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Census Block 201004-2-003 in Montgomery County, Pennsylvania

Population499 (2010), see rank
House Units314, see rank
RaceWhites:99%, Hispanics:0.6%, Blacks:0.4%, Asians:0.4%, Others:0.2%
Total Area:0.03 sq mi
Water Area:0.00 sq mi (0.00%)
State:Pennsylvania
Area:Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
County:Montgomery County
City:Lansdale
Census Tract:201004
Census Block Group:201004-2

Census Block 201004-2-003 Map, Border, and Nearby Locations

Population by Races

White:494 (99.00%, see rank)
Black:2 (0.40%, see rank)
Hispanic:3 (0.60%, see rank)
Asian:2 (0.40%, 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:1 (0.20%, see rank)

Population by Gender

Male: 164 (32.87%, see rank)
Females: 335 (67.13%, see rank)

Household and Family

 Census Block 201004-2-003%
Total Households295100%
Average Household Size1.39, see rank-
1 Person Households18161.36%, see rank
2 or More Person Households11438.64%, see rank
Family Households (Families)11237.97%, see rank
Average Family Size2.01, see rank-
Married-Couple Family10736.27%, see rank
Nonfamily Households18362.03%, see rank

Housing Occupancy

 Census Block 201004-2-003%
Total Housing Units314100%
Occupied Housing Units29593.95%, see rank
Owner Occupied4915.61%, see rank
Owner Occupied with Mortgage30.96%
Owner Occupied without Mortgage4614.65%
Renter Occupied24678.34%, see rank
Vacant Housing Units196.05%, see rank
For Rent185.73%, see rank
For Sale Only00.00%, see rank
Rented or Sold, Not Occupied10.32%, see rank
For Seasonal, Recreational, or Occasional Use00.00%, 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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