Census Block 110201-2-019 in Crawford County, Pennsylvania
Census Block 110201-2-019 Map, Border, and Nearby Locations
Population by Races
| White: | 9 (64.29%, see rank) |
| Black: | 2 (14.29%, see rank) |
| Hispanic: | 1 (7.14%, 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: | 3 (21.43%, see rank) |
Population by Age
Median Age: 17,
see rankMedian Age, Female: 17,
see rank| | Census Block 110201-2-019 | % of the Total Population |
| Under 5 years | 0 | 0.00%, see rank |
| 5 to 9 years | 0 | 0.00%, see rank |
| 10 to 14 years | 1 | 7.14%, see rank |
| 15 to 19 years | 13 | 92.86%, see rank |
| 20 to 24 years | 0 | 0.00%, see rank |
| 25 to 34 years | 0 | 0.00%, see rank |
| 35 to 44 years | 0 | 0.00%, see rank |
| 45 to 54 years | 0 | 0.00%, see rank |
| 55 to 64 years | 0 | 0.00%, see rank |
| 65 to 74 years | 0 | 0.00%, see rank |
| 75 to 84 | 0 | 0.00%, see rank |
| 85 years and over | 0 | 0.00%, see rank |
Housing Occupancy
| | Census Block 110201-2-019 | % |
| Total Housing Units | 1 | 100% |
| Occupied Housing Units | 0 | 0.00%, see rank |
| Owner Occupied | 0 | 0.00%, see rank |
| Owner Occupied with Mortgage | 0 | 0.00% |
| Owner Occupied without Mortgage | 0 | 0.00% |
| Renter Occupied | 0 | 0.00%, see rank |
| Vacant Housing Units | 1 | 100.00%, see rank |
| For Rent | 1 | 100.00%, see rank |
| For Sale Only | 0 | 0.00%, see rank |
| Rented or Sold, Not Occupied | 0 | 0.00%, see rank |
| For Seasonal, Recreational, or Occasional Use | 0 | 0.00%, see rank |
| For Migrant Workers | 0 | 0.00%, see rank |
| Other Vacant | 0 | 0.00%, 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.
