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Census Block 410302-2-020 in Delaware County, Pennsylvania

Population604 (2010), see rank
House Units634, see rank
RaceWhites:99.3%, Hispanics:0.2%, Blacks:0.5%, Asians:0%, Others:0.2%
Total Area:0.15 sq mi
Water Area:0.00 sq mi (0.00%)
State:Pennsylvania
Area:Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
County:Delaware County
City:Glen Mills
Census Tract:410302
Census Block Group:410302-2

Census Block 410302-2-020 Map, Border, and Nearby Locations

Population by Races

White:600 (99.34%, see rank)
Black:3 (0.50%, see rank)
Hispanic:1 (0.17%, 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:1 (0.17%, see rank)

Population by Gender

Male: 233 (38.58%, see rank)
Females: 371 (61.42%, see rank)

Household and Family

 Census Block 410302-2-020%
Total Households453100%
Average Household Size1.33, see rank-
1 Person Households30266.67%, see rank
2 or More Person Households15133.33%, see rank
Family Households (Families)14932.89%, see rank
Average Family Size2.00, see rank-
Married-Couple Family14632.23%, see rank
Nonfamily Households30467.11%, see rank

Housing Occupancy

 Census Block 410302-2-020%
Total Housing Units634100%
Occupied Housing Units45371.45%, see rank
Owner Occupied8413.25%, see rank
Owner Occupied with Mortgage71.10%
Owner Occupied without Mortgage7712.15%
Renter Occupied36958.20%, see rank
Vacant Housing Units18128.55%, see rank
For Rent518.04%, see rank
For Sale Only7011.04%, see rank
Rented or Sold, Not Occupied121.89%, see rank
For Seasonal, Recreational, or Occasional Use40.63%, see rank
For Migrant Workers00.00%, see rank
Other Vacant446.94%, 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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