Hewlett-Woodmere Union Free School District Historical House Occupancy Status Data
ACS 2010-2014 data
| Hewlett-Woodmere Union Free School District | New York | U.S. |
Total Housing Units | 6,855, see rank, 100% | 8,153,309 | 132,741,033 |
Occupied Housing Units | 6,327, 92.30%, see rank | 88.99% | 87.55% |
Owner Occupied | 5,774, 84.23%, see rank | 47.92% | 56.34% |
Renter Occupied | 553, 8.07%, see rank | 41.07% | 31.21% |
Vacant Housing Units | 528, 7.70%, see rank | 11.01% | 12.45% |
For Rent | 154, 2.25%, see rank | 1.92% | 2.34% |
For Sale Only | 114, 1.66%, see rank | 0.87% | 1.20% |
Rented or Sold, Not Occupied | 13, 0.19%, see rank | 0.95% | 0.92% |
For Seasonal, Recreational, or Occasional Use | 103, 1.50%, see rank | 3.84% | 3.97% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 144, 2.10%, see rank | 3.42% | 4.00% |
US Census 2010 data
| Hewlett-Woodmere Union Free School District | New York | U.S. |
Total Housing Units | 7,212, see rank, 100% | 8,108,103 | 131,704,730 |
Occupied Housing Units | 6,855, 95.05%, see rank | 90.25% | 88.62% |
Owner Occupied | 5,978, 82.89%, see rank | 48.07% | 57.69% |
Renter Occupied | 877, 12.16%, see rank | 42.18% | 30.93% |
Vacant Housing Units | 357, 4.95%, see rank | 9.75% | 11.38% |
For Rent | 57, 0.79%, see rank | 2.47% | 3.14% |
For Sale Only | 105, 1.46%, see rank | 0.95% | 1.44% |
Rented or Sold, Not Occupied | 32, 0.44%, see rank | 0.42% | 0.48% |
For Seasonal, Recreational, or Occasional Use | 99, 1.37%, see rank | 3.57% | 3.53% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.02% |
Other Vacant | 64, 0.89%, see rank | 2.33% | 2.77% |
ACS 2008-2012 data
| Hewlett-Woodmere Union Free School District | New York | U.S. |
Total Housing Units | 6,849, see rank, 100% | 8,102,223 | 131,642,457 |
Occupied Housing Units | 6,425, 93.81%, see rank | 89.25% | 87.53% |
Owner Occupied | 5,804, 84.74%, see rank | 48.64% | 57.34% |
Renter Occupied | 621, 9.07%, see rank | 40.61% | 30.19% |
Vacant Housing Units | 424, 6.19%, see rank | 10.75% | 12.47% |
For Rent | 184, 2.69%, see rank | 1.97% | 2.50% |
For Sale Only | 170, 2.48%, see rank | 0.91% | 1.38% |
Rented or Sold, Not Occupied | 51, 0.74%, see rank | 0.95% | 0.91% |
For Seasonal, Recreational, or Occasional Use | 10, 0.15%, see rank | 3.57% | 3.81% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 9, 0.13%, see rank | 3.34% | 3.84% |
ACS 2006-2010 data
| Hewlett-Woodmere Union Free School District | New York | U.S. |
Total Housing Units | 7,040, see rank, 100% | 8,050,835 | 130,038,080 |
Occupied Housing Units | 6,766, 96.11%, see rank | 89.50% | 87.85% |
Owner Occupied | 5,790, 82.24%, see rank | 49.40% | 58.51% |
Renter Occupied | 976, 13.86%, see rank | 40.10% | 29.33% |
Vacant Housing Units | 274, 3.89%, see rank | 10.50% | 12.15% |
For Rent | 86, 1.22%, see rank | 2.01% | 2.53% |
For Sale Only | 30, 0.43%, see rank | 0.88% | 1.45% |
Rented or Sold, Not Occupied | 70, 0.99%, see rank | 0.98% | 0.95% |
For Seasonal, Recreational, or Occasional Use | 25, 0.36%, see rank | 3.42% | 3.60% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 63, 0.89%, see rank | 3.19% | 3.59% |
ACS 2005-2009 data
| Hewlett-Woodmere Union Free School District | New York | U.S. |
Total Housing Units | 6,885, see rank, 100% | 7,950,035 | 127,699,712 |
Occupied Housing Units | 6,637, 96.40%, see rank | 89.77% | 88.18% |
Owner Occupied | 5,746, 83.46%, see rank | 50.03% | 58.98% |
Renter Occupied | 891, 12.94%, see rank | 39.74% | 29.20% |
Vacant Housing Units | 248, 3.60%, see rank | 10.23% | 11.82% |
For Rent | 66, 0.96%, see rank | 2.01% | 2.52% |
For Sale Only | 31, 0.45%, see rank | 0.85% | 1.39% |
Rented or Sold, Not Occupied | 72, 1.05%, see rank | 1.00% | 0.99% |
For Seasonal, Recreational, or Occasional Use | 15, 0.22%, see rank | 3.33% | 3.45% |
For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
Other Vacant | 64, 0.93%, see rank | 3.03% | 3.44% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.