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17050 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 17050 Zip CodePennsylvaniaU.S.
Total Housing Units14,812, see rank, 100%5,578,393132,741,033
Occupied Housing Units14,275, 96.37%, see rank88.87%87.55%
Owner Occupied11,114, 75.03%, see rank61.78%56.34%
Renter Occupied3,161, 21.34%, see rank27.10%31.21%
Vacant Housing Units537, 3.63%, see rank11.13%12.45%
For Rent79, 0.53%, see rank1.77%2.34%
For Sale Only99, 0.67%, see rank1.08%1.20%
Rented or Sold, Not Occupied54, 0.36%, see rank0.87%0.92%
For Seasonal, Recreational, or Occasional Use106, 0.72%, see rank3.08%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant199, 1.34%, see rank4.31%4.00%

US Census 2010 data

 17050 Zip CodePennsylvaniaU.S.
Total Housing Units14,292, see rank, 100%5,567,315131,704,730
Occupied Housing Units13,345, 93.37%, see rank90.15%88.62%
Owner Occupied10,469, 73.25%, see rank62.72%57.69%
Renter Occupied2,876, 20.12%, see rank27.43%30.93%
Vacant Housing Units947, 6.63%, see rank9.85%11.38%
For Rent301, 2.11%, see rank2.43%3.14%
For Sale Only215, 1.50%, see rank1.16%1.44%
Rented or Sold, Not Occupied69, 0.48%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use78, 0.55%, see rank2.90%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant284, 1.99%, see rank2.82%2.77%

ACS 2008-2012 data

 17050 Zip CodePennsylvaniaU.S.
Total Housing Units14,049, see rank, 100%5,563,832131,642,457
Occupied Housing Units13,579, 96.65%, see rank89.14%87.53%
Owner Occupied10,707, 76.21%, see rank62.52%57.34%
Renter Occupied2,872, 20.44%, see rank26.62%30.19%
Vacant Housing Units470, 3.35%, see rank10.86%12.47%
For Rent79, 0.56%, see rank1.80%2.50%
For Sale Only127, 0.90%, see rank1.15%1.38%
Rented or Sold, Not Occupied106, 0.75%, see rank0.86%0.91%
For Seasonal, Recreational, or Occasional Use69, 0.49%, see rank3.03%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant89, 0.63%, 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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