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10075 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 10075 Zip CodeNew YorkU.S.
Total Housing Units16,508, see rank, 100%8,153,309132,741,033
Occupied Housing Units13,567, 82.18%, see rank88.99%87.55%
Owner Occupied5,966, 36.14%, see rank47.92%56.34%
Renter Occupied7,601, 46.04%, see rank41.07%31.21%
Vacant Housing Units2,941, 17.82%, see rank11.01%12.45%
For Rent587, 3.56%, see rank1.92%2.34%
For Sale Only71, 0.43%, see rank0.87%1.20%
Rented or Sold, Not Occupied213, 1.29%, see rank0.95%0.92%
For Seasonal, Recreational, or Occasional Use1,098, 6.65%, see rank3.84%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant972, 5.89%, see rank3.42%4.00%

US Census 2010 data

 10075 Zip CodeNew YorkU.S.
Total Housing Units16,493, see rank, 100%8,108,103131,704,730
Occupied Housing Units14,622, 88.66%, see rank90.25%88.62%
Owner Occupied6,057, 36.72%, see rank48.07%57.69%
Renter Occupied8,565, 51.93%, see rank42.18%30.93%
Vacant Housing Units1,871, 11.34%, see rank9.75%11.38%
For Rent411, 2.49%, see rank2.47%3.14%
For Sale Only135, 0.82%, see rank0.95%1.44%
Rented or Sold, Not Occupied99, 0.60%, see rank0.42%0.48%
For Seasonal, Recreational, or Occasional Use1,010, 6.12%, see rank3.57%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant216, 1.31%, see rank2.33%2.77%

ACS 2008-2012 data

 10075 Zip CodeNew YorkU.S.
Total Housing Units16,157, see rank, 100%8,102,223131,642,457
Occupied Housing Units13,599, 84.17%, see rank89.25%87.53%
Owner Occupied6,142, 38.01%, see rank48.64%57.34%
Renter Occupied7,457, 46.15%, see rank40.61%30.19%
Vacant Housing Units2,558, 15.83%, see rank10.75%12.47%
For Rent606, 3.75%, see rank1.97%2.50%
For Sale Only120, 0.74%, see rank0.91%1.38%
Rented or Sold, Not Occupied184, 1.14%, see rank0.95%0.91%
For Seasonal, Recreational, or Occasional Use812, 5.03%, see rank3.57%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant836, 5.17%, see rank3.34%3.84%

* 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.


 
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