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Census Block 703219-1-001 in Montgomery County, Maryland

Population422 (2010), see rank
House Units336, see rank
RaceWhites:90%, Hispanics:1.9%, Blacks:5.9%, Asians:3.1%, Others:0.9%
Total Area:0.10 sq mi
Water Area:0.00 sq mi (0.57%)
State:Maryland
Area:Washington-Arlington-Alexandria, DC-VA-MD-WV
County:Montgomery County
City:Leisure World
Census Tract:703219
Census Block Group:703219-1

Census Block 703219-1-001 Map, Border, and Nearby Locations

Population by Races

White:380 (90.05%, see rank)
Black:25 (5.92%, see rank)
Hispanic:8 (1.90%, see rank)
Asian:13 (3.08%, see rank)
Native (American Indian, Alaska Native, Hawaiian Native, etc.):0 (0.00%, see rank)
One Race, Other:4 (0.95%, see rank)
Two or More Races:0 (0.00%, see rank)

Population by Gender

Male: 149 (35.31%, see rank)
Females: 273 (64.69%, see rank)

Household and Family

 Census Block 703219-1-001%
Total Households302100%
Average Household Size1.40, see rank-
1 Person Households18661.59%, see rank
2 or More Person Households11638.41%, see rank
Family Households (Families)11337.42%, see rank
Average Family Size2.03, see rank-
Married-Couple Family10835.76%, see rank
Nonfamily Households18962.58%, see rank

Housing Occupancy

 Census Block 703219-1-001%
Total Housing Units336100%
Occupied Housing Units30289.88%, see rank
Owner Occupied26779.46%, see rank
Owner Occupied with Mortgage8826.19%
Owner Occupied without Mortgage17953.27%
Renter Occupied3510.42%, see rank
Vacant Housing Units3410.12%, see rank
For Rent10.30%, see rank
For Sale Only82.38%, see rank
Rented or Sold, Not Occupied41.19%, see rank
For Seasonal, Recreational, or Occasional Use144.17%, see rank
For Migrant Workers00.00%, see rank
Other Vacant72.08%, 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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