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18202 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 18202 Zip CodePennsylvaniaU.S.
Total Housing Units5,709, see rank, 100%5,578,393132,741,033
Occupied Housing Units4,570, 80.05%, see rank88.87%87.55%
Owner Occupied2,920, 51.15%, see rank61.78%56.34%
Renter Occupied1,650, 28.90%, see rank27.10%31.21%
Vacant Housing Units1,139, 19.95%, see rank11.13%12.45%
For Rent59, 1.03%, see rank1.77%2.34%
For Sale Only185, 3.24%, see rank1.08%1.20%
Rented or Sold, Not Occupied29, 0.51%, see rank0.87%0.92%
For Seasonal, Recreational, or Occasional Use444, 7.78%, see rank3.08%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant422, 7.39%, see rank4.31%4.00%

US Census 2010 data

 18202 Zip CodePennsylvaniaU.S.
Total Housing Units5,608, see rank, 100%5,567,315131,704,730
Occupied Housing Units4,738, 84.49%, see rank90.15%88.62%
Owner Occupied3,141, 56.01%, see rank62.72%57.69%
Renter Occupied1,597, 28.48%, see rank27.43%30.93%
Vacant Housing Units870, 15.51%, see rank9.85%11.38%
For Rent112, 2.00%, see rank2.43%3.14%
For Sale Only130, 2.32%, see rank1.16%1.44%
Rented or Sold, Not Occupied25, 0.45%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use419, 7.47%, see rank2.90%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant184, 3.28%, see rank2.82%2.77%

ACS 2008-2012 data

 18202 Zip CodePennsylvaniaU.S.
Total Housing Units5,890, see rank, 100%5,563,832131,642,457
Occupied Housing Units4,890, 83.02%, see rank89.14%87.53%
Owner Occupied3,220, 54.67%, see rank62.52%57.34%
Renter Occupied1,670, 28.35%, see rank26.62%30.19%
Vacant Housing Units1,000, 16.98%, see rank10.86%12.47%
For Rent140, 2.38%, see rank1.80%2.50%
For Sale Only191, 3.24%, see rank1.15%1.38%
Rented or Sold, Not Occupied34, 0.58%, see rank0.86%0.91%
For Seasonal, Recreational, or Occasional Use337, 5.72%, see rank3.03%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant298, 5.06%, 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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