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Census Block 011600-3-013 in Westchester County, New York

Population193 (2010), see rank
House Units167, see rank
RaceWhites:97.9%, Hispanics:0%, Blacks:1.6%, Asians:0.5%, Others:0%
Total Area:0.11 sq mi
Water Area:0.00 sq mi (0.00%)
State:New York
Area:New York-Northern New Jersey-Long Island, NY-NJ-PA
County:Westchester County
City:Sleepy Hollow
Census Tract:011600
Census Block Group:011600-3

Census Block 011600-3-013 Map, Border, and Nearby Locations

Population by Races

White:189 (97.93%, see rank)
Black:3 (1.55%, see rank)
Hispanic:0 (0.00%, see rank)
Asian:1 (0.52%, 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: 56 (29.02%, see rank)
Females: 137 (70.98%, see rank)

Household and Family

 Census Block 011600-3-013%
Total Households154100%
Average Household Size1.25, see rank-
1 Person Households11775.97%, see rank
2 or More Person Households3724.03%, see rank
Family Households (Families)3321.43%, see rank
Average Family Size2.06, see rank-
Married-Couple Family3019.48%, see rank
Nonfamily Households12178.57%, see rank

Housing Occupancy

 Census Block 011600-3-013%
Total Housing Units167100%
Occupied Housing Units15492.22%, see rank
Owner Occupied2917.37%, see rank
Owner Occupied with Mortgage10.60%
Owner Occupied without Mortgage2816.77%
Renter Occupied12574.85%, see rank
Vacant Housing Units137.78%, see rank
For Rent31.80%, see rank
For Sale Only00.00%, see rank
Rented or Sold, Not Occupied10.60%, see rank
For Seasonal, Recreational, or Occasional Use74.19%, see rank
For Migrant Workers00.00%, see rank
Other Vacant21.20%, 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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