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19060 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 19060 Zip CodePennsylvaniaU.S.
Total Housing Units3,735, see rank, 100%5,578,393132,741,033
Occupied Housing Units3,703, 99.14%, see rank88.87%87.55%
Owner Occupied3,545, 94.91%, see rank61.78%56.34%
Renter Occupied158, 4.23%, see rank27.10%31.21%
Vacant Housing Units32, 0.86%, see rank11.13%12.45%
For Rent0, 0.00%, see rank1.77%2.34%
For Sale Only12, 0.32%, see rank1.08%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.87%0.92%
For Seasonal, Recreational, or Occasional Use20, 0.54%, see rank3.08%3.97%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant0, 0.00%, see rank4.31%4.00%

US Census 2010 data

 19060 Zip CodePennsylvaniaU.S.
Total Housing Units3,923, see rank, 100%5,567,315131,704,730
Occupied Housing Units3,793, 96.69%, see rank90.15%88.62%
Owner Occupied3,676, 93.70%, see rank62.72%57.69%
Renter Occupied117, 2.98%, see rank27.43%30.93%
Vacant Housing Units130, 3.31%, see rank9.85%11.38%
For Rent2, 0.05%, see rank2.43%3.14%
For Sale Only76, 1.94%, see rank1.16%1.44%
Rented or Sold, Not Occupied18, 0.46%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use15, 0.38%, see rank2.90%3.53%
For Migrant Workers0, 0.00%, see rank0.01%0.02%
Other Vacant19, 0.48%, see rank2.82%2.77%

ACS 2008-2012 data

 19060 Zip CodePennsylvaniaU.S.
Total Housing Units3,734, see rank, 100%5,563,832131,642,457
Occupied Housing Units3,661, 98.04%, see rank89.14%87.53%
Owner Occupied3,509, 93.97%, see rank62.52%57.34%
Renter Occupied152, 4.07%, see rank26.62%30.19%
Vacant Housing Units73, 1.96%, see rank10.86%12.47%
For Rent0, 0.00%, see rank1.80%2.50%
For Sale Only55, 1.47%, see rank1.15%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.86%0.91%
For Seasonal, Recreational, or Occasional Use18, 0.48%, see rank3.03%3.81%
For Migrant Workers0, 0.00%, see rank0.01%0.03%
Other Vacant0, 0.00%, 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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