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Census Block 407900-3-000 in Nassau County, New York

Population564 (2010), see rank
House Units262, see rank
RaceWhites:94.3%, Hispanics:2.3%, Blacks:4.8%, Asians:0.5%, Others:0.4%
Total Area:0.09 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:Nassau County
City:East Meadow
Census Tract:407900
Census Block Group:407900-3

Census Block 407900-3-000 Map, Border, and Nearby Locations

Population by Races

White:532 (94.33%, see rank)
Black:27 (4.79%, see rank)
Hispanic:13 (2.30%, see rank)
Asian:3 (0.53%, 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:2 (0.35%, see rank)

Population by Gender

Male: 142 (25.18%, see rank)
Females: 422 (74.82%, see rank)

Household and Family

 Census Block 407900-3-000%
Total Households252100%
Average Household Size1.22, see rank-
1 Person Households19778.17%, see rank
2 or More Person Households5521.83%, see rank
Family Households (Families)4417.46%, see rank
Average Family Size2.02, see rank-
Married-Couple Family3815.08%, see rank
Nonfamily Households20882.54%, see rank

Housing Occupancy

 Census Block 407900-3-000%
Total Housing Units262100%
Occupied Housing Units25296.18%, see rank
Owner Occupied9737.02%, see rank
Owner Occupied with Mortgage3312.60%
Owner Occupied without Mortgage6424.43%
Renter Occupied15559.16%, see rank
Vacant Housing Units103.82%, see rank
For Rent20.76%, see rank
For Sale Only41.53%, see rank
Rented or Sold, Not Occupied00.00%, see rank
For Seasonal, Recreational, or Occasional Use00.00%, see rank
For Migrant Workers00.00%, see rank
Other Vacant41.53%, 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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