-012%
Total Housing Units257100%
Occupied Housing Units23792.22%, see rank
Owner Occupied3714.40%, see rank
Owner Occupied with Mortgage114.28%
Owner Occupied without Mortgage2610.12%
Renter Occupied20077.82%, see rank
Vacant Housing Units207.78%, see rank
For Rent187.00%, see rank
For Sale Only00.00%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use20.78%, see rank
For Migrant Workers00.00%, see rank
Other Vacant00.00%, 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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