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17015 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 17015 Zip CodePennsylvaniaU.S.
Total Housing Units8,382, see rank, 100%5,578,393132,741,033
Occupied Housing Units8,137, 97.08%, see rank88.87%87.55%
Owner Occupied7,141, 85.19%, see rank61.78%56.34%
Renter Occupied996, 11.88%, see rank27.10%31.21%
Vacant Housing Units245, 2.92%, see rank11.13%12.45%
For Rent0, 0.00%, see rank1.77%2.34%
For Sale Only52, 0.62%, see rank1.08%1.20%
Rented or Sold, Not Occupied43, 0.51%, see rank0.87%0.92%
For Seasonal, Recreational, or Occasional Use4, 0.05%, see rank3.08%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant146, 1.74%, see rank4.31%4.00%

US Census 2010 data

 17015 Zip CodePennsylvaniaU.S.
Total Housing Units8,579, see rank, 100%5,567,315131,704,730
Occupied Housing Units8,183, 95.38%, see rank90.15%88.62%
Owner Occupied7,127, 83.07%, see rank62.72%57.69%
Renter Occupied1,056, 12.31%, see rank27.43%30.93%
Vacant Housing Units396, 4.62%, see rank9.85%11.38%
For Rent80, 0.93%, see rank2.43%3.14%
For Sale Only113, 1.32%, see rank1.16%1.44%
Rented or Sold, Not Occupied29, 0.34%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use69, 0.80%, see rank2.90%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant105, 1.22%, see rank2.82%2.77%

ACS 2008-2012 data

 17015 Zip CodePennsylvaniaU.S.
Total Housing Units8,629, see rank, 100%5,563,832131,642,457
Occupied Housing Units8,410, 97.46%, see rank89.14%87.53%
Owner Occupied7,280, 84.37%, see rank62.52%57.34%
Renter Occupied1,130, 13.10%, see rank26.62%30.19%
Vacant Housing Units219, 2.54%, see rank10.86%12.47%
For Rent9, 0.10%, see rank1.80%2.50%
For Sale Only60, 0.70%, see rank1.15%1.38%
Rented or Sold, Not Occupied53, 0.61%, see rank0.86%0.91%
For Seasonal, Recreational, or Occasional Use0, 0.00%, see rank3.03%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant97, 1.12%, see rank4.01%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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